Standard Intelligence (@si

Standard Intelligence

89 posts

Standard Intelligence

@si_pbc

si.inc

Joined September 2024

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Standard Intelligence
@si_pbc
Feb 23
Computer use models shouldn't learn from screenshots. We built a new foundation model that learns from video like humans do. FDM-1 can construct a gear in Blender, find software bugs, and even drive a real car through San Francisco using arrow keys.
GIF
1.2M
Standard Intelligence reposted
Standard Intelligence
@si_pbc
Apr 30
We’ve raised 75m in new funding from Sequoia and Spark Capital—partnering with @sonyatweetybird, @MikowaiA, and @YasminRazavi, all of whom are deeply supportive of our long-term mission. We’ve also brought on angels & advisors including @karpathy, @tszzl, and @_milankovac_.
321K
Standard Intelligence reposted
🚀 Rocket
@rocketalignment
Apr 30
New from me this morning: standard intelligence has raised $75m @ $500m to develop computer use models Their hypothesis is that video pretraining gives a better action prior than text and screenshots ➡️ continual learning And their training runs are very brat
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Standard Intelligence
@si_pbc
Apr 30
Back when we were raising our seed round, Lachy was one of the only people in Silicon Valley who saw our idea, immediately got it, and wrote the check that let us train FDM-1. Incredibly grateful to have him as an early supporter.
Lachy Groom
@lachygroom
Apr 30
🥹 @si_pbc 🤝 @MikowaiA 🤝 @sonyatweetybird🤝 @lachygroom 🥹
12K
Standard Intelligence reposted
Milan Kovac
@_milankovac_
Apr 30
Replying to @si_pbc @sonyatweetybird and 4 others
Congratulations team! Amazing work so far and super excited to see what comes next 💪
9.3K
Standard Intelligence reposted
Andrej Karpathy
@karpathy
Apr 30
Replying to @si_pbc @sonyatweetybird and 4 others
VPT (openai.com/index/vpt/) blew my mind back in 2022 so I was very excited to see SI scale up the idea with FDM1, but for knowledge work / computer use. Excited and looking forward to more!
51K
Standard Intelligence reposted
carlo agostinelli
@carloagostinel2
Apr 30
There are very few moments in any decade where you come across a team with truly world-historic potential. I remember sitting down with Galen and Devansh and immediately knowing we had to find a way to work together. Partnering with the @si_pbc team has been, and continues to be,
Standard Intelligence
@si_pbc
Apr 30
We’ve raised 75m in new funding from Sequoia and Spark Capital—partnering with @sonyatweetybird, @MikowaiA, and @YasminRazavi, all of whom are deeply supportive of our long-term mission. We’ve also brought on angels & advisors including @karpathy, @tszzl, and @_milankovac_.
16K
Standard Intelligence
@si_pbc
Apr 30
We’ve raised 75m in new funding from Sequoia and Spark Capital—partnering with @sonyatweetybird, @MikowaiA, and @YasminRazavi, all of whom are deeply supportive of our long-term mission. We’ve also brought on angels & advisors including @karpathy, @tszzl, and @_milankovac_.
321K
Standard Intelligence
@si_pbc
Apr 30
Blogpost:
si.inc
A Brief Fundraising Update
We’ve raised $75M from Sequoia and Spark to build models that explore and learn like humans do.
8.9K
Standard Intelligence reposted
Sonya Huang 🐥
@sonyatweetybird
Apr 30
Article
Standard Intelligence's $75M Series A: Training General Intelligence in Pixel Space
The future of useful agents may begin not with text, but with pixels. By Sonya Huang Could pixels hold the keys to training useful agents? The race to scale language models — and the agent ecosystem...
77K
Standard Intelligence reposted
Deedy
@deedydas
Mar 5
Replying to @deedydas
Source: si.inc/posts/the-heap/ If you were wondering what they do with all that video:
Standard Intelligence
@si_pbc
Feb 23
Computer use models shouldn't learn from screenshots. We built a new foundation model that learns from video like humans do. FDM-1 can construct a gear in Blender, find software bugs, and even drive a real car through San Francisco using arrow keys.
GIF
si.inc
How to Rack 30 Petabytes of Storage
We built the heap, a 30 petabyte data storage cluster in downtown San Francisco, and spent under $500,000.
73K
Standard Intelligence reposted
roon
@tszzl
Feb 25
Replying to @tbpn @devanshpandey and @Roon
my blog post in ‘22 actually emphasizes the importance of adept (rip) but also just about the utility of being able to prompt a computer use agent - because a prompt is text and can be arbitrarily created, transformed, piped, split, forked, etc
scale.com
Text became the main way humans commanded computers.
Roon guest-authors a post on large language models and the future of computing.
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Standard Intelligence reposted
TBPN
@tbpn
Feb 25
Standard Intelligence's @devanshpandey responds to @tszzl's tweet that "text is the universal interface," and explains why their new foundation model is trained on video: "At some point in the arbitrarily long future, if we only use text models, we could force most things to be
00:00
roon
@tszzl
Oct 26, 2024
text is the universal interface
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Standard Intelligence reposted
yudhister
@yudhister
Feb 24
in other words: we've counterfactually accelerated the automation of white-collar labor by at least a month
Standard Intelligence
@si_pbc
Feb 23
Computer use models shouldn't learn from screenshots. We built a new foundation model that learns from video like humans do. FDM-1 can construct a gear in Blender, find software bugs, and even drive a real car through San Francisco using arrow keys.
GIF
14K