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Anthropic CEO Calls For A Slower Pace In The AI Race

Anthropic CEO Proposes External Evaluators And Capability-Based Checks As AI Systems Become More Autonomous

The debate around slowing artificial intelligence development is taking a different shape at Anthropic. CEO Dario Amodei is no longer arguing for a broad pause in AI progress. Instead, he is proposing that the industry slow the pace of capability gains enough to give safety, testing and oversight mechanisms time to catch up.

In a September 2026 essay titled “We Must Pace the Frontier,” Amodei argues that the problem is no longer simply whether AI companies are investing in safety. The harder question is whether those safeguards can keep pace with increasingly capable systems.

“We must slow the pace at which we improve the capabilities of AI models. Progress will still seem fast, and we must make wise use of the time we gain,” he wrote.

That distinction is important. Amodei says “pacing” does not mean...

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What Hollywood thinks about existential AI warnings

As the tech sector sounds alarms about AI’s potential to destroy humanity, entertainment labor groups are urging the public to stay focused on what’s already happening. The Verge reached out to Disney, Netflix, Amazon, Lionsgate, and other studios who have started using AI, as well film startups focused

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Manus seeks $4B valuation in new $500M fundraise as it resumes independent ops

Chinese AI startup Manus, which earlier this year had to break off a merger with Meta, is in discussions to raise $500 million at a $4 billion valuation now that it has resumed operations as an independent company, The Wall Street Journal reported, citing anonymous sources. Potential investors in the

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A new chapter for MIT Reads

As it marks its 10-year anniversary, MIT Reads is being reimagined for the age of artificial intelligence. Recognizing the need to foster social connection and a sense of our shared humanity, the popular MIT Libraries’ program will turn its focus to fiction and memoir, and to the particular power of

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Native BM25 search in AlloyDB and Cloud SQL

Vector search is a critical component of generative AI, retrieval-augmented generation (RAG), and data agent architectures, but sometimes vector search alone isn't enough. While vector embeddings are incredible at understanding conceptual meaning, they stumble on specific alphanumeric IDs and exact product SKU numbers. To build truly robust search

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What Hollywood thinks about existential AI warnings

Manus seeks $4B valuation in new $500M fundraise as it resumes independent ops

A new chapter for MIT Reads

Native BM25 search in AlloyDB and Cloud SQL