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8 November 2026

Alignment ForumArticleClaude Watch

Ajeya: AI is dramatically accelerating AI research right now

This is the moment the industry has been watching for: AI systems materially speeding up their own development. Anthropic committed publicly to halt deployment if this happened, and they appear to have just hit it. The S1 filing telegraphed this, but METR's independent verification makes it real. For builders and investors: capability velocity is about to change shape, and the compliance and governance stakes just shifted from theoretical to immediate. For Anthropic specifically: the policy now forces a decision about what "halt" means operationally.

Latent SpaceArticle

[One Million AI Engineer Special] How Stanford Teaches AI-Native Engineering — Mihail Eric, Monaco

The curriculum problem is real: if agents can one-shot homework, what do you assign? Eric's answer is forcing students into the constraints of real codebases and unfamiliar systems. This is the first serious engineering school response to agents making academic code exercises obsolete. For builders: this is what institutional gatekeeping looks like when it actually adapts.

Latent SpaceArticle

How Stanford Teaches AI-Native Engineering — Mihail Eric, Monaco

The curriculum problem is real: if agents can one-shot homework, what do you assign? Eric's answer is forcing students into the constraints of real codebases and unfamiliar systems. This is the first serious engineering school response to agents making academic code exercises obsolete. For builders: this is what institutional gatekeeping looks like when it actually adapts.

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