Autoscience Institute

45 posts

Autoscience Institute

Autoscience Institute

@AutoScienceAI

Automating AI research

شامل ہوئے Ocak 2025
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پن کیا گیا ٹویٹ
Autoscience Institute
Autoscience Institute@AutoScienceAI·
Dario: “The biggest thing to watch is this issue of AI systems building AI systems.” Today, Autoscience is announcing $14M in funding by General Catalyst, Perplexity Fund and Toyota Ventures to create autonomous AI research labs. Human AI researchers can't keep up with the pace of new AI research. They’re out of time to run the experiments they want. So we’re building an autonomous AI lab that can. The era of human-scale R&D is over. Machine-scale development has begun. 🚀
Autoscience Institute tweet media
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Axios
Axios@axios·
🤖 This AI research lab is using AI to make AI models axios.com/2026/03/19/aut…
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Neil Natarajan
Neil Natarajan@neilenatarajan·
Super excited for and proud of the @AutoScienceAI team. Revolutionizing AI research with AI “autoscientists”!
Autoscience Institute@AutoScienceAI

Dario: “The biggest thing to watch is this issue of AI systems building AI systems.” Today, Autoscience is announcing $14M in funding by General Catalyst, Perplexity Fund and Toyota Ventures to create autonomous AI research labs. Human AI researchers can't keep up with the pace of new AI research. They’re out of time to run the experiments they want. So we’re building an autonomous AI lab that can. The era of human-scale R&D is over. Machine-scale development has begun. 🚀

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Perplexity Fund
Perplexity Fund@PerplexityFund·
Proud to back @AutoScienceAI -- Eliot and team are building autonomous AI research labs for the era of machine-scale discovery 🚀 from its system medaling at a Kaggle comp to authoring/publishing a peer-reviewed paper, Autoscience is definitely one to watch.
Autoscience Institute@AutoScienceAI

Dario: “The biggest thing to watch is this issue of AI systems building AI systems.” Today, Autoscience is announcing $14M in funding by General Catalyst, Perplexity Fund and Toyota Ventures to create autonomous AI research labs. Human AI researchers can't keep up with the pace of new AI research. They’re out of time to run the experiments they want. So we’re building an autonomous AI lab that can. The era of human-scale R&D is over. Machine-scale development has begun. 🚀

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Autoscience Institute
Autoscience Institute@AutoScienceAI·
Dario: “The biggest thing to watch is this issue of AI systems building AI systems.” Today, Autoscience is announcing $14M in funding by General Catalyst, Perplexity Fund and Toyota Ventures to create autonomous AI research labs. Human AI researchers can't keep up with the pace of new AI research. They’re out of time to run the experiments they want. So we’re building an autonomous AI lab that can. The era of human-scale R&D is over. Machine-scale development has begun. 🚀
Autoscience Institute tweet media
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Autoscience Institute ری ٹویٹ کیا
Chris Abshire
Chris Abshire@ChrisAbshire_·
Unbelievably thrilled to partner with @AutoScienceAI as they work to scale 100,000 AI research scientists to human-level performance and beyond.
Autoscience Institute@AutoScienceAI

Dario: “The biggest thing to watch is this issue of AI systems building AI systems.” Today, Autoscience is announcing $14M in funding by General Catalyst, Perplexity Fund and Toyota Ventures to create autonomous AI research labs. Human AI researchers can't keep up with the pace of new AI research. They’re out of time to run the experiments they want. So we’re building an autonomous AI lab that can. The era of human-scale R&D is over. Machine-scale development has begun. 🚀

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Ahmet Erdem
Ahmet Erdem@a_erdem4·
Probably gets 217th place on a Kaggle competition while burning money equal to the 1st place prize. (It can get 1st place in the first week of a competition though)
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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Autoscience Institute
Autoscience Institute@AutoScienceAI·
AI systems can write working code … but can they earn a medal on a live Kaggle competition with $50k in prizes?
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Undark Magazine
Undark Magazine@undarkmag·
AI systems dubbed “AI scientists” are being built to generate hypotheses, analyze data, and even publish research, prompting debate about how they might change the future of human-led science. f.mtr.cool/ylfdonfbxp
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