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

Latest posts

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 →

Against accounts of the same size

6 posts from the last 90 days, next to the under 10K follower range. right around the median for its follower range.

Median views31 090this account4 608median for under 10K

Reach, %341.87%this account287.50%median for under 10K

Engagement, %1.23%this account1.38%median for under 10K

Metric	This account	Median for under 10K	Ratio
Median views per post	31 090	4 608	6.75×
Reach (views ÷ followers)	3.4× audience	2.9× audience	1.19×
Engagement rate	1.23%	1.38%	0.89×

Others in this range → Compare with another account → How these benchmarks are built →

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 1.38%.

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.

Latest posts

Against accounts of the same size

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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