Jakob Foerster ✓

@j_foerst · joined 14 Nov 2012

Associate Prof in ML @UniofOxford. Something Something Research Scientist @MetaAI. Something @BOLD_LAB_AI. Always #teamhuman. Opinions belong to the world.

25 439Followers

1 100Following

2 662Posts total

181.7KViews on collected posts

Against accounts of the same size

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

Median views6 029this account964median for 10K–100K

Reach, %23.70%this account3.25%median for 10K–100K

Engagement, %0.62%this account2.01%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	6 029	964	6.25×
Reach (views ÷ followers)	23.70%	3.25%	7.29×
Engagement rate	0.62%	2.01%	0.31×

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

68.6K21 Apr

2.3K21 Aug

4.1K

78.2K31 Aug

6K1 Sep

12.5K

3.5K3 Sep

6.3K

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.22%21 Apr

0.60%21 Aug

0.51%

0.62%31 Aug

0.91%1 Sep

1.14%

0.39%3 Sep

1.67%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 2.01%.

What the audience does

Likes72.0%844 in total

Reposts7.7%90 in total

Replies3.1%36 in total

Quotes1.6%19 in total

Bookmarks15.6%183 in total

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

Followers by day

5 Sep

Daily snapshots since 05 Sep 2026; the dashed line is the starting count.

Latest posts

We recently hosted our first @bold_lab_ai Festival in Oxford @UniofOxford, brining together 350 researchers, innovators, industry partners, VCs and policymakers. Our annual BOLD Festivals are core to our efforts of strengthening the open-source AI ecosystem in the UK and in https 6.3K views · 86 likes · 15 reposts · 2 replies 03 Sep 2026 · Open on X →

wow 3.5K views · 13 likes · 0 reposts · 1 replies 03 Sep 2026 · Open on X →

Autoresearch is great when you can throw "stuff at the wall" (i.e. run many fast experiments). What if experiments take weeks or months to run and millions of dollars instead? Human scientists get around this with small scale proof of concept, scaling curves and other targeted 12.5K views · 133 likes · 5 reposts · 5 replies 01 Sep 2026 · Open on X →

This was a really fun collaboration and the line of work opens a ton of follow-up work. At the core, moving towards world-models / value functions that _do experiments_ is a really exciting direction 🧑‍🔬🤖 6K views · 46 likes · 5 reposts · 4 replies 01 Sep 2026 · Open on X →

AI research agents can generate hundreds of ideas in seconds, but evaluating each can take days of GPU time. When compute is limited, which idea deserves execution? We introduce AI Research Preference Models (RPMs) to assess ideas & focus compute on the most promising paths 78.2K views · 398 likes · 51 reposts · 18 replies 31 Aug 2026 · Open on X →

PS: This is another make-or-break moment for BOLD. Please share the love 🦋🦋🦋 4.1K views · 20 likes · 1 reposts · 0 replies 21 Aug 2026 · Open on X →

@j_foerst https://t.co/acZ56KzrTO 2.3K views · 12 likes · 0 reposts · 2 replies 21 Aug 2026 · Open on X →

Making offline RL more honest, reproducible, and robust. 68.6K views · 136 likes · 13 reposts · 4 replies 21 Apr 2025 · Open on X →