
I liked the hallucination about me in GLM
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Exploring how collaboration can turn AI innovation into real-world impact. The France–India AI Partnership: Turning AI into Impact session at @VivaTech 2026 highlighted the importance of cross-border partnerships, research and industry collaboration in shaping the future of AI.

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Can't stop your LLM from guessing instead of reasoning? That's the abductive reasoning gap. Researchers from Nankai University, Tsinghua, and others introduce Graph of States (GoS) — a new framework that transforms messy guesswork into logic.

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There are papers that show training AI on "evil" data results in general misalignment, so it is nice to know the opposite is true and that beneficial RL data in one field leads to more aligned models across a range of tasks.

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Not sure, honestly. If that's the case, it wouldn't surprise me, it's quite common. Claude distills from the internet & potentially others, others distill from Claude,… it's just the natural development cycle. GLM 5.2 is >10 points better
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One of the key moments of the LLM era, ali g with GPT-3.5 and the decision by Microsoft to not take down Bing/Sydney/GPT-4 after the @kevinroose New York Times article.
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The major flaw is that it is blind – it cannot process images at all. If they fix that, then perhaps it could become the best model available in the world.
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Wow. @Zai_org GLM 5.2 is a marvel! It is *at least* as good as Opus 4.8 and GPT 5.5. It is super fast, inexpensive, and not too verbose. It responds with nuance and judgment, & handles long contexts very well. I have never known an open weights model like