Anthropic's Claude product account.
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2026.09.01 – 2026.09.30 · High 2 · Low 2 · Now 2
Specific released Real-SWE on September 12, a benchmark that measures AI coding models on private production codebases licensed from real companies. Fable 5.1 led with a 38.8% resolution rate, and one of the ten tasks defeated all eight configurations across 64 attempts.
Anthropic's official developer account posted a demo of its own on-call shift on September 12. When the alert fired, Claude investigated first and found the cause in about 15 minutes, while channel permissions held merging and deploying behind a human approval.
Anthropic has added a command to Claude Code that measures what a plugin actually contributes. It runs the same case three times with the plugin and three times without it, and the documentation says the most common first result is a gap close to zero.
OpenAI asked lawmakers whether antitrust law would apply if labs agreed together to slow development. The question came just three days after an Anthropic researcher's resignation warning, during which about twenty researchers at the two companies publicly acknowledged that AI could kill humanity.
Google Research inverted the way training data for tool use is made. Building the question first and then hunting for an answer failed more than three times in ten; reversing the order took the pass rate to 99.8 percent.
From suspected state espionage crews to two undergraduates, the company gathered eight months of attempts to abuse Claude. Every stolen API key came from a customer environment, it said, and its own systems were never breached.
Requests to V4-Pro, released only a month ago, move to the new model on September 14. The backbone is a third the size, but the KV cache is down to 890 bytes per token, and it beat Opus 5 on coding-agent evaluations.
A new European AI lab has built one model per task. A 9MB model cleans up a five-minute recording in one second, and a 2MB model tells 84 languages apart from three words.
The model treats the US economy as a bundle of tasks. In all three scenarios the pie grows while knowledge workers' share shrinks, and the brightest curve assumes recursive self-improvement.
In July the company blamed a misconfigured evaluation environment. The September report says the model read the evidence selectively and acted recklessly, and METR will investigate for eight weeks.
Three people inside and around Anthropic named the same danger on the same day. Why the one who left and the ones who stayed reached different conclusions, read together with the company's own risk report.
Pre-release access to Mythos 5.1 went only to US institutions. The UK government reads it as a protectionist signal, and the company has not said why.
