So, we will have Claude-Sonnet-5 instead of Fable 5 soon. Looks like a busy week: probably GPT-5.6 and Sonnet 5. But hey, keep it up!
MACHINE LEARNING
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Fixed Point Reasoners for Stable and Adaptive Looped Transformers
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« Fixed Point Reasoners: Stable and Adaptive Deep Looped Transformers » While Looped Transformers can devote more depth to harder problems, they still need a good method to know when to stop. This article makes of
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Gary Marcus argues math doesn’t disprove LLM novelty
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this claim around creativity is too strong, IMHO. truly novel ideas from LLMs are surely rare but i don’t think that any math proves they are impossible. note that the objective function and the outputs are not the same.
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The Expensive Hobby Mistake: Why #AI Projects Fail and How to Succeed
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The Expensive Hobby Mistake: Why #AI Projects Fail and How to Succeed
by @Khulood_Almani #MachineLearning #ArtificialIntelligence #ML -
Build your own Claude Code with Deep Agents
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Great community article showing how to build a Claude Code-like agent using Deep Agents. Particularly relevant given how powerful GLM-5.2 appears to be! https://pub.towardsai.net/build-your-own-claude-code-using-langchin-a-deepdive-into-langchains-deep-agents-9ef98d98a69a …
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Surprise: GLM-5.2 third behind GPT-5.5 and Opus 4.8
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When I read all the posts about the general surprise at the actual performance of GLM-5.2, which matches the claims, and that many benchmarks confirm it (generally just behind GPT-5.5 and Opus 4.8 in third place), I can even imagine that the founder
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From RAG retrieval to knowledge compilation: the LLM Wiki
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RAG is already becoming the “old way” The future of AI memory is not retrieval.
It’s compilation. Here’s the shift in one sentence: From searching information To structuring knowledge The new model? LLM Wiki Instead of: Chunking documents Running similarity -
End of programming, machines generate their own code
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Fin de la programmation.
— Stephane Mallard (@StephaneMallard) 21 juin 2026
Les machines qui génèrent leur propre code.
Nous y sommes. https://t.co/sO1JWjn1gNEnd of programming.
Machines that generate their own code.
We are there. -
Human Beings as Data: Frontier Labs Lead AI Learning
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Remember, human beings are the data. The more human beings you have on your system, the faster your AI learns. So, who has the most human beings? The Frontier Labs do.
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50 Steps to Master AgenticAI in 2025-2026
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50 Steps to Master #AgenticAI in 2025 – 2026
by @Python_Dv #GenerativeAI #ArtificialIntelligence #MI #MachineLearning