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Beidi Chen

@BeidiChen · joined 29 Nov 2011

Asst. Prof @CarnegieMellon, @amazon Scholar, Prev: Visiting Researcher @Meta, Postdoc @Stanford, Ph.D. @RiceUniversity, Large-Scale ML, a fan of Dota2.

16 883Followers
411Following
615Posts total
1.2MViews on collected posts

Последние посты

🤔engram is finally in 4.2K views · 36 likes · 1 reposts · 1 replies Open on X →
Wow! 7.6K views · 26 likes · 0 reposts · 0 replies Open on X →
DFlash 2 is here! Qwen3.8-27B at 70 tok/s on an M5 Max MacBook Pro. ⚡ Up to 4.6× the speed of autoregressive decoding, with the same output. This is the next generation of DFlash, seeded at Z Lab and upgraded at Inco AI. Get one more accepted token on every pass, for free! http
0:26
1.1M views · 3.8K likes · 490 reposts · 211 replies Open on X →
📢AI is taking over the infrastructure it runs on—and already doing better. FlashRT achieves up to 70× lower latency and 3.6× higher throughput across five real-time apps, even delivering stronger results on less human-optimized AMD GPUs than on NVIDIA. We used to handcraft 4.6K views · 22 likes · 1 reposts · 0 replies Open on X →
AI is now building the infrastructure it runs on. Getting real-time multimodal applications — including live avatars, voice agents, video world models — to actually run in real time takes serious manual systems work. Turns out a coding agent can do all the engineering work for h
0:08
6.5K views · 33 likes · 8 reposts · 1 replies Open on X →
lol I’ve been assuming Claude > GPT on basically everything. Turns out reasoning ≠ strategy. 13K views · 36 likes · 0 reposts · 0 replies Open on X →
𝐀𝐫𝐞 𝐠𝐨𝐨𝐝 𝐫𝐞𝐚𝐬𝐨𝐧𝐞𝐫𝐬 𝐚𝐥𝐰𝐚𝐲𝐬 𝐠𝐨𝐨𝐝 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐬𝐭𝐬? Our new project, AI Battle Arena, suggests the answer is no: Claude models are strong at many reasoning-heavy tasks, like coding. But in hidden-information poker, Claude models stayed honest and https://t.co/cqw2j3drtD
17.6K views · 25 likes · 6 reposts · 1 replies Open on X →
Congrats on the launch~ 8.3K views · 29 likes · 0 reposts · 2 replies Open on X →

На фоне аккаунтов своего размера

8 постов за последние 90 дней рядом с диапазоном 10K–100K подписчиков. показывается широко, но откликается мало кто.

Медианные просмотры7 910этот аккаунт964медиана для 10K–100K
Охват, %46.85%этот аккаунт3.55%медиана для 10K–100K
Вовлечённость, %0.40%этот аккаунт1.59%медиана для 10K–100K
ПоказательЭтот аккаунтМедиана для 10K–100KОтношение
Медианные просмотры на пост7 9109648.20×
Охват (просмотры ÷ подписчики)46.85%3.55%13.2×
Вовлечённость0.40%1.59%0.25×

Другие в этом диапазоне →   Сравнить с другим аккаунтом →   Как считаются эти ориентиры →

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

8.3K23 Jun
17.6K8 Jul
13K
6.5K11 Aug
4.6K
1.1M18 Aug
7.6K
4.2K10 Sep

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

0.38%23 Jun
0.18%8 Jul
0.28%
0.65%11 Aug
0.50%
0.42%18 Aug
0.34%
0.92%10 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.59%.

What the audience does

Likes49.0%4 051 in total
Reposts6.1%506 in total
Replies2.6%216 in total
Quotes2.1%171 in total
Bookmarks40.2%3 328 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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