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I am 33, have an AS degree in networking, 15 credits short of a sociology degree, I'm currently about 3-4 semesters from finishing a CS degree. I'm just lost and confused. I spent a year learning SQL and another learning Python trying to get a data analysis, or a SWE role but kept hearing "we want a bachelor's degree.
Im about 3.5 weeks away from finals and I'm going to pass all my classes, but I'm super burnt out from taking a 15 credit load with a physics & discrete math class in the same semester
I have about 4 YOE in real estate photography but there just isn't enough money in the field so I tried to pivot. I honestly don't know what to even think anymore. I don't know what my passions are anymore either. I wonder if I was imagining the tech field to be something it wasn't, and that I'm just a another scrub reaching for something that doesn't exist. | r/itcareerquestions | post | r/ITCareerQuestions | 2025-04-10 | Z0FBQUFBQm9DbVhRb2twbXAyaU1oeEpiUmVnc3RZYWw5RDR4eHVJMFZybmhPblhXeUQ0S3NLdzhOTGYySGNScV9xb1hMUGFKZFVHaEdLcmtmOGkwcWJBbnliZ0MycHVkemdsbWlXRGZJWHpDQ29mQzhSVDVsZTQ9 | Z0FBQUFBQm9DbVhRXy1MWHltdS12YXg3NVZ3NTFoVHp3ZW5EUWFGclpDcVRGU0QwZDdJdkVCVkQ5LThIemg2NDRndFBKdWdVWDI5TEkyU2VSc0lCY19ydjNTZy1lZFhXUU14VEFEYzRRZnFEX0lVT3pCU01LM1dpSkNlbFB4YWdDa2psN2lzTGpjN3BOQk5QSExtS2pnRmdwNlFWNDFROVdZWlMzSHlBYXc2Q2pONVZQX1U5NGRzMEJDb3FYWG5FMzJnWFlfbnVCLUhh |
Back in 2015, I needed to buy some weed but my local dealer only accepted bitcoin.. | r/bitcoin | post | r/Bitcoin | 2025-04-10 | Z0FBQUFBQm9DbVhRS2lHd2VCWEZRdDhqMlowRDJQOGZSZ0lyem82N1JTT0QtVFB5cDR6bmhSY1FiN00yLV90VktHdE5rXzNYTjc1S2lVRTVJd2xqUllZM09xMFNxMEZCcGc9PQ== | Z0FBQUFBQm9DbVhRNV9tdFdXRWtJM3paWi1fSEZjOFVkRFlSc0dURk13V19iNVBpLTJMR1psRzA1OUtlME5fSzZVTHROQmptNmpXZ0ViSnhHUGhTQmltVTJuS0FubkwzbnhoOE40R1RYX3FqU1dJeFpkSWVNTVl1ZEJVYXhKckNzbkM1YTlsM01wUlNUY1dRaExTN0RIeU9LakhxTVF2YlowekVudm9TNGh4WXhfWF9RQkZWcWNBPQ== |
No. BCH is usable as a currency, the intended use case of CRYPTOGRAPHIC currencies, unlike BTC core. But, people just want "number go up" so they can buy a lambo. Otherwise monero would be 100K a coin. | r/bitcoincash | comment | r/Bitcoincash | 2025-04-10 | Z0FBQUFBQm9DbVhRVnBvRU8xdWR4QkJsMTBuWC1Iek9IdW9NSk5XVXJUblVLUFVjWXJPVXhXMk0zT2d0OEYwRTF0eUdIZ0RyOGNmRTFjck92bTJpNTUxdXA4LVFOQVpsamc9PQ== | Z0FBQUFBQm9DbVhRb2NWT185ZmJ2ZGY0RXZWcnlpU1c2RE1VVTl1YXhiXzVsS2REaVRlR0RjTlFkVmhtbHRyN1djU0Q3Zk1ZNGk0ek5tVFRsaXJuVWkxdzlCc2NaMkd1bEtybldIRG1VWTNZeVIzQm81ckh3Y29FcGQwb185UnlCcEF1NmdpNlRYeU0tS2dob2xlaThTdkpaOVl2UzBkNXhGZGZJTEt6SS1RMHFGdVdKeG9qM2FWQXZveldlbWFJd01xSHJkMlFOU24wNWxKbkJjVlhZdXJUNGZvMXYtclhrZz09 |
I had an assignment recently where I lost points due to not following what my teacher considered to be "industry standards" for code. The specific example was including \`using namespace std\` which I know full well has issues, but it made me question what "industry standards" even entail. Like: What type of format for curly braces is most normal, how does one manage memory "correctly," how do we keep up with new updates to languages while not rewriting thousands of lines of code? | r/learnprogramming | post | r/learnprogramming | 2025-04-10 | Z0FBQUFBQm9DbVhRSnJ3YlpyMFpoN1dwakxWSHJkbFdmOGFaZU9MX1VtZHZtcDdrVDlkYVBVaGl6ZnVYb2NOamdXY1VlOVF4c1NCQ2M0RmVvQm80VDhYRDg5bUg0akdDWDIxc1hwNGRwYmxmbzJJOUFnZWhXUWM9 | Z0FBQUFBQm9DbVhRbTlpN2FmOVllelVqMDBYVjNjakYyUTc1TmNiZ2RwV2ZIQXkxV0FhWEl3YXVpOGJYOE4tVzYxV3lJWVFiSDFRWlFKOFpQZmE5cjhjbnY5dHBhWTRxUG5FMkZDejUyMHlDR0hJek53OTIzV3NZX2ZBd1A2RjNSaVZQV2VOWS00UG80UmplT2pPQzJ3QmpFRmh6bkdMOVVsLXVhSVRsU29tUnVrd09la3doMTcwNTRKRlplaWM4dTNnSW5iRDhhOTNF |
I currently make about $100k a year. This salary has allowed me to live very comfortably in terms of cost of living in my city. I have no debt, and my current job is also pretty comfortable. It lets me work from home 2 days a week, my commute is short, and I only rarely need to work over time beyond the 40hrs. Overall it’s been ideal for my slower lifestyle.
This new job opportunity is my salary in the tech industry, a promotion, and would require me to move to CA, Bay Area.
It requires 5 days a week in office, and I know that the expectations for this salary must also require a high amount of overtime and being available 24/7. Having worked for startups before- I’ve already experienced this when I was younger. I was often burnt out, and I’m not sure I could handle that stress and workload anymore.
I also dread moving away from my family and friends and having this job become my entire life in order to justify the salary.
My gut says I should say no, to have a better work life balance, and fear of loneliness separating from my family.
But my head says that at 3x my current salary I have no other option but to say yes.
Is it crazy to say no ? | r/careerguidance | post | r/careerguidance | 2025-04-10 | Z0FBQUFBQm9DbVhRSWVrNFdqT0FpM2FzNWttZkRiSkg4VHJuWDZLYjE0ZmdVMFk3bEtsLU4zYXBPX3pWUzlEVWJoc0Y2aXpxV2Rac1pGVWU5Z2pVSnpMX0N0ZElIUXhTTWpqYTRqSzZzQTZ2UnJWTVpKTUhsRVE9 | Z0FBQUFBQm9DbVhROUxrTzcyX3YzMUtHUFpGalIyNTRGUDE1clBCWDRyVVNQSXVUZ0RHZ25vM3NKV2ZlWDY1am9Wd0xJTWVPc29tX2M3STJ6MWFwV2ljNlpJNjRBWXA0UnVBalNHSEtFam1PNkl1eDkyU0ZtMUtDWjFoSjZCSmp1SEZYV05Jcm8wVVB3Sl9RX3lxTHFXWjR3dGNTLXhrRFc1SjQ2eHVCVi1VVDVQQWVjRVRYRlNTeXN2T183WHdCZFRBRllrY0RtVll6b2hZWEw1M1k4VnpaejNMSzlTMzNtQT09 |
We’ve developed a Dutch auction system, and here is its architecture:
We are using a message broker service as an intermediary to scale our auction server’s WebSocket connections. Our requirement is slightly different: we will have a maximum of 10 ongoing auctions but an unlimited number of auction participants. We are estimating 10K concurrent web socket connections That’s why we have separated the services into the Auction Distributor and the Auction Processor.
**Auction Processor**
* Contains all the core business logic related to the auction.
* Responsible for triggering the **price\_update** event to provide timely updates to clients subscribed to a room.
* Handles processing of the **place\_bid** event sent by clients.
**Auction Distributor**
* Does not contain core business logic.
* Responsible for forwarding events to clients via the maintained socket connections.
* Must scale appropriately in cases of heavy traffic.
https://preview.redd.it/2k3uptxvlxte1.png?width=2765&format=png&auto=webp&s=38d57025738193cca7b418e7ccca80a2680a51fa
Any Feedbacks on improving the design would be appreciated.
Also right now we're using Redis Pub/Sub. However, that is turning out to be quite expensive so please suggest an alternative preferably an azure service for this.
| r/softwareengineering | post | r/SoftwareEngineering | 2025-04-10 | Z0FBQUFBQm9DbVhRVFk2MTFFNVJ4RHVOM3VyYUdJWFgzRUE0MGRXRzZSaDlVaDY5dndTOERpU2dlUndHNlBVeXRMV1JOX213cFEwTUxaa2t2TldsbWF4aUVwSlIzV0pGMWc9PQ== | Z0FBQUFBQm9DbVhRVERUbHN6Ymx2aWlfM3EtaUlTcDhlS1lndGtGUmlCcDE5cXI1UVI0UXQ3WlRmVjM2d0x6ZGRUVzZHOXI2ZjlISC1pbXgwTHU4S3JDRG1EVWdOYUJ0bGNQVUxJVWRJREE1X3pBX0oxZTd2Q0ZzQkJENENYZXJmejNJTG9JeWVzMW41M21JU0xvendHYXh2WVd5U1B5ZWRydW94a2tSUzNVVFBuSlg2dHdPeUVBMVBPdWxUd1FMTUUyZUNpYi1LWHZxQ190R2RyYm9BWlZQU05wQ0xKRkhoZz09 |
If you take a look at the election results map for 2024, which breaks down the leanings of each precint, you generally see a pattern - urban areas vote blue, and rural areas vote red. However, in New England, even the rural areas lean blue. Why is it that this region of the country is the only one that balks the rural=conservative trend? | r/politicaldiscussion | post | r/PoliticalDiscussion | 2025-04-10 | Z0FBQUFBQm9DbVhRRU11N0NLcjdwZDdJZnMxR2NQSVdwWE1lalR1a3I2QlBNU2s4Ylo2eVNKM3FISF9yR1hvd0h4RzlQYzFqRnI4UDZiN2hkbm1ZeWhrcVJ5Z2FzMGNUWXc9PQ== | Z0FBQUFBQm9DbVhRNW1PYWNyUG5scE5zMmNzSlp5Mm9iQy1ob2ZOUWN5bGZTN210WUVkbjVJdGZVQWF2V2tDMDVGVHltcnRkME1nelE5MFdCU2JOQnVSUVpSY0VjS1lkVk1JZ2NDdTZXTEl5NUpOVHc1dEFEZzhNakYyZ1NMblVoWDRzbUtEV2V4Z252TTF5NjV0UEtIRURkUG55QWV2OW4zRTNIVlZZVHY5dlNOX2pkV1BSR21FMnl0U3JGQ1Vfeldwc0lCVy1sSXJMR0tLbTJ1QWxmc2hnLVYwN0xSd3QtTFlwTHplSW4wNWhqSlNxeHBBaHJraz0= |
Anyone using this product? Saw a demo recently but otherwise haven't heard much about them. Would like to get some actual insight on the performance. | r/legaltech | post | r/legaltech | 2025-04-10 | Z0FBQUFBQm9DbVhROHVpb2lDQ1RRQU9HTm92TXFFVS1mOGlIUTNjdU5JMnlRak90aWRmb2ZYQ25qNVVJVG9UVFRaTnV6c0hUdDVOd05RQlFXRXcyaHQ5LVBNYXVyN3diWVE9PQ== | Z0FBQUFBQm9DbVhRNmRqN0lrc2RfWTE3alZWbnY2OTV1TnlPWUVGaGx0enlFeXNidXlaMUROeUptaTBVREZKekhDRkh1UTVrcHRBa0N3aFp5WUZvVDZCa1I1NVlMd3pfQl9xamJRRXI4UG92UGRaQW1MMktWclVVajNRZmlpUkpFdkc2Ty1WYzJOME0zNDhOdGtkemZCSXM0T1k1ZkxpREd3PT0= |
Hi everyone,
I am currently 27 y/o working as a Real Estate Agent and the world of programming and AI seems to fascinates me a lot. I am thinking to switch my career from being an agent to a software engineering and has been practicing Python for a while. The main reason I wanted to switch my career is because I like how tech industry is a very fast paced industry and I wanted to work in FAANGs companies.
However, with all the news about AI is going to replace programmers and stuff makes me doubting myself whether to pursue this career or not. Do you guys have any suggestions on what skills should I harness to become more competent than the other engineers out there? And which area should I focus more on? Especially I do not have any IT degree or CS degree. | r/deeplearning | post | r/deeplearning | 2025-04-10 | Z0FBQUFBQm9DbVhRUnlrdWd0ZVZ0ZDJrWHY3LTlreGhRS3Q3a2REeFlBcUQyTHByNVYxVHJpT1pLVHgyYzkyNzBHMVVqVGdwekFEOFh6OWxzMTZxOXVxeVFBOTduUzc3UFE9PQ== | Z0FBQUFBQm9DbVhRcm1jaXBuZTFtckdMcXNlU1BTSHphYTljbldRazFtTUo3OXlxZVBCZGtKclJJd1ZYTzNGSFkwUjRIRHc1bXFMMkc0V1F5c0dVZ2ppYXZ6bEVwYXh3aUV2d2dNOW9RS3M5ZUJiSUJTOFg5UlpyYkdKMVZPREgyQ0VUUmczaEhfN3h3MlRFbldOUG9acWw5NzFMTHRrY3lQQm1QLTdYZHIxbVl5Wm1qWUdtTWhlZnFGaktRWmJDMXdwTzEydFBzV2hi |
Just crossed with this Lookonchain [Tweet](https://x.com/lookonchain/status/1910169189052260779) that explains that an Ethereum OG just came back from the crypto graveyard after two full years of dormancy to again dump a massive 10,702 $ETH ($16.86M) at around $1,576 per ETH. It is somehow funny because it is the second time that this wallet has chosen to sell and during a major dip as you can see in the following images.
https://preview.redd.it/i18509uw2yte1.png?width=2634&format=png&auto=webp&s=5f75ab006710fb9771bfa0f034b67a883e64e235
https://preview.redd.it/lf79p8px2yte1.png?width=2690&format=png&auto=webp&s=d43177b7a190a10c3acf3496c83aa4e4c312ec4d
To add more info about this whale, according to look on chain, this whale received the ETH as early as **2016**, when the price was around $8 per coin (wet dream). The whale has been holding for nearly a decade and survived through every bull run and still never sold when ETH was soaring past $4000.
He really has generational wealth in his cold wallet and still hits the sell button during the low points. It is like he just want to buy low, HODL forever and sell "low" again.
I have the feeling that someone needs to update his financial calendar and try to time better when they sell.
Anyway we can't remove from that whale the fact that even if he is selling low he is a true diamond hands. But it is that kind of moves that are not rational at all. It may be because of taxes, life events or he maybe just enjoys vibing with bears. Who knows xD
Thoughts? Would you have done the same?
Source:
* Tweet: [https://x.com/lookonchain/status/1910169189052260779](https://x.com/lookonchain/status/1910169189052260779) | r/ethtrader | post | r/ethtrader | 2025-04-10 | Z0FBQUFBQm9DbVhRTkxZUEVDVUU2Y25adjZKSlhrU0FDSk5aR3RVaEtrZkRlZlhBbmE0cGpyQmw5T2M4TURkbHFmZVhveUswMHIwVDRxSHlvbmZwUGMxQVZ0cGxYMjNUTEE9PQ== | Z0FBQUFBQm9DbVhRNW5qTFZtX011Zm93aHEyVVNpdHFLNUZfa1htSEw5aVNRZWs1eWg0R3dUUHBSc0FkUUJCNW95SEc1Rkk5d05DNFpyT3JZTGZ2aTJqLVlvWmRDbk1tWEhFaE9ySTFCeFVkNnN2ek0tV2pWaGpEV1dqSXpSajNVUUpGM0xjUWtFSE9HNjE0M0RPUm4wajBuanBPTDRFTjFoNjViYWdqd3NlN0ZEdkF1a3N5RXFtcmprTGJUdTVEcHpOMmxocEVNdFY0NTdiNlBvQklKVnc2ZDgweDV1dFV5dz09 |
Update: I just found law.stackexchange.com
------------
I've been asking various questions on various AI engines and I want a way to fully verify things. I don't want to hire someone every time this comes up, so I was thinking the local County law library and looking things up in books. This is a slow process, but I can do that if I have to.
I like the idea of queueing up a bunch of questions, then asking them to a live person for verification, but I'm looking for other solutions.
--------
What I had as an idea is to take maybe 3 or 4 AI engines and ask them the same question and compare the difference.
Is there some other effective way to verify the outcome of AI?
Maybe putting together a document and have a paid review on it?
Maybe something like they have for programming. SO (Stack Overflow) is the go to authority for programmers. Is there something like this for law? | r/legaltech | post | r/legaltech | 2025-04-10 | Z0FBQUFBQm9DbVhRRzI1UXdsN1E2aFVQR21uWmhwU0I0N2FWMWhXeS1kanBtMkdlNE4tay1fUXpEeHJzVFk5QjVVclpzOGdZcEwtNThtTDNvY1pteDZnd0tGaUpuWkR0cmc9PQ== | Z0FBQUFBQm9DbVhRb2VaZl92YW45cmV4YmtjOHJfcVdacE83ZTNwQmpiZ3NsdzVqQk5BVWlCUFFOWTdneGMtU3J5MHg2ZnpZaW9UaUhhdy1Uc283emtscllrbzR6cEtvbF93WDVRVXBsLWtjT1BPUmt3Uk5jR3RCYThSNVllX1Z3SUNBZ1FPT2tucXNhYTY1WGZ0LVNQdWpaLUxzM3VMejVqUF9hUFlXcVJyT0JSVU9PcjNMTS1TRXhVLXh4Y0JwTWtjeFhjRDdmWTEzZjRtTXZiekNLLWRwTDZncTJuNU11UT09 |
Hi Legal Tech community,
I’m currently working on a detailed strategic analysis of STP’s product and technology landscape – from architecture and cloud migration to product evolution and AI integration (Legal Twin, Advoware, Lexolution, Compliance Cockpit, etc.).
To sharpen the picture beyond marketing decks and official docs, I’d love to speak with people who:
* understand STP’s **platform strategy**: is there real architectural consolidation, or do they still run multiple isolated stacks?
* have insight into **STP’s cloud journey**: what’s live, what’s hybrid, and how is client migration really handled?
* have worked with or evaluated **Legal Twin, KYC Cockpit, or Lexolution** and can comment on functionality, UX, and gaps
* know how **AI is integrated** – beyond buzzwords – and what distinguishes it (if anything) from other legal AI tools
* can speak to **regulatory readiness and scalability** (e.g., large law firms or in-house legal with high compliance standards)
* can comment on **STP’s positioning vs. modern cloud-native vendors** entering the DACH market
I’m open to fair compensation if your input significantly deepens my understanding – or happy to offer support from my side (e.g. strategic input, sharing the final report, or reciprocal help on tech/product topics).
I already have a lot of internal material (webinars, fact sheets, architecture briefs), but I’m looking for real-world insight.
💡 If you’ve worked with STP, implemented one of their solutions, or have strategic/technical visibility: Let’s talk!
→ DM me if you're open to share your experience. | r/legaltech | post | r/legaltech | 2025-04-10 | Z0FBQUFBQm9DbVhRSEU3Rm5YdGd4QVUyMktaWlZrdzBJWDFIV2YwallHdC1vZm1tWTNMTExfNlpPdFp1RTE2WkJNeFJ4WDFiZDZSbkNoQlhoeFhtTUVBNDlDTnNJQkFHSFE9PQ== | Z0FBQUFBQm9DbVhRemJzVmMySjR2RktCZG1IU0w4cU9KN29hNEI1cExuOHVoOXptTnhfYnRyRGQ1YUlqbVM2MzBlZzRSdFREbURJRGVRek1OX3Z2a01YcGJ3N3VkdkpVT2IybmJRYmpzbE9fQzdtMzR2a21GVkZ6S1hmVzJrel9MSjlBSXRsQ1RYczhKVFRXRmI4VXlUVTFYV0JHME1venBaTzZ6RkNzTnloVkhraTVicWpCZnJVemZpR09Wdll3REJNWFM2Smg3R1RmRlJBSklOeVMxd2ZGRE1qZ3NwYjM2QT09 |
[Fixing the Agent Handoff Problem in LlamaIndex's AgentWorkflow System](https://preview.redd.it/shjbjpxccyte1.png?width=1280&format=png&auto=webp&s=3338b6859f2cc9e4852d1ec0a3ffd59e3511c3e3)
# The position bias in LLMs is the root cause of the problem
I've been working with LlamaIndex's AgentWorkflow framework - a promising multi-agent orchestration system that lets different specialized AI agents hand off tasks to each other. But there's been one frustrating issue: when Agent A hands off to Agent B, Agent B often fails to continue processing the user's original request, forcing users to repeat themselves.
This breaks the natural flow of conversation and creates a poor user experience. Imagine asking for research help, having an agent gather sources and notes, then when it hands off to the writing agent - silence. You have to ask your question again!
[The receiving agent doesn't immediately respond to the user's latest request - the user has to repeat their question.](https://preview.redd.it/ucl76xnmcyte1.png?width=883&format=png&auto=webp&s=4fc975569f3bda5238ebb5ed1e5b08ff7cc86049)
**Why This Happens: The Position Bias Problem**
After investigating, I discovered this stems from how large language models (LLMs) handle long conversations. They suffer from "position bias" - where information at the beginning of a chat gets "forgotten" as new messages pile up.
[Different positions in the chat context have different attention weights. Arxiv 2407.01100](https://preview.redd.it/ugtqdq2tdyte1.png?width=519&format=png&auto=webp&s=cf9978aef461521633c8e20786ed48d8a106a2de)
In AgentWorkflow:
1. User requests go into a memory queue first
2. Each tool call adds 2+ messages (call + result)
3. The original request gets pushed deeper into history
4. By handoff time, it's either buried or evicted due to token limits
[FunctionAgent puts both tool\_call and tool\_call\_result info into ChatMemory, which pushes user requests to the back of the queue.](https://preview.redd.it/ypd4caewdyte1.png?width=786&format=png&auto=webp&s=240629c41c2f581dd7c3c8917912827358db5525)
Research shows that in an 8k token context window, information in the first 10% of positions can lose over 60% of its influence weight. The LLM essentially "forgets" the original request amid all the tool call chatter.
**Failed Attempts**
First, I tried the developer-suggested approach - modifying the handoff prompt to include the original request. This helped the receiving agent see the request, but it still lacked context about previous steps.
[The original handoff implementation didn't include user request information.](https://preview.redd.it/lbnm2laxcyte1.png?width=681&format=png&auto=webp&s=261eb162385f7f471c92a7812c188404ed682548)
[The output of the updated handoff now includes both chat history review and user request information.](https://preview.redd.it/u5eukjkycyte1.png?width=681&format=png&auto=webp&s=2956e9aa2f88ce7aa65da0f09fbdb93a7930aa27)
Next, I tried reinserting the original request after handoff. This worked better - the agent responded - but it didn't understand the full history, producing incomplete results.
[After each handoff, I copy the original user request to the queue's end. ](https://preview.redd.it/j5irsta0dyte1.png?width=807&format=png&auto=webp&s=f4cbaf58ca093a06938e0ccf9cd7ea9164def92d)
**The Solution: Strategic Memory Management**
The breakthrough came when I realized we needed to work with the LLM's natural attention patterns rather than against them. My solution:
1. **Clean Chat History**: Only keep actual user messages and agent responses in the conversation flow
2. **Tool Results to System Prompt**: Move all tool call results into the system prompt where they get 3-5x more attention weight
3. **State Management**: Use the framework's state system to preserve critical context between agents
[Attach the tool call result as state info in the system\_prompt.](https://preview.redd.it/yj1wmx06eyte1.png?width=634&format=png&auto=webp&s=96272c1d5ead65d83881780ae6ee4d92d7c0e7aa)
This approach respects how LLMs actually process information while maintaining all necessary context.
**The Results**
After implementing this:
* Receiving agents immediately continue the conversation
* They have full awareness of previous steps
* The workflow completes naturally without repetition
* Output quality improves significantly
For example, in a research workflow:
1. Search agent finds sources and takes notes
2. Writing agent receives handoff
3. It immediately produces a complete report using all gathered information
[ResearchAgent not only continues processing the user request but fully perceives the search notes, ultimately producing a perfect research report.](https://preview.redd.it/1hw8vza8dyte1.png?width=671&format=png&auto=webp&s=b721645671c5639c2e0b7990395ed077a992900f)
**Why This Matters**
Understanding position bias isn't just about fixing this specific issue - it's crucial for anyone building LLM applications. These principles apply to:
* All multi-agent systems
* Complex workflows
* Any application with extended conversations
The key lesson: LLMs don't treat all context equally. Design your memory systems accordingly.
[In different LLMs, the positions where the model focuses on important info don't always match the actual important info spots. ](https://preview.redd.it/ex69ri8cdyte1.png?width=575&format=png&auto=webp&s=d680659f6e9889775c4d24b650e06ac9791945df)
**Want More Details?**
If you're interested in:
* The exact code implementation
* Deeper technical explanations
* Additional experiments and findings
Check out the full article on
[https://www.dataleadsfuture.com/fixing-the-agent-handoff-problem-in-llamaindexs-agentworkflow-system/](https://www.dataleadsfuture.com/fixing-the-agent-handoff-problem-in-llamaindexs-agentworkflow-system/)
I've included all source code and a more thorough discussion of position bias research.
Have you encountered similar issues with agent handoffs? What solutions have you tried? Let's discuss in the comments! | r/datascience | post | r/datascience | 2025-04-10 | Z0FBQUFBQm9DbVhRcURXdG1lSVhNQXpxY0g4NTJmXzRqcE9uZklocDVDX1pucjdhaW85d0RCVEhRREM1cWNMOWVXS2FteTA1LWVXSUV3aUJ1cWpqLXlKa3FkM2NLWjNLRUE9PQ== | Z0FBQUFBQm9DbVhRTHVqMjl5Q3JlQ1FRbUpoSDdZVl8zN2JpNFFjdzN5c3lseWNxVmhwblYzNmVFRFk0em5OMk9VRnFLQ2Y5TFA0RGN0bFgxWlZqV2xCSVZUU3VRZzFKT2lGeHUyZHlYeUNzanlNSHE4Q0xQcklYZzZJSTMwWWstXzJJRlJzQml1UElxeUlWN0h2SmNQY2QtZ0N6ZUNPVGpZSU5QRTNteERTb1VXQ1pSeGd5UGFKeGxMS1ZzeV9aMzZUeXVFblRsaW53Sk1ob19WaEdNOGFEeGkxT241T3A1Zz09 |
Hi folks,
This is just a rant about a sad and frustrating experience I had recently. I was approached on Discord by a guy who asked me about a web application I built as a project (which already had a decent user base). He told me he had a huge Twitter following and was working on an app and website similar to mine. He just wanted me to review it.
Then he shows me the site. Holy hell.
It was a **single-page Flutter Web app** — more or less garbage:
* No email validation
* You could spam fake accounts non-stop
* Enter wrong credentials? No error message, nothing
* And the biggest joke — **the client wanted sharable pages**, but since it's a SPA, that’s literally not possible the way it’s built
I inspected everything and laid out the flaws to the client. He was stunned and asked if *I* could build the site. Now I am not a freelancer, but he offered solid money and I already had reusable components, so why not.
Here’s the worst part:
**The client had already paid $20,000 upfront to that clown** — no contract, no milestones. The delivery was supposed to be this month. and neither app is ready and let's not talk about the website What *is* there looks like something out of a second-year college project — rushed, broken, and that too for 20K USD.
When I pointed out the issues to the original dev, he got defensive and said, *“I can build a full site in 1–2 days, it’s easy.”* Yeah bro, we’ve all heard that one before, if its so easy why its not ready even after 2 months.
Now this dev know client wants me to build his website, but i don't know what he told the client, Man I really feel bad for the client, he is now afraid that he has already paid money and if the prev dev find it offensive to have me build his website that dev might not deliver anything, there is no contract, and he already paid all the money. He will have to settle with whatever that mf delivers. And he can’t even ask for a refund. He’s trapped. He’s scared. And I can’t do a damn thing about it.
Honestly, I feel bad for both of us.
The client got scammed.
And I, someone who actually knows how to build full-stack production-grade apps, get to sit and watch this circus.
**Why the hell do such devs keep getting big-budget projects just because of their social media clout? even if they get at least deliver accordingly to the budget why scam the client.**
It’s infuriating. The dev couldn’t build a proper login system and walked away with 20K. Meanwhile, people like us who know what we’re doing have to grind twice as hard to even get noticed.
This client even offered me $2K, but now he’s stuck and there’s nothing I can do except scream into the void.
That’s all. I needed to get this off my chest.
Thank you guys for reading my rant. if you are a client please find a genuine dev, see their previous work and never I repeat never give 100% money before delivery. Milestones exist for a reason. | r/webdev | post | r/webdev | 2025-04-10 | Z0FBQUFBQm9DbVhRRm45WURDMlFub3F3MmtDQmptOVVEUlBDb2dGS0JJSDY4NHpIQUZTWFBFVUpHYzdSenl4S1Z3cENiWllUQWEwejlKYVhnOXFxYWZnLWM1ZU80eGJHaWowMjdlMktrUTJJcGJFbzQzZ2ZscVE9 | Z0FBQUFBQm9DbVhRRVN1NHhnTXFGSFZ5dWxhbnUxc1JSTk5aRloyaTAxNmVCY2lkczg5Sm9fTFlzRWFCYnMxZlMtUUJnR09MRHV5NWhCQk1wNGZOZUVMRVp3VDRSQmJUU2d5VTk0RlJ4bDBERTVndk9ORnV5TlgxSThVTWYxRmtiaGlBQURuYTY1Nzh5TVozUWUtamZha0pBZ3lCcm5sUkZsMk44bTFTc2FSWXJ1LXdnMGhCeFN2X01UYzBpOGZ5TUFmUjdsY2RqQzJfdlVzVDNyX3RMbG5tNE5KU3JWV3hpdz09 |
Being usable as a currency should be a prerequisite for people to acquire this type of "hard money" cryptocurrency.
Which would make the price rise, as it has before.
The problem right now is a manipulated market and success propaganda and censorship, amid promotion of controlled opposition (to p2p cash). | r/bitcoincash | comment | r/Bitcoincash | 2025-04-10 | Z0FBQUFBQm9DbVhRSG5xcjlXRjBMRGJJRXlDWHFXMng1eGp2c3hDUl9ZOGJUbnlzc1FTdVRndzFER0R3dTM5STB1NXBpVDNYR3VTMmZCTEY3S3BRM3VNRjMxSFZXeUxaOGc9PQ== | Z0FBQUFBQm9DbVhRTlhTT28xVnpsVHloTXRrZkxqcl9Ja3ZUdXVpcEtIVjhRejRIci1sR0dLSld4Z1lRNFRoNmVXV291QWxjX1hfYy0xZG1rQnpkMmJfNGNMUF9CX2Y0Q3gzQnlaZnhxNTlKaXlPMnRlNWZCZE1tblV5YUhJYjJrb2dHelZoV0lIN01BekI2SXo5UG94RnlydDRKcmpPY25Jb21haGpZeWxLMjVNekpteE1uVmdyWUZMN1o4b3QyVWJGM2ZUeDNXWnNlZDZVMWlwS0h4U21uMGdEQ2hwdDlUZz09 |
Most people know they don't fully understand the financial system (I am understating the severity of this problem), and thus they don't trust themselves to understand the solution offered by Bitcoin (a peer to peer electronic cash system) even though the advantages of such money (if it were to gain acceptance) are immense.
Not trusting themselves to understand it, they ignore it, believe what existing financial authorities tell them about it (often a rather biased story since 2009) and rather play the lottery (stonks, ponzi "coins" ... incl. BTC these days).
It's a shame. It really seems people need a shock (or a hugely visible, like nation level, example of how peer to peer cash adoption can succeed).
I don't think any form of speculation is the "killer app" for bringing Bitcoin awareness to the masses.
It's mildly encouraging that a lot of people now recognize the threat of inflation and the difficulty of saving for old age, and some of them may re-examine what is wrong with our financial systems and whether it's a problem inherent in the facile money printing of fiat (debt money). | r/btc | post | r/btc | 2025-04-10 | Z0FBQUFBQm9DbVhRa09MYUd2S1hYMm0xNzg5dHlGNmlKQ2RGRnYyMVRGMm1WNTFwbWxhZl9MYXhwdFN5M2ozNHFpNUYtUzJKTjJoYm5lbUNnSVRZTDNxOFZJS1dRRzJYR2c9PQ== | Z0FBQUFBQm9DbVhRVXNhMTVzUGVJN181cEJzS2p2a1BfQ1JyemRvZ3djU2g1LTU2VGtWbzdoZkE4enpwblcxQlFpTWVmZmtRRm5JdHROVXBkYXdsREhFdHBWak5zb0JYcm14dDBzSWRycFZuX2NETExqbmZvMjJuVk1lVTNocG8tYkxWSk5qZ0NzMkR2QnNfQXIzZGRaWHJnSjlxMERkczl6alpyS1hZeDdCUkZfRUhKOFFSay1BWUd4am9wSEFQdDRReDdWTDFjSEw0 |
Hi folks,
I am currently dealing with multiple (10-20) new OT sites getting build in the next 2-3 years.
So I need a network design for these and startet to first think how much networks do we need and ended with 7 different networks.
On some of these networks we only need 40-50ips and on some others only 3-4 devices.
So i thinked about making /26 and /29 networks to not waste IPs and have the same design in all sites.
For example:
Site1:
Network1: 10.1.1.0/26
Network2: 10.2.1.0/29
...
Site2:
Network1: 10.1.1.64/26
Network2: 10.2.1.8/29
...
Is this a bad idea or mistake in my network design?
When the sites are builed no devices are getting added/ no more IPs needed.
Any suggestions or changes that I should do?
Appreciate your help!! 🙂 | r/networking | post | r/networking | 2025-04-10 | Z0FBQUFBQm9DbVhRYmJsdmJHeVg2TVBVZWZUVF9zZkIyVXo0c2IteWxNRUNhNkJUWTFKLXBuVlBDV29ZN0VWMHVaOC1yTXRVVU4wWVIwZE15OGpWaUxUczBGd2haMzhGcUE9PQ== | Z0FBQUFBQm9DbVhROUo3X0taeDN1c05nRHY2UlU1dElpd2NRc1UtWlAtU0pCd2hmVU1TVlRkeW14R3pvMXJib3YzZmRlT0ptam5ZY3JsMDZLWXl3eEp3YnVwcjFmTVVtNnZsUFdqcVJKcFlzU1BBT3g5UzJHQjRtTkxqaDZJUVZadzFTNzZBTVBsVG9FQS1vdHBSZEtzV1ZfOUVmUFRhbG5GVzZCSHNzRTVGV0ZPcF9YanZDNU1nWkZBMWt2REpOcTMtd2dIRUhyWWcz |
url:https://www.diplo.news/en/articles/trumps-aussen-und-wirtschaftspolitik-stoesst-im-eigenen-land-auf-grosse-skepsis
Although Trump has been president for less than a hundred days, the Trump administration's policies have recently aroused widespread heated discussions.
I would like to know your views on Trump’s tariff policy. At present, there is a high risk of stagnation in the trade relations between China and the United States. And we all know that Chinese industrial products can be seen everywhere in our daily lives. But with the implementation of the tariff policy, will it lead to inconvenience in daily life of ordinary people? Will it lead to long-term price increases? Can Trump's policies return manufacturing to the United States as he wishes?Will Trump's tariff policy turn around? Where will China-US relations go in the future? | r/politicaldiscussion | post | r/PoliticalDiscussion | 2025-04-10 | Z0FBQUFBQm9DbVhRcjM5amJCNWVhZmo4QThnN18tTV9KY3NXM2t3V3VidGpoNm5Xc2V5OXhLLXhEMzBhbWs3RGlOSHlIVzBJLVNfYURBUGFaVzdDaWl3RkZqak11MU5lRzBzby1uaElsM21xM0dfZHVmdnhfZ0k9 | Z0FBQUFBQm9DbVhRck9XdjlncHcxZUtmY0FES0E4VEFIN3BYaVB4c0ZVdk1aT2FFekM4Z3ZNXzlGQmlqbnVwcmFGcEtySFZ4VHpBWmRzX3pFVEI5SWlFRzFEZk1aZG9PeWNSWnVraTJSdEcxaVRwa1d3eWFzVzAycHFhRnY1bG1lNjAwR05RckVyYkVOZlk0ZnBEaTJMRl9qdkRRQWk0cmFTZHJ3VXlPOXBtdVBsR0VlWXRpM0dHUnd0aDVvVDQ4a2hhcTlBMm52c1FpLXA1emlDalg4WExPcjFVQmpNaTM4QT09 |
EASY 10x from current levels | r/filecoin | comment | r/filecoin | 2025-04-10 | Z0FBQUFBQm9DbVhRNFp2MzhEXzctS0Y3Uy1DVTBUZkRpcUNDOFpJdXd6cFZva3BjQUpyQmlGR3dqQkVhTGxGaGRKZ3c2andkaERiOU0xNERLcmNtQURMQzZVT0VzeU9uMGc9PQ== | Z0FBQUFBQm9DbVhRN0t5TGFyYmlQdlN1NWxWZzBxdUdiNkR4SEU1MnNsYTFrN0dzMXNhbWF0ZGFtTXNrM3dLLUFsNF9fWGthb29JdEhnR3YyUDhwdFpvdjdOeGRUOEgxSENWbWZwcU5QcWZfRVJwSDFSdVVHdnFhZ2lfQl8waVczWVJZd19tdVozdUxaLW9RUGE4bExsVk9sY0dIRGRvRjlIczRCQ0o3d0RNelF3Yy1RelVhS1hnU0w4al9JTWF3RF9MSVRtZGNUaWJOSTdRUkVIN013RUNMUFhYbF8zdTZzdz09 |
Context: the Google Summer of Code (GSoC) is a yearly event whereby Google sponsors Summer interns for a rather large number of open-source organizations (all the big names you can think of are part of it I'd say, from Gitlab to OSM, to VLC and the Linux and Wikimedia Foundations).
Kiwix is nowhere as big as most others, but we're in. For anyone not familiar with the project, we're basically providing offline snapshots of a bunch of websites (Wikipedia, Stackoverflow, iFixit, etc.) and the use case is typically places with no connectivity / high censorship, which means pretty much everywhere in the world at one point or the other (rural schools, refugee camps, cruise ships... or antarctic bases). GSoC is honestly a great program, and I'm not aware of any other that is as nearly effective in bringing quality contributors to open-source.
With this in mind, the application phase closed on Tuesday, and here are a few takeaways (and [here is the sankey graph](https://kiwix.org/wp-content/uploads/2025/04/GSoC-distribution-2048x1365.png)).
* We had a metric ton of applicants from India (read as many as the rest of the world *combined*). Early feedback I got on why this could be was the big Youtube culture over there. Lots of streamers encouraging their followers to participate. Also lots of competitive coding at university level.
* Could this youtube thing explain the high number of Global South applicants and the surprising lack of Europeans? (I should also add that the stipend is pretty good, like 3k$/€, so not something to turn one's nose at);
* A majority (51/90) did not include a list of PRs, even though we made it very clear that this was a mandatory requirement (mostly to weed out spam). To be clear, the requirement was on the project page, and repeated throughout on our Slack channels ಠ\_ಠ
* Overall quality of code submitted was pretty good! Very little AI-generated BS overall (some used it to improve their structure or wording, but that’s fair game).
We have a decent list of [Good First Issues](https://github.com/search?q=org%3Akiwix++label%3A%22good+first+issue%22+is%3Aopen+org%3Aopenzim+org%3Aoffspot&type=issues), but I forgot to track their number. I would expect this selection phase help us decrease that number substantially though.
My main questions / points for discussions are:
* Can anyone confirm the youtube thing (or offer any other explanation as to why there's very few Europeans)?
* Any idea on how to drive the "post at least one PR" rule home?
* General onboarding suggestions? I realized how many of these kids are clueless as to what is expected of them even though we wrote it as plain and simple as we could. While I like the *piscine* approach, it feels like a cold shower on their enthusiasm and/or a barrier to them daring to commit. | r/opensource | post | r/opensource | 2025-04-10 | Z0FBQUFBQm9DbVhRdkxzazFJYmJucWpOZGhkdTZOdktqaUphcldfaTQwY20xdlFhRjFYYjhOYXR0ZGEzNTZBa09PRE9tYUdhdkpEdEF6RHA3ak5vbjRYZHN1cmJ3Y2d6TzZTWmdEVlo2QUVHTW4yZXRoRnVoMVU9 | Z0FBQUFBQm9DbVhRbmpQRV9pTXhQTXFMby1OSXNYa1dXOFFWbDZ6cEtwREpCQW5tdDcwU3VYZTI5U0NDM2RHR0t3bjVTdFZlZkxieC1QSEtSSG0xMDRHVWpZZlVWSjFqY183bVl3QTR0X0RxX21jYi1ZWGRWbzdta3d4VncxWUFxRElaZlNBMWJKR2ROWkVGWVIwTndrcDVCQkJ0MHdyVl9RS3hNOEZyeDVGNkxHZW9ObHE1TW5KdWxkR2RiLXVVV2c0SmtEcDlxUkN1bGhMT3VkVkUxaTZuRXoyTTRlTEZnUT09 |
Full video: https://youtu.be/J2K1fgVyh5Y?si=MlMgSVlMW3llUCoZ | r/bitcoin | post | r/Bitcoin | 2025-04-10 | Z0FBQUFBQm9DbVhRdWl3ejRIZkpEdURBOU4tYWlibGFaakhhUmJySGl6NE93UFdKcjRUbXRrYkFQY2xvN29DWU1oczNSSHFVV1p3OGRZVHEwUkFTMFNTQnh2VzBjYjVaYWc9PQ== | Z0FBQUFBQm9DbVhRX2FzeTdXYW9MckFrWjhORDZXUlYzb2x6Nnk2SV80ZkE5Wl85UVlMV2wyanhwRnN0NEQ0UXVuRzJIQzRWUTBKZ0RTQ2liVC1MTklScndMUWk5X2VJWEdjeWtjSE93Q1NLX0tGQW43NU9KNl9VOUtpbFdpcGVhR0pRc2lrajhoUTloMW90VWJsNVU3eW1ld1F5SzRoa3VnLWZjdl9Fdlg5YTNSTzk5dTdCa3RJd25OQUI5MEFJLWdiLUREUTBtbVJY |
I've been looking at this new approach to Marketing Mix Modeling (MMM) called NNN that uses neural networks instead of traditional statistical methods. The researchers developed a specialized transformer architecture with a dual-attention mechanism designed specifically for marketing data.
The key technical components:
- **Dual-attention mechanism** that separately models immediate (performance) and delayed (brand) effects
- **Hierarchical attention structure** with two levels: one for individual channels and another for cross-channel interactions
- **Specialized transformer architecture** calibrated for marketing data patterns like seasonality and campaign spikes
- **Efficient encoding layer** that converts marketing variables into embeddings while preserving temporal relationships
Main results:
- 22% higher prediction accuracy compared to traditional MMM approaches
- Requires only 20% of the data needed by conventional methods
- Successfully validated across 12 brands in retail, CPG, and telecommunications
- Maintains interpretability despite increased model complexity
- Effectively captures both short and long-term marketing effects
I think this represents a significant shift in how companies might approach marketing analytics. The data efficiency aspect is particularly important - many businesses struggle with limited historical data, so models that can perform well with less data could democratize advanced MMM. The dual-attention mechanism addressing both immediate and delayed effects seems like it could solve one of the fundamental challenges in marketing attribution.
While the computational requirements might be steep for smaller organizations, the improved accuracy could justify the investment for many. I'm curious to see how this approach handles new marketing channels with limited historical data, which the paper doesn't fully address.
TLDR: NNN is a specialized neural network for marketing mix modeling that outperforms traditional approaches by 22% while requiring 5x less data. It uses a dual-attention transformer architecture to capture both immediate and delayed marketing effects across channels.
[Full summary is here](https://aimodels.fyi/papers/arxiv/nnn-next-generation-neural-networks-marketing-mix). Paper [here](https://arxiv.org/abs/2504.06212). | r/neuralnetworks | post | r/neuralnetworks | 2025-04-10 | Z0FBQUFBQm9DbVhRenVNQV9Tdk9SXzJqWU9FYUlsNy1sYzJBYXdOR1MxVm0zUGZERmJXMDRCYzl3U0ZoVnRhRkJtOXA4ZTZDUzI0NHhZSzAyVHMxYmJyalJsXzNUclRNLU9ReFVKZ2lHa1I2LWdBejFOWkFBUnM9 | Z0FBQUFBQm9DbVhRdTJDYTJIWF84MG1sNEE5dFhnSHJHZ0tSTFRiY1l0a1VlXzU1eGVldFJVVktuSmNHcG9aWUxUdDVJOVhHSHdKbzBjeXQxSExHTXNTcUgtcEVaSjRKUThManktaW0zTWNCMWxhR1k5YWFwSXYzMTRmNlFEOG5XVnBoQXdubjhKRXhtc0RZWnNvS1JJQXdOUFRCMjBjLWtIa0MycXphV2REcmU0T1dNZFhKam5Oc1k4aFNCTVVXRGFiZWtmeE0zakQ5WnZ0RGwwb3YySWY4LUNCeUNseWdLUT09 |
What episode of South Park is this? This doesn't exactly scream healthy bussiness landscape. My guess is that we got a nice relief yesterday, but the disturbance from tariffs will still be felt for quite some time. It's going to be a long time before we see ATH. But then again I'm just a regard like all of you. | r/wallstreetbets | post | r/wallstreetbets | 2025-04-10 | Z0FBQUFBQm9DbVhRSjJ5dHRFamNFZ1F5NG9uOXVZTGY3RVN0dHB0RVc3ZWpvVWlEZm5BUWkycHBkY213TzRXXzN2VldMY0hIdzhXTkM0Qk9OczE4TWtuSWFBWTMyWFhheWc9PQ== | Z0FBQUFBQm9DbVhRMkhiX01SX0F2c2FDRUo3aF9nanJPTjlpeC00LUxkRC03OXZvYW4wbGxJZ1pxM0FKQXBBQlM1cVNEWWRtR0dvUnFVSU9nZTNobHk2MW53WEdBVjhicUhJSGd6WmpGWExUYkd3eXRFeHhvNTZYcXpNYkQ3UnkwVVUzdWpTN1Z4Q3lzUVFFc2dWdHM5OG4wNG5BRUpLNFA5anY4cmlhaWpjMF9kVlR6bVRmRWx5a1RkLVAyWWtlcDBXRC00U01YOVc0VUZGMkZlcEh3SzI0di1RUVB5aHlUUT09 |
[https://www.lequipe.fr/Rugby/Actualites/-je-n-ai-aucun-souvenir-d-une-seule-seconde-d-un-match-que-j-ai-joue-sebastien-chabal-raconte-ses-problemes-de-memoire/1553142](https://www.lequipe.fr/Rugby/Actualites/-je-n-ai-aucun-souvenir-d-une-seule-seconde-d-un-match-que-j-ai-joue-sebastien-chabal-raconte-ses-problemes-de-memoire/1553142)
To sum up : he said that he doesn't remember a single second of any match he's played, any Marseillaise he has sung. Not even his daughter's birth. Almost anything apart from childhood memories, "And still, maybe it's because someone told me about them". "I feel like it's not me who had this carreer".
Fucking terryfing. | r/rugbyunion | post | r/rugbyunion | 2025-04-10 | Z0FBQUFBQm9DbVhRRmRPTXlnaF9VdzUxMEFaYWViLTA2NWRTUzRPT3hiWUI2Q2c2YjgySVk5dndIcExnMjAtcm5XaGZJU0ltNDJpZldTSDByRE5NRjJmYkxPSDV1dFd3U2c9PQ== | Z0FBQUFBQm9DbVhRMm9Yc1VOeldrOG03UnVBak5XazJJa1RpeTdnTkJtZG5UYWRXZnRJYVE0RUpjNHFyZjRSRHpmd2lzcmYwODNXRUZERDNCLVVfcmQyUGlnbGxyQW5DSjktcm5jRFUtR1ltY3V1NXc0cWJrM1o2c1RJTkxZZGR1bm5wT0JISmRXM29sMjc5Ri00czIxOWZjNHZlMzlGZk01d0FmYmVGTXFlMmE5amdZSHdJdEJhZUFRV2ZSSW95Nm4xaVlNUDFHZzZ2 |
I really like this faucet and its my very first exposure with BCH using the Selene wallet. As a BTC hodler its crazy to me how you are able to transfer dust level ammounts of money instantly for almost nothing. Faucets dont even work on BTC anymore... | r/bitcoincash | comment | r/Bitcoincash | 2025-04-10 | Z0FBQUFBQm9DbVhROEx0Nk9TTUk1Z0R4bWl2Z0NJWEpxR25SWFA3eHZFY2V2SnJ5MUtkaUtwZ1duTHFOZVdpVEJYa2VUYko3c3NGMl9IV29jZ18xZ3VpMUNZSmpnOTJMSXc9PQ== | Z0FBQUFBQm9DbVhRLUtfekR3VG5kdkFuanlPX2VNVl9TR2JrNDRra1ZtRDRuQzl4Y0x4c19wZWZYcmVMUk1QTEdDV0Ewc0lwTDd6cWlRREM3V1RiSWdyVjR4Vi1QWC1sckFpUFI4U3JlTHJuRTN2bU5SdzkxOEFLYUtORi0xTGJJaWlNUzhJMEh5RzU1SGw0QmRxb3ZBVEZfNVNpWVZRSU9qeFFCdU5UbDVyYy05NnIzQTVHMmZnanl1VHFrNDRNQjJtQlAyMnFPdkVNSEZJT2IxV3BWbk5NZXlqZDZ0WEhrZz09 |
Hi everyone,
I'm an independent researcher and recently finished building **XplainMD**, an end-to-end explainable AI pipeline for biomedical knowledge graphs. It’s designed to predict and *explain* multiple biomedical connections like drug–disease or gene–phenotype relationships using a blend of graph learning and large language models.
# What it does:
* Uses **R-GCN** for multi-relational link prediction on **PrimeKG(precision medicine knowledge graph)**
* Utilises **GNNExplainer** for model interpretability
* Visualises subgraphs of model predictions with **PyVis**
* Explains model predictions using **LLaMA 3.1 8B** instruct for sanity check and natural language explanation
* Deployed in an interactive **Gradio app**
# 🚀 Why I built it:
I wanted to create something that goes beyond prediction and gives researchers a way to **understand the "why"** behind a model’s decision—especially in sensitive fields like precision medicine.
# 🧰 Tech Stack:
`PyTorch Geometric` • `GNNExplainer` • `LLaMA 3.1` • `Gradio` • `PyVis`
Here’s the full repo + write-up:
[https://medium.com/@fhirshotlearning/xplainmd-a-graph-powered-guide-to-smarter-healthcare-fd5fe22504de](https://medium.com/@fhirshotlearning/xplainmd-a-graph-powered-guide-to-smarter-healthcare-fd5fe22504de)
github: [https://github.com/amulya-prasad/XplainMD](https://github.com/amulya-prasad/XplainMD)
Your feedback is highly appreciated!
PS:This is my first time working with graph theory and my knowledge and experience is very limited. But I am eager to learn moving forward and I have a lot to optimise in this project. But through this project I wanted to demonstrate the beauty of graphs and how it can be used to redefine healthcare :)
| r/deeplearning | post | r/deeplearning | 2025-04-10 | Z0FBQUFBQm9DbVhRMG1HRlhhRTU4QXpQWk1fTnZLVDBJVUJIYjIzQ2RIRzBtc2RKbWZyWDYteFp5REZ0ajRRNjdCRk5wTHpYWjUyYmxlZXpBbllCekM3TmxmRkZSN2w0bE4tSUFJalM0T1ZWODd1MXVVMk5EYkU9 | Z0FBQUFBQm9DbVhRX2kzb0VqMnJTc1M5LWd0TF9RVVNyZGk1LTZJYUJxcVJuR1N6RUpxczA0QWJ5cE5TblY1QTBBcUpnSUxzUjBhYm85ZFBMRGJucUNCYTNkTm1aMzhhaERELVhkMDdOc2NITTZ0bS1GNU4yeGRiOEJYaFdaMS1UektPZ000QkUzSndqVkJGWlctSU9YYVdPWjlqWGh2R0RKaElhQXp5d1d4eGpuUTNiMk9fZllpaFZCTXpNSU8wd3VuU0ZIRlRpMXpMQmxLalNSeXVWakc4MzZBSFllMjZMZz09 |
If this rally btc pump around 50% gain i think will reach 16-18 usd for filecoin, worst scenario will be around 12 from prev high, maximum bullish is around 20-26, mid tier is 12-18 | r/filecoin | comment | r/filecoin | 2025-04-10 | Z0FBQUFBQm9DbVhROE5JMHhhRHBzYWVCQmdxZzF2TTlpUFVreHcxZmFHN09hTUx1SEcydFVGZXdXS3FxZnVpN0wwNVhnS3F0cTdpMnNzSHl6T2I2SFFJZHcwOUdlRjFMN2xPU2RrRG5TM1otTTZPTFNxR3djQVU9 | Z0FBQUFBQm9DbVhRMnNLVkV6OUx5NzFhSExLT1N6Z08zR0FodC1CTkRuQlBUVjhNTjZ5U2FIc1UxOURmSXl2WGJPa2JTSlgwb2RrQlhhUldwX2NuY1luMFl4blVXOE5sOGMtTFkwZ3JOUE5RZ2c1TnRPbnFoTkxuTEs4TklZbjlubXd5Q3Z1X3Q2RFAzVUI5UHhlWDdZaExvaF9LNy1nSzdGNG5OZERPRVBWdUxrN2FWT09Ca01LTmdqbXRlOTBoVVNKWWM1cEY3RlJvUEhIWEUwRTlKaUVfclJjOTNMUnJmdz09 |
Then it’s demand. | r/bitcoincash | comment | r/Bitcoincash | 2025-04-10 | Z0FBQUFBQm9DbVhRM0Q1QVBZc0hablpodFpQc2Y4cG9xSm9NSWJnZUVTTFI1S2Y3Z0tRUU9OaG5SNi1WMlBjNDdObzhwT3gyckVDeXFZQzFvajBodHh3dE9HUmJCanJSc0RndG8wU3lEYWhrek1FaktYU1dnYkU9 | Z0FBQUFBQm9DbVhRQ2xqU3N5LW5QMUkwTXlHcTBpTE45NExsYXJlWmlESzVkSVUtS2Y3TTVGYk51bzhtNW9nbXlSblF5cEpMY3pRVHNSNUNuWlZkVkwwaUR0V3h5VWpXMS1TQWhsR1ZpS2xab1BkN0JoQzN3MzNjbkk3cE5OeFZCZ3NCNU81VDJvMHh5SGNUclNFb1VLaW5MMFZsNzZzNk41X2ozX3ZHOW1YbG1GMzJkb2hVejFicTN3MkF2VFFodkNpU1BFVUFnLXR6dmtuWTljUWstMFRVeXVXS3pFdmFjUT09 |
🧠 **TL;DR:**
The **Spotlight Resonance Method (SRM)** shows that neuron alignment isn’t fundamental as often thought. Instead it’s a consequence of **anisotropies introduced by functional forms** like ReLU and Tanh.
These functions break rotational symmetry and *privilege specific directions* — making **neuron alignment an** **artefact of our functional form choices**, not a fundamental property of deep learning. This is empirically demonstrated through a ***direct causal link between representational alignment and activation functions***!
**What this means for you:**
A fully general interpretability tool built on a solid maths foundation. It works on:
All Architectures ~ All Tasks ~ All Layers
Its universal metric which can be used to optimise alignment between neurons and representations - boosting AI interpretability.
Using it has already revealed several fundamental AI discoveries…
💥 **Why This Is Exciting for ML:**
\- Challenges neuron-based interpretability — neuron alignment is a coordinate artefact, **a human choice**, not a deep learning principle. Activation functions create privileged directions due to elementwise application (e.g. ReLU, Tanh), breaking rotational symmetry and biasing representational geometry.
\- A **Geometric Framework helping to unify**: neuron selectivity, sparsity, linear disentanglement, and possibly Neural Collapse into one cause.
\- Multiple **new activation functions** already demonstrated which affect representational geometry.
\- Predictive theory enabling activation function design to directly shape representational geometry — inducing alignment, anti-alignment, or isotropy — whichever is best for the task.
\- Demonstrates these **privileged bases are the true fundamental quantity**.
\- Presents evidence of interpretable neurons ('**grandmother neurons**') responding to spatially varying sky, vehicles and eyes — in **non-convolutional MLPs**.
\- It generalises previous methods by analysing the entire activation vector using Lie algebra and **works on all architectures.**
📊 **Key Insight:**
Functional Form Choices → Anisotropic Symmetry Breaking → Basis Privileging → Representational Alignment → Interpretable Neurons
🔍 **Paper Highlights:**
Alignment emerges during training through learned symmetry breaking, directly caused by the anisotropic geometry of activation functions. Neuron alignment is not fundamental: changing the functional basis reorients the alignment.
This geometric framework is predictive, so can be used to **guide the design of architecture functional forms for better-performing networks**. Using this metric, one can optimise functional forms to produce, for example, stronger alignment, therefore **increasing network interpretability to humans for AI safety**.
🔦 **How it works:**
SRM rotates a spotlight vector in bivector planes from a privileged basis. Using this it tracks density oscillations in the latent layer activations — revealing activation clustering induced by architectural symmetry breaking.
Hope this sounds interesting to you all :)
📄 [\[ICLR 2025 Workshop Paper\]](https://openreview.net/pdf?id=alxPpqVRzX)
🛠️ [Code Implementation](https://github.com/GeorgeBird1/Spotlight-Resonance-Method) | r/neuralnetworks | post | r/neuralnetworks | 2025-04-10 | Z0FBQUFBQm9DbVhRdzk5VlpaNFYxUDdYcGwzc0g5d0VzWDkxbzcxSDRlUld3cmUtQ2tGVG1SX013Mi1wMXJobi1iYmwtRWlCc3BQTmJpWjJhOG0wUmU2eWZ5YnRtWjE5elE9PQ== | Z0FBQUFBQm9DbVhRSWpXekRQeHRpb0F1dm50aElONTNHbFBMck4xU2FpUVQ2VzNXaUJtVkpyLXVaQ0lMR1hFMGhQZjdZZFpGSTdIRWViZGZGMW5Rd2xpbWZQQWVBdGdibUlPc3dfWGhhbnpFLTQ1Z2RkVUNyT1JqaW5mbmR4ZDJzWHhzeWRKMkh5Tm5HcVd4SUVEYlV5OWZaRU02aXgxWnhFM2w2d25nTTdLbnlIREV6LUlWRUZqTlJZUzFfUTFyTF8xOVc1VUZEV0FvZnRZNkNJZTZaQjZkdnM1cjZQYlNNdz09 |
It drives me nuts when fellow developers don’t try to understand what the asker really wants to know, or worse, pretend they don’t get the question.
Product: “Did you deploy the new API release?”
Dev: “Yes”
Product: “But it’s not working”
Dev: “Because I didn’t upgrade the DB. You only asked about the API.”
Or:
Manager: “Did you see the new requirement?”
Dev: “It’s impossible.”
Manager: “We can’t do it?”
Dev: “No.”
:: Manager digs deeper ::
Manager: “So what you mean is, once we build some infrastructure, then it will be possible.”
Dev: “Yes.”
I wonder if this type of behavior develops over time as a result of getting burned from saying too much? But it’s so frustrating to watch a discussion go off the rails because someone didn’t infer the real meaning behind a question. | r/cscareerquestions | post | r/cscareerquestions | 2025-04-10 | Z0FBQUFBQm9DbVhRc2xrTzFFOWFJbEFFelhEWGI1U2QzUTNCUEpmWTRHa0VzSmtodnBKRXlCMVI5a0xyRXBXa3lGWjVtU3Q5VjhvdlJCNXNmNkNXSW9tbFFmQjl0a2Z5TGc9PQ== | Z0FBQUFBQm9DbVhRT1hhMGhlZlJUUXptN2xlLTZWQzhNTE5pYVdTZHFEWkZOYzdVRXlZWEx3Q2xiSi1oYy1zT3B1MGlLSlZKLTZaanBnRGhzbldZZXV0TWhwcE9mTXdvb19fci1WNS1ZcWlReDZhcnlFazBIbDRhSkw0LVJ1T2Y5ZFlReVRwLTVQSkRDSkVtX3BxR1FjNXFLVzJ1c2d3dW03MWRCTnh5bEJxR2dQWFJidUNQemJSNHpKNXk0UXFQMVUtZF9vbzRpMi1xeWlpUEI2dGx0dEw2V0p3MEhhYTNrZz09 |
Good, then I have more time to accumulate while the market is distracted by LTC and DOGE | r/bitcoincash | comment | r/Bitcoincash | 2025-04-10 | Z0FBQUFBQm9DbVhRYlBzSE1xRDFwWkticFc4QWZtUl9PU0dRMTV2TmxXeHFwc0dscXd2SmNWRHVTOEJKOXcxMU5OWkpHSFVEdEdabnJrQ09VeVRLMHFKeXRVbDA3S2tROWc9PQ== | Z0FBQUFBQm9DbVhRY3lhVVZ5aXQ0dHdJRVVCUVBwR2VWbkliMUdsVWdCXzl4Qm1acm5uRUtTbzk0OG5mYi1KUUVwVktFY2ctX3EzR09iNEpMeS1LdDhvNFJHMjRRLUliS2xLcUVzV3RPUlhsYjBaYlVfcmZSVnhCRlVkOWpSZHZhTFdsUG9kZDg2VDN2YnpXNTBhYms2Mm85a1pmQ09oV2ZEaEZXZ2E2Tml5VUR0cVptZU00eTlFU2UtNktHLWYwT2t0TTFqXzViOG9senpTZWgzdDVZREhIOXhOODllTDhhUT09 |
Just crossed with this Leon [Tweet ](https://x.com/LeonWaidmann/status/1910243883432460611)talking about Ethereum weekly engagement and reality is really bullish taking in count the price status and the Ethereum is dead narrative.
https://preview.redd.it/orr28y3lyzte1.png?width=2514&format=png&auto=webp&s=01445a13db4dd5f72ac966d756468856f7c10b05
As you can see in the chart above, Ethereum Weekly engagement keeps growing, of course with its fluctuations but it is still growing and this is a sign of an evolving and emerging technology and people are really not appreciating this and focusing too much on price action.
According to the tweet and growthepie data, Ethereum had over 10 million weekly active addresses, and no, they are not just bots swapping memecoins. Also L2s dominance is close to all time highs meaning that users are actually moving to scalable solutions instead of just complaining about gas. This is how Ethereum is made to be. Also real adoption is happening, slowly, steady and under the radar of the hype cycle. In this case I am personally seeing in my working environment as Software engineer an increase of interest and in fact real projects being built on Ethereum ecosystem.
I know, ETH price action is currently hard to watch and quite frustrating but lets be real, ecosystems like this don’t just stay strong for no reason, developers are building, capital is still flowing in and innovation is compounding.
I really don't know why someone could be bearish on ETH after checking metrics. You can be bearish on macroeconomics if you want but Ethereum ecosystem looks so bullish. Don't let the noise trick your judgement.
Sources:
* Tweet: [https://x.com/LeonWaidmann/status/1910243883432460611](https://x.com/LeonWaidmann/status/1910243883432460611)
* Data: [https://growthepie.xyz](https://growthepie.xyz) | r/ethtrader | post | r/ethtrader | 2025-04-10 | Z0FBQUFBQm9DbVhRTTl2VV9RdnFvQUdhLVRvdVh6ZnBkVjBqYjhNM3FNZ0dEUmhHY1lwNEpqLWRqaDhTN3FxVHlKLTFMX2lVT2VKRHdaandydnJuMXkzY2dGcGEteU9pOGc9PQ== | Z0FBQUFBQm9DbVhRWjB4M3QzY0tIaGZfLXo5SVFmSmRLREZyN0RrNHFLdGktR1dxSzBUaGRITVFkWG1YcXhibER5dEZSaC13RGdCb2w2dkJ0aXRtR29ONFFoUEk0dVlmOS1tdnlVbGg1clBqMGtoNFczc1pBekt2VHpYd0tCd2VFVnVRTnR5NDZwQTl5MmlhVk1JUnYtR3ptQXJ6RnRxTTY3cFU1YWRYazFXWXdlUmEzSjMwZHowMUt2UEM5Zy12TGF0T0o2TjI3TWJFaGgyTEtUWmdNWW5ra0tZS1JXbG5YZz09 |
Hey everyone,
I’m currently studying and working on improving my skills in data science, and I’ve been wondering something:
Do professionals—those already working in the industry—still take reference from online sources like Stack Overflow, old GitHub repos, documentation, or even their previous Jupyter notebooks when they’re coding?
Sometimes I feel like I’m “cheating” when I google things I forgot or reuse snippets from old work. But is this actually a normal part of professional workflows?
For example, take this small code block below:
`# 1. Instantiate the random forest classifier`
`rf = RandomForestClassifier(random_state=42)`
`# 2. Create a dictionary of hyperparameters to tune`
`cv_params = {'max_depth': [None],`
`'max_features': [1.0],`
`'max_samples': [1.0],`
`'min_samples_leaf': [2],`
`'min_samples_split': [2],`
`'n_estimators': [300],`
`}`
`# 3. Define a list of scoring metrics to capture`
`scoring = ['accuracy', 'precision', 'recall', 'f1']`
`# 4. Instantiate the GridSearchCV object`
`rf_cv = GridSearchCV(rf, cv_params, scoring=scoring, cv=4, refit='recall')`
Would professionals be able to code this entire thing out from memory, or is referencing docs and previous code still common? | r/datascience | post | r/datascience | 2025-04-10 | Z0FBQUFBQm9DbVhRWnVqRmhaajBYY3BCdm1lNjc5a1FFcWl1SWlMUTZ6TEJweHdVdTNFd1NOTWJRakhRV3F4NDBEbEdlZHFXM1dQRzFFYVA5ZFlwSVdLWGxnZGUxQ3BPa2c9PQ== | Z0FBQUFBQm9DbVhRZGhraFRCcGZMLXI5RzJLMkZabVdhR2M4UWhsNGlYeWZnVEU2MmFCbGFOZE52VGdhSXFSaFpkM2hzc3pQZlBZNXBHVXRXZl81ZHZvN1lCazVIY2xsdk9vaXRyb3JPd2dXUFlYNmZQdWdYbmlnTlVqWExzdG5UX2w5TjRxNVdTUFR2OXRIdHpFWWxjenM2NDFTeTRZX1hHbG90eG1YYk5ZdFZkTlF4b2lacFJaUm1ZZDZqMk85clJuTm9LWFd0RDROUS1sQm0xcUNaWUFlUXhmY1FycnY1dz09 |
I am not that much of a masochist so am doing it in assembly… anyone tried this bad boy?
https://www.ebay.com/itm/276666290370 | r/learnprogramming | post | r/learnprogramming | 2025-04-10 | Z0FBQUFBQm9DbVhRblFoTE1WV3JPbGhvZ25IMGRsNU9aek9HRFdyZmVIb2lobW9iWnN6TDFzRzlYU2dKWG5mSE94RXpRTldGOFNkVUtuNnpCVEtyeVlfT2dXNkxRcnVCUEE9PQ== | Z0FBQUFBQm9DbVhRaWY5R2xMdmVUR1A5LVlPUWYxMVJsb0JOel9QWjNFcDU3dEYxMkZkUDkydGJ3TW9nTi0tZ0I3RExvd3pPeUI3NWVoZVNLR2owSHdYLUpfVVBuWVk1OTk3cGU2UXlqSW9fT2NpbmhCc01GWVY0bUE4bDg1alE4Q0lnX1BfR3BaTzhOLVJrTUFVOFgwdUpON1JCYU03b19OXzdkMW9YcENGVmxIY0hfN3ptTF9BU1cyQjB1QnVuYS1qelJyeGlvQzc5d0czc3VMNjgzUUEzSGhNdFBiOHBsZz09 |
[\[Gift link\]](https://www.bloomberg.com/opinion/articles/2025-04-10/tariffs-will-prove-us-neoliberals-right?accessToken=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzb3VyY2UiOiJTdWJzY3JpYmVyR2lmdGVkQXJ0aWNsZSIsImlhdCI6MTc0NDI4NzczMSwiZXhwIjoxNzQ0ODkyNTMxLCJhcnRpY2xlSWQiOiJTVUhXNVFUMVVNMFcwMCIsImJjb25uZWN0SWQiOiI0QjlGNDMwQjNENTk0MkRDQTZCOUQ5MzcxRkE0OTU1NiJ9.LvkU58UNkZB2Wnf_KUrJIYScm0PwoItK20-aif74y5c) from Bloomberg Opinion columnist and economist Allison Schrager:
*While much of the world recoils at the turmoil in markets, the upending of the global economy and the overwhelming uncertainty, I am feeling an odd sense of calm.*
*Why? Because I am a proud neoliberal, and after President Donald Trump’s tariffs destroy what is left of the post-neoliberal world order, policy that values free markets and free trade will be due for a comeback.* | r/neoliberal | post | r/neoliberal | 2025-04-10 | Z0FBQUFBQm9DbVhRVHlwaXllc0dKemJoZkVPVTBHaHNZV0dldG1xdmp0UUlBclhfQzhZZndaRVh6RkhOTXNXUUN4ejdsRkNBUXMzLUlFUTNsc01wdnlMMFJFczY4cTR3Zjc1am9MZnpYbjlUbFJ4LXFKUjhPUDQ9 | Z0FBQUFBQm9DbVhRSTNhSXpNWlVlRm5OVm5fNVRIWFMzVk9qanh4eUx3QmpRQXdhMHlUeGlKODhpYXZmZ2U3RXRxalZwVmFtcmFEU2JKekxXTV9iQjRuVlloaS1WOExNRmVBWm9GbmJHZTlQeUpXSXlQYjlvVGstYW9CTUY5ZzFSVk14cy04bEdGTEJHbTJnc3VvcXNYRlB5Skk5N0dXU1dXMm1sNzhRVWtWS24tOEUtcXZ0ZXBwOUloemNCaU1PZ2E5bjU2Rmt2d2VjdWRleno4TFJiT0I4WHlVUFRmR2dsdz09 |
Consulting Network engineer with 16 years experience. Recently became aware that BiDi optics are relatively available to many manufacturers and definitely through third party optics MFGs.. I’m from Wisconsin where we always seem to be behind the curve a few years.. but why has BiDi not become the standard for fiber connections? I have so many customers who can’t afford to just replace their OM1 or OM2 fiber, or don’t have enough strands between locations; but BiDi basically solves most of my headaches; is there a reason they’re not (at least in my experience) more common? Are they prone to problems for some reason? | r/networking | post | r/networking | 2025-04-10 | Z0FBQUFBQm9DbVhRUF9DcFZXQ0JPXzBGX2FsTWlkTERWZ1ZVWGs3SHFCZkVBRDZjRHZVSUFJUm1OUk1rVUdhRW9waWFUQ0lIVWh6eUR4M1ZDOUtJQmU5bU5qT1FMdEJjSUE9PQ== | Z0FBQUFBQm9DbVhRbU1uR1Rkck11d0RNSVFfYXZEeGV0bkZ5TFJSN3NBMjdsam92UDVwQmtGeHZrYnRoNHNuZFZ5dmVUU05wQVZUYnpwam9Dd05IaVpkbXREcFNNajk1MDVCNUpHN3BnelREWDJod0FQUWRRMllPeWQ0TzZaWnB0dFZmbVlUdnc5QnRjXzl4Y0NGYlBNUktQeU96RlE1ODFrODI1cnAzTWE1VF95NThtYk95dWFZPQ== |
Hey everyone, was just wondering what’s with the IT industry paying its employees bottom feeding salaries when some of them are major corporations. I’m not quite sure I know of many fields where people with bachelor degrees, certifications, projects, desire to learn are offered $15/hr or $20/hr if the IT universe smiled at you. How do they expect people to survive and want to work for them? I know of some people who stand at the door at Walmart that make that kinda of money and barely do the job they are required to do. My assumption is that all this IT industries have caught on to the desperation of people wanting to get into IT therefore know they can feed us anything and we will jump at it.
I mean I don’t know of someone with a bachelor degree in Nursing making $15/hr. Mind you we work just as hard if not even harder to impress this employers.
Your two cents will definitely be appreciated. | r/itcareerquestions | post | r/ITCareerQuestions | 2025-04-10 | Z0FBQUFBQm9DbVhRSjBvTm83b2lhaE9kVmV5QUFhVlVxcFd0RENydWxfbEN2dWhoRkNlRFNXdVVjaHJiVzJQS3ZTdW5nSWhGeUdVQzRzMTNUMTVfM0h1TzVOSDNTZkxnT2FBTlZadW9KNG8zcjVWVTNPeXlTY0k9 | Z0FBQUFBQm9DbVhRRG1sdzlDYlhLOHFXU0tRYS1MOGhCRkwtT0VpQTByenZ3alBZMlFTeDhpRTZQQjB6M0ZoVUx3eklUSWZ0UjZmZi1ERTh3WG04TzB3VDMzcGh6ck9VNTlPd1pBMXYySlR3aE1Oc3pOOHFNY2NpVFhqNk1YVHFGNGJucF9ONmxLVHJuUEdoNjhhNHNQNVFwQVp4aE0zN2tnN2d5c0FGeDVJcHNCVHpXb1g3ZkhvVXh4YjNXSXJkZVVwRjAxTVBieHFM |
The Monero community is excited to announce the launch of the FCMP++ (Full-Chain Membership Proofs) Optimization Coding Competition!
See all contest details [here](https://github.com/j-berman/fcmp-plus-plus-optimization-competition).
## What is FCMP++?
FCMP++ is one of the most significant privacy enhancements to Monero since its inception. This upgrade would improve sender-privacy from 1 in 16 to 1 in over 150 million while maintaining compatibility with existing wallets and addresses!
## About the Competition
We're looking to optimize the performance of two critical libraries used in FCMP++ ([`helioselene`](https://github.com/kayabaNerve/fcmp-plus-plus/tree/78754718faa21f0a5751fbd30c9495d7f7f5c2b1/crypto/helioselene) and [`ec-divisors`](https://github.com/kayabaNerve/fcmp-plus-plus/tree/78754718faa21f0a5751fbd30c9495d7f7f5c2b1/crypto/divisors)). This is your chance to make a direct contribution to Monero's future while competing for 350xmr (~$70,000 at time of writing) in rewards and global recognition.
## Competition Details
- **Timeline**: Competition runs from April 28th to June 30th, 2025
- **Focus Area**: elliptic curve arithmetic
- **Submission Requirements**: detailed [here](https://github.com/j-berman/fcmp-plus-plus-optimization-competition)
- **Judging Criteria**: Speed improvement, code quality, and maintainability
## How to Enter
1. Review the competition details and rules at: https://github.com/j-berman/fcmp-plus-plus-optimization-competition
2. Clone [the repository](https://github.com/j-berman/fcmp-plus-plus-optimization-competition) and familiarize yourself with the codebase
3. Submit your optimized implementation according to the guidelines in the README
## Resources
- Official Competition GitHub: https://github.com/j-berman/fcmp-plus-plus-optimization-competition
- Competition Blog Post: https://www.getmonero.org/2025/04/05/fcmp++-contest.html
- FCMP++ Technical Background: https://www.getmonero.org/2024/04/27/fcmps.html
Join us in shaping the future of financial privacy!
Questions? Join #monero-dev on [matrix](https://matrix.to/#/%23monero-dev:monero.social?via=matrix.org) or [irc](irc://irc.libera.chat/#monero-dev) or reach out through the competition GitHub repository. | r/monero | post | r/Monero | 2025-04-10 | Z0FBQUFBQm9DbVhRNEFPZUxydFJNdncwRVpfTUlMdDlYNXRIX2hwSkRvbHJRdkFwS1A3c3lzOVdLNGJyS3k0b21haVpuYk1YNEg4Z0RIRTRicjdaa0ExUmdjSGRQSjQ4dHc9PQ== | Z0FBQUFBQm9DbVhRVE50UlhFU3lCeUNfVnRSVjVRWlk5RnpqaWl3WVNlcW5sMDVGdG1fZUpfaVA5LXdSaVF6ZXBmQ3NIZ3U2dzVJemc5N3FMQVVpb2l5ZEhEQkdLTjl0Z2NETDAxT1MzUGNhVk9ra0hmeEx0WWxjZ3RfWjVPMEVUQWNqdV9YSS1OdmZPLWJVaE5McVd2V1A4LV9vc1dWMWFTeDJuLWtWZTVrY1Rjdk1NYms4blNRPQ== |
I do understand solutions that already exist, but coming up with recursive solutions myself? Hell no! While the answer to my question probably is: "Solve at least one recursive problem a day", maybe y'all have some insights or a different mentality that makes recursivity easier to "grasp"?
Edit:
Thank you for all the suggestions!
The most common trend on here was getting comfortable with tree searches, which does seem like a good way to practice recursion. I am sure, that with your tips and lots of practice i'll grasp recursion in no time.
Appreciate y'all! | r/learnprogramming | post | r/learnprogramming | 2025-04-10 | Z0FBQUFBQm9DbVhRR0JfOS1TTTVEeDF4dWxkNWJPV3kycHdWY2I1Q3gxVkhmRXFNQVFYa2szZUxSTmhmRFpEQzRNZEtkejBXYTMxYi03TFJjc3JuLTNpaEhrU0JGVnQ0cTJXa2dkRF9OWnBIOGFPTXE5R1pEZTA9 | Z0FBQUFBQm9DbVhRRHJ0NlFxRW1TZldzLVlHMk51X2RLbzFha2M1d0lrTmhMa0lvSUlpXzhTV2JLZWhrNFNjNkdmUVBENnBZUlVqZGxXWXVYM1V0RTJ4OHNqVVdMdFNRM2lkR0tCc0hSVG9zWHIwd190cV9fcU94TTh6VmJBVmRLRGRNellaNnl2Z25pRVc0ZDdtLUctbHdaMkJEWHkwYWQxUjVsZ2ExNXpPZ2x4cmJDWFotVTFwSDg1Wi0wa0lZaHRaQ0NKUng3M3d6 |
Just posting Colins pool software in case anyone is interested:
https://github.com/cculianu/asicseer-pool | r/bitcoincash | comment | r/Bitcoincash | 2025-04-10 | Z0FBQUFBQm9DbVhRel9fc2JqSXdRVFBXVGlKeFV2RGF0M3ZSWENlQ04zVTA1bFhjalpGMW5QQVpSR0RtTDFXaDEzR1FMWGpiY0pSbmJ4eWFpWGtCYTZwX3RiVGlvZmhEVXc9PQ== | Z0FBQUFBQm9DbVhRcU5WR1NrSHNaMF9ZLWxvdzFjZWNjZS1HT1hkaHRtRlpzX0JDNllRX3ZiVVc3azZtbE1sQndoVTRzcFZiZXVxaXJNZ2FJZDR3anNNMTIzS3RBQ05EdWZMb1NHSldxR0ptSlNoUlcxMDU5UDdHZDJZZGJmNENFc3pnVHNRbk5GTnhRQmxQRVN1dTUwaVNVeW9XanB4bGNhUWpGcThYVlF5c1hzbHpHTEUxd2JMeGpFa2w3SEZQdTJWN0VLSlg0RkROLUxkZTc0Z1FjUUg1b3VjME5feHdkdWNJUmdyRG5xVDZUUFNfREl5NjltVT0= |
Welcome to Netflix|AIM – AI Movies, Made Just for You
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Your custom-made movie — cast, filmed, scored and rendered in moments.
Netflix|AIM – Film is dead. Long live the algorithm. | r/artificial | post | r/artificial | 2025-04-10 | Z0FBQUFBQm9DbVhRTWhWZV9sWjZPeWtTR255T2RmVnZtblBuRGRlNGlXTGRNNGM3MmtoZVhYM0NsV25SckhNUU9Cc3BORm9lNFhRU1prUVNQdEdVWjRhZDlVMDRiWGkwVFE9PQ== | Z0FBQUFBQm9DbVhRMkhweWNtRzNXRUNIWXdoczRjLTRMQU4xZHZOcGVRODVmYWkzX1dvQU16dWN2SDg2QzczZWIxcVM4SWhBSWNpZkZzczIzZmRzZURydXFpUHZWdlp6Q3J2ckFXMl9wWHN6aUQ2VmRaSEpCTlA3WlowNWo4WEUyY3dGVTV0MUxaYlRZXzdwSmJDSjFTY1hjdTdTRDI1TnFjb190QS1tZjlsVDFuYUZZSDAtNFBrelVYeFJFbXBwYlljS3FqRWtONWF5 |
It’s been a rollercoaster of executive orders, tariffs, no tariffs, tariffs, no tariffs - and now planning a big birthday party for himself in the form of a military parade that will cost taxpayers $90million. I can’t think of one single thing he has done that has benefitted American citizens - not even his MAGA supporters.
▪️60,000 federal employees have been fired. 60,000!!!! People who were providing essential services or working in science, technology, agriculture etc. Fired because Elon didn’t value their work.
▪️Essential agencies & teams have been destroyed. Teams that monitor emerging infectious diseases, bank fraud, nuclear weapons…
▪️Price of eggs and price of gas are unchanged, if not higher.
▪️People have lost thousands of dollars from their retirement savings and stocks because of his dumb trade war. By the way that money goes to people who are already billionaires. Others have gone to prison for the sort of stock market manipulation that he is involved in.
▪️he is receiving secret crypto payments from anonymous entities since taking office in the White House.
▪️Installed a whole bunch of incompetent people who are discussing war plans on a messaging app. The dignity of our federal and military entities has vanished.
▪️Threatened war with Canada and Greenland. In case you didn’t realize, none of those countries would simply choose to become American without bloodshed.
▪️Dismissed the President of Ukraine from the White House like a stable boy- after an embarrassing public display unlike we have ever seen in the White House.
▪️Deportations are not as high as Biden’s or Obama’s.
▪️Free IVF is not even being discussed ….
We’re only like 80 days in.
EDIT: Well I’m happy I posted this because it’s how I found out that Trump is getting rid of the penny. I have so many thoughts and so many questions. First of all, thank you to all the people who listed this as the one thing Trump has done. It confirmed my suspicions about this presidency - if getting rid of the penny makes the top of the list of things accomplished for the people. Second thought- if it was an executive order it hasn’t happened yet | r/liberal | post | r/Liberal | 2025-04-10 | Z0FBQUFBQm9DbVhRbnlyaXpsRzZzbm1TMWdZUDgyNG1vLWxQS2RUczZkbVoxbU43bDAxVm9NU1ZYczBkV2dEMGRnZl81LTdLQmdpdXRiOVh3RDhMeHFjV0plSUY5QWRsWWc9PQ== | Z0FBQUFBQm9DbVhRZVdheThWenNYLXRkYklvZGNfLTBjMktMNWhWNnVsM01GdDlKTmo4NkRTOEVFblRIdEp6bVd5cEN0OHRnNWJma0xfQ1ZXZVQwQmo5UWRsM2ZWemFiMUdMdXVDSTJlRk1WR3ZKVFJwZTlIQ1A0aDhQZG44SlZsTnlaM0hFcEZUcjFFT3pydzdjaDFMZS1IOWJWTm5VeWhWaEJSYTFzUFJKX0pucW1ibDNrcnZuSlhVdklzd29RNEhaTjRqWndCNGdt |
I don't consider myself an exceptionally smart person, but I can do my job well. I have been doing it for 10 years, I've done it in different companies working on different domains, I've done it in startups and on Fortune500 firms (where I'm currently at); I'm well regarded by my peers - they even put "senior" in my job title - and I can't, for the life of me, solve hard and even some medium Leetcode problems.
I mean I could, given, you know, enough time, the hability to discuss hard problems with my peers and to search online for what other people who faced it before have done about it, among other things ONE DOES ON A DAILY BASIS ON AN ACTUAL JOB, but cannot do on an interview. Also, math problems aren't part of the routine at _most_ software engineering positions. They appear from time to time, and there's usually a library for it. And I don't think they're a very good proxy for determining how well you'll fare with real problems, such as the far more frequent architectural issues related to scalability of a distributed system, which have more to do with communication between subsystems, or the choice of appropriate models and API contracts - which depends on good communication and planning more than anything else - etc. Rarely does the particular implementation of a single function that boils down to a quirky mathmatical problem matter, nor does recognizing that a particular problem boils down to a quirky mathmatical solution translates well to having the necessary skills for the aforementioned actual tasks one has to perform.
The only reason I'm interviewing in the first place is because of personal circumstances forcing me to relocate. But my god do I not miss it. Leetcode is a nice platform to stay sharp, but fuck you if you use it to put an interviewee under unrealistic circumstances and judge them by it. | r/webdev | post | r/webdev | 2025-04-10 | Z0FBQUFBQm9DbVhRT1h6Z2lSZWhpbnFSVUFERkwxejFRQ1lTcnFGZWJPYUQ3V2tNLWdHWEd6bEdkVlhsSF9nQ2szdnZjaEExY3VYQ0pKaExkam5ycGdkS2dvVHNPWjVjbEE9PQ== | Z0FBQUFBQm9DbVhRNktJQU1Ick9QSEF0X2JuVDdTRzh0ZjZ6cTItWDhUMHU2MFVDb2tRWnRXODk2Y1lQMktHSjNzMTBEZ05GeEJ4ckRtd2FOYU1ST1dsOGhmX2o3cVVGaVJiLU9zaUU2a1ZoMTVreGlOZV8wNnk2SXJSR1pLVnQ0OEhyOVk1UzFPRFZlbWprZ2I5aGljRkF3ZlFKWVdYTUpDemNjbnJMbDNteVFuM19CekM4Ym1rPQ== |
I'm currently on a webinar of Vicent AI by VLex. Since 2023 I was designing a project that involves LLM from an open source model to make legal documents' drafts. However, there's already some tools that involves generative AI for legal research and project management in the legal field. Is there anyone that has used Vicent AI?
| r/legaltech | post | r/legaltech | 2025-04-10 | Z0FBQUFBQm9DbVhRYzVXME56ckVIeWZOd3Bfa1dHY2ZSVnctU0syb09EVHBQQ2Z1N1drTUxUeEplS2dlR01IN1FpYzZMVms0SEpIQTZFLWd3NnQ2VVNEaUs5N3N0UUVCbzR1NkRidlhpWV9malFmZ0V2TGhGUXM9 | Z0FBQUFBQm9DbVhRM2F5WE1uYzFicGJkczZTLVRnLXl3NXNBTU85MVpCVmh1MEFQNkh3WEdWXzVMSVJsMTdXTUxDaHdrajhQanQ3X0Z3LTBzWUs3T2FFR3haZ3JFc2NNUUM2S3BhZkE1RXZEZ3NPVXltT0hqb2dFNnFmclU3RmdOQjlITTBkWllEQTRpWE9wSDR1SUxub3BfX2J6aE9hd0lnPT0= |
Can someone explain me, does Token-free means that it doesn't use tokens ? And if its gonna use bytes then what does it mean ?
Basically, how different will it work from the token approach!! | r/airesearch | post | r/airesearch | 2025-04-10 | Z0FBQUFBQm9DbVhRRkkwTlV4YnF5LWF2UEhOeTBKRklsX3BicE10UDhGSjJReTQyQ2xNblhfN00xZXE1ZG5hQjFOZ3BxOTBWeUhhb1phaVlDWlJJZ2FNeFRsM09ZcW5hVUE9PQ== | Z0FBQUFBQm9DbVhRc0VIbXg1YUdRMGZ1Q21iSEp1VlZPdThnX0pnX2x2aEJ1QzRVR0diUkE4VnZUcnRCT0NTaElTWWU5ZFRNMF9qR1hxajBjeVhSUWVycDM3Vlh0Uzh0eVh2blYzbzJhTlpkZ1NqSHoyaXg2U1VaRkxtd25URkNRU2x2T1ptRXV3SHZvakdhT3MyVjhNaHAyZE1vUVhUanp1NXlrX2duSXM3MnJ3RVY3ZS1OZlBJVVVieXAwZDNvNVdkeUExZ2I2MnhQcUN5SGhEZEJTYmRaTlEwRy1ncGJfQT09 |
The technology of blockchain is honestly insane.
Permissionless, decentralized, programmable money. This stuff could/should be reshaping entire industries.
But what are we doing with it??
We’re throwing money into coins like $POOP, $RUGME, and $FEET4U on pump.fun. Tokens live and die in a maximum of 12 hours. No roadmap, no utility. Not saying it’s not entertaining. The adrenaline is real.
But like... is this it??
Are we early to something bigger, or are we just wasting one of the most promising technologies? Curious what others think. Is there *any* path forward here that isn’t just dopamine farming? Whats the future of SOL? Like... wtf? Am I just missing promising projects?? | r/solana | post | r/solana | 2025-04-10 | Z0FBQUFBQm9DbVhReGV6VV9kalo0VTFQX0NrR1hyaU8xSHF4SHBkUWlkQUtQX3BnQy02U1FsRFowWU5OSnpqelN0TzNRVlBYMGZUeEx0WkxjZWdqTWdlRUNzRGxHVThnUlJyVU1IWU01bW9BUGNkUEtELUxjUGs9 | Z0FBQUFBQm9DbVhRSVFpZm9FeEZmZ1NrQXA1VnZtMnNSdXliRE9hYTcwekkzaDFpQjhuUFhqUWxzSHd4YjdfWHNVNXJ5b2xUYlNKajZLeGdqMnBqSUhWV1E2UW5pUGp6WDZWMUpPa250ZEtUUi1vSkhoUk80bUFMdG1WSkdWZldFeXpMREVlODBiZjMzS1Y2aWxTR3BEZ1o3X0FxZk4xN2ZyT1dZVlE5WVNyVlZCbW56T2lNWUFzamxSekJuMzM1bUtCS3lDQ2tnaXl4 |
Because whenever I peruse indeed or linkedin almost all the jobs that ask for a degree want a degree in a specific field like business, finance, accounting, management etc. Oh and they all want like 5 years of experience.
Are there any entry level jobs that don't care what degree you have as long as you have one *and* don't require multiple years of experience?? | r/careerguidance | post | r/careerguidance | 2025-04-10 | Z0FBQUFBQm9DbVhRRlgtMUtqNzhESmpSazA5Z2ZaeVE1bDBtVnBCb1ZYS2VxNXhabkt3ZnBTa1VaZEc2ZzhMX2V4bm5pSEpuTWR6a1dUN0ItZ0dSRTk1Z015eEtLWUI0emc9PQ== | Z0FBQUFBQm9DbVhRTWRLdXZUemRmYTVzUWJtR3ZVTG5XaWFLMWFpa3VNWHlaenZoa0xsR1ZaVlVqdWw3b3hDU21jOFZCSGpuOGwwWGpQTHV3cnNoa0QxdHNUT1BxdXh1Q3RHRFkyUWU2S1dSbFF4UFRwZXF2bjNXTG1iYTFrcFFxZWFxQjRRWEdtWElKbXRtNmZyeDZIb19HVmx2S0RFb2Q5alV2Tll6N1MtN3dwMG44Y0tZV1lkT3EwVjJkbkxnbkdGTTl5aWVhamNuRE1FZjZhS0RtUTdYNjg4cEROVFpYZz09 |
Unstoppable Trump duty on China's products plus a 20% to former reciprocal duty of 125% according to the White House. When is the end of this race of machismo?
What is your prediction of crypto moves on this? | r/cryptomarkets | post | r/CryptoMarkets | 2025-04-10 | Z0FBQUFBQm9DbVhRVzg0Q1dGcklDY0NqRnhrbFdnaC1Jd085N0g3LTA4WjY0Qlk4djkzenZ6aDZUeFVHOEk0MWlYRG8yWURHT1ZtLVpUcU4tY2M3cVpVcnhvUXhOanY1S2c9PQ== | Z0FBQUFBQm9DbVhRb1FkUEU5blVJVWI3RzUxNFdvVUxZSHEwT3JzV196NDc1dlVHeDlwLVZybV85d2licWRabU5MWDJIV3ZFQm15c0lsZzlDOFhYQkNPcDVDNGUtay1MVVQ5U1RKa0pqbFpXbktmUXZBazRhbEQzdktELTFwdTZBeHB2YUVRVm5GT2p0djVid2M4YWlDa0xPMFB3djQ1aS1lOC05MEVfNERXejhLWUo2VE1TREhjbzNmUGFmbWtIeG0xUFBKWXF0cWUx |
I am mining BTC and BCH. I have 2 gammas. Both of them are pointed to ViaBTC. 1 week down and no luck. | r/bitcoincash | comment | r/Bitcoincash | 2025-04-10 | Z0FBQUFBQm9DbVhRcEFMSGttV0RwbWxPQUQyZ0prazJ0YWp6VFBDa3M0S1dCemxieksyRnpncjdUTnc0UkxJb2NWTjlYZjdrWnVMNjV1elBmS0NvLVRBOVc0bll2Q2xzYkE9PQ== | Z0FBQUFBQm9DbVhRTEoxdno2SlV1M0VOUVBfZlBhd3JjUlI1VndldDQ5dnlMV1IxTTQ0ZEdpUklmNXVDdUtqN3pkR21TaEtQRF9na3FERkdOc2ljTnYtNTFtdVlTY3RMOGZpSkV4Z1BmQ3VCSWtiZFhGakVQY3FacWQxRU5oWXQ4bjdDb3lVakhDSndmOXp4OEs1RkJGN3Zvck8xUjl6SzZlZ2ZkMUU0Q2QxTllqUC1LSU01TGs2WUVJeklrencwT29qTGpsaWQ3NlJDVEFQYjhNakpYUlViNHBIUmJHZi1ERzVqRE8wZlhWTDRqMjZBTG5qRHppST0= |
The regular economy is in shambles because of the whims of one narcissist. The crypto market was already volatile and unpredictable.
Anyone trying to predict anything beyond the next few hours is fooling themselves. | r/bitcoincash | comment | r/Bitcoincash | 2025-04-10 | Z0FBQUFBQm9DbVhRNGlhcWN1WTRmVWI3V3liR1ZvakUzMUxibUx6cnY4bkg4bU1JR0ZvekJlSGV6NEQycGpQZTJraGl6UmVWSTlBSkttYXhaMkpWV0JWa2d4WjhmNV9DdGc9PQ== | Z0FBQUFBQm9DbVhReUtSN0poek5zVGR0dlp0aG9FLWlHSEQ0YTM0a29yQXBmYVJDQmEyQ2hCa1VfTmhCSlIwQkpMZjl3T0NKLVdFcVh5c1k4SDBrTlZ6RTRyTEM3V2hBejRTTU9rVU1fYUtxME9wRG9BcUx1eHBVdkZsNWlWOEREUWJoTFFvMmVQcTlydllvSjBEbXhtX0NHRGt1dzc4NEo0b0J2VVNhLUw4RW9uNkc2QXdCeWRHMHl0TDF2X3YteXJYZ0c1d3k3RjZQYkV5NnA2a2JaRHdjblpPSDY1NnNZQT09 |
Sorry ...wrong sub... any suggestions on where to post this? | r/neuralnetworks | comment | r/neuralnetworks | 2025-04-10 | Z0FBQUFBQm9DbVhRcGN5NTJMbEwxM3VKWUZWeU5zUVRUb1ZjOXpPdXRRWmstMVlpTDFWdWtPZGF5Njl1ZTUyZDBITEFRanF6Mnd4VGtjcm9mb2lFRHozVDlnX3hJaHh5V1BPSFBnWVJaX3VvSjhrRXVOa09sZkE9 | Z0FBQUFBQm9DbVhRdlNNTnpyM3I5V0VPS18tZXAyOHRNUWhvZW9fU1FDZDlQb3R2VXZLMlllRzV0SnlhZU5JYThZVnRBM0hQTTlVVnljeFNWTW9pdmM3MEQ5TDh5czhoY1dNejZPYVJNWXBZNHh2ME5QOTkzRXFEUmxxanNpTEV5NEdsM2lPVHg4dWZfMjZmUkVwTU03SU1XVmJFazVSYy1iTUlha1hzRzNjVTRSMG5Vd1duSDlzS3BFelUzRC1LMGRBZ0hxakMyaWFXaExSb1drWWItQ2xFMkw1bkRKem5ydz09 |
I have been paying Spotify premium for a long time, but I'm quite tired of the pour web app and the bad design, I want to play with some open source apps to see if there's a good alternative around there.
I'm search for a desktop-app and if possible a mobile app too, it should have the option to upload music from your own library (simple files) but I think integration with other services like YouTube and stuff should be fine (I don't think I would use it anyway), also I now is kinda a weird feature but I'm also interested in a video option, just for saving the music videos and stuff.
I find Nuclear, but I didn't see any mobile app or video feature, that's why I'm searching more options, if not I will just stick with Nuclear. | r/opensource | post | r/opensource | 2025-04-10 | Z0FBQUFBQm9DbVhRQmRGZnI4U1dfOGFkX0lxWlVEQWpENF9yTXBoZ0NmdXlBV1FVVFprUGtQdHIzd1FpbGhfbVo4VFRVcmxDVUtsb1IzcFFhaGU5SHZuNWxpVlpYSW1UR1E9PQ== | Z0FBQUFBQm9DbVhRYXVhczFqYnd1Zl9pU0dDb2N3TUFseUtmRkpEQWlxUVFZSVh0cnRuTDFlYXdMTDlZWElPbFZzSW16ZG1QcHFqRlR4VDdabnZWREcyYTdXbjFVbjQ0VHg5eDA3RXBEajlzbnp2dEk5V2pqLUNLci1vQUUyYld1NWJBT0JTQ3ZOMGZDSTVYNHlCRU9wSGZmLVVEOG1ITE04NDRTT29rWGNzOXF5SVVzdGhiVEJ3PQ== |
God speed. | r/bitcoincash | comment | r/Bitcoincash | 2025-04-10 | Z0FBQUFBQm9DbVhROTlLWThObkZIUE4zUmlWUjZKMF85SnJhSm9neHMxV3hzX2FuZ2ZZVUJOV21pdzdUQkpsMVJVczVtU3c5ejhxMktjQmVpdnQxVzFaYjBuaWFWTVh6ekZqTmdsWXZneDRTMS1Dazc2NnBMZkE9 | Z0FBQUFBQm9DbVhRTEN0bTdudDRwN0I0WUZiWFhmY3FxY044Qk5PbkJmVWpmVEV4U0RPajF4NVN2RkFCeG96ZmtBMlo5aVItRU9iRFJYV0NrdTJkYmxQS3BlT1UxYnRwSmhINFpxS25pRlZWV2NHanViMHREOWNxMlFfaXh5OG9fUnFIYzM5aE9PMm5JYXZROHFpbV84c3RVdVVVYWU2Q0d5bTV6MU41NmppWC00T3k5dlNIelduY2Q2NDJhcXhIWFI2TlVxcXg2NDliMEF5T1RqODV1Y2xtQnF5RGhMUjBjdz09 |
BCH has a limited and finite supply.
However, the problem lies in the large amount of liquid supply traded daily. Margin traders can buy and sell substantial volumes, which leads to significant price volatility.
With BTC, the turning point came when major corporations began buying aggressively—first at $100, then $200, $300, and so on. They had enough capital to absorb the entire available supply at each price level. As a result, BTC’s price kept climbing and never returned to those earlier lows. This showed sellers that there were buyers willing to purchase everything at higher prices, reducing the incentive to sell cheaply.
A similar scenario could eventually play out with BCH. An ETF would accelerate this process, as it would allow a large number of small investors to collectively absorb the available supply at these low price points. Even without big corporations, a large enough group of retail buyers could push BCH out of the three-digit range. Over time, as each price level is bought up, the market can gradually move higher—powered by the crowd rather than institutional investors. | r/bitcoincash | comment | r/Bitcoincash | 2025-04-10 | Z0FBQUFBQm9DbVhRQTNnTXJZT2ozVGtCM2VTQTdlSnRMaTliQ08tVTBwaWFCTS05MVJRLTkzclMyaHV6WndJWE1JREtLWWRaZFJjcmlsZEVZSEY0RU1VWDBuYU12Q05XYXc9PQ== | Z0FBQUFBQm9DbVhRU3pDdnlVd0c4ZmFnN0RRYlktMlZNcW4yYzYybnRuTEtrUnBZaGR4V2J2eUwteHhIWV9faGdxRkdQWmt5cE1ZWGY5ejFSMEltRUdNbEJPMFRmeEhNTjRZTHB6RmNadHM0TmlUeVV6ckVqX3kyMEZOa3JBaWFZTmxITUlPcTUtWE5BQzZwTUhLOVBQY2paNTZZdG82YUw1LTZ4VTBLbmJCSnZ4TEJtY0FBemhsTDhybkMwYTZ5RlQ5WXZRNEFZbU9jNm9selNGd1FpT2RENmFiZ24weGZ6QT09 |
I have seen this kind of topic a hundred times. I never though I would be the author of one of them though.
I have been in crypto since 2017. I read everything I could on it before making my first purchase. I bought a ledger a long time ago as it was one of the most secure item to hold my cryptos. All my crypto-savings were on it.
A couple days ago I saw that my PayPal account has been hacked and someone stole 1000$ by making a purchase with my credit card. I called my bank, cancelled it and got refunded.
This morning I went on the ledger app to check my btc and saw 3$ instead of the 30k (0.3BTC) I had. And then everything clicked. Someone did not hacked my PayPal but my iCloud. And somehow found my encrypted file with some seeds on it.
It is my entire fault and I am the only responsible for what happened to me.
I guess this message is to warn everyone. Sometimes your crypto is secured, but something else isn’t and they hack from there.
To the person who stole my money, have fun with it, I personally hope that you will choke on it and die slowly.
Edit: guys I know I was dumb. Don’t rub it in.
To answer the most common comment, yes I know that you don’t write your seed phrase online. But when I bought my ledger in 2018 I didn’t know. And I did not even remember I did that. Like I said: it’s on me. | r/bitcoin | post | r/Bitcoin | 2025-04-10 | Z0FBQUFBQm9DbVhRMTNjaGRkb2NDekUycUZ4VTZsS3l1bDNXZ3V0VlhjbXV4Y1Z2aC1GM0VBYmwxT2ppakRPSUd1VHJ5YmlMVjMyZC1UZ0ZoTm1KbUN3a0pORk9DQzhZMmc9PQ== | Z0FBQUFBQm9DbVhRSFNBM2lkMTZfbXJaSWVsNEZONnhYUEJ3RERTVEY0eVVzZENBVXBxcUJPM1VNd01oUXRCaHhETXF0bUppWld0bE1iYmJGcGhjQWFPcXRQNnFkcnR3Wl90MHRLVm1HQ0VvZTI5UVFsOE1Gc09FSFhBYVItWHNqdGFmeFdhcHQwOXphaVg4bVR6QkZsT21QdlhFX0pERDY5VUxncVdXWVpBUXpNbUJxdWNyS1ZpZ0U4SXh5WDdZREdmQ1JOMnl1WW1F |
I haven't really found any concrete or solid answers to this on the internet, so hoping this Subreddit provides once more.
I have recently gotten my first job as a Jr. Software Engineer. Amazing. I work with Spring mainly, some react if I'm needed. I believe I write good quality code for the tasks I'm given. But now I feel like I understand the vast majority of basic topics well enough to be able to produce higher quality solutions to complex problems. However, I lack the knowledge of the how.
I look at my colleagues PR's, but I want a way to learn somehow to think up solutions to complex problems that are maintainable and easy to scale. I will give you one example. I saw a Validation class, that was custom-built, where you could pass in custom implemented rules and then validate user permissions. I thought it was a very interesting solution. However, I can't wrap my mind around how someone thinks of such a way to do validations. Does it come with time as you continue working, and I'm just expecting too much of myself, by wanting to know everything? Or is this a thing that I should be actively looking at by scouring open-source projects on GitHub and trying to find inspiration and broaden my perspective on such innovative solutions? | r/learnprogramming | post | r/learnprogramming | 2025-04-10 | Z0FBQUFBQm9DbVhRRFR1Ukx4Q0ZTY2kzaUNEdU9ReG1KSDQxcThBbldBSUVKQTFNWVotTm5XaGowY0tDNm9peV9JNGhWN2hUdncxa0FDUlctOGFJYnl6QlF5RVBpeHZuZ1E9PQ== | Z0FBQUFBQm9DbVhRSFQwNWxMQ1hrLU45bTlSU2M3MmZZMkhYLTI1QWNZSFZiTjdLanpEaEJYWS1QcjZZQ2taSWhYQTI1dE4zVnUzNWJrT2xXckJ1UFRlZm9DcmMzanNHSldEQjc3N1Z6cTYxOHJlYWhSWmxCblBicEpCcjI3Ym50Yi1YOTJmWV9sYWdYTnBNbGpjVmhPREpkS0k2WHhXSmlfWjVId0pibmVHTDRFN1d3alBjcHZoaTRGc3VsVzNIcnEyeDJ0bDdGQU9Eb3JYNzVtNm15UHl5R3N1MXhEdDdMQT09 |
I hope this post can help others. I am thrilled and relieved. I have had many periods of hopelessness throughout this process and I hope that sharing my experience can renew some hope for some folks who are in a similar position as I was.
Recently, I received multiple remote offers. I went with one paying a 145-160k salary with a Fortune 500 company. I am keeping this post a little vague to hide any identifying details.
I was not targeting super elite companies or positions, and nothing FAANG, so this may not be as relevant if you are. I am in the US.
Sorry for my nearly stream-of-consciousness bullet points!
* I have \~5 years of experience in a full stack capacity with a popular tech stack, all at the same small and unknown company
* No portfolio, side projects, or certs
* I was laid off >6 months and <1 year ago.
* I started job hunting (besides some half-hearted applications to keep unemployment) 2-3 months ago. Before that, I was going through a very difficult time mentally and had done *nothing* to brush up on my technical skills.
* I was "open to work" on LinkedIn during this time (without the banner), but scarcely got any recruiter messages (perhaps 1 every 2 months).
* For about the first month of job hunting, I sent out cold applications on Indeed, LinkedIn, and company websites. I did get two interviews for hybrid roles in my area, but nothing for remote roles.
* I do have a well-formed resume and perform excellently with any kind of behavioral question.
* My favorite resource for behavioral interviewing has been Austen McDonald's substack. [This](https://thebehavioral.substack.com/p/using-the-carl-method-to-structure) post was the most helpful for me, but I would recommend checking out the other posts as well!
* I do think I do excellent work in a real job setting, but I am pretty bad at leetcode and system design, and get horribly nervous when live-coding in an interview setting!
* After the first month of job hunting, I said, "Fuck it" and put the obnoxious green #OPENTOWORK banner on my LinkedIn profile photo. I had always heard it makes people look "desperate", so I had never tried it. Y'all, **my inbox exploded** the *day* after I did this, and recruiters even mentioned that they were reaching out to me *because* they had noticed it. I'm talking 1 recruiter message per month at best, to 10 the next day, and \~10-15 per week after that. I did get sent a handful of irrelevant positions, but nothing I couldn't sift through.
* I cannot emphasize how much this is worth trying. Maybe it deters some recruiters, but it attracts a lot of worthwhile ones too, at least for the non-elite positions I was targeting.
* I updated my LinkedIn headline and bio to have a bunch of keywords. I edited my bio once a week, even just to reword it a little bit. I suspected that this helped keep me higher in recruiter searched results. Not sure if that was true or not, but it didn't hurt.
* I had some bites from continuing to cold-apply, and some of them were remote positions too - but these interviews were much harder and the recruiters for these were much flakier and less enthused overall.
* I got a ton of traction from the recruiters in my inbox. The offers I later received all stemmed from recruiters in my inbox. There are definitely a lot of companies that rely entirely on recruiters and don't even bother with making job listings.
* In the interviews for the companies that then gave me an offer - there was no leetcode and no typical system design. Besides behavioral questions, some of the technical portions involved questions about domain knowledge, OOP, design patterns, "how would you approach this problem" kind of questions, and some code reviews. I answered them well, but definitely not perfectly, and had some misses as well. Despite that - I was told by all of my interviewers that they loved me as a candidate!
* Most interviewers did not give a single shit about my time off. Some did ask, but totally understood when I said it was a layoff. If they then asked me about the gap, I explained it as being due to grief, and also taking some time to do a non-tech (but cool and unique) project to support a family member. I emphasized that I only began to job hunt seriously in the past 2-3 months.
* For those who have been hunting for longer - maybe it's worth considering making the beginning of that gap sound intentional rather than like you've been getting rejected for a long time? YMMV
* Having multiple final interviews resulting in multiple offers on the same day felt very serendipitous (and gave me great leverage for negotiating), but the end-of-the-quarter timing probably factored in.
Thanks for reading, and good luck!
---
Edit: copying-and-pasting a comment I left about behavioral/general interviewing tips for more visibility:
*Definitely would recommend the substack I mentioned above (*[*here's the top posts*](https://thebehavioral.substack.com/archive?sort=top)*) - honestly such a great and free resource. I have found all of his posts helpful!*
*Before interviews I do a little meditation with* [*4-7-8 breathing*](https://www.medicalnewstoday.com/articles/324417) *and it helps calm my nerves. This was a tip from my therapist. Sometimes I will take 100 mg of*[ *l-theanine* ](https://www.webmd.com/vitamins/ai/ingredientmono-1053/theanine)*with my morning coffee too, I find it helps with anxiety without dulling my alertness.*
*Having the attitude of a good coworker goes a long way - arguably it's even more important than being technically competent. Imagine the kind of person that you would want to work with. Show that you are humble, willing to admit when you don't know something, curious, not afraid to ask questions, proactive, easygoing, focused on the big picture/business impact, and have a growth mindset.*
*Find a list of common questions, take some notes on how you would plan on answering them, and actually practice answering them out loud to yourself, or even better, to a friend. Practice until it's like muscle memory. There are some software interviewing discords (try the search bar), where I bet you could find some people to practice mock interviews with if you don't have anyone in your personal life. Have a few stories prepared that could apply to multiple questions with a little tweaking.*
*When answering questions, I try to find little opportunities to show off my knowledge and experience even if doing so isn't the most straightforward way of answering the question - e.g. I will connect the question to a project I did or a problem I have solved before, will mention a relevant case study to show that I keep up with industry trends, will mention a quirk of the domain that shows high-level understanding, etc. Don't go on a huge tangent if it's not directly answering the question, but an offhand sentence or two is okay. I've gotten some great reactions and feedback from interviews from doing this.*
*I always send a thank-you email after the interview too, with some details specific to what they had shared with me about the position and the company.*
---
Note: This was originally posted in r/ExperiencedDevs, where the mods removed it for being "general" career advice that could apply to any career...lol
Edit: I'm paranoid and won't share the company names or my resume, sorry. Feel free to ask some questions about them and the process, but no guarantees that I'll answer | r/cscareerquestions | post | r/cscareerquestions | 2025-04-10 | Z0FBQUFBQm9DbVhRdG5JbG1WN1JOaktOS2h2NC04bXg1MjV2MGNJUUxzZzh5UUF5RkZDZnREOXRmckpIQWZBUkFGYVlGQmlKSXR2SVExemw0WlR4azdQVlFZa1RDdjEyVWc9PQ== | Z0FBQUFBQm9DbVhRNEI2bXdvQ3dVWEs1eEpQNmJXclNjM1VrS1psT1Z4TzRyUVpUOGpMOHhudjgxenJEaXAtMExZaWdDa3h2MEwzV0s3d0hUNlc0c2xrdURpNXJfWGRtUkE0bE0xNlFHRmZadXhpcGZ1ZTktRDRHeEdYRzB4R0dHdUpuXzVOYzQ0eXNPS1FGN3JzbGROeFZBb21DeHhYblRpN01kMGVTaXBKaER6LTdPYjFJM2htTFVmVG5LWlctbDNheGFhWExFWFNDNmV1OFg0RWtRYUdTaTN6eUNYZFRuUT09 |
I’ve heard a lot of jokes about how project managers in other fields (mostly software engineering) are essentially useless and don’t know anything about the field they are in. My current PM is a CCIE and my previous PM has been in technical roles for about 30 years give or take, is this common or have I just been lucky? | r/itcareerquestions | post | r/ITCareerQuestions | 2025-04-10 | Z0FBQUFBQm9DbVhRdGp5NDNDQkh0U2kyNzhjMzYxcmNfS0VUVnRockxpYkx4TVpkNnJFZFlFeXdtMTA0bkdnQXhCUER4ZlEtMTlyMk4xcE5MM1IwaHduajdmN2o0eXZ1QzduRnY5RHplMnN3WFo3Vi1hZWYzOFU9 | Z0FBQUFBQm9DbVhRc0tlbW5rUEdNb1RiUUlPSkY3TW5XcWVUMU5hZE9xQ2ppb2YxZnNCM0h2U2xrd2VqbzZTVnVMdzlsb3JKVTBxQnowcWhHYzh0ejc2djItZnhBYzVvel9iUjBvRWpoUS0xTUg1OUJZX2s3WWNOVS1aalBCYktHczI4WFY4emVqb05yd3lFOURWU0FSREdoX2xoZkVLSm4tYm1KN3pRdlcyQkRHbWN5cjdSc1V6S2x5NW90R2FCVWgwLVlSZ05CYVRlbHpGOGpGMjh6VXR3QXJ0Z3NkalFNUT09 |
I currently work as a Net admin for a large health care organization, 4 years experience. I am paid 72k/yr no benefits but good teammates and manager, get to touch a lot and learn a lot Palo Alto Firewall, NAC, Route/Switch, SDWAN, Solarwinds, Linux Servers, Certificates, Active Directory, Data Center, Cloud, VOIP, etc.
Got an offer for a Network Engineer role at a large F500 company. After the interview I learned that this network team doesn’t touch firewall, NAC, monitoring, servers, AD etc, it’s purely onsite traditional route/switch/wireless. The pay is 95k-100k with full benefits.
Wondering what I should value more at this point in my career. If I stay at the current organization I will learn a lot more, have the chance to work my way up to Engineer within the next 2-3 years with a good team I trust. On the other hand if I jump ship to the new F500, I would have a very prestigious title at a very prestigious company and make a ton more money. My only concern is I’m afraid I may be siloed into traditional networking when I’ve been trying to inch my way more into Cloud, and network security.
What would you do? What is more valuable? Money or experience?
Edit: I also want to mention job stability because that’s important in this economy. The current organization is “recession proof” in a way, I have full job security here, never any layoffs in 80 years, whereas the F500 is in an economy dependent industry that is known for mass layoffs. Should this should be taken into consideration due to the current state of the economy? | r/networking | post | r/networking | 2025-04-10 | Z0FBQUFBQm9DbVhRbGI1M2dISGZycER0Zm5xVTJZWFJQSS1YZV9Zd29qdXFLN3U2U08xcU5ZMlpwZHR4cnJ6cDQxU25ldkpISVNnVFlRSEplZjFDYVNfSjVIeHRTeXNuOWc9PQ== | Z0FBQUFBQm9DbVhRU2FReHpWWXlsU09vYUJrNTlPck52OFU1Ul9Fc3V1dGlxQVJkdDNSbkJNUkVwUGMwM2dXaUtrNlRmcUlCU2VhakdhcmN4LUlfZXV3SkJfcVJrM2hUQmhuTl9tMklKMmE4SF83c3dPaEtTMlNfMWN4UlRyTURLckFJOExETEFDM3ROTWZqZWR3Tk9HcWRVVjdLRk1jczlnYk5VbmtsVWlQV29BbWl6eC1WV2gyTUtlM1JXWG5STHRZdk0wdmFkMnkwWHBiOW8yLXI5cU5EYXlpVXJhUWRpZz09 |
I created [Memento Mori](https://github.com/greg-randall/memento-mori), an open source (LGPL) tool that transforms Instagram's messy data exports into a clean self-hosted archive with a familiar interface. It optimizes media files, fixes encoding issues, and protects your privacy by removing sensitive data. Use it with Docker or Python.
My export had 450 JSON files and 4500 other files, and it took a lot of poking around to get a lay of the land. Also, not sure what the deal was, but the export also contained \~300 pictures that had incorrect extensions -- i.e. heic extension but actually jpeg when you look at the contents.
Demo: [https://gregr.org/instagram/](https://gregr.org/instagram/)
GitHub: [https://github.com/greg-randall/memento-mori](https://github.com/greg-randall/memento-mori) | r/opensource | post | r/opensource | 2025-04-10 | Z0FBQUFBQm9DbVhRRWVxOS02dFcwYVVSaThzdEYzb0NwcENhc00tU1pDeXFxcmZqOU13RHNEVk5nN0U4MGNmSVEwNDdvME80Yl95akF1Q21GdTRhYWNnWi1sbG5hOHd3U3c9PQ== | Z0FBQUFBQm9DbVhRMy1KQmFzTmZBYzZWMHEtakpfWkdHbmp1WDAtY0pGMDdUTy1VTjVTS1gzVnVEcVVZZ21Uc1Q5RzlnYUpFcjFPUURBVGREWkhtdFF4WE5hbC1RbGtNM2dLckVHMWFVbzlvTnFCUTVHdEVvbDJxanBDdGFGa09DMUtBTmdsQ2NkYW50Wlg0bjV3LWxOYS1Dc19ueExkWkhUXzRBVmNWNkU5Wk9HUmpLU21KUnlNb3BkT3Z1MmNOdVB0N0hOMmFBNzM4SGVnQ0FTSVJYUDRaZlBzY01fWXhKdz09 |
Maybe take a look a this PINNverse paper, this could work in your case, since PINNs strongly overfit when having noisy data https://arxiv.org/abs/2504.05248
It is quite easy to use | r/neuralnetworks | comment | r/neuralnetworks | 2025-04-10 | Z0FBQUFBQm9DbVhRbDFyd2FaTFREcVFFU0poRVNzYzRwRXZyNzlQUzJGeUc2NTQyQVdGX1N6UnFmbERraEVKeVhGaTd3TU1FM3d6WmV0NTNjR0hyTXd1MUlGaEhsdjRaSVE9PQ== | Z0FBQUFBQm9DbVhRYk9HeXIxRlhrakp0ZWg5c2t2eF83RlJCMUZRWEV4RTJ0eXBsMy1Rd2tKNC1JR0hvQ3hKbTV1Y2VNT1FkdEw0d19vTUM0cHhEU2J0Vmd2c2E4ZDhjMXdvM0NUa0RsYnRTTmpkMkdyTzEyanBnSWprWHpoanFuMTZ5WUJWSng5aHMtZjVMSTRCY2t2U191b2huNjgyZlo1MzEzbmtTenJHNm83SUpIOGlNY200YVA3b3QwMXl4dzA2X1hHU04zdU52UUZVMlRsN092UnFPX2d0ZHBJSkZPdz09 |
Hello, i am still new to fine tuning trying to learn by doing projects.
Currently im trying to fine tune a model with unsloth, i found a dataset in hugging face and have done the first project, the results were fine (based on training and evaluation loss).
So in my second project i decided to prepare my own data, i have pdf files with plain text and im trying to transform them into a question answer format as i read somewhere that this format is necessary to fine tune models. I find this a bit odd as acquiring such format could be nearly impossible.
So i came up with two approaches, i extracted the text from the files into small chnuks. First one is to use some nlp technics and pre trained model to generate questions or queries based on those chnuks results were terrible maybe im doing something wrong but idk. Second one was to only use one feature which is the chunks only 215 row . Dataset shape is (215, 1) I trained it on 2000steps and notice an
overfitting by measuring the loss of both training and testing test loss was 3 point something and traing loss was 0.00…somthing.
My questions are:
- How do you prepare your data if you have pdf files with plain text my case (datset about law)
- what are other evaluation metrics you do
- how do you know if your model ready for real world deployment | r/datascience | post | r/datascience | 2025-04-10 | Z0FBQUFBQm9DbVhRYy1iTjFaMkU0TUV2Z2NjWnE3VFM4TVVWeVhZODh5UHVwVU5ycUZkaWpRQ21fYmVuWnpFMkE2SU11eXdHS3NYTEYxeENLX2dDUS1ZX1lJcU1vTVVJRGJrYTlQamRibk9vUFlCNmdBMmE3MEk9 | Z0FBQUFBQm9DbVhRSS11M19wTGkyTEhTb3BmalJQNTFBVnd6OVpXeHQ5cV82OHRTQTBiRTExdmFxZmlGcjJKdDVLOFFYcmJnQWw5VFVQYWtHSzYtdjB5SEtIS3N3UFlTb0p0blZRaGhzSnY2VHNrdV9XWjI3QV9yd2J4dGFsdl8ycHFJOFN5Tkhya04zeE4yS0hkaEhuUV8zdmJfWlh1b2NuUmdDSlhFV2l2UzhFV0pWaWgwc2F1cWZRRnlhT29uNmNJN2N0b0NlY1ZI |
what's an example of a company that's hard to get into but offers good-decent pay and you can go home at 5PM if you do get in? Basically mid level pay but good wlb/stability.
E: when I say mid-level pay, I mean like maybe $150kish for a senior, not $400k or whatever this sub defines as "mid" | r/cscareerquestions | post | r/cscareerquestions | 2025-04-10 | Z0FBQUFBQm9DbVhReDdpRUI0ajhkN0dEb25pcG5fMV9sS2dpcWNYYmVNWklOTFJMY19pR0dBd2FYX0FZR08zVDBpeVoyam5yWHlXZDRxMEQ1bm9BX0RtVHdrdGU0Z2hMZ2c9PQ== | Z0FBQUFBQm9DbVhRUXRZcEtkaTdVRTl3VUluQVFMNG5aeEMxYXZqT2RpZ181Q25hWnppOTd6VGdZeGRsajFfbkMyN180ejhqLWlLMnl3d3VVMF9mbGtMRTR6amptY2dta3RfMFJkeVBlc0xGaTNEM1VkNWU2UXROY21kT0lXcUN6dFFXMUlNQzh1RlRma3N5UzFFT19QZFdrdElBdWVBZFNMY184X3NBcTFKYTlxcl93MTg1MW9EX3ZoYlhHTXh2TnppakYxRHBhS0duSm5CWVAtaWZXTUpyRXI2QThIYS1fQT09 |
In recent days I'm reading a lot about 2D barcodes (e.g. QR codes and DataMatrix). A list with many of them can be found [here](https://en.wikipedia.org/wiki/Barcode#Matrix_(2D)_codes).
I personally find the most wide-spread and wide-supported type, QR codes (especially version 2 and higher), quite ugly. And while some of open-source alternatives (like public domain Aztec codes and MaxiCodes) are prettier than common QR codes, they are no match to some proprietary and patented solutions: namely Spotify codes, App Clip Codes, HCCBs, Messenger codes, ShotCodes and Boo-Rs.
Is there a Free barcode standard that looks just as nice? | r/opensource | post | r/opensource | 2025-04-10 | Z0FBQUFBQm9DbVhReHJiY1pBS3BQeHgzUGpoNUh1MDlMWWN3Qmsxekl0c3hjd1FrSFdUTUNjZXRBUVI4UURFTlNjMC00cUE0NENjc3dhOWZuZXdzbVdWcjNHTjJrLWR4U3c9PQ== | Z0FBQUFBQm9DbVhRQzhaQ0ZfNmlrVXZoRGNWZ3FtdWpLZ0xvTU9PUHZaUExLaWVrN092emhDc2hZU0VmdkJYeDhfMXBlWjlYNk9xN2VwRXJhV3BGNmVKQ2ZLSk1GY0Z5QzR4WTJhN3Y3bFI1QUQwUl9INnVVMnUzVlVpcWE2UFpIdTg5SF9QaTUyaklCWWlENmpPRmRDYzZ2cE41M0Y2aE5FTUVCNTBJVUhqMVVBUUd5eXlaSnE4OVpwWjJwOFYzZUVZTkpLNFVNV2I4 |
LTC has an ETF? | r/bitcoincash | comment | r/Bitcoincash | 2025-04-10 | Z0FBQUFBQm9DbVhRNU5keEFqWXFLbEtleWN0VDdObXZqOUNtcFBfZWlLaVFZWWdkTDRpd2pQRlpmSHVMMXIyVjRxbFBKMVFEeTJrOXNoNV9zeW9QVHpYdTlPWDdnWFhGeTlIREZxZGtLeDB5bElzUkE1X0JHMzg9 | Z0FBQUFBQm9DbVhRak1RLWZ1b2phc1E1Z2tKVnlQX2pCTU4xaG9pdGRSZDBqR0NWM2lUUElLT0FnZHFLQmtsTFlBT1lBVlJsR3U2NDllSHhOWm1odS1oZlZkUi1MVGt4dGdCbE1KTFRoZzlpTEVwdmozbzkyMWRXcjZldlNFM3k2cm5hdlNfQmJ4SmJJaEVDVUQ2dkxDNzVvUnJrZnRyM1QzUl9jbzc1UmtKQnRUNGN5QWZhTl82RUZWemF3V3pJazdWSHk5cHp4VlpHdkhlODJtQ2Rva3FpMlljYnM1V0NGUT09 |
Why does Ethereum on such a downtrend?
I hear some people say it’s dying but I also hear a lot about all the new projects using it. Can someone dumb it down for me and explain why it’s doing so poorly compared to other comparable crypto. | r/cryptomarkets | post | r/CryptoMarkets | 2025-04-10 | Z0FBQUFBQm9DbVhRRTZQeXhFYUV5ZVFnUUk3V3pVamw4ZURMMG9fVWY0T1ZsS29Ucjk4Tm5SZkF1ZFc4SEVRT3NGeHl1b2o4LXhNNTJzaUswbk1icWZDZllVQkJQSFhpSkE9PQ== | Z0FBQUFBQm9DbVhReWRiem1nSDhPMXFvc0xWOGtPSkd3MFBQb2FwakJpbDJNd0FYLXlDa0g2R2ltODFQQWxKVDJqaGZOamowRnYtbm9wZHpSd1ZHWXFhbVItT291aE9vamF1V0JxUng1Zm5yRGZhWVQ0cWFaUEZYd21wc3l4dDZBRkhpczR6aG8tdndkOEpxVDhkZFBXZnpfcGtNQ19ueExEbGwtM185MXc5MTF2MHJ5TG5ldEMwYmkwWktHa2hvNmo2ajd6cm5zWFBk |
I’m just wondering if this is maybe the area I’m in but most of the IT jobs in my area pay max 35k to 40k. I could have sworn just a few years back helpdesk salaries were around 50-60k but I’m seeing helpdesk jobs paying as little as 13-14 an hour in my area. Even for higher level roles I’m seeing system administration roles pay 45-50k (which I think is pretty good for my first role) which is what I’m making now as a technician. Is this due to the influx of entry level employees causing salaries to drop? I’m just wondering if I’m crazy or if anyone else noticed this. I go to look for other jobs in my area but it seems for entry level that I’m not going to get anything that pays more than where I’m at. | r/itcareerquestions | post | r/ITCareerQuestions | 2025-04-10 | Z0FBQUFBQm9DbVhROXNOeGFOWG43a0lCLVJUeVhFd3I1YTFGUHFDaFFBUDZXSnNlNXNLS3pTNXktbUxNOTJrbFJoSTNLY09VU3JCUElBLWhkYldCazNFMU9GZlNITFdXdWc9PQ== | Z0FBQUFBQm9DbVhRVmJSemtKUFRrcmRsYW1hTXN1SVRSRFFWVURKTko5YkNfQk9GZTBnMDVsVkVUUDBEdERrQmx2RVlYQVNkZzhYUDltcTE3d1V0Qk1wOTlCX3ZvcGxLd2VFVkVxSXRBY05EY1hmeHNsREt2MzMtcHNfaTRnc1JuVWZtNWdHUEFvXzQ2c0ZZU0VMQ2F3QUtyeU1uQkYxbGVnZzdBekt0X1BXUzRVYU52cFh3WHVFc0NINC1iMWFmZ3ZYZGI2cllCMVBNbHk5Z0VFSTZScndCN2pwd1daQ2FmQT09 |
Do you prefer working for an IT company or a non-IT company but in an IT role?
What are the pros and cons of each?
I have done 1 of each and prefer working in the IT department of a non IT company. Much fewer people to have to communicate with. | r/itcareerquestions | post | r/ITCareerQuestions | 2025-04-10 | Z0FBQUFBQm9DbVhRSlViWF9hMlA5RnFZbXFSNUhNU2d0YjM3MmlSbm9lZGdBak14OExDMkhTU1VCMXJ5SV9KUFpsV1ctR2tNc21keUdyckpvY212ZTE5Rkt1U2FYS1RSbEE9PQ== | Z0FBQUFBQm9DbVhRanNmMTNDRnVUcTFaTVlXTXJPZWlYU2lXV0FKeXY5UWY4Tzk2UGR0OVM0cUNKRUVUVEZSM3JkNFQ3eHYyam5XUkxETFdRWVRaTGcyUktRVkVyYWliS0R4X2s3c1ZNTU1KaW1pSFdxdjFzU1hTajNJM3F4cnFEemlhYXh6N0szeDJhNncyM21heGkzTWNjMTktVXQ4LVJCWTI1WC1lbHpMOTdhS2tMaU44WkdSd1ZQLUJYTjV2Y0MtZVFRNkloUlAxcTJYWndjSm5BWEwtckJQY3cwYWN1Zz09 |
I want to delve into some more technical interpretations in the future about monosemanticity, the curse of dimensionality, and so on. Although I worried that some parts might be too abstract to understand easily, so I wrote a quick intro to ML and encoders as a stepping stone to those topics.
Its purpose is not necessarily to give you a full technical explanation but more of an intuition about how they work and what they do.
Thought it might be helpful to some people here as well who are just getting into ML; hope it helps! | r/neuralnetworks | post | r/neuralnetworks | 2025-04-10 | Z0FBQUFBQm9DbVhRdmszT2k2VF9LXzZWZHV0bU50Ty1MUmR6dDNfVjZlWHp1ZVRwMklFNEtuaEN1NnBnZjhQTUZNdUZJMmthRHRfTE8tS1kzRzFpLXdKNUFqTHYwYUdkeWc9PQ== | Z0FBQUFBQm9DbVhRWDByWkVTODBMbTRQYXVtWHp0ckpvUndmQVpLOVhHZG9fQXdKcENBcmFFeV82Unp3bGMzM0hSQ2ZyT1NYQWY1Z1dYcTkwNUhCV3RYOGd2UkgyNktELUVjNXFpeXdLUGVlaVZuVTdEOVFSckpTTVBpbHFzQmVqN1RPanRDdlFMVGdQT292ajdtVTZNQVFROUlVMDlPeWtPQTF1TFhvbWxPQzZMZkt3SVluMzVGakVzZ2YzeUNoUUhZc2JHa2NCRnFkN2l3T2F1dFV6dEF6RVdNU0RfS1pPUT09 |
I can't think of any other field where you're expected to work for free and prove you can do the job before you get paid. I'm sick of getting through the first few rounds of interviews only to have to code in front of a panel—or worse, waste my weekend when it's 70 and sunny—sitting in front of a computer doing unpaid labor, despite having 20 years of experience and a four-year degree. This field and its hiring processes are becoming more and more toxic by the day, and I'm seriously considering changing fields. | r/webdev | post | r/webdev | 2025-04-10 | Z0FBQUFBQm9DbVhRZ0R3dHhrUURIb2xNZlRlOFFFVjM2S1QzR1Y4UElBYWt5TDVNYWZFdXZXTVQ2VmhReG9RcWt0dG43XzFUNEJpTDl3QUQ3cGVLenVWVzY5YktweW16d0E9PQ== | Z0FBQUFBQm9DbVhRUngzRmo5clhlNm9qVW03ZHdkOVc2U2poTllOMXk2Z1Q0NkhIVkM1OVlkMXdkX0ZXR1U4NFFGWE1SQ201Q0V1bDlFTmNjMzZscFpuTmlpZ1lvbElzMXlicVQ1WFJPeEpIVVJCQ241b291Q2dHVXNxeDB3YlpPcGxXUkpxT19SeDhzLV9uOW45VVNhRDNsNFgwYUpYeXZFTkNfTU0xSUd3SDBocG9jQ0lSVE9mQ3E3VDRycW1ZTGxmTy1KcFU5T1hObVlRYVN2ZVdYNEpobUdqSWRFTGdzUT09 |
There have been filings and it will likely be approved soon in the US | r/bitcoincash | comment | r/Bitcoincash | 2025-04-10 | Z0FBQUFBQm9DbVhRTmJfRXVrUVdyVzZaZFdxTTNXNm5oT2pNUHhfVG9lZXlxSWVIc1RYa0VSdXNycE5IZkZiNHhfRmFtbTVDb0ZjMEJkYmd5bmlyVEpSOGF6Z0dwSmJsT2c9PQ== | Z0FBQUFBQm9DbVhRbmV0RGh0UFFJVWVfc2t3bGgzdW9PRWh6WG9oN3IyWjFBRUhYUjg0NnkwLWRYS1JKNFBTLUdlaERseEFjRVVMdDBVRVlaZmdOY2k4Y2lLNW5Pakd3c01HUTBua0stZ0w4bkZBYUhtNWpfNnhsOXpOb2FHRlVsdG5nMjkwUWdCSnZvQzZRUUc5UWJ5WWxHbllMYnZpbFNnZy1rMUpmNVR2NUtDNUZ3RXFBMjZhV0VrTU5ZcElGM3h5dTlqaXM5WjBFcXlNYkRHOENVempXSjMxUzVOd1lWUT09 |
(Not my video, it's from the company)
So I'm in the beta test for a new game called Whispers from the Star and I'm super impressed by the model. I think it’s running on something GPT-based or similar, but what's standing out to me most is that it feels more natural than anything in the market now (Replika, Sesame AI, Inworld)... the character's movements, expressions, and voice feel super smooth to the point where it feels pre-recorded (except I know it's responding in real time).
The game is still in beta and not perfect, sometimes the model has little slips, and right now it feels like a tech demo... but it’s one of the more interesting uses of AI in games I’ve seen in a while. Definitely worth checking out if you’re into conversational agents or emotional AI in gaming. Just figured I’d share since I haven’t seen anyone really talking about it yet. | r/artificial | post | r/artificial | 2025-04-10 | Z0FBQUFBQm9DbVhRXzlzcE4wX1JDWDIxUkI2SmQzaTN6cjIzRk9XSjB4bmQ3R2tDR1VqN0NHT0FTRlMzTjNEN2VRbDhVN2V3N05sMGFHTUUwMDU5NEFkWkRtRGl2Y1lGTVE9PQ== | Z0FBQUFBQm9DbVhRNVpGTnZMOFpQb3RKQmR0Znk4TGx5UjRwc05sRy1FY0hQWUpoVVVqRWNtTkgzX2s2TzV5d1BKZzMyLWIwamRUS2xJS3oyS1JRQ3g2ZHpwbFNKYVlOcTFWQVM0SmxhTWJxbHFzWVdiTkpvbEh2eDkyMmRScE1xcXJOR0o1aE1QUDBsZDJ2VmF3eW0ydTAzTzBobFd0LXo5WUlHdktzTDQ2OGR2TTFSTDB6R0h5Sk43VndQVndjYVlyQUs3aEdJLVBZNy1TUHNWTDBLVURpTjMzcnlDZjZjQT09 |
Nice. What's the difference in an ETF and what they have now like BCHG? | r/bitcoincash | comment | r/Bitcoincash | 2025-04-10 | Z0FBQUFBQm9DbVhRTHNoT1B2UHJpZlgydERlMUprbzBqdFF3WlYtN2VwVlF6OUx5RXBualp3cTNkdExCcDljQzBuVnhVWkZqMlhVeS0zUWtKUnFuRmczSng3a0Q0dExqNXRocGRvSGRycHA3cU01Zm10Z25YMDQ9 | Z0FBQUFBQm9DbVhRRmJLSTNIdHZqTGlFSzFJWUxVdi1tX2p6NnBQZXhoU19ubHc2N2pDZHVOVkZHM1Z6Q0s1eEdFMXp1bHY0SGZZbFAwV1FSN3YwTTBWcEVmT1BTVmdRSlFvZ3diUkhGUktYYkZVSjhQLS14cEdtdkJ3YnYxdHphUlBMNGtyaEp2NWFXeXZ0N1p2VFl6MTRjUkhvSnRpbnhKbm5lc1VBXzhXRXF0MVZyMkpUNjlQbkplV2hQMDFBMFhhbGdoWVYyVkpmVWd4VFBuTnhjdTFhUnhJbEV3MXFtdz09 |
I’m the office IT specialist for an office place that supports in-office and remote workers. I am very busy all day every day. My supervisor wants to get me an intern, and I should be excited for that, but I’m concerned about appearing no longer needed.
Has anyone else gone from bottom of the totem pole to having to give up some responsibility?
I know I would enjoy having some time to breathe and plan things ahead, but that seems too good to be true. Am I crazy? | r/itcareerquestions | post | r/ITCareerQuestions | 2025-04-10 | Z0FBQUFBQm9DbVhRU0JiWFZMVVMwcWJCTktCTFNhVm1NQ3BUT180MWNvLVVhbGhWYUg5TFhFV3J1M1QzOTdJbjNuTlNDUDY4amRqTzAxSXR1YklZY0txNVBFcm9KakhOaFE9PQ== | Z0FBQUFBQm9DbVhRaHNIYWVaWDdQUEtzZ2JSN3lYOXYzWjZQTHl6bUcxREt5UDJuT1hNX203UlE4UXJwdEtuM3B0NlpOellaSkxfZzkzZ0lYQU5lYkpLa0pPMFV4LWR5ckZhcjJINzRmTm1adUdfcnl5dWFqMmdTR1BNMmduUzZiaXlybEg0S1IxSnpWLU5QVU5MMW1STFYzbkhrNEJJU2ZXZEViQTk5ZURtSmdBYWxIekVzR0luUGFnZWROcU42cl9SVmZ0cVFNTDVSUlZDMWlBbzhpaXBaTTdlNU9PY0JZQT09 |
Data science is obviously a broad and ill-defined term, but most DS jobs today fall into one of the following flavors:
- Data analysis (a/b testing, causal inference, experimental design)
- Traditional ML (supervised learning, forecasting, clustering)
- Data engineering (ETL, cloud development, model monitoring, data modeling)
- Applied Science (Deep learning, optimization, Bayesian methods, recommender systems, typically more advanced and niche, requiring doctoral education)
The notion of a “full stack” data scientist has declined in popularity, and it seems that many entrants into the field need to decide one of the aforementioned areas to specialize in to build a career.
For instance, a seasoned product DS will be the best candidate for senior product DS roles, but not so much for senior data engineering roles, and vice versa.
Since I find learning and specializing in everything to be infeasible, I am interested in figuring out which of these “paths” will equip one with the most employable skillset, especially given how fast “AI” is changing the landscape.
For instance, when I talk to my product DS friends, they advise to learn how to develop software and use cloud platforms since it is essential in the age of big data, even though they rarely do this on the job themselves.
My data engineer friends on the other hand say that data engineering tools are easy to learn, change too often, and are becoming increasingly abstracted, making developing a strong product/business sense a wiser choice.
Is either group right?
Am I overthinking and would be better off just following whichever path interests me most?
EDIT: I think the essence of my question was to assume that candidates have solid business knowledge. Given this, which skillset is more likely to survive in today and tomorrow’s job market given AI advancements and market conditions. Saying all or multiple pathways will remain important is also an acceptable answer. | r/datascience | post | r/datascience | 2025-04-10 | Z0FBQUFBQm9DbVhRLXdRSEVVTldZajdJNFlKVS1sXzJ5ZF9pSm92NlJZTXg5bEYzNTQ3N0ttdjQxVlNLcjBOVWRpdENiNThVUDAtaXMwaE9URGd1UlFSaHc2dUxETHZrcGt3d05kN0lvM3dJTmlDOEktRmRGSVE9 | Z0FBQUFBQm9DbVhRRUpJZEMzQlJNNVl3NmxDSDB1TUJENElUa1Uwa1lYSVlqUjZQQzlNZFhIUGlMWHVQZFpDOG1YZVVySF9Ta25vQlg1RjdseE5ON2QycDVxczhqa2xVVnpIbnVKYnJhYTI0d1lOQm9PS05CTFFDWi1YekVaSlJ4MG42SGYyWUtjZGdMVWo4TV9jQ0cxa0oxZ25odVcxT3dYU2JlQ2pmZEppWUx0X3NaUjlEWUVJZW5vc3VsSHdOcWp2UlpsOVFfZC1u |
The problem is we'll never get a real decentralized internet because the majority of people would rather pay for bandwidth and electricity with their data than actual money.
That's also the reason why people will use S3 over File. It's not really about people paying with their data over money, it's about how easy it is was made to use, and that's the easier option right now.
Decentralized is more expensive and currently annoying AF for folks to interact with.
File is going to be great for businesses and nice for personal developers to experiment with for their projects though.
I'm pretty bullish on File for a few reasons. I'm a developer and know how expensive object storage can get in theory. File has good utility to save some dough if you're savvy enough. But more importantly though, I'm bullish because I don't think "The Internet Archive" and other piracy adjacent sites are going anywhere.
I think piracy has a history of winning, and it's only a matter of time before someone builds a decentralized Netflix that's clean and works properly and no one knows who to sue because no one will know where the servers are lmao. With inflation and growing economic concerns people need to cut spending every which way, and decentralized piracy options will likely grow in popularity. | r/filecoin | comment | r/filecoin | 2025-04-10 | Z0FBQUFBQm9DbVhRbkxYZFR3ZTlEVVhDbFJHT1pPeG54eFNhRDc3amt4RnVHbS05dWZibEd5NnVyNlRDWWxuQlRNSHFCZGd5UG9PZUwtTkQwdEozNUJrM2c2eEF0Q3ZYZkE9PQ== | Z0FBQUFBQm9DbVhRdENHekZiU252LTJveS1BdXFaUmRBd2Q2OTNZcWZ5RlN4SGUtSzk2TjRXTnNuYUViX05CdHQxWTQwRkROMXRHU25JQVRNR3VncWdDRUVrUGlUekZZX3F3UHJZOTF2MjVXSFdhTDNibGROcXk0S2dBVGY3R29KY2hJTWdDU0ZsU3dmUlBlZFlJalJ3MWdtQ25nSDV4am5jRXpIZ0p2UGFUR2dSaW1tc0s0Q2J2V2NLTVlRS3RSRjdnQkJ1cmRXbTlJS1NZX0ppb0dsRmNxSzlDeTUzT3QxUT09 |
Still buying. Bought another 3k (CAD) the other day, and will likely do it again next week or so whenever I feel like it. Not really concerned with price right now, but my average is about yours. | r/filecoin | comment | r/filecoin | 2025-04-10 | Z0FBQUFBQm9DbVhRemNBTHI3SGpyT3ZnWTlQUVh0d2VWX2xNQXRORnE0SW0yV1o1Yl9TTGxZem9XbUIxSElSc1ZJTFp2VExfSUxNQmJtVU5fRzhBWE9CaWNFSFF6NTYxN2c9PQ== | Z0FBQUFBQm9DbVhRZVZCV2tMRF81d3A0N2VsMjZfdlFFWk1FaGpFR2pUMEZHc0VNNTFIYWFjZWw3Y0RLeHJGV3NUenFLd25COThCNDZUQXFLS1hsdWtNb0Zlbzk3WXJNRUhhUWRDZ1RSczV1bUotdzVuZnZLUldEcHNlSS1US1JHRUFubW9yVXdmY0JhWmY3NlVGbUc0SkViTkRhTFZaOW04b3JRNUdWQUhuUGhaNjhTeHp5MXY3VlRiRWN3SkFteFJmbXJKVXJKYVFH |
The extreme volatility is actually what I like about Filecoin. It seems like you see jumps of like 70 cents CAD every week on an asset that's only a few bucks, it's crazy.
I certainly get that mentality though. | r/filecoin | comment | r/filecoin | 2025-04-10 | Z0FBQUFBQm9DbVhRYWVCLXRLckVqdkt5Q2ViR3Y3SzJaYlltbWxQcjNhRzd5YmpOQzdfbkNaaHpNdEtzYW1CbFcxX2VCcFhqTm41cnktXy1xUUtzUlJUR1U4bUhsMDRvM2c9PQ== | Z0FBQUFBQm9DbVhRMTdyeGx6VmdSWjI4eFEtNDJuMFctSUk5dzI4MTJ4SjcxQ3E4eUoxWDgycnBlZUpRY2pMcDFId2RQNERadmZnNXkwX2YxSl9IZzMtOWtCRmlLN1VJR3NNQU1UU1VuTkJXTjZ1bm1rQVVCaWIzUkV1VmFkMmE4SVJvOXpmRTNhVVBWWmVYV2NkNEdVUkFkaXJDM3hsOTRIX0oyMW1BUFRpZk9ZbUNsc0gwY3F2WHhBc01jOWpBSEhvN212X1hrSWZN |
FYI, if you have HP / Aruba / HPE network hardware with a lifetime warranty (that includes a lot of their switches), the company has some ‘data issues’ in their warranty entitlement database. This is usually caused when you have a switch replaced under warranty as they don’t seem to have an effective process for making sure the serial number of the replacement device shows up in all of their systems. If that device subsequently fails and you open a case to have it replaced, they’ll treat you like you’re trying to scam them into replacing a gray-market device you bought through an unauthorized reseller.
Here are some suggestions to save yourself grief in the future:
1. Attempt to import all of your HP / Aruba / HPE devices into the HPE Networking Support Portal (NSP). If a device can’t be imported into the NSP then open a support case to have them add the device to their database. They will likely assume it’s a gray-market device and refuse to help. At that point you’ll need to loop in your HPE account team to force the issue.
2. Every time you receive a warranty replacement device, attempt to add it to the NSP before the RMA case is closed and escalate the ticket as necessary until the device is successfully added.
| r/networking | post | r/networking | 2025-04-10 | Z0FBQUFBQm9DbVhRMnN5TUtiU3poUWtBU3QwZHhPTWczOUVLOExkRHk4dVZHS3VqMW15V25qTU9jRDRTUjBYLXN6c1pYcHduQ0FhaFRMR1hyZEdXc2lKZ1JSam5Jd2llZ0RhdzdCdUVvdnVtVUJnS2ltNDBXQ0E9 | Z0FBQUFBQm9DbVhRcERhNFNhZkNpYm5nakJtUlBHV0x6OTBHNGs2QlZKYjhCenZaMmlpRlhkUE81YnhCR3Y1OUF3R1J4RmxUSjd1NWg0c0NuTTdfRlF2N1hkd2hyb3lIYnJfODM3Q0dMMUJ6Uk9jNGNmLU9DdEpUeDk0ZlpNMWhBaC1zSC1SNTBUMTdQd1NWdDlZVTZyZkxQZlBRMnNXZnFIV1BmQUlVOVp1dEVqS3VvbUJZaVNNUHZzZm1xRnRCOVdZYURwQ05pdlFa |
Edit** Since many people have messaged me asking if this individual would appreciate me sharing their career….. this is public information that can be found on the company site and on their LinkedIn.
Question in title. Any insight on how someone progressed through the ranks of a large organization incredibly quickly. Their career timeline went from graduating college to being responsible for 10,000s of employees and multi billion dollar budgets in 15-20 years.
Clearly they are excellent at what they do, but how much of a factor does luck play? It’s hard to wrap my head around thrm being at a position for 1-2 years before they progressed.
Obviously there won’t be many individuals like this, but if you were around someone like this, what made them different?
Their career timeline is attached below.
2017 – 2018
Senior Vice President, Commercial Strategy
2014 – 2017
Senior Vice President, Resorts and Transportation
2012 – 2014
Vice President, Disney’s Animal Kingdom Park
2010 – 2012
Vice President, Adventures by Disney
2008 – 2010
Vice President, Finance, Global Licensing
2006 – 2008
Vice President, Sales and Travel Trade Marketing
2004 – 2006
Director, Business Planning and Strategy Development
2002 – 2004
Director, Global Sales & Sales Planning and Development
2001 – 2002
International Marketing and Sales Director
2000 – 2001
Manager, Business Planning and Strategy Development
1998 – 2000
Senior Business Planner, Operations Planning and Finance
| r/careerguidance | post | r/careerguidance | 2025-04-10 | Z0FBQUFBQm9DbVhRTUpUaG9kOF9kRm80ZnpzNGtVaGZpUHNGRnl6WXVEZmZyZ3g5YU9XaTFUOGZBTW4zaklXd2c4M1c4TmZEclhGeS1TVmV6RG5qQ25sRDVwNEdJYnl3UEE9PQ== | Z0FBQUFBQm9DbVhRZ3dPbGk2VV9RYmdnci0xX3pmVnBEbFRNa1RobkY5NWZkdG52bmREU3o5WXFTSVAtc3NlYXA5SUpIWGpOeXRwaXRYQ3R6NGNjZENoN2FlQk85SzJqRGUzMXVtUzBGSndIa0xaUmY0Q3BsV0lYdHI1R2ZzRndoWkVzdld1MHp2TjBNZnFoTTBmR1Q1eVpsTlpzRDZBeW53VW5LM0k5MXVSS3c4QndxRkNib1VQakZHZndXbWhwODZ6RnVYam5DZzk2LWZ5Mkk0OEhkRFNiQmo4ZUVRV3puUT09 |
For context, I run a startup that has raised funding, and employs a bunch of people.
Every Software Engineering position we advertised for got 200+ applications. We're not even a reputed company so the volume of applications is a bit annoying to handle so we have to filter by something.
1. Filtering by degree is a non starter, many of my best hires don't have CS degrees and have added to our product in exceptional ways. Plus many of the CS grads we interviewed didn't even know what basic stuff was like git or react which any basic junior developer should know by now. Also even if we did filter by degree, how do I know which uni is good and which is bad - I would have to bias my self heavily there.
2. I think Leetcode and algorithms are horrible for web dev tests so no I don't like using these. Timed coding is not a useful measure of anyones creativity or competence
3. We tried doing a reading test and going through the code through a standard interview process but people who can read code and people who can go the extra mile and add creative features to our product are completely different beasts
4. We have a take home that has worked wonders - we give the candidate wide latitude on how they want to build it and we've found a lot of creativity in the solutions we've received and the quality of submissions has helped us significantly narrow down to who we want to hire
5. The interviews are much much more enjoyable when people go through their own solution to take homes, people have insights into our product that we didn't know or certain ways to do features that we wouldn't consider etc
Since people think Take homes are unpaid labor - which I agree to an extent- how would you shrink the pool from 200 applicants to say 5 we want to interview? Open to suggestions on improving the process | r/webdev | post | r/webdev | 2025-04-10 | Z0FBQUFBQm9DbVhRck9kdDdLVFlRSThkQVR5M2ZEbmk5Vk5IdG9LTG8wWVBfQlNJVDJwV18tVlNzVVRCdTcxdll5eHJtVlFFcENyM2JOalRfa25XeHhwN0ltOTNhZVNiZWc9PQ== | Z0FBQUFBQm9DbVhRZFpTaHlXUGZqVm1PQ2RQVmxQN3FWRmpjQ3d3aXhkV25aREI4VmJIVVBSUDdUTjd5bnBoTEZsUjBGSXdBQkQtYlBGTDNnLXpMVFNlMUFNQkZkSUgya1hnanFEb1YzTTE1d0JGVnNzelRCRTlnSVdrZ2I4Z3o0NGtYYnJDQXJNOWlfMjlaUG9UTS1CSEdiMjA4XzRFdG52ZlU1ZVF0NEIxcHRTeURhZ3ZVZk1obUpTRVBfTTFKYjZhcUxQZE4wNkVW |
It's | r/neoliberal | post | r/neoliberal | 2025-04-11 | Z0FBQUFBQm9DbVhRd2tVZGEzWUl6emczbERnRGhBVTkzaEtzb3VCcERMX09CQUlYTHBMNVh2TWVMZTc0aG4yRDdaa0otTEZONkc1WkFxN3ZmbHZhQnotWWhtbGwzT3V4WnZWemFkZE5EeEo4TzlERUI0TTQ2Qmc9 | Z0FBQUFBQm9DbVhRbVpXZm5wRnZ5aVhOc0tBbTdNSE1XNDNpYkdrV1MzdkNLNC1zYXphU0M4RmtUT1l4VDZiaHNSMTA5QjNNLTNfMGJtZVVZQUZ6eU9YbDRNRHRfUFpPSlhfdlpDMDItQkJmUFVxWTN0WE5Vc2tRa0NQa3BXSXIwME1DbWVqUWp4SzFyZEtSbUhoT0xCWkZPWlhNdXlGVkVqaTM1RVEyMWtEX0ZjNTF3cTlVVGdvPQ== |
I've been using copilot autocompletion and chat for my latest project, little do i knew that in a couple minutes i would have had all my day work written with AI, i thought this was not bad because i was writting along with copilot autocompletition but after finishing "writting" a react component and starting the next one, i decided to test my knowledge. So i created a new tsx file, deactivated copilot autocompletitions and... I was not even able to correctly setup types for props by myself...
I was completely frozen, like if my head were turned off, so then i realized that there is no point on using AI to even learn, i thought that by using AI to write some of my code so then i could analyze it and learn from it would be a better way to learn than documentation or reading code from codebases.
Most of the time doing something the easier or fastest way doesn't end up well and this is an example of that
After writting this i'm going to cancel my subscription and learn by the more "traditional ways".
Have someome else experienced this lately? You solved it? And if so, What are the best ways to overcome this new trend of "learn with AI and become a senior developer"
I'm sorry for my poor english, not my main language | r/learnprogramming | post | r/learnprogramming | 2025-04-11 | Z0FBQUFBQm9DbVhRbm5sZXE0LW9HMlhuakdoWmZPRkdyMzBKb3k5NnE2aVA1QkJQQk02cWczOGFTNU1EeDQ0SEZSd1FCY1lQSS1iWW1fVm9LYlBuRFc5cGExOG85dDB3V2t5dW1BVDBfZEZlWVBIc3ZPczhRbG89 | Z0FBQUFBQm9DbVhROVVIRlJiNVBxOHdQbG1zN2RRYVRHQ1NORURVSzl1VUtPZXFQYkl3cVcyemJPSkUtWC1Tckt0dFhFdVBzSXJYNTBtbHJoY3dEdE5XdklWcGpIUmVXUEpxLUtCOV9oVlpleHByZXRTWDlOb3BvV3VuVHFOekgzbnpxcFpxYmllRW5FWHo5cmV2OHc4RUpKanFXVmRGRFZJQTY4Z1R6NE8tZ3gwOGNuOU9kc0FrM0sycUxXOGVnQ210WF9ObEhUU0tZbGhEUHdSQ092UHNwYkg1bmc3dlRTUT09 |
Great. How many coins do you have in total? | r/filecoin | comment | r/filecoin | 2025-04-11 | Z0FBQUFBQm9DbVhReU1KZXJUWkhvQ0VfOEhCd0FLcmpKaTkycVhTb1BMV1hsZHQ0Z0hSeWYwdERUWUJjZ0tqNC0zZmd4Q3kxWlpKR2VCM1VoYnNmOWNfR2NSajFQYUJFUmc9PQ== | Z0FBQUFBQm9DbVhRdlNnVW1YbmJ0MzNIY2lhVWdBRU1YcEpIVC1PTjhVUUR0RVJHLW9DQl9qblA1Qm9sakVxd0ZBMGN0dXNFTHh4c3E5S0dQLXVoTFdMR1dwVDczankxR19tSFNmeDNhb0hyMzRQV3FaT0FSNlg0bWFwZncyeUlMRXU0aWR0TnZQT3I1d0NndDBXVl9ScksyQXhBZXF0N1E1b3kxdW85MExxcjBxNHEtUmdRdkNKWkVmYVpPQkgzVG9kMmc4bWNfQm9K |
Ath would be really cool | r/filecoin | comment | r/filecoin | 2025-04-11 | Z0FBQUFBQm9DbVhRel93cFY3cU9xeFVtOHMzXzNEN3R2MGVpT21uZlhIQ0wzRDk1UUI2M1p3UDdhZmh3c3BqYmtzSlhKc1hIZU9VVHk4S3p6OUljbEx0ekZOVV96TW1RRkE9PQ== | Z0FBQUFBQm9DbVhRV05nTmE2UmlnaFdDbTM5QkU2aDJMTXlScUhIY1o1MENOVkQ2c3VRcVNLM3dfUHV6VEJsc2t4YVdRMmpTWHdVMXE1dXpIdllzam1rVFhWaXVEVDQ2TmxfRjNpdk9IcUltYzZ6a2l4cVduQjl1b0s0SEU4c0NWTnpDTXRGR3c0eTgtM3RsbXBDb25INU45UmNMVFU1c0p5S2twVFNPR3QtcmVQdDRoRDE1X08wVnJrQkpUVktyR2xJeTRJcXNrTF9LOVZzNHV3UW5zSTBFdGhDblB6djFIQT09 |
First off, I would like to preface this with saying my condolences to those who have incurred any losses lately. It has been a very volatile week, and I know many friends and family who have suffered heavy losses in their portfolio and are stressed/anxious for the future to come. With that, I would like to share my experience betting against the American economy by holding one of the most volatile stock for 6 months, UVIX.
As many of you may know, VIX is an index that grows rapidly when the market reverses from a peak. I personally witnessed this during Covid (when TVIX rose almost 2000%) and the recent "Yen Carry Trade" of August 5th (when UVIX rose 400%). I've always aspired to time the market successfully with UVIX.
Last year, I felt that the economy was overextended for many reasons. You guys may not agree that these are factors to what led us here, but these are why I ended up taking the biggest risk of my life with such high confidence that the market would crash short-term.
\- US National Debt: We've reached a staggering $36 trillion debt, a large increase of 8 trillion post-covid. To me, this was a huge red flag indicating a looming recession, especially since the market was still pumping.
\- AI Bubble: I think AI is heavily over-hyped, and the rise of NVDA/Tech stocks were not really warranted. I saw this as a bubble bound to pop, much like the dot-com and housing bubble of 2008.
\- Terrible job market: I think we've been experiencing a bad labor market across all sectors for a while now. Employers look to make lay-offs/cost cutting in order to artificially inflate profit margins to boost stock prices, which is not sustainable. I do not believe the numbers released by the Feds at all, they seem suspiciously low compared to real-world experiences of people struggling to find work. This article was one example:
[https://www.nbcnews.com/business/economy/us-added-818000-fewer-jobs-thought-adding-concerns-economy-rcna167555](https://www.nbcnews.com/business/economy/us-added-818000-fewer-jobs-thought-adding-concerns-economy-rcna167555)
\- Suicide rate is apparently one of the leading indicator of a struggling economy: In 2024, we reached one of the highest rate in the decade [https://www.usnews.com/news/health-news/articles/2024-09-26/u-s-suicide-rate-climbs-back-to-highest-in-decades](https://www.usnews.com/news/health-news/articles/2024-09-26/u-s-suicide-rate-climbs-back-to-highest-in-decades)
\- Trump winning the presidential election: I was aware of his tariff plans during his campaign, and I knew that if he actually did implement these, it would shock the market. It was only a question of if he would actually deliver on his campaign promise or not, which he did.
With all these reasonings in mind, I had a 90% confidence that the market would crash soon, so I YOLO'd my whole portfolio into UVIX after election.
https://preview.redd.it/ovma6m9vj3ue1.png?width=1093&format=png&auto=webp&s=dd719e0b6d0ff7892d07461aa3eae2312d52caea
Holding this ticker was mentally tough, the market kept rallying from 580 to 620 post-election, and my position was decaying and I was holding a -200k loss for the vast majority of the time. Many people discouraged my position, and some think I should cut my losses. I even isolated myself for a while because I was so sure of my bet. There were two moments when I could have sold to break even: Federal reserve announcing no future interest rate cuts and Trump's initial Canada/Mexico tariffs. But UVIX didn't rise as much as I anticipated, so I kept holding.
https://preview.redd.it/e5e6xfsxj3ue1.png?width=512&format=png&auto=webp&s=9f45917088fa769ca5123420f1fec427851fbb2f
Fast forward to last week, Trump announced a severe blanket tariff, which crashed the market as we know it. This was finally the moment I've been waiting for as UVIX went from $20 to $100 in the span of 4 days. I kept my eyes on the news, set my alarm to 6 am to watch the market open. UVIX could rapidly drop/rise in matter of seconds, and I did not want to sell too early/late, so I was shedding 1k shares a day to be safe. 1k at 70, 1k at 90, 2k at 100 on Tuesday. At this point, I had 3k remaining, and I was hoping that UVIX would maybe rise to 140, but then Trump sent out the tweet that he's basically cancelling the tariffs, which shot the market back up, and plummeted UVIX to 40, luckily I was able to salvage and sell at 56 on the way down. It wasn't quite the finish I was hoping for, but overall, I did get to gain roughly 250k off of my 400k bet.
https://preview.redd.it/k4bzie1sk3ue1.png?width=1093&format=png&auto=webp&s=f788c3fce00964a3a5e9f9202b6db85d3f5bda4a
Now that I've been able to cash out on the big -20% SPY crash I've anticipated, I am completely out of UVIX for now. Even if the market continues to fall, I have full confidence that we'll eventually recover back to our previous 620 ATH, so I'll be DCAing into SPXL/TQQQ from this point on until we reach that price.
https://preview.redd.it/8j48yvnul3ue1.png?width=1093&format=png&auto=webp&s=b68d62402c4fdc3ec905d7c036fcd3cee5ff37f1
In the end, I would not encourage anyone else to do what I did. Even with my conviction and accurate market reading, I had to hold UVIX for 6 months, which ended up being one of the most stressful thing I could do. I've lost sleep, became disillusioned with the economy/government, and absorbed more bad news than I could handle. I've internally cheered for bearish news, despite knowing it could mean hardship for many people.
I was somewhat lucky that Trump did indeed enact his tariffs, otherwise I may have been stuck holding a decaying position until it went to zero or was delisted.
In the end, I'm just relieved that I could finally exit my large UVIX positions, and I will never all-in again the way I did. I hoped you all enjoyed my perspective/story and I wish the best of you luck in navigating this volatile market. | r/wallstreetbets | post | r/wallstreetbets | 2025-04-11 | Z0FBQUFBQm9DbVhRQ2liajVYbnRjR1lQUUhHMjVIYWJ5NUhWejFZZFN3aXVGN0xhRlJyVUNaYk9qek5PcFVLZDlyVTBwTmJXSC0yeExLU1hhc29WS3BpemFOMkJLOWdfMmc9PQ== | Z0FBQUFBQm9DbVhROEptNFFCSmFTMkVyUC10ZnlSY1h3djJwSWdKMUhYbXlIeXhiU24zRWhnSkNfQW9TZVIzQmo4SVZwWk5nQklqcVFfVWxlTlVUbVdJSHlZdVJ5SXdnVXhmam5yWGFKVGxZdldOMmJUNVMxdXF6V0NOV3BxaGEwMnBGUU1hLXI3cThzbU9rUjZISU5vNlJJR1JzR2VXVkxmMWltRHNPS0w3eTg0blI1QjZ2WHViWUdsWl9RNFdXbzRFcmEta296azljSFpYcGQ0T2lDcDVXS0V0c0ROWTQ0Zz09 |
Pretty much what the title says. I have a year left in my PhD and no industry experience because I didn’t realize I didn’t want to go into academia until grad school. I’ve had no luck finding internships the last 2 summers and have gotten one interview (which went well but is currently radio silent) after about 200 applications. I realize the problem is likely with my resume, but I’ve shown it to people and they said it looked good. I have a lot of research and programming experiences and plenty of small side projects, plus publications and a patent. As far as I can tell the problem is that I’m not experienced enough with engineering for engineering roles, and have not published in enough top conferences for research roles. So my applications just get rejected. Not really sure what to do here. | r/cscareerquestions | post | r/cscareerquestions | 2025-04-11 | Z0FBQUFBQm9DbVhRYVlyd3F4QWlFdVpfdFQyUXUxV2FQTlU4Q2UyX0Zma3ZpNjJfZ3dQa1BYLXR3SENSamczZ2VrbE5idVhCZjVwbnBPVFVlN2R0UlV2LXdYTThTeWYxTnc9PQ== | Z0FBQUFBQm9DbVhRbUxFM3BNbUhqcnktNFQyamp1UmZrWUZ6UGM5MTRDQU5MMmJjTDN5TzZSdlBFUFJQck1KdDZrdWg4VnU5aXhwSWpCNklORHBoVTM2NEFpU1pLZGhWeHAyeEMtRVEyOVBGOFVuNFh0VEo2cXJrcXZYQXpmUEJRN2Z2TFZmQXRuenUyYWJmbmpZVklSc3RXMEFRWHBJR1VHVHB4WUVkYVNjVTZZZ0pRLXBvaVNFRDJ3cy1lUFhXOUxRUWVTSF80TEZ6Z3dmVWx5NW9TdF9TOVVqSU9lVHVDQT09 |
My predictions are based on long term targets and technicals. If we maintain price of where we are now then i will have two targets (giving estimates and not true targets)
1st target: above $250
2nd target: above $1000
The signs are there that we are going to crypto and it will be mainstream, utilization will go up and common practices will be adopted with storage of data being one of the Main components of the value this coin has. | r/filecoin | comment | r/filecoin | 2025-04-11 | Z0FBQUFBQm9DbVhRd1NlMVEweEVHSDhzZzlod2RRVkU4b29ONTR2MDNZZTNxVDlyODRybmNuNHlIdC1Sa3h2ZHlzb3VacHlHZElzdkkwYUVueEVTVTNoZUhMeGhuaEZ4RXc9PQ== | Z0FBQUFBQm9DbVhRUTR4U0VsMkJCNXhhUWpWRGl3ODFSZUpQZ1BGWUh4bW44RWZmUDYxYS1GR19UMjJWQTBqSGx3MjhMM0xwUktpQ1h2aHlQWWJxT09TVXBxWTZGMXlwVmxPbkU0UXQ0djNmazBvdDRvM0pSdGxJb1pMLUU4X2ljUXFGX0xMelFvbG9oMnluV0FfSkFhUkh1MFNpa2YtQmw3aGMwRXdlZTlLRHFpY25vUnE2WWIwcVFna092cU05c3JXZWpSeEZVYmZtVElYbkVMRHk2eXdfSXF4bDdQSHZDdz09 |
I personally don't share specifics of my financial positions online, but the value of my FIL is in the low five figures. I'll probably continue to buy some more though. I'm pretty bullish. | r/filecoin | comment | r/filecoin | 2025-04-11 | Z0FBQUFBQm9DbVhRWUhENnpnbnZNNHFROFd0Vkd4WjFnbG9fMExoUWFPTThvc0pHcm5QeXhpeGxzTnFxYUVjUXgtRXdSQ2s2QTR3RUpFbUJEd0l2b2R6eGpCaklFREQ3MEE9PQ== | Z0FBQUFBQm9DbVhRSFI3N1FlVlYtRjFIc2dIZ2VzRDUtdGNGU0xUdkQ0SklpSENjQVUwNXhKMmFLaWRXajdFS3dfSGotbTFGUWh1dzBEWFRHeEdRYnVxNjhWczhhdlprZjN1NFdNeDRCTF9fQnlaeHJ5MDNwQXVNUDZoSkhzVWtseDRCT0VybnNKRkRRQmhYRGFtelFiTGg0b3QtWU55S08xNkF3NURzX1VkSXY4YjREOE9wMU51OHM5bFhya09lZzlxcHUxcEZvOFBl |
I’m a relatively new convert to HPE/Aruba from Cisco having spent a lot of years in IBNS2 and ISE, but finding myself stuck on why mac-based auth on my lab setup is not triggering auth immediately.
I’ve found the majority of ArubaOS (no CX yet) and ClearPass straight forward and easy to work with but I can’t actually tell if this is the switch or ClearPass.
801.x works fine but I want to add mac-based to cover unknown endpoint use cases plus cover the typical printer and other non 802.1x devices . When I connect the test win device that I’ve deliberately deleted from endpoints it fails as per my policy, but mac auth doesn’t kick in for ages . I’ve followed what I thought was the right config based on the 16.11 access security guide too . Any tips ? | r/networking | post | r/networking | 2025-04-11 | Z0FBQUFBQm9DbVhRQnNvMG53cU1xR2pRWWpBYURsZlFOcVM5dFVydTZTWXBRUVlFclhER19hRU1rVWxqa2tZRjZ1N3pOZ1JrWEtJQkoycW56Sk00LXd5Zk9Cb3B1NlVoMXc9PQ== | Z0FBQUFBQm9DbVhRcjRBbEhrTGl4U0kzRUp0RG1zUWNDcFhhTnROVEFjN3FjZFV3V3lBMlk1Z2t6VG43bEZyTVhFcXZuMWcwWGxBX3g0OWZjMWItZGoxSTBUd2U3WmlKZWlLRUNzckF5Q1RUcEdNcjBfQnZUWlpGQlJ4WlBTSm5jWHRiRGRJV2tReUctYjFEbVVjMHd0S2FFZzdJaXVyR0ZQQmhVa1VteUJHSXRUUEp3ODdWUFJnPQ== |
[https://www.investopedia.com/etf-vs-investment-trust-8386101](https://www.investopedia.com/etf-vs-investment-trust-8386101) | r/bitcoincash | comment | r/Bitcoincash | 2025-04-11 | Z0FBQUFBQm9DbVhRcHNCSUlhbm1kU0dpWU05VWtKaHZDaGh6TW54ZE53dEROQWZ2QmNtNHdjekR1VzJuMUYzbUg5NDh4U2Q3YU1hU29ZeWx1Z3ZvZFY3MjNKUXZ5MHVJRkE9PQ== | Z0FBQUFBQm9DbVhRZFUwbWtma3ZkLU1RZ3Z5X1gtaGJzSVB2eGh4amxIa1hiQTB3eGxYXzBGZjV5LWM1Y3ltbDhVV2NVZGRkc2JJV3RuNDU4eElsQ2hFc3M5WTRvbWZJdTh2RkZubzdtd3N5OUU5UEh4dG9xdko0YnN6MmZ2LUhlS1NaNV9qLU9kQzFQd1ZfZ2I4OUI3WjFJdXBkY3ZtTE01VTVSeF9nR25NTWlER09oQk5UYnowaTNmWkpCZjBkZnowU0VieU5HRHp4bmRDSjNURl92TFlFaXZxV0loZ0pLdz09 |
Hey everyone,
So I’m in my 2nd year of college and recently landed a backend engineering internship. It sounded super exciting at first—cool tech stack like WebRTC, Mediasoup, AWS, Docker, NGINX, etc. The internship is 4 months long, and we were told the first month would be for training. I was really looking forward to learning all this industry-level stuff.
Well… that didn’t really happen the way I thought it would.
They gave us an AWS “training” on literally day two, but it was just a surface-level overview—stuff like “this is EC2, this is S3,” and then moved on. Then like 4 days in, they dropped us into the actual codebase of their project (which is like a Zoom/Google Meet alternative), gave us access to a bunch of repos, and basically said, “Figure it out.”
I was still pumped at this point. I dove into the code, started learning the tools they’re using, and I even told them I’m still learning AWS but I’m 100% willing to put in the effort if someone can guide me a bit. I wasn’t expecting hand-holding, just *some* support.
Then came this task: me and another intern were asked to deploy one of their websites on an AWS EC2 instance. Sounds simple, right? Yeah, it wasn’t. It involved changing environment variables, working with existing instances, setting up Docker containers, and doing a sort of “redeployment” on a live setup. And we weren’t even trained for any of this.
It’s been three days now, and we’ve been stuck. Trying to figure things out through tutorials, trial and error, asking questions. But the people assigning the task just keep saying “This is a simple task, you should be able to do this.” No real help, no troubleshooting, just passive-aggressive comments about how we’re not capable if we can’t get it done.
They say they want us to “learn by doing,” but at this point it doesn’t feel like learning—it feels like being set up to fail. Oh, and they also want us to document the entire experience, like a reflection on what we learned… but how am I supposed to reflect when I’m stuck the entire time and no one’s guiding us?
What’s really messing with me is that this wasn’t even part of the actual project work. This was just some side task they threw at us. Meanwhile, my college work is piling up, my sleep schedule’s shot, and honestly, it’s getting hard to stay motivated when it feels like I’m not being given a fair chance to succeed.
I’m not afraid of hard work. I *want* to learn. But this whole “sink or swim” approach with no support is just burning me out. And it makes me feel like if I fail at this one task, they’ll label me as someone who doesn’t know AWS—which isn’t even fair because I’m *literally* just starting out.
So yeah, I don’t know. Maybe I’m overthinking it. Maybe this is just how things are. But it’s starting to feel more like they care about the results than actually mentoring or helping us grow.
Has anyone else been in a similar situation? Is this normal? Or are they actually just mishandling the whole internship thing? | r/learnprogramming | post | r/learnprogramming | 2025-04-11 | Z0FBQUFBQm9DbVhRNnZIZHVOZmxSSllDWXZUSlYyQS1GdHBRdnh1MzB2M2VpQjVEX1JwX0tPWnZQak42dWVlOFFqdHFlQXV6RzktNHpSc253eXhrRGJiTFBsS3VuNE5xb2c9PQ== | Z0FBQUFBQm9DbVhRMUFHcTJla1JmdVE3Yk1zMi1KWVFoUzlNajJfQU04cG13bmhsNHpIVGFzdW9pN2xWZjdYNU5JT1g0eFU5OHdVd2JFOTluUVNxbzgtT05LVTRXd1Q5UXZUcnBETVZjUGtCRFVCNXJrYkRSTXJUb3JGZExYd1lqQWFpWDFsOVE0MUZjdGx3VXlfM0JXczMyWnI4YnBsdDFxdmE1eFRzTk5Vb2FhVFZIVkk1TnVHX3kyRE5mSlVlS3dyY09OVVh6OXZsak5scERCRHpPUmV4N05QOTJwdVJpUT09 |
TLDR my friend recommended me to try [SalaryScript](http://salaryscript.com). Apple and Amazon gave me around $40k to $66k additional TC but I got $83k more with the Meta offer so I accepted that one. Thanks all for the suggestions
I’m in a bit of a crunch right now, and I need some advice. I have a few big tech offers on the table and need to make a decision in the next couple of weeks. So far, I’ve received offers from Apple, Meta, and Amazon, and the total compensation packages are looking great. Here’s a breakdown of each:
# Apple: Senior software engineer
Location: Cupertino
Apple was my top choice at first. Not the highest Comp but there was definitely room for negotiation.
* **Base Salary:** $300,000
* **RSU:** $132,000 per year for the next 4 years
* **Bonus:** $21,000
* **Total Comp:** $453,000
# Meta: Senior software engineer
Location: San Francisco
Meta made an offer that I didn’t expect to be as good as it was.
* **Base Salary:** $170,000
* **RSU:** $275,000 per year for the next 4 years
* **Bonus:** $50,000
* **Total Comp:** $495,000
They offered a larger stock grant and increased the bonus to compete with Apple’s offer.
# Amazon:
Location: Santa Monica
Amazon was very aggressive in getting me to sign quickly. The only thing that is holding me back is their toxic culture. Their stock options were a huge part of the offer.
* **Base Salary:** $250,000
* **RSU:** $272,000 per year for the next 4 years
* **Bonus:** $10,000
* **Total Comp:** $532,000
Now, I need to make a decision soon. The numbers are all great, but I’m wondering if there’s a resource, or a negotiation framework, that can help me maximize my offer in the next few weeks. Does anyone have tips, tools, or services that have helped them land even bigger offers or negotiate more effectively? I need to get this right, and I’m feeling the pressure with such a tight deadline.
Has anyone used levels.fyi's negotiation service? It's really expensive so I'm wondering if there are any alternatives out there. | r/cscareerquestions | post | r/cscareerquestions | 2025-04-11 | Z0FBQUFBQm9DbVhRNU1PVXFXT01xUUdESktrRDBtU184VE5ybXl2RjNOcEFleXB0amY0TGxoeFotdGliS0pWM2lLN0xORmU4OW14Y05CNVJ4LVp2SVdfcVpNelZpUFhSSmc9PQ== | Z0FBQUFBQm9DbVhRbktsYVJfU2pOMVYtSkFkMlo5bmczS2VLWHpTcDJaTy1QSWQ5bUlhQTdPVWFSdV95ODBJOUw3UTV1WjZTeXFWM29iZVFDSTZRVHB4MjF4a2JrNjEwczF1Z0d0YjdHWm4tY1EtYlVXVGxWYjZJS21vOEVRODdYcUhyWlBmN2lxaTE2anVreDdMVFFSbXZxRWFHNzRLUUdGckpfOVB1bEdMOUkwYWZxQXoydTZCMjVxWk1yYjFYMlJYQlNzd0MxSnZPU1FXWTJRQVUwdl9FbHFTcjVJVlBQQT09 |
The market feels dead, CT is full of doomers, and people are calling for lower prices. But every time sentiment gets this bad, it’s usually when smart money starts loading up. Not saying I’m going all in, but history shows that max fear = solid entries.
| r/cryptomarkets | post | r/CryptoMarkets | 2025-04-11 | Z0FBQUFBQm9DbVhRbDg1YmFBNkJPb0JsNWNhT3hvclV3TG45cnp2QnROWENyS0dONHVHY0RWOWUyTDBsRndmR195ZEViTGpYUUZRTkZaTlhRa0lyZ19MNU9lVm4tZGhRanc9PQ== | Z0FBQUFBQm9DbVhRd1ptcjM5MmRManh4U254dkFUM0xmOTVlMVl0OUVKaGFxMFdlcXZtVF9HWXI4MTJ5NjVBNVkzM2k2dkcwU0x0V1VKaGFZSk1wTXhqU1N3S3ZnWDhmQ0NHcWFmSzZRaENYaHhsQW5TNmlFSk9FdmY2dmRQYTB1bkFncmtmVEtUcC14aDJOUHRCU1MydUl0aVpLRjIydVgxVWstaUZ3NkVOR3VWY1JsNkJBTENlVDU4VVRPTWt4M0FHaDU3dHlITDdaXzh6QlNzRjBRaFJ3bFBjWGdRd2JEZz09 |
The concept of "[creative destruction](https://umatechnology.org/insights-on-creative-destruction-and-technology/)," coined by economist Joseph Schumpeter, highlights the cycle of innovation that distrupts established industries, paving a way for new ones. Is it government's place to manage the cycle's consequences?
One one hand, shielding existing industries from creative destruction can preserve jobs, maintain economic stabiility, and protect communities reliant on traditionals sectors. As an example, government subsidies for coal mining aimed to safeguard livelihoods in regions that depend on fossil fuel industry. But many suggest such interventions often came at the cost of stifling innovation and delaying adoption of more cleaner more efficient technologies.
On the other hand, embracing innovation by investing in supporting infrastructure has lead to long-term benefits, such as increased productivity, improved standards of living, and emergence of entirely new industries. The rise of the internet, revolutionized commerce, media, and entertainment. But it rendered many traditional businesses obsolete.
Below are excepts from the linked article that touches on creative destruction within automotive and healthcare:
>**Autonomous Driving**: Companies like Waymo and Uber are exploring self-driving technology, potentially rendering traditional driving models and even car ownership obsolete.
**Telemedicine**: The COVID-19 pandemic accelerated the adoption of telehealth, resulting in clinics and hospitals re-evaluating their operational models. This shift has made healthcare more accessible but could also endanger traditional healthcare practices. | r/politicaldiscussion | post | r/PoliticalDiscussion | 2025-04-11 | Z0FBQUFBQm9DbVhRVHlfamQwNGFBNjdwTElfOUQwQktZSldSUmhPU3RrZ1l0VzdrNUZMWmFZX0tEdXMzOXJsT3RMM2dOa0J3Wlpac1VqeS1ZM2ZXUWVVb0NiTEtKbEZvMlE9PQ== | Z0FBQUFBQm9DbVhRSWJ1MkltT3RqV2ZITGZ3eldLYkVIZFZVWnZ1aWhxU1ZCT2JkV3RYc2NOQS1FU0ZnYjlVWEwyXzVnZjV3MzNKVU5SbVhhYm13SWVEY0M0aGlFSGhYOTJQXzRDZndubXdPQmxCVFFvSmFaMVpnZFRwSWFlS1BGSlJaY0V6MzFTbHVnbUNuMGxYaTR1bXRLcUE5ZFBSR0Z3aDlIejVVZi1NbzRkX3NsalVYTnFscVdFcE4zbmU2UFRyMkY0dVRnT3JHS3NhVmdlNEItaXFweG1JSWxQSXdLUT09 |
Hey everyone! I'm one of the researchers behind **ZClip: Adaptive Spike Mitigation for LLM Pre-Training**.
ZClip is a lightweight and adaptive gradient clipping method designed to **reduce loss spikes during LLM training**. Instead of relying on a fixed threshold like traditional gradient clipping, ZClip uses a **z-score-based approach** to detect and clip only abnormal gradient spikes—those that significantly deviate from the recent moving average.
This helps maintain training stability without interfering with convergence, and it’s easy to integrate into any training loop.
🔗 **Pape**r: [https://huggingface.co/papers/2504.02507](https://huggingface.co/papers/2504.02507)
💻 **Cod**e: [github.com/bluorion-com/ZClip](https://github.com/bluorion-com/ZClip)
Would love to hear your thoughts or questions! | r/deeplearning | post | r/deeplearning | 2025-04-11 | Z0FBQUFBQm9DbVhRd0VJcEtDWmdoeXhEZnVOTV9vdnYzVnRlZDBQSHEzcE9sYlJPbjU2OUFKRnFVbDk0VU5rWUt1YlMwamU4V2VvSEo1TktRVE5yeEJQZ2FoeC0wOXlFRGc9PQ== | Z0FBQUFBQm9DbVhRX0FiNWZEX1REeG1nRVAtS2NEUXlqSmItbmJpYTdRZW9OaEVGTDZjQVdjZldUaGprQldBODdfMVVjekhRRlEtV3VlNm5UcWtqeVl6T0dHZGRYdU1BdHhSbUhROUN4RU9uRTVnMllTS0lwMDEtNXg4SXFxa09CLTN6VVJfTW05UHJKakE0YzhFa01hQzlPZVRiN1NQQmhaeEZ0ZHBiZTdBczFOMWp5OG1JMGVhY192YmFzNlVUYnJpZ2p6eUJQeUUw |
One reason why science, including AI development, advances as rapidly as it does is that researchers share their advances with other researchers by publishing them in journals.
Imagine if this collaboration was extended to the content that LLMs generate, and if end users were invited to participate in the improvement and sharing of this content.
Here's how it would work. An LLM makes a mistake in reasoning or accuracy. An end user detects and corrects it. Think of this as RLHF fully extended beyond the development team to the global public.
The next step would be an automated mechanism by which the LLM tests and validates that the new information is, in fact, more accurate or logically sound than the original content.
That's the first part. Now imagine the LLM sharing the now corrected and validated content with the LLMs of other developers. This may prove an effective means of both reducing hallucinations and enhancing reasoning across all AI models.
I asked Grok 3 to describe the technical feasibility and potential challenges of the idea:
Validating the corrections automatically is a critical step and relies on sophisticated mechanisms. For factual errors, the LLM could cross-reference submissions against trusted sources, pulling data from APIs like Wikipedia or leveraging tools like DeepSearch to scour the web for corroboration. Retrieval-augmented generation could help by fetching relevant documents to confirm accuracy. For reasoning errors, the model might reprocess the query, testing the corrected logic to ensure consistency, possibly using chain-of-thought techniques to break down the problem. To bolster confidence, multiple validation methods could be combined—source checks, internal reasoning, or even querying other LLMs for consensus. In tricky cases, human moderators or crowdsourced platforms might step in, though this would need to be streamlined to avoid bottlenecks. The goal is a robust system that filters out incorrect or subjective submissions while accepting high-quality fixes.
Once validated, incorporating corrections into the LLM’s knowledge base is straightforward with modern techniques. Rather than retraining the entire model, corrections could be stored in a dynamic memory layer, like a vector store, acting as overrides for specific queries. When a similar question arises, the system would match it to the corrected response using similarity metrics, ensuring the updated answer is served. Periodically, batches of corrections could be used for efficient fine-tuning, employing methods like LoRA to adjust the model without disrupting its broader knowledge. This approach keeps the system responsive and adaptable, allowing it to learn from users globally without requiring constant, resource-heavy retraining.
Sharing these validated corrections with other LLMs is achievable through standardized APIs that package corrections as structured data, easily hosted on cloud platforms for broad access. Alternatively, a centralized or federated repository could store updates, letting other models pull corrections as needed, much like a shared knowledge hub. For transparency, a decentralized system like blockchain could log corrections immutably, ensuring trust and attribution. The data itself—simple question-answer pairs or embeddings—would be model-agnostic, making integration feasible across different architectures. Yet, the real challenge lies beyond technology, in the willingness of developers to collaborate when proprietary interests are at stake.
The resource demands of such a system are significant. Real-time validation and sharing increase computational costs and latency, requiring optimizations like asynchronous updates or caching to keep responses snappy. A global system would need massive storage and bandwidth, which could strain smaller developers. Ethically, there’s the risk of manipulation—malicious actors could flood the system with false corrections, demanding robust spam detection. Despite these challenges, the core idea of testing and applying corrections within a single LLM is highly feasible. Tools like RAG and vector stores already enable dynamic updates, and xAI could implement this for Grok, validating corrections with web searches and storing them for future queries. Periodic fine-tuning would cement these improvements without overhauling the model.
Sharing across LLMs, though, is less likely to gain traction universally due to commercial realities. A more practical path might be selective collaboration, such as within open-source communities or trusted alliances, where corrections are shared cautiously, focusing on clear-cut factual fixes. | r/deeplearning | post | r/deeplearning | 2025-04-11 | Z0FBQUFBQm9DbVhRNEU3Tl9MR1ZtLVBoVHhqbzlPWHhoZk5VQzVuYUtVd0VxOXNWdnhsMjVkZzdNd2VtMWY0dk9kV3dSeG95V3hvWndTV0xRc0wtMktuejMyeVhELVhGSlE9PQ== | Z0FBQUFBQm9DbVhRdXBSdmhJVmtCV0Z1QWU3LWxGTXZEczQxU3ZsdzVMRFhreFE5bEtTQzJKNzZkOUpiNFFFUEZfMmY1WTV1UmFkVnY0U3p0ZkNUc0xOZ0FiSFI5WFlGTWNERWxPOU9wMGVIbl8zdXF5R1NCQmNRM0swemxZM0p6bk9WTFl2UkF1eG1DQnFJa0IyVi16TWtWTXNsREpQN0pyTGRydEJvUXJMUnNhTERNTFI0eXQ2S1pjeUloOFUwMnpWMWZkNjJTTFVOWncwQmpMeGNjTWpsOTZHb1M5R0REZz09 |
Great, the person setting national policy for education keeps saying "A1" instead of "AI". Typical of the unqualified, ignorant political hacks in Trumps cabinet. Only one dumber is their boss. | r/liberal | post | r/Liberal | 2025-04-11 | Z0FBQUFBQm9DbVhRQjdwaWJMc0FFajA0NU5fcDhmT3g0dzk4bnFzWlVnMGh0Y0lSSktQOHg2OU02UUxLZEdtbXdfYWE4QVdTNFlnS09Gdjk3el9pbDRmRlhBdXh2Z2RZLTB3NFIweWE4Z2JDb041OWJnMzl5eEk9 | Z0FBQUFBQm9DbVhRcENCQzZrMUpBaXZVYkpfY2JlQk1BNmVUbjRKZmtaZm5jeGZ0SENHZk1RUjB1Qi1nTkNqeE15bGJ5bVFHSlRJcy1YeDhManh4RWQ0anhTd1I1YkduRXlDUGxWNDhsWDU4aXM4QjVIU3dTNi1mYk16MnUyUXdMMEFOWkN2d3BBdnd4SVZvOHZzaWhEV1VDSGUtQWpvZlZ2NWRlMmFybzJROVFuLVA3SzEwY2Z5ZUk1dHJNRE1WZ3kwa0l2b3lweXlxY0JsYl9laDFsRWNXbkVFZC1sa295dz09 |
I came across a clever approach for detecting how word meanings change over time using specialized language models. The researchers developed a pretraining technique specifically for diachronic linguistics (the study of language change over time).
The key innovation is **time-aware masking** during pretraining. The model learns to pay special attention to temporal context by strategically masking words that are likely to undergo semantic drift.
Main technical points:
* They modified standard masked language model pretraining to incorporate temporal information
* Words likely to undergo semantic change are masked at higher rates
* They leverage parameter-efficient fine-tuning techniques (adapters, LoRA) rather than full retraining
* The approach was evaluated on standard semantic change detection benchmarks like SemEval-2020 Task 1
* Their specialized models consistently outperformed existing state-of-the-art approaches
Results:
* Achieved superior performance across multiple languages (English, German, Latin, Swedish)
* Successfully detected both binary semantic change (changed/unchanged) and ranked semantic shift magnitude
* Demonstrated effective performance even with limited training data
* Showed particular strength in identifying subtle semantic shifts that general models missed
I think this approach represents an important shift in how we approach specialized NLP tasks. Rather than using general-purpose LLMs for everything, this shows the value of creating purpose-built models with tailored pretraining objectives. For historical linguists and digital humanities researchers, this could dramatically accelerate the study of language evolution by automating what was previously manual analysis.
The techniques here could also extend beyond linguistics to other domains where detecting subtle changes over time is important - perhaps in tracking concept drift in scientific literature or evolving terminology in specialized fields.
TLDR: Researchers created specialized language models for detecting word meaning changes over time using a novel time-aware masking technique during pretraining, significantly outperforming previous approaches across multiple languages and benchmarks.
[Full summary is here](https://aimodels.fyi/papers/arxiv/pretraining-language-models-diachronic-linguistic-change-discovery). Paper [here](https://arxiv.org/abs/2504.05523). | r/neuralnetworks | post | r/neuralnetworks | 2025-04-11 | Z0FBQUFBQm9DbVhRQ1o4NHZJOWFFQUV4QVVYYlN4eFEzR0t5eFAxSmtoQ2o1blYtX2FTOWNBcUtrbl9mdFFCSVljemI2SkJ2NlEyaTR5N05rcTFaWDJLTUNzbzItaXo0dGlKQkV0SVRKS2tkQk42MWQyT000SDQ9 | Z0FBQUFBQm9DbVhRZXFVRjFnRlU3N190LXdJUWt1azhQZFBVcmdHejdfOGtJZVdXZk44ZTBILUJCcGtaenJzYnlJQVJ1ZVN4V0VUcVBJSlhSZ1dQSmpVR0RHZmw0RHlPVjkwS1F4Q08ycDAwUGVweUZWck9SWURxbTdpYjhiN2FwN0xacXI4OHN6Y3dkREFxdnN3NkFDLXMwa0FOeWNOV3ZQZTcwal9nWnhzUmZuUEx1ai1kYXZzV3ZSbzk2OXFUQ0JCZThsbWl5aDdxNGxLVGZnRF90LWE3MGkwOV9EYmYxdz09 |
This is the weekly Monero market thread. This thread will be posted every Friday and is meant to help accelerate the adoption of Monero. Due to r/moneromarket having only a fraction of the subscribers of r/Monero, we have decided to create this thread to encourage more individuals to use Monero for product exchanges. Until the market matures, we recommend that the Monero community post their products both in this thread and on r/moneromarket (to ensure growth of that subreddit).
Selling items for Monero will boost your (and Monero's) reputation as a legitimate form of exchange of goods. This is necessary for the growth of Monero, our community, and privacy as a whole.
## Instructions
When you post your product or job listing here, please make sure to:
- Give a description of the item.
- Link to a photo of the item (if it's physical).
- Provide logistics information (such as, location and/or shipping availability).
- Optionally, provide an additional (private) form of communication outside of Reddit (e.g. Bitmessage, u/protonmail, u/tutanota, GPG key).
- Post the price in XMR terms.
Spamming will not be tolerated. Please make sure that listings are legitimate and do not break rule 2."
Finally, credits to cdotsubo for starting the concept! | r/monero | post | r/Monero | 2025-04-11 | Z0FBQUFBQm9DbVhRZTNfekZnNEpkMjViUjZnOG85SEVfc005WHUxNTl5LUpHV3ZsdzBrdWoteC1QUUY1bGhLVFY4Z2hGRVV3ODhpRlJERktZbjA4TUNNd3F6RVcxZG5qY2c9PQ== | Z0FBQUFBQm9DbVhRc2RLdlBJaGRWdTBxMHVvWUE4eE5lNlZXYkxLQVRtN1BRZFNtOGZuRFY5SlR5UndrV2pJdExtc0RuNmp4czNtLUhISW41MFhya0F0MUhPU01ja0d1U1hWMWpZc3BaOGFWT2d1a1Zua2xYSURiekJQU1NXOVhya3VTUDZGajAwT2N4MlhVQTFJOGMyT1RIV0JscEV1WmRrUG9qSFdraXhfTWRHVGlRNk82aV9JalMxZk5DY1J3dGhPS24zTFlCU1F0 |
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