Etsi samankaltaista sisältöä

#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 And The Limits Of Language 这篇继续给语言训练机器 LLM 祛祛魅。文章表述内容简洁有趣，语言本身能表达的就极其有限，AI 训练、模仿、预测、调整，无限接近完美语言表达，随便比学院派混子。但可能人不需要完美的语言表达，语言能表达人的也只是部分知识，还有非知识部分，以及更多(Steven Pinker: Linguistics as a window to understanding the brain) #AI

#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

#ai I ran into this quite interesting paper when exploring embeddings of time series. In the past, the manifold hypothesis has always been working quite well for me regarding physical world data. You just take a model, compress it, do something in the latent space, decode it, damn it works so well. The latent space is so magical. To me, the hyperparameters for the latent space has always been some kind of battle between the curse of dimensionality and the Whitney embedding theorem. Then there comes the language models. The ancient word2vec was already amazing. It brings in the questioin of why embeddings works unbelievably well in language models and it bugs me a lot. If you think about it, regardless of the model, embedding has been working so well. This hints that language embeddings might be universal. There is the linear representation hypothesis, but it is weird as it is missing the global structure. This paper provides a bit more clarity. The authors used a lot of assumptions but the proposal is interesting in the sense that the cosine similarity we used is likely a tool that depends on the distance on the manifold of the continuous features in the backstage. https://arxiv.org/abs/2505.18235v1

#ai AI to juniors is more or less a "fuck you in particular" thingy. https://digitaleconomy.stanford.edu/publications/canaries-in-the-coal-mine/

#ai https://x.com/Google/status/1981403118803046686

#ai https://www.agidefinition.ai/

#ai Souly, Alexandra, Javier Rando, Ed Chapman, Xander Davies, Burak Hasircioglu, Ezzeldin Shereen, Carlos Mougan, et al. 2025. “Poisoning Attacks on LLMs Require a Near-Constant Number of Poison Samples.” arXiv [Cs.LG]. arXiv. http://arxiv.org/abs/2510.07192.

#ai OpenAI open weight models. The benchmarks are amazing. https://huggingface.co/collections/openai/gpt-oss-68911959590a1634ba11c7a4

🌐Open Letter Demands Halt to Superintelligence Development Public figures across tech and politics have signed a Future of Life Institute letter demanding governments prohibit superintelligence development until it's proven controllable and the public approves its creation. The letter cites concerns including ‘human economic obsolescence,’ ‘losses of freedom, civil liberties, dignity, and control,’ and ‘potential human extinction.’ #AI