Maxime Labonne ✓

@maximelabonne · London, England · joined 25 Oct 2017

Head of Post-Training @liquidai 🤗 HF: https://t.co/2ECS7Gjhwb 📝 Blog: https://t.co/Dxjebt3GZW

37 029Followers

572Following

3 531Posts total

152.7KViews on collected posts

Postingan terbaru

Maxime Labonne ✓@maximelabonne17 Sep

Fly has entered the chat. https://t.co/AeIWgoimE0

2.5K views · 18 likes · 0 reposts · 3 replies Open on X →

Maxime Labonne ✓@maximelabonne17 Sep

The fly figured out ways to solve and compress chess that are far beyond what we could possibly comprehend. I had to stop training it because it was destroying Opus 5. Demo and model available on @huggingface https://t.co/twV5GlsGDC

0:24

89.8K views · 921 likes · 77 reposts · 84 replies Open on X →

Maxime Labonne ✓@maximelabonne17 Sep

It's beautiful to see so many people rediscovering encoders from first principles 20.5K views · 272 likes · 11 reposts · 14 replies Open on X →

Maxime Labonne ✓@maximelabonne16 Sep

New article: how to turn a 230M param model into a 2000 Elo chess engine. It covers Stockfish SFT distillation, a bit of RL, and a lot of test-time search. The demo runs in your browser on @huggingface! https://t.co/uNHzM2QgSV

GIF

33K views · 545 likes · 43 reposts · 25 replies Open on X →

Maxime Labonne ✓@maximelabonne14 Sep

First, great initiative. I'm really happy it exists. My main concern is that the proposal explicitly tries to reverse-engineer a lab based on the desired outcome (thousands of employees, multi-GW compute capacity, major acquisitions). But reaching the frontier once isn't really 6.9K views · 47 likes · 5 reposts · 8 replies Open on X →

Dibandingkan akun berukuran sama

5 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tampil ke lebih banyak orang dibanding akun seukurannya.

Median tayangan20 490akun ini924median untuk 10K–100K

Jangkauan, %55.34%akun ini3.62%median untuk 10K–100K

Interaksi, %1.24%akun ini1.52%median untuk 10K–100K

Metrik	Akun ini	Median untuk 10K–100K	Rasio
Median tayangan per postingan	20 490	924	22.2×
Jangkauan (tayangan ÷ pengikut)	55.34%	3.62%	15.3×
Tingkat interaksi	1.24%	1.52%	0.82×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

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

6.9K14 Sep

33K16 Sep

20.5K17 Sep

89.8K

2.5K

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.87%14 Sep

1.89%16 Sep

1.45%17 Sep

1.24%

0.83%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes60.1%1 803 in total

Reposts4.5%136 in total

Replies4.5%134 in total

Quotes1.5%44 in total

Bookmarks29.5%884 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.

Postingan terbaru

Dibandingkan akun berukuran sama

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Akun serupa