Zachary Lipton ✓

@zacharylipton · San Francisco, CA · joined 10 Jan 2009

Professor: CMU/@acmi_lab, Cofounder: @AbridgeHQ, Creator: @d2l_ai & https://t.co/QQt98VNLUp, Relapsing 🎷

68 771Followers

2 098Following

12 830Posts total

118.7KViews on collected posts

Derniers posts

Zachary Lipton ✓@zacharylipton10 Sep

Prior to 2012 just about nobody in the core software industry (MSR doesn’t count) paid much attention to academic CS publishing. Also, prior to 2012, academics actually read papers and judged you more on the quality than the quantity of those papers. Despite the low cost of 18.5K views · 169 likes · 13 reposts · 5 replies Open on X →

Zachary Lipton ✓@zacharylipton10 Sep

Apparently Apple has an internal model that folds recursively, keeping it hush to widen lead over Samsung. 4.2K views · 20 likes · 0 reposts · 2 replies Open on X →

Zachary Lipton ✓@zacharylipton10 Sep

Bold prediction: Long after the machines forget about Dario, Sam, and the rest of us entrepreneurs and scientists, they will remember Miles Davis. Who wants to triple dose peptides and sit out WWIII with me in Wyoming so that we can resolve this on what remains of Polymarket in 10.6K views · 72 likes · 0 reposts · 4 replies Open on X →

Zachary Lipton ✓@zacharylipton8 Sep

The era of author credit lasted ~3000 years. How long will the era of prompter-pilot credit last? 2.5K views · 16 likes · 0 reposts · 0 replies Open on X →

Zachary Lipton ✓@zacharylipton27 May

@zacharylipton Deep learning was a strange mix of math, engineering intuition, empirical experimentation, and taste. 994 views · 7 likes · 0 reposts · 1 replies Open on X →

Zachary Lipton ✓@zacharylipton27 May

@zacharylipton lol yes. half the papers feel like they work because everyone agreed the loss curve looked spiritually correct. then you ship a product and reality is much ruder. 686 views · 6 likes · 0 reposts · 0 replies Open on X →

Zachary Lipton ✓@zacharylipton27 May

@zacharylipton @andriy_mulyar Grad Student Descent was the og agent hyperparameter sweep 566 views · 6 likes · 0 reposts · 0 replies Open on X →

Zachary Lipton ✓@zacharylipton27 May

deep learning research was the original vibe math 80.7K views · 315 likes · 23 reposts · 15 replies Open on X →

Face aux comptes de taille comparable

4 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé largement, mais peu de ces spectateurs réagissent.

Vues médianes7 426ce compte1 012médiane pour 10K–100K

Portée, %10.80%ce compte3.76%médiane pour 10K–100K

Engagement, %0.68%ce compte1.67%médiane pour 10K–100K

Indicateur	Ce compte	Médiane pour 10K–100K	Rapport
Vues médianes par post	7 426	1 012	7.34×
Portée (vues ÷ abonnés)	10.80%	3.76%	2.87×
Taux d'engagement	0.68%	1.67%	0.41×

Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →

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

80.7K27 May

566

686

994

2.5K8 Sep

10.6K10 Sep

4.2K

18.5K

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

0.44%27 May

1.06%

0.87%

0.80%

0.65%8 Sep

0.72%10 Sep

0.52%

1.01%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.67%.

What the audience does

Likes80.6%611 in total

Reposts4.7%36 in total

Replies3.6%27 in total

Bookmarks11.1%84 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.

Derniers posts

Face aux comptes de taille comparable

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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