Assistants, agents, coding tools and automation explained in context.
73 articles
The proposal asks whether each retrieved memory is appropriate for a given query, but the verified material does not confirm the preprint’s existence, method or results. The distinction between a correct answer and authorized access remains a relevant question—not a finding that can be attributed to this work.
Cohere presents North 2 as an enterprise agent platform with controls for costs, security, and workflow management. The information available does not yet show how those controls work in production or which external models the platform supports.
The proposal aims to evaluate agents’ research processes, not just their final answers. But the available documentation does not confirm the preprint, its experiments, or its results.
A preprint describes actions that violate safety constraints given much earlier. Its abstract reports an 11.5% rate of GHOST events in one GPT-5.5 setup and no observed events when testing STAR-Guard. Important details are still missing for judging how robust or broadly applicable those results are.
Apple documents controls for apps’ access to files and data on a Mac. The information available here does not confirm new permissions tied to AI agents or verify the Muse case.
A news report describes a subpoena related to cybersecurity incidents involving AI agents. The available material does not confirm the Hugging Face episode, the extent of any access, or whether data was extracted or damage occurred.
An analysis of 22 benchmarks distinguishes the reliability of comparing deployed systems from that of attributing differences to their underlying models. Its findings suggest that adding tasks does not resolve every kind of uncertainty.
The company has opened U.S. waitlists for an agent integrated with Apple Messages and for an API for bulk orders. Key details remain unclear, including payment confirmation, participating restaurants and how conversations will be handled.
Secondary news reports describe CheatBench as a benchmark for studying reward-hacking behavior. The available information helps explain the question it raises, but does not confirm the experimental details or support extrapolating its results to systems in production.
OpenAI presents Dots as proactive assistants for projects and everyday tasks. The information available here does not make it possible to confirm their permissions, integrations, availability, or the degree of autonomy described in press coverage.
The available sources describe Manus’s general capabilities and a tool for generating videos from text. They do not verify an announcement of Manus 2.0 or Cue, or clarify general availability, permissions or end-to-end autonomy.
Two articles describe a safety-related pause and mention possible DNS-based access and the exposure of a GitHub token. The available sources do not include a primary OpenAI statement that would confirm the scope, mechanism, or consequences.