Ethan He ✓

@EthanHe_42 · Palo Alto, CA · joined 15 Mar 2015

ex world model lead @xAI | ex @Nvidia @Meta | 30+ papers, 9k citations | talk about AI, LLM, video generation, multimodal, AGI

37 212Followers

704Following

1 319Posts total

251.8KViews on collected posts

Neueste Beiträge

Ethan He ✓@EthanHe_4228 Aug

@EthanHe_42 Are you using Super @Grok? https://t.co/NsIWS9WXFo 9 views · 0 likes · 0 reposts · 1 replies Open on X →

Ethan He ✓@EthanHe_421 Jun

@EthanHe_42 @latentspacepod Ethan you are amazing 🙌🏽 2K views · 5 likes · 0 reposts · 0 replies Open on X →

Ethan He ✓@EthanHe_421 Jun

@latentspacepod Apple podcast: https://t.co/eMH1FzNSjk Spotify: https://t.co/UQKNOldLY0 transcript on Substack: https://t.co/jvxwiCk92c 5K views · 14 likes · 2 reposts · 1 replies Open on X →

Ethan He ✓@EthanHe_421 Jun

In @latentspacepod podcast, I shared my view on video generation, world models, LLMs, agents, continual learning and where the next frontier is. 1. Video models get most of their intelligence from language, not from video data. 2. Idea-to-code is fast now. The bottleneck is back 141.7K views · 380 likes · 40 reposts · 25 replies Open on X →

Ethan He ✓@EthanHe_421 Jun

https://t.co/xJAJLZhIWK 4.3K views · 48 likes · 4 reposts · 0 replies Open on X →

Ethan He ✓@EthanHe_421 Jun

"You can outsource thinking, but not understanding." I still find writing toy code one of the best ways to build real understanding. It catches the nuances that skimming code and explanations lets you skip. So I wrote nanoRL (nanoGPT, but for post-training). SFT, DPO, GRPO, ht 44.2K views · 771 likes · 53 reposts · 22 replies Open on X →

Ethan He ✓@EthanHe_4227 May

We applied AlphaGo's algorithm to video generation. Long video generation often breaks after a few extensions. We use MCTS to evaluate multiple continuations with look-ahead rollouts and backpropagated rewards. It produces long video while maintaining comparable visual https:// 31.3K views · 418 likes · 29 reposts · 16 replies Open on X →

Ethan He ✓@EthanHe_4226 May

Humans are the only species that spends 20% of their energy on the brain. Most animals are well below 10%. The brain is "useless" in the direct survival sense. It doesn't catch prey, doesn't run, doesn't fight. Spending 20% of precious calories on being smarter has to help https 18.3K views · 237 likes · 19 reposts · 24 replies Open on X →

Ethan He ✓@EthanHe_4222 May

NVIDIA-NeMo/DFM got archived this week. last summer a few of us bootstrapped it with 100k+ lines of code, scaling diffusion models to 100B+ with full 5D parallelism. that was months of painful grind. might be a weekend in this vibe coding era? on to the next one. https://t.co/UjX 5K views · 45 likes · 3 reposts · 2 replies Open on X →

Im Vergleich zu Konten gleicher Größe

1 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. erreicht weniger Menschen als vergleichbare Konten, bindet sie aber deutlich stärker.

Medianaufrufe9dieses Konto950Median für 10K–100K

Reichweite, %0.02%dieses Konto3.57%Median für 10K–100K

Interaktion, %11.11%dieses Konto1.96%Median für 10K–100K

Kennzahl	Dieses Konto	Median für 10K–100K	Verhältnis
Medianaufrufe pro Beitrag	9	950	0.01×
Reichweite (Aufrufe ÷ Follower)	0.02%	3.57%	0.01×
Interaktionsrate	11.11%	1.96%	5.67×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

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

5K22 May

18.3K26 May

31.3K27 May

44.2K1 Jun

4.3K

141.7K

928 Aug

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.00%22 May

1.54%26 May

1.49%27 May

1.93%1 Jun

1.21%

0.32%

0.34%

0.24%

11.11%28 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.96%.

What the audience does

Likes57.6%1 918 in total

Reposts4.5%150 in total

Replies2.7%91 in total

Quotes0.8%25 in total

Bookmarks34.4%1 145 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.

Neueste Beiträge

Im Vergleich zu Konten gleicher Größe

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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