Videos zgNvts_2TUE
State of the Claw — Peter Steinberger
Scene timeline
162 shot(s).
keyframes kept every frame deduplicated
What was stored
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- whisperx 568
- chunks
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- keyframes
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- frames with text
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- chapters
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Provenance
| stage | state | model | started | took |
|---|---|---|---|---|
fetch |
done | — | 2026-08-10 01:09 | 2m 46s |
stt |
done | — | 2026-08-10 01:12 | 43s |
chunk |
done | — | 2026-08-10 01:13 | 0s |
text_embed |
done | — | 2026-08-10 19:45 | 1s |
keyframe |
done | — | 2026-08-10 01:13 | 4m 27s |
ocr |
done | — | 2026-08-10 01:17 | 1m 23s |
frame_embed |
done | — | 2026-08-10 19:45 | 26s |
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Transcript
568 cues· 6,341 words· 33,489 chars
- 0:15 Our next presenter is the creator of OpenClaw, the world's fastest growing open source AI.
- 0:22 He recently joined OpenAI to work on bringing agents to everyone.
- 0:26 Please join me in welcoming to the stage Peter Steinberger.
- 0:52 Good morning, everyone.
- 0:57 So Swiss asked me to do a state of the claw.
- 1:01 Who here is running open claw?
- 1:03 Give me some hands.
- 1:05 Oh, it's like 30%, 40%.
- 1:07 Very good.
- 1:10 Yeah.
- 1:10 It's been quite a few months.
- 1:16 The project is now five months old.
- 1:20 I think it's fair to say by now that we are the fastest growing project in GitHub's history.
- 1:25 If you've seen the graph, usually it's some projects look like a hockey stick, but also just like a straight line, and a friend called it stripper pole growth.
- 1:38 And that comes with its own challenges.
- 1:39 So we have, I think now we are the
- 1:43 the largest number on GitHub stars.
- 1:45 There's a few that are bigger, but they're basically an educational target.
- 1:48 No other software project is that big.
- 1:51 It's around 30,000 commits.
- 1:54 They're closing in 2,000 contributors, soon to be 30,000 PRs.
- 2:04 And we're not slowing down.
- 2:06 So you see that it's a ramp.
- 2:08 But you know, we only have April 9.
- 2:13 So velocity keeps being good.
- 2:20 And at the same time, it hasn't been easy.
- 2:26 I had two roads when I decided what I want to do.
- 2:29 And I did the whole company thing.
- 2:31 I was like, I don't want to do this again.
- 2:33 And then I joined OpenUI.
- 2:35 But then we also created the OpenCloud Foundation.
- 2:37 And now I kind of have two jobs.
- 2:39 And running the foundation is like running a company in hard mode, because you have all the things that you need to take care of.
- 2:48 But also, you have a lot of volunteers that you can't really direct.
- 2:54 One of my goals has been working on the bus vector, like who does commits.
- 3:00 And you see that it's slowly improving.
- 3:04 Vincent's actually talking after me.
- 3:06 But we're still not there.
- 3:11 In the last months, I talked to a lot of companies.
- 3:16 So we now have people from NVIDIA on board.
- 3:19 We have someone from Microsoft on board to help with MS Teams with a Windows app.
- 3:25 We have someone from Red Hat who's really helping us with security and Dockerization.
- 3:30 We work with a lot of Chinese companies.
- 3:32 We have people from Tencent and ByteDance.
- 3:36 They're actually much larger users than any other continent.
- 3:42 And we have people from pretty much around the world.
- 3:45 But the main thing I want to talk a little bit about is about Open Claw is so insecure.
- 3:51 You've seen the memes of Open Claw invites the bad guys.
- 3:59 And you've probably also seen companies like Nvidia doing Nemo Claw, and everyone has little lobsters.
- 4:13 So you also notice that in the last two, three months, there's been a lot of releases where things broke.
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Chapters
- 0:00 Project Growth and Statistics
- 2:23 Management Challenges and the OpenClaw Foundation
- 3:47 Addressing Security Advisories and Vulnerabilities
- 10:33 Misinformation and Media Fearmongering
- 14:50 The Burden of Open Source Maintenance
- 16:12 OpenAI Involvement and Future Independence
- 18:57 Audience Q&A Begins
- 19:53 OpenClaw's Relationship with OpenAI
- 22:28 The Importance of Open and Local Models
- 24:57 Coding Workflow and Agent Interactions
- 28:28 Defining 'Taste' in AI Development
- 30:31 Developing Personality for AI Agents
- 33:22 Future Vision: Ubiquitous Agents and Smart Homes
- 35:58 Addressing Prompt Injection Risks
- 38:33 Future Vision: Implementing 'Dreaming' and Modularity
- 40:24 Life as a Maintainer and Future Skills