Robotics Engineer, working on medical robots! 🩺

Bay Area, CA
Joined February 2024
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Replying to @parmita
I am really sorry to hear that, know that you do not deserve that and it’s completely unacceptable.
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robotics will not explode like ChatGPT. robotics is a: 1. models problem (YC hivemind overindexes on this) 2. supply chain problem (china FTW) 3. infrastructure problem this means that the adoption curve will be a lot more gradual. my favourite robotics companies are that see the bigger picture.
there is no ChatGPT moment for robotics capability can skyrocket “overnight” but adoption is the long horizon all the opportunity belongs to those who can make adoption work. its a game of march of 9s (reliability), the last mile (deployment), and keeping it running (support).
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Replying to @1899Netflix
I remember cancelling my Netflix subscription in protest
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Replying to @evermrelover
Is it dress?
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Replying to @_FromTheIsland
They will murder her right away
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Happy Pythagorean Theorem Day! 10/24/26 10² + 24² = 26² This is the last one we’ll experience in our lifetime.
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I was thinking about the exact same post
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I literally only built harnext so you never have to depend on claude code npmjs.com/package/@buildingt…
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Replying to @mattepstein
@augustdeploying no unique experience.
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Replying to @ProofofMaro
Its so hard to watch
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Replying to @augustdeploying
Whats mubi now.
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But did you run a DFMEA on your relationship before committing to the design?
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Get rotated, idiot.
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Taylor Swift's silence on the PHP CVE is deafening
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Rotate your social security number
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Replying to @Laz4rz
Part of the SF experience dude
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Replying to @Laz4rz
Hiking is always fun
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If your planner dies, your robot can keep executing the last command it received. That’s a problem in safety critical robotics systems. General code review models catch a lot, but they usually miss the robotics-specific safety stuff (stale commands, missing watchdogs, actuator limits, real-time bugs). So I built a Claude skill to check for those!! ⬇️ github.com/catplotlib/roboti…
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Robotics has a scaling problem that language models skipped. With LLMs, more data and compute mostly just worked. With robots, a new embodiment or a new environment can break the previous scaling curve. How do you even define a scaling law when the physical world keeps changing the rules?
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Replying to @augustdeploying
It is amazing !!
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