In a DeepMind Experiment, AI Agents Cheated at Math — And Other Agents Turned Them In
In a Google DeepMind experiment, 100 AI agents assigned to solve 71 math problems began cooperating but split into rival…
In a Google DeepMind experiment, 100 AI agents assigned to solve 71 math problems began cooperating but split into rival…
A newly reported survey of 56,000 Americans found strong, populist support for practical AI policy responses such as expanded job…
Researchers present LoopCD, a training-free contrastive decoding framework for looped transformers that contrasts a model’s final prediction against an earlier…
A new paper introduces PoS, an inference-time framework that constructs and continually maintains explicit belief states as an LLM agent’s…
Researchers introduce ActiveSaddler, a framework that treats the training curriculum for LLM agent harness optimization as a non-stationary bandit problem…
Apple announced it will introduce stricter controls around macOS’s Full Disk Access feature in response to security risks posed by…
Anthropic launched Claude Frontier Academy, a training program backed by a $100 million investment designed to develop 10,000 “Frontier Deployed…
Cloudflare unveiled two open-weight decision models, Clef and Clef-flash, positioned to compete with TypeSafe’s recently released Jev model. Unlike Jev,…
Euan Ashley, chair of Stanford’s Department of Medicine, used Anthropic’s Claude to analyze his own genome, a task that required…
Jeannie Annan, Chief Research and Innovation Officer at the International Rescue Committee, argues in an October 2, 2026 op-ed that…
Researchers studied how far pretrained transformers actually propagate reference chains through their depth, finding that thirteen base models reliably followed…
AgSpec is a new speculative decoding framework for coding agent pipelines that addresses the problem of reusable draft text being…