Very cool! Any chance you could share the datasets or models on hf for the community?
OPEN SOURCE
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GGUF Quantization: 350M Model Uses Just 380MB
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Really tiny. We released GGUF quants, so with 8-bit precision and 4k context the 350M will use ~380 MB and the 1.2B ~1.4 GB (to give you a rough estimate).
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WebGazer.js Eye Tracking: Browser-Based Computer Vision
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Messing around with WebGazer.js for eye tracking Pretty wild what your browser can do with just a webcam https://
webgazer.cs.brown.edu -
OpenAI Releases Open Source AI Evaluation Benchmark Suite
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Read more at our blog and our paper, and visit http://
evals.openai.com to browse our open source subset. And if you’re interested in contributing, sign up here: -
Robotics AI Needs More Code and Data Transparency
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Something that's missing in robotics AI is the reflex from researchers and builders to share not only a video demo but also the code, datasets, policies, models or research papers for others to benefit from it and to show that what they did is not fake, staged or cherry-picked
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All AI models now available on Hugging Face platform
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All models are available today on @huggingface
! If you have a precise skill in mind for a task-specific model, please let me know in the comments! -
Model Release Enables Developers to Build AI Apps Locally
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I'm happy it's released, it was such a cool post-training project Now I hope that app developers can take these models and build cool stuff with them, with less reliance on costly and slow cloud models. There's so much to do, life is too short to optimize ChatGPT prompts!
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350M Math Reasoning Model Outperforms Larger Competitors
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Finally, another personal favorite: a 350M math reasoning model. It turned out to be an absolute beast, outperforming Qwen3-0.6B and MobileLLM-R1. Note that it's also trained to output short CoTs, as a continuation of our work in this blog post: https://
liquid.ai/research/lfm-1
b-math-can-small-models-be-concise-reasoners
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350M Model Shows Power of Fine-Tuning for Big Data
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It comes in two sizes: 1.2B and 350M I'm a big fan of the 350M model that can be used on GPUs to do big data operations. It's an absolute banger that shows how powerful fine-tuning can be
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ShinkaEvolve: Open-Source Framework for Scientific Program Evolution
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Proud to release ShinkaEvolve, our open-source framework that evolves programs for scientific discovery with very good sample-efficiency! 🐙
— hardmaru (@hardmaru) 25 septembre 2025
Paper: https://t.co/05rjMiSxOL
Blog: https://t.co/yjuvV0xpif
Project: https://t.co/DpSEScrAws https://t.co/2pmiPesV4KProud to release ShinkaEvolve, our open-source framework that evolves programs for scientific discovery with very good sample-efficiency! Paper: https://
arxiv.org/abs/2509.19349
Blog: https://
sakana.ai/shinka-evolve/
Project: https://
github.com/SakanaAI/Shink
aEvolve
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