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Google DeepMind's AlphaEvolve system uses language models to iteratively evolve code and discover new mathematical structures in complexity theory. The system improved the inapproximability bound for the MAX-4-CUT problem from 0.9883 to 0.987 and discovered Ramanujan graphs with up to 163 nodes, with all results computationally verified for correctness. AI can now assist theoretical computer science research by generating proof components rather than full proofs, enabling discoveries that advance the field's understanding of computational hardness.
Researchers developed the Personal Health Agent (PHA), a multi-agent AI system using large language models to provide personalized health guidance by integrating wearable device data with specialized sub-agents for data analysis, medical knowledge, and health coaching. The system was evaluated on 10 benchmark tasks using data from approximately 1,200 users and required over 1,100 hours of assessment effort from health experts and end-users. The collaborative multi-agent architecture significantly outperformed single-agent and parallel multi-agent baselines in providing comprehensive, trustworthy health support.
OpenAI released Sora 2, an updated video generation model with improved physical accuracy and realism compared to the previous version. The model adds synchronized dialogue and sound effects to generated videos and is available through a new Sora app. Users can now create videos with these enhanced capabilities through the app.
OpenAI released Sora 2, a new video and audio generation model that improves on the original Sora with better physics accuracy, sharper visual quality, synchronized audio, and greater control over style. The model demonstrates capabilities previously difficult for video generators to achieve, including more realistic rendering and expanded creative options. These improvements enable users to generate videos with more precise physical behavior and coordinated sound alongside video content.
OpenAI built Sora 2, an advanced video generation model, with safety features designed to prevent misuse of the technology. The system includes protections such as detection tools to identify synthetic content and limits on what users can generate. The accompanying Sora app implements these safeguards to manage risks associated with a public video creation platform.
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