Susan Zhang ✓

@suchenzang · joined 27 Apr 2014

Always hungry for intelligence.

50 697Followers

1 418Following

3 925Posts total

114.1KViews on collected posts

Against accounts of the same size

8 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views8 028this account2 968median for 10K–100K

Reach, %15.83%this account9.18%median for 10K–100K

Engagement, %0.69%this account1.42%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	8 028	2 968	2.70×
Reach (views ÷ followers)	15.83%	9.18%	1.72×
Engagement rate	0.69%	1.42%	0.48×

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

9.6K3 Sep

40.7K

34.9K

3.6K

1.9K

16.6K

403

6.5K

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

0.89%3 Sep

0.63%

0.71%

1.31%

0.22%

0.66%

0.50%

1.91%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.42%.

What the audience does

Likes69.7%783 in total

Reposts1.7%19 in total

Replies6.2%70 in total

Quotes0.4%4 in total

Bookmarks22.0%247 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

*taps sign* there's no pausing this gravy train, the cat is far too out of the bag and boy was i naive to think that "enforceable standards" would be anything but regulatory capture silly me, no time like now to update these poor priors! https://t.co/VFsKxG1JJq 6.5K views · 112 likes · 9 reposts · 2 replies 03 Sep 2026 @suchenzang Wait until you learn what happens with token n+1, you won't believe the laziness 403 views · 2 likes · 0 reposts · 0 replies 03 Sep 2026 pack it up folks, it's all over. from now on we just need to parameter-reuse the singularity model ad infinitum and simply wait for the whirring machines to test-time-compute for as long as it needs in order to accomplish all of its goals in replacing humanity! we also solved 16.6K views · 104 likes · 1 reposts · 5 replies 03 Sep 2026 @suchenzang a happy coincidence then that that forwards pass flop time ain't all that precious now is it 1.9K views · 3 likes · 0 reposts · 1 replies 03 Sep 2026 @suchenzang chain of thought does that too tho 😭 3.6K views · 46 likes · 0 reposts · 1 replies 03 Sep 2026 what the helly is this... not spec dec, not disagg, but some lobotomized franken-glueing where the glued models are frozen? why? if you have access to latents, you probably also have access to model weights. freezing weights seem completely unnecessary, not to mention what kind 34.9K views · 213 likes · 4 reposts · 30 replies 03 Sep 2026 there is nothing more anti scaling pilled than spending precious forward pass flop time reusing the same params over and over 40.7K views · 226 likes · 2 reposts · 26 replies 03 Sep 2026 "Planes come and go, but the data center hum never stops." Welcome to the singularity, decel nimbys. Just gotta take one for the team, the American dream! https://t.co/WI042zYqwV 9.6K views · 77 likes · 3 reposts · 5 replies 03 Sep 2026