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@basedmachina
WHITE LIGHT WHITE HEAT
Paris, France Katılım Eylül 2017
447 Takip Edilen558 Takipçiler
@signoremosca Ich fahre nur dort. Auf meinem reservierten Platz hat man mich noch nie gesehen.
Deutsch
I have abandoned all intellectual pursuits and have fallen into a warm embrace with the ice cold lager they serve on the goy express. Lang lebe Deutschland
mensch@signoremosca
Hello friends good morning…. I will be on train for many hours today… can anyone recommend introduction to statistics text? Lecture mayb? Otherwise I just get drunk and piss myself in food cart…. Also ok :)
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@1owroller You had several lizards in your house for like a year now , are you feeding them
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Riding in an uber in NYC makes me feel like I’m in fucking Kabul Afghanistan
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Ernst Jünger really was a great writer, btw
Deutsch
@ludwigABAP @rieszspieces there will never be another white chocolate, sad
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there will never be another curry
Hoops@Hoopss
There will be another Curry before there’s another LeBron…think about that.
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The simulators for autoresearch-style loops already exist across dozens of fields:
robotics (MuJoCo); autonomous driving (CARLA); drug design (Rosetta), fluid dynamics (OpenFOAM); trading (Backtrader).
These were built for labs with massive compute. But now anyone with a single GPU can run narrow experiment slices overnight.
We believe there is a billion-dollar opportunity is someone who can plug these simulators into the autoresearch pattern, coordinate fragmented single-GPU contributions across niche verticals, and synthesize the results into real progress.
Decentralized research infrastructure is wide open. Research is invisible.
If you are building this, talk to us. Vertical specific optimization will win.
Andrej Karpathy@karpathy
I packaged up the "autoresearch" project into a new self-contained minimal repo if people would like to play over the weekend. It's basically nanochat LLM training core stripped down to a single-GPU, one file version of ~630 lines of code, then: - the human iterates on the prompt (.md) - the AI agent iterates on the training code (.py) The goal is to engineer your agents to make the fastest research progress indefinitely and without any of your own involvement. In the image, every dot is a complete LLM training run that lasts exactly 5 minutes. The agent works in an autonomous loop on a git feature branch and accumulates git commits to the training script as it finds better settings (of lower validation loss by the end) of the neural network architecture, the optimizer, all the hyperparameters, etc. You can imagine comparing the research progress of different prompts, different agents, etc. github.com/karpathy/autor… Part code, part sci-fi, and a pinch of psychosis :)
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I used to live right next to it. There is a little house right behind the towers, they call it 'Sterbehaus' which means smth like 'house where you go to die', and that's where they put their former board members for the end of their careers.
yung macro 宏观年少传奇@apralky
In the midst of all of this can we take a moment to appreciate the thrilling beauty of their Frankfurt office
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