1790 summarised stories about AI Agents, each linking back to the original source. Browse all topics →
OpenAI 5 months ago 39
OpenAI has implemented security measures for Codex including sandboxing, approval systems, network policies, and telemetry designed to enable safe deployment of coding agents. The system uses agent-native telemetry to monitor behavior and network policies to restrict unauthorized connections. These controls allow organizations to adopt coding agents while maintaining compliance and reducing risks from automated code execution.
Sequoia 5 months ago 8 ● 2 sources
AI Ascent 2026 hosted a fourth annual event in San Francisco with more than 150 AI founders and researchers, featuring talks from multiple leading figures. The event took place on April 20. The article mainly adds a curated set of videos and points readers to a YouTube playlist rather than reporting new AI research results.
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TLDRocket
24 October 2026
AI’s dominant theme today is accountability at scale: as agents get more autonomous, companies are doubling down on verification, sandboxing, and evidence—because “it worked once” is no longer good enough. Anthropic reports its merged code changes jumped from about 2,500 per day in May to over 30,000 by September as it rolled out agentic “software factory” workflows, but the growth depends on building a fast, high-fidelity verification “sensor” so agents don’t outrun what tests can actually validate. In parallel, Anthropic open-sourced its @anthropic-ai/sandbox-runtime, an OS-level sandbox (no containers) that reportedly cut internal Claude Code permission prompts by 84%—a practical nod to how real agent deployments are constrained by risk controls, not ambition.
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