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README.md

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 title: SSM Blog Posts
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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+<b><p style="text-align: center; color:red">Une version en français est disponible sur mon [blog](https://lbourdois.github.io/blog/ssm/)</p></b>
+<br>
+
+October 7, 2021, while wondering whether [AK](https://hf.co/akhaliq) was a bot or a human, I saw one of his [tweets](https://twitter.com/_akhaliq/status/1445931206030282756).  
+A link to a publication on [open-review.net](https://openreview.net/forum?id=uYLFoz1vlAC) accompanied by the following image:  
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/613b0a62a14099d5afed7830/QMpNVGwdQV2jRw-jYalxa.png" alt="alt text" width="800" height="450">
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+
+Intrigued by the results announced, I went to read what this S3 model consisted of, which would be renamed less than a month later to [S4](https://twitter.com/_albertgu/status/1456031299194470407) ([link](https://github.com/lbourdois/blog/blob/master/assets/efficiently_modeling_long_sequences_s3.pdf) from the version from when it was still called S3 for those interested).  
+
+It's the only scientific article that gave me goosebumps when I read it, so beautiful did I find it. At that time, I was convinced that State Space Models (SSM) would replace transformers in the following months. Two years later, I'm forced to admit that I was completely mistaken in the face of the tidal wave of LLMs making the news in NLP.  
+
+Nevertheless, on Monday December 4, 2023, the announcement of Mamba by [Albert Gu](https://twitter.com/_albertgu/status/1731727672286294400) and [Tri Dao](https://twitter.com/tri_dao/status/1731728602230890895) aroused some interest. The phenomenon was accentuated 4 days later with the announcement of [StripedHyena](https://twitter.com/togethercompute/status/1733213267185762411) by Together AI.  
+A good opportunity for me to write a few words about SSM developments over the past two years.
+
+I'm planning three articles to start with, where the aim is to illustrate the basics of SSM with S4 (the "Attention is all you need" of the field) before carrying out a literature review of the evolution of SSM since that first paper:
+- [Introduction to SSM and S4](WIP)
+- [SSM evolutions in 2022](WIP)
+- [SSM developments in 2023](WIP)
+I hope in a second time, time permitting, to go into detail about the architectures of some specific SSMs with animations ✨