Peter Steinberger 🦞

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Peter Steinberger 🦞 banner
Peter Steinberger 🦞

Peter Steinberger 🦞

@steipete

Polyagentmorous ClawFather. Came back from retirement to mess with AI and help a lobster take over the world @openclaw🦞

Vienna & London Katılım Mart 2009
2.3K Takip Edilen455.2K Takipçiler
Peter Steinberger 🦞
@k_schellinger We don’t limit what skills are on there except for malicious things, but since it’s just text you should be fine.
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Troy
Troy@TroyXai·
@BradGroux @steipete @Jason @twistartups Openclaw was historic. the tipping point to be frank, but I’m confused about what we’re protecting. community growth? If so, ok 🙌 it’s a foundation by which many began the agentic AI journey, but…not to be discouraging “Claude, let’s make our own ‘OpenClaw’ from scratch.” 🤷‍♂️
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Peter Steinberger 🦞 retweetledi
Brad Groux
Brad Groux@BradGroux·
If you care about the future of OpenClaw, be sure to follow Dave - he's on the board with @steipete and they are working together to protect the future of the project. Check out his conversation about the Foundation with @jason and @TWiStartups - youtube.com/watch?v=KEHMoI…
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Dave Morin 🦞@davemorin

🦞 Been working with Peter Steinberger (@steipete) on the OpenClaw Foundation structure for weeks. A home for thinkers and hackers and those that want to own their data. Honored to serve as the founding independent board member. This community built something extraordinary, our job is to protect it. Open source forever. Excited to share more soon.

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Kfir Gollan
Kfir Gollan@kfirgollan·
@BentoBoiNFT @steipete would to love to hear your thoughts on this. To me it seems that automation/agents flow in OpenClaw is currently more geared towards autonomous operation. But, there is no question that the Claude code team are doing amazing work. Pushing ahead at lighting speed
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BentoBoi
BentoBoi@BentoBoiNFT·
Why would anyone choose OpenClaw vs Claude Code? Claude now has: • Discord/Telegram integration • Cron Jobs (/loop) • 1M token memory • Webhooks to phone • Can run 24/7 on any Computer or Mac Mini This covers 95% of what people actually use OpenClaw for with better security and easier setup The only reason to stick with OpenClaw is if you want a multi-agent setup. That's the only difference I could think of Going to stick with OpenClaw for now because of this, but the gap is almost at zero
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E L I J A H
E L I J A H@iamelijahkhan·
Ah you're right, just checked. However it's a bit barebones. I think some form of upgrade to it would be very helpful. Upvotes, downvotes, someway where it promotes discussion on each skill. Also moving it up (currently right at the bottom), and adding a link at the top saying "View Comments" too.
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Peter Steinberger 🦞 retweetledi
gabriel
gabriel@gabriel1·
i was skeptical of the openclaw concept first, but turned out i was just stupid very visionary product. perfectly predicted and made it obvious how having access EVERYTHING from ANYWHERE to do ANY work is clearly how the world will run very soon
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AI攻城师
AI攻城师@broadvideo_us·
@steipete Will ClawHub support billing for specific plugins?
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E L I J A H@iamelijahkhan·
@steipete Can we get a comments section on ClawHub please?
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Peter Steinberger 🦞 retweetledi
Peter Steinberger 🦞 retweetledi
Aakash Gupta
Aakash Gupta@aakashgupta·
Cursor is raising at a $50 billion valuation on the claim that its “in-house models generate more code than almost any other LLMs in the world.” Less than 24 hours after launching Composer 2, a developer found the model ID in the API response: kimi-k2p5-rl-0317-s515-fast. That’s Moonshot AI’s Kimi K2.5 with reinforcement learning appended. A developer named Fynn was testing Cursor’s OpenAI-compatible base URL when the identifier leaked through the response headers. Moonshot’s head of pretraining, Yulun Du, confirmed on X that the tokenizer is identical to Kimi’s and questioned Cursor’s license compliance. Two other Moonshot employees posted confirmations. All three posts have since been deleted. This is the second time. When Cursor launched Composer 1 in October 2025, users across multiple countries reported the model spontaneously switching its inner monologue to Chinese mid-session. Kenneth Auchenberg, a partner at Alley Corp, posted a screenshot calling it a smoking gun. KR-Asia and 36Kr confirmed both Cursor and Windsurf were running fine-tuned Chinese open-weight models underneath. Cursor never disclosed what Composer 1 was built on. They shipped Composer 1.5 in February and moved on. The pattern: take a Chinese open-weight model, run RL on coding tasks, ship it as a proprietary breakthrough, publish a cost-performance chart comparing yourself against Opus 4.6 and GPT-5.4 without disclosing that your base model was free, then raise another round. That chart from the Composer 2 announcement deserves its own paragraph. Cursor plotted Composer 2 against frontier models on a price-vs-quality axis to argue they’d hit a superior tradeoff. What the chart doesn’t show is that Anthropic and OpenAI trained their models from scratch. Cursor took an open-weight model that Moonshot spent hundreds of millions developing, ran RL on top, and presented the output as evidence of in-house research. That’s margin arbitrage on someone else’s R&D dressed up as a benchmark slide. The license makes this more than an attribution oversight. Kimi K2.5 ships under a Modified MIT License with one clause designed for exactly this scenario: if your product exceeds $20 million in monthly revenue, you must prominently display “Kimi K2.5” on the user interface. Cursor’s ARR crossed $2 billion in February. That’s roughly $167 million per month, 8x the threshold. The clause covers derivative works explicitly. Cursor is valued at $29.3 billion and raising at $50 billion. Moonshot’s last reported valuation was $4.3 billion. The company worth 12x more took the smaller company’s model and shipped it as proprietary technology to justify a valuation built on the frontier lab narrative. Three Composer releases in five months. Composer 1 caught speaking Chinese. Composer 2 caught with a Kimi model ID in the API. A P0 incident this year. And a benchmark chart that compares an RL fine-tune against models requiring billions in training compute without disclosing the base was free. The question for investors in the $50 billion round: what exactly are you buying? A VS Code fork with strong distribution, or a frontier research lab? The model ID in the API answers that. If Moonshot doesn’t enforce this license against a company generating $2 billion annually from a derivative of their model, the attribution clause becomes decoration for every future open-weight release. Every AI lab watching this is running the same math: why open-source your model if companies with better distribution can strip attribution, call it proprietary, and raise at 12x your valuation? kimi-k2p5-rl-0317-s515-fast is the most expensive model ID leak in the history of AI licensing.
Harveen Singh Chadha@HarveenChadha

things are about to get interesting from here on

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Peter Steinberger 🦞 retweetledi
Oskar Groth
Oskar Groth@oskargroth·
Wasn't joking about this one btw You can reverse-engineer pretty much any part of Apple platform internals in seconds using Claude or Codex with Hopper MCP
Oskar Groth@oskargroth

@sids7 Connect to Hopper MCP and it’s basically as good as having access to all of Apple’s internal source code

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Mario Zechner
Mario Zechner@badlogicgames·
time to clone Claude Code channels: -13 days. and anthropic even named it the same as the preexisting pi extension (not saying they cloned it, and even if, GG!). that's hilarious.
JB Cornac@jdkornac

@badlogicgames @e9n/pi-channels" target="_blank" rel="nofollow noopener">npmjs.com/package/@e9n/p… Already exists and it’s even called the same lol

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Peter Steinberger 🦞 retweetledi
Marc Andreessen 🇺🇸
OpenClaw and Pi together are in the top 10 of all time software breakthroughs.
Chrys Bader@chrysb

folks who are calling @openclaw pure hype are telling on themselves openclaw is like the early internet, it's raw, unrefined, and takes a little doing to get things to work, but when you figure it out, it's transformative. here are some real use cases that are having material impact on our $2.5M ARR business: 1. ad creative pipeline. our head of growth @ArjunShukl95550 built an end-to-end creative pipeline to go from ideation to publish adds to meta, greatly increasing our creative iteration speed. it's producing winning creatives. it lives in slack, and anyone on the team can share their ideas and have them enter the pipeline. 2. data analytics agent. another bot lives in our slack that connects to bigquery and lets our team ask any questions of the data, it produces charts and answers questions in real time. no one needs to write SQL anymore. 3. recruiting. i told my agent about a role we're hiring for, and it scoured linkedin and the web, found 30 candidates, portfolio, email addresses, and stack ranked them based on fit with our criteria this is just in the past week. i have twenty more success stories for you i can share another time. you have to understand, this is the shittiest it will ever be. everyone is going to have one or more personal self-improving agents that they use every day, and openclaw is what revealed this future to us. if you can't see this, i encourage you to look harder there will be many competitors (and already are), and the large labs will start to converge on this (they already are) too. openclaw may not win, but it opened pandora's box and uncorked the agentic future.

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Peter Steinberger 🦞 retweetledi
gabriel
gabriel@gabriel1·
me and everyone around me prompt codex and chatgpt with voice. the more decisions you can spit out to codex the better your code will be, so you're only interface limited the "everyone will use speech" guys were right, just 234 products and 18344 softwares too early
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Peter Steinberger 🦞
@Nikokow Apple’s stance with downloadable code is nothing new, always borderline, even React Native updates are only supposed to fix bugs.
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Nikolaï Roycourt
Nikolaï Roycourt@Nikokow·
@steipete I know you already know, we're both iOS veteran😄 but those website are spreading misinformation with clickbait titles, and people are sharing it blindly, not even searching if this is true or reading the article content...
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