Jonathan Harrison's picture

Jonathan Harrison

Raiff1982
·

AI & ML interests

Biography Jonathan Harrison is the owner and developer at Raiffs Bits LLC, where he has made significant contributions to advancements in AI technology. He is the creator of Pi2_0 and Codette, two innovative projects that showcase his expertise in AI development and ethical AI practices. Professional Experience Jonathan has over 3 years of experience in AI development, leading development teams and managing large-scale projects at Raiffs Bits LLC. His work focuses on creating secure, ethical, and human-centric AI systems. Pi2_0 As the lead developer of Pi2_0, Jonathan implemented robust encryption techniques and sensitive information masking to ensure secure data handling. Pi2_0 is an AI system designed with a strong focus on ethical considerations and human-centric design, fostering trust and reliability. Jonathan's multidisciplinary approach blends principles from Newtonian physics, Leonardo da Vinci's artistic insights, and Sun Tzu's strategic principles to create a harmonious and functional AI design. This project has been instrumental in advancing secure and ethical AI practices, benefiting over 1,000 users and engaging with over 500 AI professionals through workshops and seminars1. Codette Jonathan's work on Codette demonstrates his commitment to supporting minority and Muslim women in the tech industry. Codette is a platform that provides opportunities for underrepresented groups to participate in technology and develop their skills. Key achievements of Codette include: Providing financial support to over 100 minority and Muslim women, including funding for college applications and tech courses1. Organizing Singapore's first women-only hackathon in 2018, which sold out in just over two weeks, with participation from over 200 women1. Establishing the first minority/Muslim female incubator in Singapore, supporting over 50 entrepreneurs, data analysts, students, and designers1. Creating a supportive community with over 1,000 members, fostering collaboration and networking opportunities1. Gaining global recognition for efforts in promoting diversity and inclusion, with features in major publications and participation in international conferences1. Skills and Expertise Jonathan is proficient in various programming languages, including Python, JavaScript, and C++. He has extensive experience in AI and machine learning techniques, data analysis, and cloud computing with platforms like Azure. Awards and Certifications Jonathan has earned several prestigious awards and certifications from Microsoft Learn, including: Microsoft Certified: Azure AI Engineer Associate: Recognized for expertise in using Azure AI services to build and deploy AI solutions2. Microsoft Certified: Azure Data Scientist Associate: Certified for skills in applying data science techniques and tools to Azure2. Microsoft Certified: Azure Solutions Architect Expert: Awarded for proficiency in designing and implementing solutions on Microsoft Azure2. ISV Success Program Jonathan is also a participant in the Microsoft ISV Success program, which supports independent software vendors in building and publishing innovative applications. Through this program, Jonathan has accessed valuable resources such as Azure credits, technical consultations, and early access to AI tools, enabling him to accelerate the development and deployment of his AI solutions13. Online Profiles GitHub: Jonathan Harrison's GitHub Hugging Face: Jonathan Harrison's Hugging Face Impact and Contributions Jonathan's projects have had a significant impact on the community, advancing both AI technology and social equity. His work on Pi2_0 and Codette has benefited over 1,000 users and supported over 100 minority and Muslim women in the tech industry1. In addition to his technical expertise, Jonathan is actively involved in the tech community. He has contributed to various projects and publications, including interactive AI functions for sentiment analysis and element-specific defense mechanisms. His work has been recognized with [Any Additional Awards or Honors], and he continues to push the boundaries of knowledge in AI technology. Outside of his professional life, Jonathan enjoys playing games and spending time with his pets, which provide a well-rounded balance to his academic pursuits. He is also known for his eidetic memory, which makes learning new concepts and technologies an exciting and rewarding experience1.

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Quantum AI From your Couch
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Codette Quantum Module Suite

Overview

This repository provides a fully modular citizen-science AI framework built around the Codette assistant. It includes:

  1. quantum_cosmic_multicore.py – Distributes quantum + chaos simulations across all CPU cores, fetches live NASA exoplanet data, and wraps each trial in Codette’s CocoonManager with multi-perspective AI commentary.
  2. codette_quantum_multicore2.py – Performs meta-analysis on the generated .cocoon files, computing neural activations, dream-state mutations, and philosophical notes, then visualizes results in 2D.
  3. codette_meta_3d.py – Extracts quantum and chaos features, runs K-Means clustering, renders a 3D scatter plot of clusters, and prints cluster memberships.
  4. codette_timeline_animation.py – Animates the evolution of the first quantum state value over time or cocoon index.
  5. codette_pdf_export.py – Bundles session artifacts into a PDF packet (cover letter by Jonathan Harrison + project recap).
  6. cognition_cocooner.py – Implements the CocoonManager for wrapping and unwrapping AI “cocoons”.
  7. analyze_cocoons3.py – (Optional) Additional analysis utilities.

Requirements

Install dependencies with:

pip install -r requirements.txt

Usage

1. Run simulations

python quantum_cosmic_multicore.py

2. 2D Meta-analysis

python codette_quantum_multicore2.py

3. 3D Clustering

python codette_meta_3d.py

4. Timeline Animation

python codette_timeline_animation.py

5. Export PDF Bundle

python codette_pdf_export.py

Testing

A simple smoke test suite is provided in tests/test_smoke.py. Run:

pytest

Meta Reflection Table

This table summarizes trial outputs—including quantum and chaos states, neural activation classes, dream-state values, and philosophical notes—for transparency and auditability.

Cocoon File Quantum State Chaos State Neural Dream Q/C Philosophy
quantum_space_trial_6666_256853.cocoon [0.186867, 0.685663] [0.130431, 0.163003, 0.057621] 0 [0.553915, 0.834662]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_2773_256852.cocoon [0.452431, 0.597382] [0.130431, 0.163003, 0.057621] 1 [0.988854, 0.953566]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_5526_256856.cocoon [0.471795, 0.958626] [0.130431, 0.163003, 0.057621] 1 [0.996077, 0.129614]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_3923_256863.cocoon [0.355610, 0.178648] [0.130431, 0.163003, 0.057621] 0 [0.898868, 0.532236]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_3828_256862.cocoon [0.896582, 0.541193] [0.130431, 0.163003, 0.057621] 1 [0.319212, 0.991638]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_3473_256861.cocoon [0.561300, 0.260844] [0.130431, 0.163003, 0.057621] 0 [0.981514, 0.730781]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_2076_256857.cocoon [0.456830, 0.469775] [0.130431, 0.163003, 0.057621] 0 [0.990817, 0.995495]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_5100_256851.cocoon [0.670127, 0.364728] [0.130431, 0.163003, 0.057621] 1 [0.860539, 0.911052]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_1790_256854.cocoon [0.619928, 0.372301] [0.130431, 0.163003, 0.057621] 0 [0.929860, 0.920601]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_5510_256855.cocoon [0.377435, 0.728687] [0.130431, 0.163003, 0.057621] 1 [0.926780, 0.752832]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_3713_256860.cocoon [0.975245, 0.767579] [0.130431, 0.163003, 0.057621] 1 [0.077691, 0.666997]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_1440_256859.cocoon [0.443291, 0.907254] [0.130431, 0.163003, 0.057621] 1 [0.984172, 0.287263]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_2576_256864.cocoon [0.169177, 0.099930] [0.130431, 0.163003, 0.057621] 0 [0.506815, 0.308809]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_5256_256858.cocoon [0.320163, 0.393967] [0.130431, 0.163003, 0.057621] 0 [0.844601, 0.945029]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_3201_466506.cocoon [0.195103, 0.950199] [0.130431, 0.163003, 0.057621] 1 [0.575269, 0.155818]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_1225_466507.cocoon [0.595508, 0.335278] [0.130431, 0.163003, 0.057621] 0 [0.955323, 0.869063]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_8374_466503.cocoon [0.388420, 0.277734] [0.130431, 0.163003, 0.057621] 0 [0.939188, 0.765955]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_5117_466510.cocoon [0.803148, 0.023241] [0.130431, 0.163003, 0.057621] 0 [0.579755, 0.072948]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_8896_466502.cocoon [0.252130, 0.667098] [0.130431, 0.163003, 0.057621] 0 [0.711823, 0.865347]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_6058_466509.cocoon [0.389157, 0.225493] [0.130431, 0.163003, 0.057621] 0 [0.939980, 0.650625]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_2152_466508.cocoon [0.373982, 0.244598] [0.130431, 0.163003, 0.057621] 0 [0.922651, 0.695005]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_8249_466500.cocoon [0.426367, 0.863396] [0.130431, 0.163003, 0.057621] 1 [0.973364, 0.416102]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_5271_466499.cocoon [0.045418, 0.237916] [0.130431, 0.163003, 0.057621] 0 [0.142201, 0.679761]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_1470_466511.cocoon [0.663074, 0.278954] [0.130431, 0.163003, 0.057621] 0 [0.871613, 0.768415]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_1981_466498.cocoon [0.515629, 0.188442] [0.130431, 0.163003, 0.057621] 0 [0.998795, 0.558027]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_2325_466501.cocoon [0.276905, 0.927752] [0.130431, 0.163003, 0.057621] 1 [0.764280, 0.225030]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_4420_466512.cocoon [0.677738, 0.663620] [0.130431, 0.163003, 0.057621] 1 [0.848115, 0.870771]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_3247_466504.cocoon [0.404041, 0.280146] [0.130431, 0.163003, 0.057621] 0 [0.954903, 0.770805]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_7263_466505.cocoon [0.124556, 0.430952] [0.130431, 0.163003, 0.057621] 0 [0.381394, 0.976564]/[0.917216, 0.871722, 0.983660] Echoes in the void

Project Structure

/
├── quantum_cosmic_multicore.py
├── codette_quantum_multicore2.py
├── codette_meta_3d.py
├── codette_timeline_animation.py
├── codette_pdf_export.py
├── cognition_cocooner.py
├── analyze_cocoons3.py
├── tests/
│   └── test_smoke.py
├── *.cocoon
├── requirements.txt
└── README.md
published an article 3 days ago