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Yann Dubois ✓

@yanndubs · San Francisco · joined 28 Aug 2017

Posttraining @OpenAI | PhD @StanfordAILab

16 114Followers
1 332Following
627Posts total
288.9KViews on collected posts

Últimas publicaciones

@yanndubs Can we first get an access lol 1.3K views · 6 likes · 0 reposts · 0 replies Open on X →
@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 Open on X →
@yanndubs congrats yann! 1.4K views · 6 likes · 0 reposts · 0 replies Open on X →
💫 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 https 141.7K views · 986 likes · 56 reposts · 74 replies Open on X →
☀️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 Open on X →
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 Open on X →
🌞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 gains ht 33.2K views · 264 likes · 10 reposts · 18 replies Open on X →
🔥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 5.2. ht 53.4K views · 576 likes · 29 reposts · 49 replies Open on X →

Frente a cuentas del mismo tamaño

4 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a mucha gente, pero pocos de esos espectadores reaccionan.

Visualizaciones medianas1 333esta cuenta924mediana de 10K–100K
Alcance, %8.27%esta cuenta3.62%mediana de 10K–100K
Interacción, %0.64%esta cuenta1.52%mediana de 10K–100K
MétricaEsta cuentaMediana de 10K–100KProporción
Visualizaciones medianas por publicación1 3339241.44×
Alcance (visualizaciones ÷ seguidores)8.27%3.62%2.29×
Tasa de interacción0.64%1.52%0.42×

Otras cuentas de este rango →   Comparar con otra cuenta →   Cómo se construyen estas referencias →

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 1.52%.

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.

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