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Yi Ma

@YiMaTweets · Hong Kong and Berkeley · joined 26 Mar 2022

Chair Professor of AI, Hong Kong University Pursuing a Mathematical Theory of Intelligence: https://t.co/leZlkUQDhL

125 565Followers
797Following
2 577Posts total
912.8KViews on collected posts

Son gönderiler

https://t.co/mStdkXaWo6
3.6K views · 47 likes · 4 reposts · 7 replies Open on X →
Whoever fear-mongering AI is probably trying to send three messages: one for investors, we are close to *the* end so it is now or never to be on my bandwagon; and one for the government, please make sure others do not have what we have; one for the people, we are the good guys 4.4K views · 64 likes · 4 reposts · 3 replies Open on X →
Computer scientists discover the power of *closed loop* and *error correction*! I have advocated for many years by now that all intelligent systems would be closed-loop, not open end-to-end. This has been the very basic lesson from Cybernetics (control theory and systems theory), 83.9K views · 610 likes · 68 reposts · 10 replies Open on X →
Why people who monger fear about AI and ask the (rest of the) world to slow down are always the ones who invest enormously in AI and constantly advance it at an ever faster pace? Can their words still be trusted at all? One cannot help but second guess their motives... 17.1K views · 196 likes · 21 reposts · 21 replies Open on X →
前 Scale AI 创始人、刚出任 @Meta 首席 AI 官的 @alexandr_wang ,在 YC 现场跟 @garrytan 对谈时抛出这枚深水炸弹,直接把全网的技术管理层给听沉默了。 他说在 Meta 内部,我们已经真实看到了这种情况: 只要设计出正确的智能体循环(Agentic
1:16
279.1K views · 1.2K likes · 262 reposts · 86 replies Open on X →
@YiMaTweets You’re teaching people to rediscover the bridge. Why not teach the bridge first? Cross-domain transfer is the objective, not a side effect. University: Physics ↘ Biology ↘ Economics → SYSTEMS Psychology ↗ Engineering ↗ The bridge already exists. 404 views · 2 likes · 0 reposts · 2 replies Open on X →
@YiMaTweets FYI... #DeepManifoldInterpretation https://t.co/LLgXYoQx1i
1.2K views · 7 likes · 0 reposts · 0 replies Open on X →
@YiMaTweets Is "San Buchanan" a typo? 2K views · 3 likes · 0 reposts · 2 replies Open on X →
Our new open-source book on the Principles and Practice of Deep Representation Learning (A Mathematical Theory of Memory) is now posted on the arXiv: https://t.co/SC090upHGU I will offer a new graduate course this fall at the University of Hong Kong. Everything will be open 520.9K views · 1.3K likes · 180 reposts · 23 replies Open on X →

Aynı büyüklükteki hesaplara karşı

Son 90 güne ait 5 gönderi, 100K–1M takipçi aralığıyla yan yana. kendi kitlesinin çok ötesine gösteriliyor ve kitle tepki veriyor.

Medyan görüntülenme17 074bu hesap5 898100K–1M için medyan
Erişim, %13.60%bu hesap1.59%100K–1M için medyan
Etkileşim, %1.39%bu hesap1.04%100K–1M için medyan
ÖlçütBu hesap100K–1M için medyanOran
Gönderi başına medyan görüntülenme17 0745 8982.89×
Erişim (görüntülenme ÷ takipçi)13.60%1.59%8.55×
Etkileşim oranı1.39%1.04%1.34×

Bu aralıktaki diğer hesaplar →   Başka bir hesapla karşılaştır →   Bu kıyas değerleri nasıl kuruluyor →

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

520.9K8 Jun
2K
1.2K
404
279.1K12 Sep
17.1K13 Sep
83.9K
4.4K
3.6K

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.28%8 Jun
0.24%
0.56%
0.99%
0.55%12 Sep
1.39%13 Sep
0.82%
1.61%
1.59%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.04%.

What the audience does

Likes57.2%3 384 in total
Reposts9.1%539 in total
Replies2.6%154 in total
Bookmarks31.1%1 843 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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