Susan Zhang ✓

@suchenzang · joined 27 Apr 2014

Always hungry for intelligence.

50 878Followers

1 421Following

3 948Posts total

621.6KViews on collected posts

Son gönderiler

Susan Zhang ✓@suchenzang3 Sep

*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 Open on X →

Susan Zhang ✓@suchenzang3 Sep

@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 Open on X →

Susan Zhang ✓@suchenzang3 Sep

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 Open on X →

Susan Zhang ✓@suchenzang3 Sep

@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 Open on X →

Susan Zhang ✓@suchenzang3 Sep

@suchenzang chain of thought does that too tho 😭 3.6K views · 46 likes · 0 reposts · 1 replies Open on X →

Susan Zhang ✓@suchenzang3 Sep

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 Open on X →

Susan Zhang ✓@suchenzang3 Sep

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 Open on X →

Susan Zhang ✓@suchenzang3 Sep

"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 Open on X →

Susan Zhang ✓@suchenzang28 Aug

@suchenzang they did a good job with my character 24.1K views · 396 likes · 1 reposts · 20 replies Open on X →

Susan Zhang ✓@suchenzang28 Aug

@suchenzang Bezos didn't make the cut lol https://t.co/Ngo5rbdT1P 4.8K views · 79 likes · 2 reposts · 0 replies Open on X →

Susan Zhang ✓@suchenzang27 Aug

@suchenzang I like that the creator included Palmer Luckey in the spaceship just to hate on him > Then gave him two bars and replaced him with Bryan Johnson cos he's not interesting enough to hold a whole verse 5.7K views · 68 likes · 0 reposts · 0 replies Open on X →

Susan Zhang ✓@suchenzang27 Aug

i'm sorry to my overlords, this was funnier than expected https://t.co/NpIhEnkeP5 472.9K views · 4.4K likes · 519 reposts · 105 replies Open on X →

Aynı büyüklükteki hesaplara karşı

Son 90 güne ait 12 gönderi, 10K–100K takipçi aralığıyla yan yana. geniş kitleye gösteriliyor, ama izleyenlerin azı tepki veriyor.

Medyan görüntülenme8 028bu hesap92410K–100K için medyan

Erişim, %15.78%bu hesap3.62%10K–100K için medyan

Etkileşim, %0.98%bu hesap1.52%10K–100K için medyan

Ölçüt	Bu hesap	10K–100K için medyan	Oran
Gönderi başına medyan görüntülenme	8 028	924	8.69×
Erişim (görüntülenme ÷ takipçi)	15.78%	3.62%	4.36×
Etkileşim oranı	0.98%	1.52%	0.65×

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

472.9K27 Aug

5.7K

4.8K28 Aug

24.1K

9.6K3 Sep

40.7K

34.9K

3.6K

1.9K

16.6K

403

6.5K

Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.08%27 Aug

1.19%

1.68%28 Aug

1.73%

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 1.52%.

What the audience does

Likes58.8%5 722 in total

Reposts5.6%541 in total

Replies2.0%195 in total

Quotes1.0%99 in total

Bookmarks32.7%3 180 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.

Son gönderiler

Aynı büyüklükteki hesaplara karşı

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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