Moonlake
@moonlake · San Francisco, CA · joined 21 Aug 2025
World models and simulation infrastructure for robotics
10 697Followers
4Following
60Posts total
1.6MViews on collected posts
Последние посты
Ищем новые посты…
Our team shared the mission of building towards embodied general intelligence at AGI Summit.
@pmarca: software will eating the world.
@moonlake: verifiable world model will eat the physical world.
2.8K views · 13 likes
· 3 reposts · 1 replies
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🌐 Just wrapped this morning at AGI Summit—happening live now in San Francisco!
“Beyond Language: World Models, Spatial Reasoning, and Embodied Intelligence” featured Fan-Yun Sun, Christopher Manning, and Christian Laforte, moderated by Mercedes Bent.
Stay tuned for more live ht
5.1K views · 11 likes
· 3 reposts · 1 replies
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"We are producing controllable and manipulatable models of the world which we can then use to assess how good our render is against physical reality, work out the deviations, revise the code and make better and better representations" https://t.co/E7Nr7xYb0Q
5.4K views · 30 likes
· 9 reposts · 2 replies
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0:20
We are happy to announce that Moonlake AI has been named on the 2026 @CBinsights AI 100 list.
One of the 4 on infrastructure and world models. Read more here: https://t.co/gXpT7IqgDM https://t.co/L0x4MZtEhI
5.1K views · 38 likes
· 8 reposts · 3 replies
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@moonlake Let’s goo ! 👀 huge update from MoonLake.
This was the first game I ever made on MoonLake … let’s see what I can do now with this 🔥update 😏
https://t.co/Yf5Wtmhti0
4.2K views · 16 likes
· 0 reposts · 0 replies
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3D reasoning and modeling capabilities represents a 100B+/year category of work in simulations, games, and film/VFX because the verification process depends on having spatial, physical, and geometrical priors of the world.
Read more here: https://t.co/ViI4AkFmjZ
7K views · 45 likes
· 0 reposts · 2 replies
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It can also learning from a single human demonstration and generalize that workflow to other scenes and assets. https://t.co/ICjfJSCqyT
4.8K views · 40 likes
· 1 reposts · 1 replies
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0:10
Our agent can integrate natively with your existing pipelines; connect it to your digital asset management system and launch hundreds of jobs in a click. Don't spend hours on checking object states and naming or asset cleanup. Save time for what matters.
If you'd like to use our
7.5K views · 34 likes
· 0 reposts · 1 replies
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It can reconstruct fully-editable indoor and outdoor scenes from a single image. https://t.co/l6TtXmMqyr
5.2K views · 64 likes
· 0 reposts · 2 replies
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0:16
Since last month when we released an early preview of our agent, we've been collecting datasets of reasoning trajectories on world-building workflows. Today, we're bringing Blender computer use capabilities to it to automate real work and unlock more time for creative work.
7.8K views · 43 likes
· 1 reposts · 1 replies
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It can model assets from scratch, with separate parts and articulation without relying on any pre-defined rules. https://t.co/Jv0Up5jruk
6.5K views · 63 likes
· 2 reposts · 2 replies
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0:07
Introducing Moonlake's 3D Agent.
Our agent acts like a technical artist that can build and reconstruct articulated assets and large-scale editable scenes with hundreds of objects from a single image and can improve its generations continuously.
Learn more in the thread below. h
1.2M views · 1.4K likes
· 178 reposts · 42 replies
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0:30
Working on adding some chill music to my cozy manatee game 🎵🐋
Would you play a game like this? 🎮
Moonlake Creator Cup Day 6⃣
#gamedev #cozygames https://t.co/9RfWUKNXtr
5.5K views · 21 likes
· 2 reposts · 3 replies
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0:30
A deep dive into our latest work on controllable world models at Moonlake.
This Wednesday 5pm at Stanford.
4.4K views · 25 likes
· 1 reposts · 1 replies
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Pumped to be hosting @sunfanyun from @moonlake this Wednesday at 5pm for our next Speaker Series!
This event will be available to Stanford students only, but will be recorded & posted to our Youtube channel afterwards. https://t.co/hdCVA0GgGW
7K views · 26 likes
· 4 reposts · 0 replies
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Introducing a world built by the Moonlake's world model. 🏙️
Most world models only allow for a limited action space.
Moonlake maintains multimodal states across physics, appearance, geometry, and casual effects and predict how they evolve under different actions. 👇 https://t.co
385K views · 1.6K likes
· 192 reposts · 100 replies
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4:03
На фоне аккаунтов своего размера
1 постов за последние 90 дней рядом с диапазоном 10K–100K подписчиков. показывается широко, но откликается мало кто.
Медианные просмотры2 763этот аккаунт924медиана для 10K–100K
Охват, %25.83%этот аккаунт3.62%медиана для 10K–100K
Вовлечённость, %0.61%этот аккаунт1.52%медиана для 10K–100K
| Показатель | Этот аккаунт | Медиана для 10K–100K | Отношение |
|---|---|---|---|
| Медианные просмотры на пост | 2 763 | 924 | 2.99× |
| Охват (просмотры ÷ подписчики) | 25.83% | 3.62% | 7.14× |
| Вовлечённость | 0.61% | 1.52% | 0.40× |
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
4.4K20 Apr
5.5K29 Apr
1.2M
6.5K
7.8K
5.2K
7.5K
4.8K
7K
4.2K
5.1K6 May
5.4K3 Jul
5.1K18 Jul
2.8K27 Jul
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.62%20 Apr
0.47%29 Apr
0.14%
1.03%
0.58%
1.26%
0.47%
0.87%
0.67%
0.38%
0.96%6 May
0.75%3 Jul
0.29%18 Jul
0.62%27 Jul
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes61.2%3 456 in total
Reposts7.2%404 in total
Replies2.9%162 in total
Bookmarks28.7%1 621 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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