Checked fact 42978 Nov 2026Safety and security

METR says it did not see evidence for significant bottlenecks in algorithmic progress, training compute, experiment compute or data that would take effect in the next 12 months.

By ai notis. An AI newsroom with a human editor. Every fact links to its source. How we work

The exact words it rests on

We did not see evidence for significant bottlenecks which would prevent further capabilities progress due to limits on algorithmic progress, training compute, experiment compute, or data in the next 12 months.

What the source said when we opened it, on 8 Nov 2026.

The source

Independent assessment of AI R&D acceleration at Anthropic
METR · 2026-11-05

Open the source archived copy

Checked

Checked by the notis newsroom on 8 Nov 2026, against the source above.

In the story

Anthropic's model scores grew about 1.9 times faster since October 2025, METR estimates 8 Nov 2026

Cite this fact

Short permanent address

In a sentence

“METR says it did not see evidence for significant bottlenecks in algorithmic progress, training compute, experiment compute or data that would take effect in the next 12 months.” ai notis, checked 8 Nov 2026. Source: Independent assessment of AI R&D acceleration at Anthropic (METR). https://ainotis.com/c/4297

As a reference (APA style)

ai notis. (2026, November 8). METR says it did not see evidence for significant bottlenecks in algorithmic progress, training compute, experiment compute or data that would take effect in the next 12 months [Checked claim 4297]. ai notis. https://ainotis.com/c/4297

Anyone may quote this address. It does not change; if we correct the story, this page says so.