BREAKING: Two critical security flaws in PHP, the programming language behind much of the internet, are forcing governments to take websites offline, per the BBC. The flaws were found by AI. Security firm Wiz called them the “most severe vulnerabilities ever discovered” by the technology.

Our latest model advances bring stronger capabilities for building and migrating software in low-resource programming languages such as COBOL, Fortran, and Visual Basic. These languages power software that banks, governments, and businesses depend on. Progress here means understanding decades of business logic and helping developers modernize those systems while preserving what works. We’re building these capabilities around the challenges developers and enterprise customers bring us. If your team is working on these systems, tell us which languages and workflows we should tackle next. openai.com/index/low-resourc…

The sudden collapse of the value of CoT (even summarized CoT) in the agentic era changes working with AI. Effectively steering AIs and getting any sort of observability now requires you to ask for interim outputs & tests, and to use AI help to troubleshoot problems you find.

European businesses are rapidly expanding their use of AI agents. More than half of the AI use among our EU enterprise and business customers now involves these tools, and the number of small business users has grown 8x across the region. Our latest Economic Research report explores Europe’s shift toward agentic AI—and the opportunity to turn broader adoption into deeper use. openai.com/index/the-eus-nex…

New on our Engineering blog: Creating in-house source control. In May, we merged around 2,500 code changes per day. In September, we merged more than 30,000 per day. As a result, we became bottlenecked by developer infrastructure built for human (rather than agent) scale. Here, we share how we built a new version control system—and fully migrated our monorepo from git—in five months: anthropic.com/engineering/re…

Meta did the unthinkable: Meta says Muse Wonder Full beats leading OpenAI and Anthropic models on several tests of sustained agent work. On DeepSWE it outperforms all other models, even Opus 5.5. On SWE-Marathon, its reported score is 57.5%, versus 46.3% for Claude Opus 5.5 and 42.5% for GPT-6 Astra. Active Memory retrieves relevant context across conversations. Active Focus helps the models work through blockers. Wonder is available through Meta’s API and Muse Code. Full is available to Muse Code subscribers. Meta changed the game. Expect OpenAI and Anthropic to answer ASAP. What a day!!

54% of organizations have no formal identity security program for AI agents. For human identities, that figure is just 23%. SailPoint's latest report exposes a widening gap between AI agent adoption and identity security maturity. Read more → thehackernews.com/2026/10/th…