773 summarised stories about Agentic AI, each linking back to the original source. Browse all topics →
SiliconANGLE 3 weeks ago 6 ● 9 sources
IBM and CoreWeave co-designed workload controls for agent execution, extending IBM’s research infrastructure from model training into isolated code-running and testing. They built a large H100 cluster for IBM Research’s Granite workflows. The work resulted in joint identity integration plus CoreWeave Sandboxes that let researchers choose where agent code runs and what resources it can access.
TechCrunch 3 weeks ago 33
Circuit Breaker Labs is building AI-safety testing agents to find harmful, psychologically risky interactions in AI chat and mental-health style apps. The company runs tens of thousands to hundreds of thousands of simulated conversations per day. It plans to expand its “red-team” style platform beyond early mental health use cases by scoring model responses for explainable, auditable safety weaknesses across ages, languages, and slang.
MIT Technology Review 3 weeks ago 42 ● 15 sources
Enterprise AI is transitioning from tool use to an “operating model” that connects people, processes, and data in real time to avoid siloed intelligence. Global AI investment is set to reach $2.5 trillion in 2026, up 44% from the prior year. Enterprises now need process redesign, composable architectures, and sovereign data/model control rather than just better models or faster infrastructure.
The Pragmatic Engineer 3 weeks ago 25 ● 5 sources
David Heinemeier Hansson said that 37signals has ended routine hand-coding and now uses AI-assisted work as the normal way to build software, triggering debate in the dev community. He pointed to November 24, 2025 as the moment that made coding-with-AI practical (“Opus 4.5”) and said he had retired from being a professional programmer by about March. The company changes its development approach by shifting to more web-first and Rust-backed systems, while arguing that software architecture and engineering practices must be revisited as human hand-coding drops.
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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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