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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

Последние посты

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 →
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 →
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 →
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 →
@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 →
@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 →
@zacharylipton @andriy_mulyar Grad Student Descent was the og agent hyperparameter sweep 566 views · 6 likes · 0 reposts · 0 replies Open on X →
deep learning research was the original vibe math 80.7K views · 315 likes · 23 reposts · 15 replies Open on X →

На фоне аккаунтов своего размера

4 постов за последние 90 дней рядом с диапазоном 10K–100K подписчиков. показывается широко, но откликается мало кто.

Медианные просмотры7 426этот аккаунт1 012медиана для 10K–100K
Охват, %10.80%этот аккаунт3.76%медиана для 10K–100K
Вовлечённость, %0.68%этот аккаунт1.67%медиана для 10K–100K
ПоказательЭтот аккаунтМедиана для 10K–100KОтношение
Медианные просмотры на пост7 4261 0127.34×
Охват (просмотры ÷ подписчики)10.80%3.76%2.87×
Вовлечённость0.68%1.67%0.41×

Другие в этом диапазоне →   Сравнить с другим аккаунтом →   Как считаются эти ориентиры →

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.

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