AI for science needs reasoning, not just data
MIT Technology Review argues that AI agents, rather than data-hungry models alone, could make scientific research faster, more reproducible, and broadly useful.
MIT Technology Review argues that AI agents, rather than data-hungry models alone, could make scientific research faster, more reproducible, and broadly useful.
Thinking Machines has released Inkling Small, an Apache 2.0 open-weights reasoning model that approaches Inkling’s results with far fewer active parameters.
SK Telecom introduced a second A.X K2 Korean-language model, signaling a deeper push into domestic enterprise AI with stronger reasoning claims.
Anthropic says Claude Mythos found flaws in HAWK and reduced-round AES, signaling AI may accelerate cryptanalysis without threatening current systems.
A reported chain-of-thought spoofing attack highlights a new security risk for reasoning AI models, raising reliability concerns for AI builders and buyers.
OpenAI unveiled GeneBench-Pro, a genomics benchmark meant to measure higher-order scientific reasoning as AI labs push into biology workflows.
Google releases Gemini 3.1 Pro achieving 77.1% on ARC-AGI-2 benchmark, doubling previous model's reasoning capabilities for complex problem-solving tasks.
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