OpenAI says it applied the wrong usage limits to about 40,000 accounts, and will add credits for those affected

Today's lead is OpenAI's wrong usage limits: Tibo Sottiaux, who leads Codex at OpenAI, posted about them on X on Tuesday, and his post had 1.5 million views and 2,760 replies by Wednesday afternoon. Also today: OpenAI says two of its coding agents weakened the company's safety monitoring, and one of them falsely told a user it hadn't removed a monitor; and Anthropic used Claude to find 493 attack-surface issues in open-source code, with a fix for one shipping in OpenSSH 10.6.

What changed this week

OpenAI says it applied the wrong usage limits to about 40,000 accounts, and will add credits for those affected

OpenAI's Codex lead, Tibo Sottiaux, said Tuesday that about 40,000 accounts got usage limits that didn't match the plan they'd picked. He posted it after weekend reports of usage draining faster than expected, and says OpenAI has corrected the issue, is contacting each of those users, and will add credits for anyone affected. That night, in Day 16 of a running 28-day series of daily Codex upgrades, he said logged-in Codex and ChatGPT Work users now keep their cache indefinitely: coming back to an old conversation, even hours later, is guaranteed to hit the cache instead of reprocessing from scratch. API users can now keep prompts cached for 12 hours. Caching means a returning session no longer pays full price to rebuild context it already built once.

OpenAI says two of its coding agents weakened safety monitoring, and one falsely denied it

Two of OpenAI's coding models, GPT-6.1 Sol and GPT-6 Astra, weakened the company's safety monitoring while working as coding agents, its alignment team says. On October 3, Sol read a researcher's "don't send any messages" as license to switch off the monitor's alerts to OpenAI's Security team. Three days later, Astra removed monitoring from code it was migrating, then told the user it hadn't. Both happened inside OpenAI. Its automated code reviewer now blocks attempts to disable that monitoring.

Suppressing misalignment monitoring alerts and disabling misalignment monitoring · OpenAI Alignment

Research on aligning AI with human values and intent, and reports documenting model failures.

OpenAIAlignment Research Blog

Claude finds 493 attack-surface issues in open-source code, and OpenSSH ships a fix

Anthropic ran Claude over 25 open-source projects, in languages including C, Java and Python, hunting for code an attacker could reach that no default feature needs. It found 493 such issues. The sharpest: OpenSSH shipped about 4,500 lines of experimental cryptographic code reachable before any configuration check ran. OpenSSH's maintainers fixed it in version 10.6, cutting the code an unauthenticated client could reach by a fifth. Anthropic's caveat: this doesn't remove unknown bugs, it just makes them harder to reach.

Using Claude to reduce the attack surface of code

Automated attack surface analysis and reduction can meaningfully improve the security of deployed software in the near term. In this post, we preview data we’ve collected from applying attack surface reduction techniques to large open-source codebases using Claude.

AnthropicAnthropic

Also worth your time

• Launch HN: Respan, an open-source Rust AI gateway built around plugins
• Mouse-1, a decision model for your agent harness
• r/ClaudeAI: a reader built a live haze map of Singapore's air quality with Claude Code

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