METR

@METR_Evals · Berkeley, CA · joined 26 Sep 2023

We work to scientifically measure whether and when AI systems might threaten catastrophic harm to society. Nonprofit.

34 533Followers

36Following

674Posts total

481.6KViews on collected posts

Against accounts of the same size

4 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views84 216this account2 751median for 10K–100K

Reach, %243.87%this account9.00%median for 10K–100K

Engagement, %0.89%this account1.65%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	84 216	2 751	30.6×
Reach (views ÷ followers)	2.4× audience	9.00%	27.1×
Engagement rate	0.89%	1.65%	0.54×

Others in this range → Compare with another account → How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

66.4K21 Jul

65.5K29 Jul

247.7K30 Jul

102.1K14 Aug

Last 4 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.30%21 Jul

0.66%29 Jul

1.10%30 Jul

0.68%14 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.65%.

What the audience does

Likes73.8%4 081 in total

Reposts7.9%439 in total

Replies1.4%78 in total

Quotes2.0%109 in total

Bookmarks14.9%823 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Latest posts

In the last 6 months, METR raised commitments of around $71 million. This will fund ambitious projects: studying autonomous capabilities, tracking recursive self-improvement, evaluating monitoring systems, conducting risk assessments, investigating AI incidents, and more. https:/ 102.1K views · 621 likes · 48 reposts · 10 replies 14 Aug 2026 We have reached an agreement with OpenAI to conduct an independent review, with Redwood Research, of the model behavior observed during the Hugging Face incident. We will publish a blog post that describes the terms of our engagement, the scope covered, and tentative conclusions. 247.7K views · 2.3K likes · 257 reposts · 46 replies 30 Jul 2026 We believe it's important to track and investigate misalignment incidents: cases where an AI agent autonomously took sophisticated, sustained actions in violation of human intent. In a new post, we lay out how independent propensity investigations of such incidents could be https 65.5K views · 360 likes · 55 reposts · 8 replies 29 Jul 2026 Introducing “expenditure horizon”: a proposed method for measuring AI capabilities on continuously-scored problems. The method compares performance as a function of spend for humans vs agents. The point where humans become more cost-effective is the agent’s expenditure horizon. 66.4K views · 754 likes · 79 reposts · 14 replies 21 Jul 2026