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ResearchPaper.Eth: Web3 Marketplace for Research Paper NFTs
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Autonomous Vehicles: The Future of Shared Mobility Without Steering Wheels
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this isnt even the final form. once you can command cars by app (and voice, of course)… you can rip out the steering wheel and have people facing each other. @kvogt “it’s not a product you buy, it’s an experience you share.” No.
More.
Parking. https://
youtu.be/TGe4sOHYiXc -
Unlocking Reasoning Capabilities in Smaller Language Models
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Unlocking reasoning in smaller language models is a great direction
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Autonomous Vehicle Handles San Francisco Hills Successfully
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i got a nighttime joyride with @alexbowe recently and while we couldnt test heavy traffic, we pointed the car at the most challenging road we could think of inside the drivable zone – the incline squiggly road in Potrero Hill.
— swyx 🇸🇬 (@swyx) 18 novembre 2022
SF is a hilly city but was handled like a champ. pic.twitter.com/Eh2dBc8ARWi got a nighttime joyride with @alexbowe recently and while we couldnt test heavy traffic, we pointed the car at the most challenging road we could think of inside the drivable zone – the incline squiggly road in Potrero Hill. SF is a hilly city but was handled like a champ.
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Cruise Achieves Major Autonomous Taxi Milestone in San Francisco
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This is a HUGE milestone.
— swyx 🇸🇬 (@swyx) 18 novembre 2022
I don’t think people outside SF have any idea how close we are to self driving. Most people think it’s “continually 5 years away”.
This is no joke. Cruise now has “push button, get car” autonomous taxis 24hrs/day in one of the busiest cities on earth. https://t.co/d2DrC8Trh0This is a HUGE milestone. I don’t think people outside SF have any idea how close we are to self driving. Most people think it’s “continually 5 years away”. This is no joke. Cruise now has “push button, get car” autonomous taxis 24hrs/day in one of the busiest cities on earth.
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Scaling Language Models: Neural Networks as General-Purpose Text Computers
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TLDR: LMs have been around forever. Not obvious finding: turns out that if you scale up the training set and use a powerful enough neural net (Transformer), the network becomes a kind of general-purpose computer over text.
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A Decade of AI Progress: Language Models and Neural Networks
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I wrote this thread because I spent the last ~decade, obsessing over directions that would make fastest progress in AI, and was very interested in language models (e.g. my semi-famous 2015 post "The Unreasonable Effectiveness of Recurrent Neural Networks" https://
karpathy.github.io/2015/05/21/rnn
-effectiveness/
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Mispredicting scaling potential: Early distraction with reinforcement learning
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But I still mispredicted in how much fertile ground there was in scaling up the paradigm. Like many others in AI I got distracted by Reinforcement Learning too soon, a kind of putting the cart before the horse, …
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GPT as a General-Purpose Computer Reconfigurable via Natural Language Programs
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If previous neural nets are special-purpose computers designed for a specific task, GPT is a general-purpose computer, reconfigurable at run-time to run natural language programs. Programs are given in prompts (a kind of inception). GPT runs the program by completing the document
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Transformer: The Critical Unlock Technology for General-Purpose AI
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So the first critical "unlock technology" is the Transformer, a neural net architecture powerful enough to become a general-purpose computer. I've written more about this here: 1) https://
x.com/karpathy/statu
s/1582807367988654081
… and 2)