AI-Designed Proteins Take on Deadly Snake Venom

Every year, venomous snakes kill over 100,000 people and leave 300,000 more with devastating injuries — amputations, paralysis and permanent disabilities. The victims are often farmers, herders and children in rural communities across sub-Saharan Africa, South Asia and Latin America.

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This paper introduces a framework for analyzing how features flow and evolve through the layers of large language models. The key methodological contribution is using linear representation analysis combined with sparse autoencoders to track specific features across model depths. Key

Want to tinker with an always on in the background assistant to talk to back and forth, I pay for Claude, looking for a free alternative to the above. submitted by /u/tolstoyswager [link] [comments]

A major shift that has been happening for some time and is now accelerating with AI is the move toward all-in-one super-platforms. Parker Conrad from Rippling famously argued that we were building software the wrong way – focusing on individual

Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2 Yuri Chervonyi, Trieu H. Trinh, Miroslav Olšák, Xiaomeng Yang, Hoang Nguyen, Marcelo Menegali, Junehyuk Jung, Vikas Verma, Quoc V. Le, Thang Luong arXiv:2502.03544 [cs.AI]: https://arxiv.org/abs/2502.03544 We present AlphaGeometry2, a significantly improved version

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House lawmakers push to ban AI app DeepSeek from US government devices.[1] OpenAI looks across US for sites to build its Trump-backed Stargate AI data centers.[2] Google announces new AI features coming to Workspace for Nonprofits.[3] Indian media pile into

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