Robotics and Deep learning, Local compute | coding oorb.io Hannibal ad portas. If you don't own your intelligence, you own nothing

bay area
Okay, my co-founders might not win any Oscars. Yet we created OORB Studio, an agentic platform for anyone to build, simulate, and deploy robots from the cloud (with project-wide context coming soon!) try the public beta now → oorb.io
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bro my intern is slandering me what the hell
our CTO is such a big larper
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trust me bro, just one more layer bro I swear @Azer_B_A probably
more vertical stuff coming to this bad boy
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more vertical stuff coming to this bad boy
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I don't think it will get any better
witnessing someone experience genuine AI psychosis is scary man
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went to an Italian restaurant and they gave me bread with my pasta, thank god I'm back in the Mediterranean
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I'm in Austin for Deep tech week, ping me if you want to talk about Robots
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meet us at ROSCon toronto and we will give you Tunisian snacks
Who else is going to ROSCon in Toronto this week? If you're deploying robots and fighting reliability issues, I'd like to meet. That's what we solve at OORB, and I mostly want to hear what people are actually running into on real sites. Coffee between talks works too! Ping me if you're going.
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- Are you deploying robots ? - Is it almost impossible to replicate specific scenarios and edge cases across hardware/software interactions ? Introducing oorb fingerprint, your reliability layer for deployment. compare and debug thousands of robot policy runs, in minutes .
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GPUs go brrrr indeed
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are you afraid of GEMM , anon ?
Literally just matrix multiplication btw
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claude get me a dope 2 fade
Mass A.I training is happening in India. It is hard to imagine what the world will look like in the next 5-10 years.
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same
so glad i never learned leetcode. i ignored it for it years and everything still worked out
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My new desk assistant is ready to be tested
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I got inspired by another post to create this web visualization and capture all the major players from every category in the foundational model economy, its very fun to play around with and see how deep some companies run. ~5T of valuations ( exluding MANGO ofc ) ~2100 companies 36 categories check it : llmeconomy.com ps : there's a lot of values and I was verifying most of them by hand but lmk if there's some outdated valuations or revenue figures that the LLM missed so I can update.
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the idea is taken from this post : nitter.net/__d_1ggin/status/20948…
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this is how anthropic looks like :
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this is how my long distance relationship is going ( worth it tho )
i still use claude when i need a woman's touch
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if he is learning, that's 100% the way to do it
Somebody in the cafe behind me is coding react manually Like a cave man
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same, I have the claude max plan and a 20$ plus plan for codex + a go plan for opencode, and I built this tool to help me go through every conversation I have an d optimize on the things wasting tokens + supervise what the model is spitting out based on its tool call traces, you would surprised how wasteful some models are ( more wasted tokens more contaminated context less efficiency -> more back and forth with the agent ), I also add a handoff functionality where if I hit limits on codex I will just handoff in one click and continue with claude code
What am I doing wrong? I wrote an entire app and submitted 450 PRs on a single $200 MAX plan in a month. What are people doing with thousands of dollars of tokens?
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I was talking to a friend about how I use my agents and a couple of custom tools that I built for my setup to help me be more efficient, maybe I should put the projects on github cuz they might be helpful to someone else
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