Wait until you see the Data Center I am going to build
AI
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Deep Learning with Python Now Free to Read Online
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I wrote Deep Learning with Python to be the definitive guide to how deep learning works and how to best make use of it. Tens of thousands of people got their career start via this book. 120,000 copies sold, and downloaded by millions more. And now it's free to read online:
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SambaHouse Sydney Open-Source AI Event with Equinix
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Sydney, see you soon We’re teaming up with http://
SCX.ai and @Equinix for SambaHouse. Live demos, real conversations, and builders working on open-source AI in production. Join us https://
luma.com/naweokci -
AI Industry Insights: The Central Role of Data
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Continual Learning Bench 1.0 is out, co-authored by @UCBerkeley & @SnorkelAI
, funded through Open Benchmarks Grants. A new benchmark for measuring whether AI systems actually improve over time. -
Google DeepMind TIPSv2 Boosts Vision-Language Dense Patch-Text Alignment
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Can vision-language models truly see the fine-grained details in images? Google DeepMind presents TIPSv2. They boost dense patch-text alignment using three novel tricks: a distillation method where the student outperforms the teacher, an upgraded masked image objective
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26TB AI Model Archive Preserved Against Potential Disappearance
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More than 26TB of models 🙂 Just in case they vanish from the internet
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LangChain Fleet Agents Now Support Multiple AI Models at Scale
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No longer are Fleet agents constrained to a single model.
— LangChain (@LangChain) 4 mai 2026
With multi-model support, you can build more efficient agents at scalehttps://t.co/YJI6Y7SjK0 https://t.co/5cK3wOOadiNo longer are Fleet agents constrained to a single model. With multi-model support, you can build more efficient agents at scale http://
langchain.com/langsmith/fleet -
AI Transparency and Cognitive Impact on Developing Brains Needed
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At the minimum, transparency in what queries lead to which outputs (interpretability), how this connects to educational principles/pedagogy, more evidence of how this may impact cognition, especially of developing brains, in the short, medium and long term.
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RLHF requires pairwise comparison, not thumbs-up/down
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The thumbs-up/down buttons aren’t for RLHF. The HF in RLHF is selecting the better of two outputs for the same prompt (or, if you have more than two, ordering them best-to-worst). Pointwise data (thumbs, star ratings, etc.) generally doesn’t work well AFAIK.
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Grok 4.3: 10x cheaper, close to frontier models
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Grok 4.3 is literally 10x cheaper than GPT-5.5 or Claude for token output costs. It's also shockingly close on benchmarks (or better in some long-horizon agent tests) to the frontier models.