
Dan Grover
@DanGrover
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Product @standardbots. Prev. Meta, Tencent.
Oakland, CA
Joined February 2007
RT @Russell_MFG_USA: Just dictated 9 pages of single spaced text to describe picking up a steel bar, loading it to a saw then loading cut….
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Novel hardware design choices aside, I feel like more robots should be wearing straw-boaters.
Your bimanual manipulators might need a Robot Neck 🤖🦒. Introducing Vision in Action: Learning Active Perception from Human Demonstrations. ViA learns task-specific, active perceptual strategies—such as searching, tracking, and focusing—directly from human demos, enabling robust
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I feel utterly confused when people speak of generating PRDs with a prompt. If you don't know the requirements, how would the AI? If the prompt is meaningful, then just make the prompt the PRD.
Prompting is the new wireframing. The most valuable PMs in 2030 won't be those who write the best PRDs, they'll be those who can "talk" to AI most effectively. Start treating prompts like code: precise, testable, version-controlled.
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Love everything about this. More knives, less avocado slicers, please!.
New longform @inkandswitch essay! 📜. Malleable Software.by me, Josh Horowitz, @pvh and Todd Matthews. It's about why people need agency over their software tools, and how to make that happen. Here's the quick tl;dr. 1/.
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Thing with places where you can't talk to users is's usually a separate, priestly class of UXR/designer/ops that make a big deal out of abstracting into personas and stories, etc. Sometimes helpful, sometimes divorces us from intuitive signal we get from talking to actual humans.
my friend & i were discussing how we both worked at places where the people working on the products just simply stopped talking to their users. this may seem obvious to some but why is that? it’s because incumbents have two customers: shareholders & users. the longer they have.
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Part of me always wonders whether "robot GPT" is wrong goal. In short term, particularly in industrial env, there are oodles of un-automated tasks that transformer models could be applied to. The robot doesn't need to generalize or follow natural language prompts: it needs to do.
Assuming that we need ~2 trillion tokens to get to a robot GPT, how can we get there? I went through a few scenarios looking at how we can combine simulation data, human video data, and looking at the size of existing robot fleets. Some assumptions:.- We probably need some real
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Sometimes I am glad I moved to Oakland in my late 20s. I get to just run around the lake and eat hot chicken sandwiches. That is pretty much what is going on over here.
pov: living in SF in your 20s–30s is basically the Hunger Games:. - the reaping: founding engineers who give up on their founder dreams .- Blue Bottle SoMa is the pregame showcase.- everyone is trauma bonded, no one wins .- Katniss: emotionally unavailable tech bro/sis you keep.
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