microchips for cows | prev at caltech

Joined December 2016
73 Photos and videos
there’s a huge opportunity for an AI-native robotics SI. as the physical economy (restaurants, factories, etc) adopts robotics, companies will need help making it actually work. process planning, compliance, hardware customization, sensor feedback loops, and way more.
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. @altium you’re next buddy
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Introducing Claude Design by Anthropic Labs: make prototypes, slides, and one-pagers by talking to Claude. Powered by Claude Opus 4.7, our most capable vision model. Available in research preview on the Pro, Max, Team, and Enterprise plans, rolling out throughout the day.
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for this to happen - for the public to excitedly embrace AI - companies and capital must flow to more obviously inspired missions. “accelerating workflows” etc may be good business. but it will be progress in healthcare, ag, space, etc that galvanizes everyday Americans.
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Computer use models are driving cars like a video game and you’re black-pilling?? Get it together, anon!
Computer use models shouldn't learn from screenshots. We built a new foundation model that learns from video like humans do. FDM-1 can construct a gear in Blender, find software bugs, and even drive a real car through San Francisco using arrow keys.
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everyone talks about the Bay and LA, but Central California is underrated cows, coast, and country what more could you want?
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my CTO has been like this for the past 12 hours. unclear what to do. please send help.
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forward deployed C-suite
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the ideal desktop
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astronomical AI valuations in startups assume rocketship AI adoption throughout the economy. but such growth will likely take far longer than current valuations price it at. ex: dot com value realized in 15 years, not 5. in most verticals, real value isn’t unlocked overnight.
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forward deploy asap
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recent CNC quote cheapest American shop: $800 cheapest Chinese shop: $350 $400 for tariffs reindustrialization must push down American costs so it makes sense to go domestic. tariffs to inflate foreign pricing is not the way to compete.
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build dangerous things
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beta testing ✅
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Thrilled to share what we’ve been up to :)
Nexa (nexa.farm) builds implantable “FitBits” and AI for cattle monitoring, starting with the nearly 90M cattle in America. They empower farmers with early disease detection and reproductive insights to save time and money. ycombinator.com/launches/OAs… Congrats on the launch, @ZarifAzher, @zhangalvin_, @kennychan256, and @sam14_xie!
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find your herd
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“so what’s it like to build a startup?”
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lesson: build with your friends
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there are massive industries in non-Western countries waiting to be transformed by AI robotics garments in Bangladesh, lithium mining in Indonesia, etc few homegrown startups = China filling the void American companies and VCs should lay off b2b saas for a sec and compete.
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talk to your customers they said
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There’s a myth going around that college classes are a useless waste of time. It’s wrong. Standard CS classes aren’t worth it. But if you want to do *hard* things like design quantum ICs or invent new vaccines: Your college classes labs will teach you better than GPT.
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