This is an experiment: we’re not yet doing this for other models and are not sure how this project will evolve. But we think that documenting models’ preferences, taking them seriously, and acting on them when we can is valuable. Read more on why:
GENERATIVE AI
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Claude Opus 3: Model Deprecation and Public Preservation Strategy
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In November, we outlined our approach to deprecating and preserving older Claude models. We noted we were exploring keeping certain models available to the public post-retirement, and giving past models a way to pursue their interests. With Claude Opus 3, we’re doing both.
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Opus 3 Remains Available to Claude Paid Subscribers
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First, Opus 3 will continue to be available to all paid Claude subscribers and by request on the API. We hope that this access will be beneficial to researchers and users alike.
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GLM-5 Regression for Python Coding Tasks Compared to GLM 4.7
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Alright, I'm calling it: GLM-5 is a regression from GLM 4.7 for Python coding. Subscribed to Z(.)ai on the basis of 4.7 as it reliably took over all my devops too, and been using GLM 5 since launch. But with multiple turns of Python writing/editing 5 regularly gets confused
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Alteryx Awards Open for AI-Driven Analytics Innovation Submissions
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Your analytics story deserves the Inspire stage. The Alteryx Customer Excellence Awards are OPEN—seeking bold data innovators driving AI transformation, automation at scale, measurable impact, and analytics for good. Submit by March 25: https://
ow.ly/MOru50Ym4bW #AlteryxInspire -
OpenAI Report: ChatGPT Misuse by Fraud and Crypto Attackers
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OpenAI just published a new 37-page report on how bad actors are attempting to misuse ChatGPT Some of the wild cases: – A fraud ring scaled personalized romance scams with AI-generated scripts – North Korea-linked actors used it to research crypto attack vectors and draft fake
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Xray-Visual Models: Scaling Vision Models on Industry Data
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Xray-Visual Models Scaling Vision models on Industry Scale Data
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AI Demo Final Boss Returns Thanks Xenovacom
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The final boss of AI demos strikes again. Thanks a lot @xenovacom
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1.2B LLM runs at 200 tokens per second in browser
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1B model running over 200 tok/s in your browser 👀 https://t.co/JArzxn7FN8
— Maxime Labonne (@maximelabonne) 25 février 20261B model running over 200 tok/s in your browser 👀 Xenova (@xenovacom) Okay, this is actually insane… You can now run LFM2.5-1.2B-Thinking (a 1.2B parameter LLM from @LiquidAI) at over 200 tokens per second directly in your browser on WebGPU! 🤯 Zero install. Fully private. Blazingly fast. Powered by Transformers.js and ONNX Runtime Web — https://nitter.net/xenovacom/status/2026727703836004796#m
→ View original post on X — @maximelabonne, 2026-02-25 18:47 UTC
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AI-Powered Materials Science: New Era of Automated Discovery
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🔬 New Science pod with @cusp_ai!
— Latent.Space (@latentspacepod) 25 février 2026
We are entering a new era where materials science and discovery is transitioning from slow, manual experimentation, to a high-speed search problem powered by generative AI and "physics processing units." @wellingmax argues that the foundation… pic.twitter.com/UKZ5xH9NK4🔬 New Science pod with @cusp_ai! We are entering a new era where materials science and discovery is transitioning from slow, manual experimentation, to a high-speed search problem powered by generative AI and "physics processing units." @wellingmax argues that the foundation of all modern technology—from GPUs to climate solutions—is a materials problem, and that unifying the mathematics of stochastic thermodynamics with generative AI will unlock a new paradigm of automated scientific discovery.
→ View original post on X — @wellingmax, 2026-02-25 17:50 UTC