DreamGuard stops risky AI agent actions in 25 ms
DreamGuard, a new arXiv preprint, uses a risk-aware world model to predict when AI agent actions could drift toward danger, intervening in 25 ms.
The AI knowledge 99.9% of people never discover
DreamGuard, a new arXiv preprint, uses a risk-aware world model to predict when AI agent actions could drift toward danger, intervening in 25 ms.
New arXiv preprint proposes Chained RLM, calling the same model with fresh context to stop early reasoning errors reaching the final answer.
OpenAI's improved GPT-5.6 Sol promises better accuracy and consistency in ChatGPT, with expanded free access. Here's who benefits and what's missing.
A prespecified study found zero unauthorized tool calls across 840 GPT-5.6 agent trajectories, but raising reasoning effort changed inspection behaviour
AI agents fail on long tasks because of five cognitive gaps named in an August 2026 arXiv preprint proposing a new architecture.
Self-improving AI agents that learn from stored memory can inflate rewards for wrong answers, then preferentially reuse their most confident mistakes
An open-weight 35B model hits 64% on a new video reasoning benchmark, beating Claude 4.5 Sonnet and GPT-5, but the team graded its own homework.
XGBoost outperformed neural networks and SVM in a malware detection benchmark, but the 98.62% figure is self-reported and unverified.
AntiSkillBench tests 7,500 dialogue traces across three frontier agents and finds privacy risks persist from explicit data to communication style.