Aaaaaaand official: codex in the ChatGPT mobile app!! Love it
— Chubby♨️ (@kimmonismus) 14 mai 2026
Codex is goated. I love it. https://t.co/CSU9mk9rrf
Aaaaaaand official: codex in the ChatGPT mobile app!! Love it Codex is goated. I love it.
MACHINE LEARNING
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Codex officially in ChatGPT mobile app, user loves it
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AEvo: A Method for Iterative AI Agent Self-Improvement
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// Harnessing Agentic Evolution // Pay attention to this one if you run iterative agentic search loops. (bookmark it) AEvo splits the self-improvement loop into two jobs: > One proposes the next candidate. > The other watches what worked, what failed, and edits the procedure
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Traces d’agents auto-améliorants pour modèles
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you talking about how traces of self improving agents can be fed into the retraining of self improving models?
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Job opportunity in continual learning research
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Jake will be working with a lot of folks on continual learning – if that’s interesting, reach out to him!
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OrthoReg: A New Method for Weight Disentanglement in Fine-Tuning
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What makes task arithmetic actually work? Researchers from Nanjing University, U. Wollongong, and NTU Singapore introduce OrthoReg: a simple method that enforces orthogonality in weight updates during fine-tuning. This promotes weight disentanglement and consistently boosts
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LangChain Labs launches focused on continual learning
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JUST IN: We're launching LangChain Labs. A new applied research effort focused on Continual Learning.
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GPT-5.5 solves Erdős problems, post-AGI research feels parallel
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GPT-5.5 has a certain magic about it. It solves one Erdős problem after another. this is what post-AGI research may actually feel like. Not one dramatic "AI solves math" moment, but dozens of parallel discoveries, anonymous contributors, formal proofs as trust infrastructure,
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New Course: Transformers in Practice with AMD
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New course: Transformers in Practice. You'll get a practical view of how transformer-based LLMs work, so you can reason about their behavior, diagnose problems like slow inference, and make smarter decisions about deployment. This course is built in partnership with @AMD and… pic.twitter.com/g8sCrC3sP5
— Andrew Ng (@AndrewYNg) 14 mai 2026New course: Transformers in Practice. You'll gain a practical understanding of how transformer-based LLMs function, enabling you to analyze their behavior, troubleshoot issues like slow inference, and make informed deployment decisions. This course is developed in partnership with AMD.
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New generative model research uses low-rank Nyström approximation for faster training
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Ali did some amazing work on the hottest new generative model: drifting models (from Mingyang Deng @Goodeat258 et al., out of Kaiming He's group).
— Gautam Kamath (@thegautamkamath) 14 mai 2026
Speeds up training a lot using low rank Nyström approximation. Check out Ali's full thread. Paper and code available! https://t.co/MDSo47g4rUAli did some amazing work on the hottest new generative model: drifting models (from Mingyang Deng @Goodeat258 et al., out of Kaiming He's group). Speeds up training a lot using low rank Nyström approximation. Check out Ali's full thread. Paper and code available!
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Reflections on the development and training of video AI models
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It's heavy how strong the blow was to the Seedance 2.0 table that completely halted the cadence of video models we'd been carrying up to then. May they rest in peace, all those model checkpoints that were trained and never published because they weren't up to par