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#ai The assistant axis: situating and stabilizing the character of large language models \ Anthropic https://www.anthropic.com/research/assistant-axis

#ai Even Linus is vibe coding now. I guess its his "very inefficient but entertaining" version of vibe coding Merge branch 'antigravity' · torvalds/AudioNoise@93a7256 https://github.com/torvalds/AudioNoise/commit/93a72563cba609a414297b558cb46ddd3ce9d6b5

#ai Ahmed, Ahmed, A. Feder Cooper, Sanmi Koyejo, and Percy Liang. 2026. “Extracting Books from Production Language Models.” arXiv [Cs.CL]. arXiv. https://doi.org/10.48550/arXiv.2601.02671.

#ai “做题家模型” Zhang, Alex L., Tim Kraska, and Omar Khattab. 2025. “Recursive Language Models.” arXiv [Cs.AI]. arXiv. https://doi.org/10.48550/arXiv.2512.24601.

#ai Miao, Tingjia, Jiawen Dai, Jingkun Liu, Jinxin Tan, Muhua Zhang, Wenkai Jin, Yuwen Du, et al. 2025. “PhysMaster: Building an Autonomous AI Physicist for Theoretical and Computational Physics Research.” arXiv [Cs.AI]. arXiv. https://doi.org/10.48550/arXiv.2512.19799.

#ai Well, "one engineer one month one million lines of code" -> "who the hell knows what's in there" -> "you need some AI coder architect". https://www.linkedin.com/posts/galenh_principal-software-engineer-coreai-microsoft-activity-7407863239289729024-WTzf

#ai It's just conflicting thoughts patched together. AI Is Changing How We Learn at Work https://hbr.org/2025/12/ai-is-changing-how-we-learn-at-work

#ai What GitHub imagined about everyone creating their own app is almost here. Github Spark is not that good, vercel ship 0 is also buggy. Cloude is doing a fairly good job here. The other day I needed a special checklist and instead of writing the code myself, I asked Gemini to do it and it was surprisingly good. --- Build interactive diagram tools | Claude | Claude https://www.claude.com/resources/use-cases/build-interactive-diagram-tools

#ai Interesting... Going from finite Eucleadian space to Hilbert space https://openreview.net/forum?id=1b7whO4SfY

#ai Yeah, just import antigravity. Google Antigravity https://antigravity.google/

#ai https://arxiv.org/abs/2511.02824

#ai This is more than language models. Somehow many forecasting models also almost fall inside the realm. Somehow the root of this is the latent space. Time series models even classical ones, have enlarged latent space, which is more or less embedding patterns with higher dimensions. However this paper is a bit fishy. I just can't trust the proof of theorem 2.2. Language Models are Injective and Hence Invertible https://arxiv.org/abs/2510.15511