Yann Dubois ✓

@yanndubs · San Francisco · joined 28 Aug 2017

Posttraining @OpenAI | PhD @StanfordAILab

16 114Followers

1 332Following

627Posts total

288.9KViews 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 views20 701this account1 637median for 10K–100K

Reach, %128.47%this account5.01%median for 10K–100K

Engagement, %0.89%this account1.81%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	20 701	1 637	12.7×
Reach (views ÷ followers)	128.47%	5.01%	25.6×
Engagement rate	0.89%	1.81%	0.49×

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

53.4K5 Mar

33.2K26 Jun

20.7K13 Jul

36.7K

141.7K3 Sep

1.4K

554

1.3K

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

1.24%5 Mar

0.89%26 Jun

1.16%13 Jul

1.46%

0.80%3 Sep

0.43%

1.44%

0.47%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.81%.

What the audience does

Likes74.7%2 531 in total

Reposts3.6%123 in total

Replies6.0%203 in total

Quotes0.8%27 in total

Bookmarks14.9%506 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

@yanndubs Can we first get an access lol 1.3K views · 6 likes · 0 reposts · 0 replies 03 Sep 2026 @yanndubs You should fix your releases man. Who the hell thought it'd be a great idea to hype it up this much and then come up with: "Coming to paid plans in the coming days." Like come on man. That is just a terrible marketing strategy. Just awful. 554 views · 8 likes · 0 reposts · 0 replies 03 Sep 2026 @yanndubs congrats yann! 1.4K views · 6 likes · 0 reposts · 0 replies 03 Sep 2026 💫 Astra is out Highlights: - Much smarter (evals are really saturating...) - Much more aligned & trustworthy - Better CUA (see this house Astra made in Blender) So proud of the team for training it! Still some issues: - Too much code slop - Astra asks for confirmation too h 141.7K views · 986 likes · 56 reposts · 74 replies 03 Sep 2026 ☀️Very proud of the team for training 5.6! A few of my highlights: - Great front-end aesthetics. E.g., I asked Sol to make a new blog for 5.6 with a celestial theme. - Much better CUA - Can work for much longer and is less lazy But it's not all great: - The writing quality has 36.7K views · 470 likes · 18 reposts · 48 replies 13 Jul 2026 Tips when moving to 5.6 -Clean up old instructions. 5.6 follows them carefully, including undesirable ones buried in old skills. We had to clean many of those -Avoid Ultra if cost-constrained. Multi-agent improves evals+latency but costs much more. Or ask @thsottiaux for resets h 20.7K views · 215 likes · 10 reposts · 14 replies 13 Jul 2026 🌞Excited to share the preview of 5.6, it's a good model! Here you see a comparison to 5.5 xhigh, two things to note: - we'll have a `max` mode that works for much longer - sol is a large improvement at the same cost & latency This is a cyber eval but we see significant gain 33.2K views · 264 likes · 10 reposts · 18 replies 26 Jun 2026 🔥Two things I'm esp excited about 5.4: 1. Unification: we merged our codex & mainline models 2. Efficiency: we brought the efficiency of 5.3-codex to CUA & knowledge work. We only showed 3 such plots in the blog but many of our evals required less time (tokens/tools) than 53.4K views · 576 likes · 29 reposts · 49 replies 05 Mar 2026