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Thomas Ahle

@thomasahle

Head of AI @NormalComputing - building OpenClaw for EDA. Ex @Meta, @BARCdk, SupWiz, @OxfordQuantum. Tweets on Math, AI, #dspy, Probability, ML. Also tensors.

9 094Followers
846Following
6 605Posts total
2.1MViews on collected posts

Son gönderiler

@thomasahle @markchen90 If you turn that off then instead of improving the model for everyone it only improves it for OpenAI internally 2.9K views · 219 likes · 7 reposts · 4 replies Open on X →
@thomasahle @markchen90 There is { // TODO: } behind the toggle 1.4K views · 20 likes · 0 reposts · 0 replies Open on X →
@thomasahle @markchen90 this is a ChatGPT answer on that https://t.co/80s7flpT3N
2.6K views · 39 likes · 3 reposts · 0 replies Open on X →
@markchen90 What exactly does this setting do? https://t.co/rrbwn1u7h7
59.3K views · 525 likes · 18 reposts · 23 replies Open on X →
Two things to distinguish: Did any human or agent look at user data as part of the Navier Stokes effort? No. Do we use user feedback and de-identified data to improve ChatGPT and Codex in a holistic way? Yes. And so does every LLM company. 557.3K views · 2.1K likes · 109 reposts · 531 replies Open on X →
“we cannot rule out that de-identified data derived from their usage of our products helped improve our models.” i mean props to them for straight coming clean. (so far the proof looks more along the lines of another euler blowup proof we had, off of whose ansatz naming we were 1.5M views · 11.6K likes · 1K reposts · 237 replies Open on X →

Aynı büyüklükteki hesaplara karşı

Son 90 güne ait 6 gönderi, under 10K takipçi aralığıyla yan yana. takipçi aralığının tam medyanında.

Medyan görüntülenme31 090bu hesap4 700under 10K için medyan
Erişim, %341.87%bu hesap292.94%under 10K için medyan
Etkileşim, %1.23%bu hesap1.37%under 10K için medyan
ÖlçütBu hesapunder 10K için medyanOran
Gönderi başına medyan görüntülenme31 0904 7006.61×
Erişim (görüntülenme ÷ takipçi)3.4× audience2.9× audience1.17×
Etkileşim oranı1.23%1.37%0.90×

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

1.5M8 Sep
557.3K
59.3K
2.6K
1.4K
2.9K9 Sep

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.86%8 Sep
0.53%
0.98%
1.68%
1.48%
8.04%9 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for under 10K accounts is 1.37%.

What the audience does

Likes82.9%14 522 in total
Reposts6.6%1 160 in total
Replies4.5%795 in total
Quotes2.3%404 in total
Bookmarks3.6%637 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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