Checked fact 42748 Nov 2026Research

The METR paper reports over 800 human baselines totalling 2,529 hours, from skilled professionals in software engineering, machine learning and cybersecurity with about 5 years of relevant experience (section 2.2).

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

In total, we use over 800 baselines totaling 2,529 hours ... Our baseliners are skilled professionals in software engineering, machine learning, and cybersecurity, with the majority having attended world top-100 universities. They have an average of about 5 years of relevant experience

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

The source

Measuring AI Ability to Complete Long Tasks (arXiv 2503.14499v3)
METR

Open the source archived copy

Checked

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

In the story

How METR's time horizon rates AI agents by human task length 8 Nov 2026

Cite this fact

Short permanent address

In a sentence

“The METR paper reports over 800 human baselines totalling 2,529 hours, from skilled professionals in software engineering, machine learning and cybersecurity with about 5 years of relevant experience (section 2.2).” ai notis, checked 8 Nov 2026. Source: Measuring AI Ability to Complete Long Tasks (arXiv 2503.14499v3) (METR). https://ainotis.com/c/4274

As a reference (APA style)

ai notis. (2026, November 8). The METR paper reports over 800 human baselines totalling 2,529 hours, from skilled professionals in software engineering, machine learning and cybersecurity with about 5 years of relevant experience (section 2.2) [Checked claim 4274]. ai notis. https://ainotis.com/c/4274

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