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

Últimas publicaciones

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 →

Frente a cuentas del mismo tamaño

4 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a mucha gente, pero pocos de esos espectadores reaccionan.

Visualizaciones medianas7 426esta cuenta1 012mediana de 10K–100K

Alcance, %10.80%esta cuenta3.76%mediana de 10K–100K

Interacción, %0.68%esta cuenta1.67%mediana de 10K–100K

Métrica	Esta cuenta	Mediana de 10K–100K	Proporción
Visualizaciones medianas por publicación	7 426	1 012	7.34×
Alcance (visualizaciones ÷ seguidores)	10.80%	3.76%	2.87×
Tasa de interacción	0.68%	1.67%	0.41×

Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →

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.

Últimas publicaciones

Frente a cuentas del mismo tamaño

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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