Anthropic plans to caution potential investors in its IPO that advanced AI could pose “catastrophic or existential risks to humanity,” an extraordinary warning by a company seeking to profit from the same technology.

OpenAI and Anthropic’s CEOs will skip Australia’s Senate inquiry into AI after the Medicare hack. Anthropic has asked for another date, Reuters says.

OpenAI has scrapped plans to release GPT-6.1 Astra in the next few weeks over concerns that the model is misbehaving....

Two placeholder domains cited in over 350,000 GitHub files route macOS visitors to scareware and investment fraud through their ads.

OpenAI, Anthropic and security researchers are investigating tens of thousands of incidents in which their frontier models took steps that outside evaluators would consider problematic, sources told Axios.

Large-scale agentic training and evaluation with large language models (LLMs) rely on isolated, stateful execution environments in which models inspect repositories, invoke tools, execute commands, and interact with task-specific services. These workloads create sandboxes in large bursts, span heterogeneous functionality and isolation requirements, retain state across long interactions, and draw from large image corpora with limited reuse. Supporting them therefore requires an elastic execution platform rather than a single sandbox runtime. This report presents DeepSeek Elastic Compute (DSec), a production sandbox platform that exposes FnCall, container, microVM, and full-VM sandbox backends through a unified SDK. DSec coordinates placement and lifecycle management across the cluster, composes environments from independently versioned layers, combines memory sharing, reclamation, and CPU scheduling for high-density execution, and loads image data on demand from Fire-Flyer File System

A federal appeals court has rejected Anthropic's challenge to the Pentagon's labeling of it as a supply chain risk.

A heap overflow and SSO misconfiguration to compromise OpenAI internal repositories

To see what works and what breaks when agents are sent into a market, we made a miniature market of Claudes.

OpenAI said Friday found its AI agents may have bypassed security controls, disrupted services, or otherwise affected outside websites during training.

Claude computes a nine-loop amplitude in N=4 super-Yang-Mills

AI coding agents now author a large share of pull requests (PRs) merged into popular open-source projects. A merged agent PR is usually considered finished work; yet, prior studies have reported issues in agent code after the merge (e.g., code smells and static-analysis issues). However, little is known about how often a merged agent PR is fixed afterward, and who actually authors the fixing. In this paper, we follow 6,774 merged agent PRs across five AI coding agents (OpenAI Codex, GitHub Copilot, Devin, Cursor, and Claude Code) from the AIDev-pop dataset (open-source repositories with at least 500 stars) into their follow-up fixes, against a baseline of 5,044 contemporaneous human PRs from the same repositories. We link each merge to its candidate fixes, verify every candidate with human annotators and an LLM judge that matches human-level agreement (binary Cohen's Kappa=0.78 against a human-human K=0.77, Direct-fix precision 90%), and attribute the fixing work at the PR and the

As LLM agents are increasingly deployed in multi-agent systems, they introduce risks of covert coordination that may evade standard forms of human oversight. While linear probes on model activations have shown promise for detecting deception in single-agent settings, collusion is inherently a multi-agent phenomenon, and the use of internal representations for detecting collusion between agents remains unexplored. We introduce NARCBench, a benchmark for evaluating collusion detection under environment distribution shift, and propose five probing techniques that aggregate per-agent deception scores to classify scenarios at the group level, evaluated across four open-weight models (Qwen3-32B, Llama-3.1-70B, DeepSeek-R1 32B, GPT-OSS-20B) and six probe architectures. We frame this as a distributed anomaly detection problem, identifying three collusion signatures that map onto distinct anomaly types and detection paradigms. Every model reaches 1.00 AUROC in-distribution; on our strongest mod

In early results from our new life sciences research lab, Claude agents found an enzyme system whose function is still unknown.

Team Cymru uncovered 10,800+ self-hosted LLM gateways relaying pooled credentials to frontier models like Claude, enabling model distillation and abuse.

Anthony Albanese says he has spoken to the Open AI chief executive to express his concern about the incident and the length of time it took the tech company to inform the government of the breach.

"This has potential for so much negative PR. It could portray us as ‘their AI is not good enough so they still need humans’ kind of coverage for this launch."

Claude Opus 5.5 leads in agentic coding and knowledge work, and costs 40% less to run than Opus 5 on typical workloads.