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

Postingan terbaru

Thomas Ahle ✓@thomasahle9 Sep

@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 →

Thomas Ahle ✓@thomasahle8 Sep

@thomasahle @markchen90 There is { // TODO: } behind the toggle 1.4K views · 20 likes · 0 reposts · 0 replies Open on X →

Thomas Ahle ✓@thomasahle8 Sep

@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 →

Thomas Ahle ✓@thomasahle8 Sep

@markchen90 What exactly does this setting do? https://t.co/rrbwn1u7h7

59.3K views · 525 likes · 18 reposts · 23 replies Open on X →

Thomas Ahle ✓@thomasahle8 Sep

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 →

Thomas Ahle ✓@thomasahle8 Sep

“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 →

Dibandingkan akun berukuran sama

6 postingan dari 90 hari terakhir, dibandingkan dengan rentang under 10K pengikut. tepat di median untuk rentang pengikutnya.

Median tayangan31 090akun ini4 700median untuk under 10K

Jangkauan, %341.87%akun ini292.94%median untuk under 10K

Interaksi, %1.23%akun ini1.37%median untuk under 10K

Metrik	Akun ini	Median untuk under 10K	Rasio
Median tayangan per postingan	31 090	4 700	6.61×
Jangkauan (tayangan ÷ pengikut)	3.4× audience	2.9× audience	1.17×
Tingkat interaksi	1.23%	1.37%	0.90×

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

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.

Postingan terbaru

Dibandingkan akun berukuran sama

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Akun serupa