shariq
@shariq
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the future can be wonderful if we make it so
London
Joined November 2012
in an automated economy, the special purpose machines get built by increasingly general purpose machines. at the base level you have general purpose robots which make factories if that happens, let's hope it's good for all and not some crazy scenario -
@jessechenglyu the form factor which makes sense for a general purpose robot probably differs based on the environment in which it operates. different indoors, in the wilderness, ocean, air, and floating in space. they might also be different depending on the scale they operate at
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This could be the direction for the data pipeline for general intelligence in my opinion. It's really cool how much these robots can do, very clear the bottleneck is AI not being there yet
Nicer video of Alfie cleaning an office.. next up, we’re working with Buck Lewis ( https://t.co/zzdZJSBUP9 ) to redesign Alfie to be more ✨🫧⚡️
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Nicer video of Alfie cleaning an office.. next up, we’re working with Buck Lewis ( https://t.co/zzdZJSBUP9 ) to redesign Alfie to be more ✨🫧⚡️
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Long context windows probably get solved with various tricks, like with audio/image generation, or somehow operating in latent space
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We decided to rent a warehouse and set up a lost PLA investment casting line ourselves lol — this is the first test part. Surface quality should dramatically improve in the next few weeks with tweaks to the process
Would be cool if someone tried making turnkey lost PLA casting with chemical surface finishing a thing.. 3D print part with PolyCast PVA/support, chemical surface finish in a chamber, dip in slurry, dry slurry, burn off PLA in furnace, pour in metal in next furnace, break off
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Probably the most level headed view on where general purpose robotics AI is at today, recommend reading if you’re into that :) Not sure about the long horizons point, but otherwise all very sensible
There was a lot of good and interesting debate on "is scaling all we need to solve robotics?" at #CoRL23. I spent some time writing up a blog post about all the points I heard on both sides:
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Would be cool if someone tried making turnkey lost PLA casting with chemical surface finishing a thing.. 3D print part with PolyCast PVA/support, chemical surface finish in a chamber, dip in slurry, dry slurry, burn off PLA in furnace, pour in metal in next furnace, break off
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Prosper Robotics has built a robot that can do the cleaning, the dishes and the laundry, bringing a Jetsons-style future closer than ever
sifted.eu
Prosper Robotics has built a robot that can do the cleaning, the dishes and the laundry, but will it be affordable?
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The general purpose robotics race probably comes down to who gets to 10k-100k robots deployed first, to get the data needed
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Coming back from a week in a poorer city in the Philippines.. the hope for millions of people at call centres and outsourcing companies is now that they aggressively lead in adoption of AI and benefit from the increased productivity, instead of waiting for eventual decline
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So instead of optimising purely for short term clicks/views (System 1), there should be a way to make a System 2 choice about what to optimise for. Maybe it's how good you feel after; or how much you learned; or how little you regret it. It should be up to the user, and flexible
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Generative models (text/image/video) with lots of users could one day be optimised to maximise engagement, like FB/TikTok. Scary thought: our devices are already addictive; how much worse will they get? I think it's OK if we have System 2 control over our AI's reward function
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Weird that we don't have public figures with high approval ratings. Many public figures don't think it's possible, so it's a bit of a self fulfilling prophecy. Biggest factor in eroding trust in institutions: it starts as trust in people.
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