Mistral started well but they could not compete vs the US and Chinese models and whilst I wish @Aleph__Alpha well I am not convinced they will manage to compete with the SoTA either nor scale to widespread adoption. But happy if they prove me wrong.
@deeplearn007
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Europe’s challenge to build frontier AI models
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The challenge for Europe is to build AI models that challenge the frontier State-of-the-art (SoTA) like the US and China are able to.
— AI (@DeepLearn007) 4 octobre 2026
However, competition from s a good thing for the end user and do @Aleph__Alpha is a welcome addition https://t.co/3W5o1e16Y5The challenge for Europe is to build AI models that challenge the frontier State-of-the-art (SoTA) like the US and China are able to. However, competition from s a good thing for the end user and do @Aleph__Alpha is a welcome addition
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Recursive Self Improvement AI arriving sooner than expected
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Recursive Self Improvement (RSI) Artificial Intelligence- RSIAI on its way and far sooner than many realise
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LLMs will autonomously handle more work, shifting humans to oversight
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“ As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding.”
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Thoughts on Griffin and the Turing test for AI
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Thoughts on Griffin and the Turing test for AI ? https://t.co/1bSNI4g2NS
— AI (@DeepLearn007) 2 octobre 2026Thoughts on Griffin and the Turing test for AI ?
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Opus 5.5 rated better coding model than Sol 6.1 or Astra
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Agreed. As you have pointed out in another post watch out for nerfing of Opus 5.5 but yes Opus 5.5 is the better coding model vs Sol 6.1 or Astra.
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Model comparison: Astra and Sol beat Anthropic on code review
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I am a heavy user of both. Where Astra, Sol 5.6 and 6.1 still significantly and materially beat Anthropic models is code review and bug detection. In the real world Opus 5.5 and Fable 5.1 miss many bugs on large code bases.
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AI has powered Google search since 2001
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You’ve been using AI via Google search since 2001 only you just did not realise.
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GLM 5.2 disproves AI winter, suggests US leadership winter
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Not an AI winter at all GLM 5.2 proves this and instead this may be a self-inflicted US AI leadership winter @AndrewCurran_ @pierrepinna @Zai_org
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Chinese models efficiency with MoE and open source vs proprietary AI
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Is there also not a driver in Chinese models have more efficiency w/ MOE and other innovations in open source stack vs proprietary AI models? And also maybe because US players are providing data centres to most of the world?