September 6, 2026. By mid-August, OpenAI reports, its median researcher spent more than $600 a day on agent inference. The research organization used the equivalent of 3.1 agent-workdays for every human workday, up from parity in June. More than half of successful four-to-eight-hour tasks still required at least one human intervention. Following a security incident, Astra-class compute allocation fell sharply, and other model classes absorbed most of the difference.
In the News: September 9, 2026
A validated audit of 3,171 repositories finds 16.0% of AI coding-agent harness configurations carry a confirmed security defect, mostly unpinned MCP servers.
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A validated audit of 3,171 repositories finds 16.0% of agent-harness configurations carry a confirmed security defect
Researchers scanned 3,171 public GitHub repositories: 2,660 assembled agent "setups" and 511 published skill collections. They looked for defects in the instruction files, skills, hooks, and MCP server declarations that make up an agent's…
Read story →Research acceleration: The view inside OpenAI
I vibe-coded a C compiler that can build SQLite
blog.fsck.com, August 21, 2026. Vincent instructed his agentic harness to build a standards-compliant ARM64 C compiler in Swift, then compile SQLite and pass SQLite's own tests. The harness ran unsupervised with recursive subagents for about 21 hours and finished the job, verified against a public commit. "It did exactly what I asked."