15K daily downloads for flash-linear-attention is impressive. Becoming core infrastructure for efficient architectures is something!
@whats_ai
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Splitting Instruction and Thinking Paths in AI Model Optimization
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Splitting Instruct and Thinking makes sense, the use cases are genuinely different. Curious if this means they'll optimize each path independently or if there's still a shared base.
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Meta-Learning Loops and Catastrophic Forgetting in AI Systems
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Curious how the meta-learning loop handles catastrophic forgetting in practice. Compaction is really an important feature to invest a lot on!
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User expresses interest in Capybara AI model adoption
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I hope this is true. I'd be a fan of using the Capybara model!
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Latent Space Mechanics: Vectors Transform Through Neural Layers
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The latent space is not a database inside your model.
— Louis-François Bouchard 🎥🤖 (@Whats_AI) 27 mars 2026
You can't open it. you can't edit it. you can't inject facts into it.
When words enter an LLM, they become vectors.
These vectors get transformed again and again across many layers.
All those intermediate representations =… pic.twitter.com/pyoO7hsEk9The latent space is not a database inside your model. You can't open it. you can't edit it. you can't inject facts into it. When words enter an LLM, they become vectors.
These vectors get transformed again and again across many layers. All those intermediate representations = -
Polynomial Fit Germany Map and BioML Model Growth
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The polynomial fit on the Germany map haha. Congrats on the bioML model, this space is going to explode in the next few years.
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Model specialization: temporary feature or fundamental architectural design?
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The specialization angle is interesting. I wonder if this changes fast with each model update or if it's a more fundamental architectural difference.
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Nature Publication V2 Reasoning Models Advancement Potential
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Congrats on the Nature publication! The fact that V1 was built before reasoning models even existed makes the potential of V2 with current models pretty incredible.
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China’s Open-Source AI Model Ecosystem: Insights and Developments
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94K views on a China AI deep dive, people are hungry for real on-the-ground insights. Would love to hear more about the open-source model ecosystem there specifically.
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Evaluation loops critical for self-improving AI agents
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Self-improving agents are exciting but the evaluation loop is everything. How do you make sure it's actually improving and not just drifting? 🙂