OpenAI model proves ten math results with Lean certificates
OpenAI published ten new results from an internal model on open math and CS problems, with Lean proof certificates on GitHub for anyone to check.
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OpenAI published ten new results from an internal model on open math and CS problems, with Lean proof certificates on GitHub for anyone to check.
SCAIR, from Bosch and Stuttgart researchers, injects enterprise schemas into AI agent reasoning, beating generic RAG without retraining.
SeT-Diff from University of Bologna conditions diffusion models on sensor descriptions, doing imputation, forecasting and virtual sensing in one model.
OpenAI's July 31 post claims its safety and transparency practices support European AI governance, but offers no compliance details as the EU AI Act
OmegaUse-OfficeVal pairs 100 real office tasks with labour costs, showing AI agents are cheaper and faster but still fall short on quality.
A new arXiv survey maps how attacks on world models, the predictive engines behind embodied AI, can propagate from data into physical action.
OpenAI's July 31 post describes a full-stack push for cheaper, more capable AI, arguing falling intelligence costs change what work is worth doing for
An arXiv preprint proposes MTGuard, a hybrid analysis framework that catches malicious MCP tool use in AI agents while preserving normal task performance.
RSMeM adds a knowledge-enhanced memory system to remote sensing AI agents, improving DeepSeek-V3.2 accuracy 6% with under 1% extra tokens, per arXiv.
Change2Task, a July 30 arXiv preprint, converts merged pull requests into verified coding agent tasks at 79.6% success, targeting the training-data
AgentToolMO proposes cross-vendor trust signals for AI agents in autonomous telecom networks, cutting cascade failures from hours to near-real-time.
A new arXiv preprint tracks every repair attempt in LLM code generation, giving developers a replayable audit trail for AI-written code.