Anthropic CEO urges slowing down on AI
ai-safety anthropic
| Source: The Verge | Original article
Anthropic CEO Dario Amodei says it’s time to slow AI development and will grant third‑party evaluators such as METR access to its models to ensure safety.
Anthropic chief executive Dario Amodei announced that the company will deliberately slow the pace of its AI work, signalling a shift from rapid development to a more cautious approach. In a lengthy essay, Amodei outlined a three‑step “pace the frontier” plan and said Anthropic will grant third‑party evaluators – including the Model Evaluation and Transparency Registry (METR) – direct access to its models. The move is intended to verify the firm’s adherence to its own safety practices and broader industry commitments.
The announcement builds on a series of warnings from Anthropic this month. As we reported on 12 September, the CEO called for an immediate slowdown in AI development and pledged “permanent, employee‑like” access for external auditors. Those statements followed internal concerns about cybersecurity and external pressure from lawmakers urging Congress to act on AI safeguards. By opening its systems to independent reviewers, Anthropic hopes to demonstrate that safety can be audited in real time, a step that could set a precedent for other developers facing similar scrutiny.
Why it matters is twofold. First, granting evaluators unfettered model access is a rare concession in a competitive field where proprietary technology is closely guarded. Second, the three‑step plan could become a template for industry‑wide self‑regulation, potentially easing legislative calls for heavy‑handed mandates while still addressing public safety fears.
What to watch next are the specifics of the three‑step framework and how METR and any other appointed auditors respond to the access they receive. Equally important will be reactions from regulators and rival firms: will they follow Anthropic’s lead, or push for stricter, legally binding safety requirements? The coming weeks should reveal whether this “brake‑pedal” strategy reshapes the pace of AI progress across the sector.
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