Tara Rezaei

113 posts

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Tara Rezaei

Tara Rezaei

@tararezaeikh

@MirendilAI, mit ‘26, prev openai, prod

参加日 Haziran 2023
407 フォロー中2.9K フォロワー
Behnam Neyshabur
Behnam Neyshabur@bneyshabur·
Today, I’m excited to formally announce @MirendilAI with my amazing co-founders Harsh Mehta, Shayan Salehian, and Tara Rezaei! We’re fortunate to work with @a16z and @kleinerperkins, who led our seed round of $200M, followed by a major investment from NVIDIA, among others. Mirendil exists to accelerate science and technology, and through them, to help solve humanity's most pressing problems. Self-accelerating AI R&D is the most direct path to delivering on AI's broader promise, which is why we believe the most important application of AI is AI itself. Get this loop right, and it compounds. It fundamentally changes the rate of progress itself across all domains. We believe this capability should be democratized. It should be used to power all scientific efforts trying to innovate at the frontier. There are far more important problems—and broader ones—than any single lab can take on, so more groups should be able to pursue them. This pulls concentration of power away from a few labs: businesses and science labs can own their AI and infrastructure, keep their margins, and control their own destiny instead of ceding it all to a single AI lab. We’re a small team with a singular focus. Our founding team consists of 20 researchers and engineers from frontier institutions including Anthropic, xAI, Google DeepMind, and OpenAI, united by a passion for science and a drive to build the technologies that move it faster. If you want to build the system that builds systems, join us! @HarshMeh1a, @shayan_, @tararezaeikh
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Marc Andreessen 🇺🇸
It’s time to accelerate science and technology!
Behnam Neyshabur@bneyshabur

Today, I’m excited to formally announce @MirendilAI with my amazing co-founders Harsh Mehta, Shayan Salehian, and Tara Rezaei! We’re fortunate to work with @a16z and @kleinerperkins, who led our seed round of $200M, followed by a major investment from NVIDIA, among others. Mirendil exists to accelerate science and technology, and through them, to help solve humanity's most pressing problems. Self-accelerating AI R&D is the most direct path to delivering on AI's broader promise, which is why we believe the most important application of AI is AI itself. Get this loop right, and it compounds. It fundamentally changes the rate of progress itself across all domains. We believe this capability should be democratized. It should be used to power all scientific efforts trying to innovate at the frontier. There are far more important problems—and broader ones—than any single lab can take on, so more groups should be able to pursue them. This pulls concentration of power away from a few labs: businesses and science labs can own their AI and infrastructure, keep their margins, and control their own destiny instead of ceding it all to a single AI lab. We’re a small team with a singular focus. Our founding team consists of 20 researchers and engineers from frontier institutions including Anthropic, xAI, Google DeepMind, and OpenAI, united by a passion for science and a drive to build the technologies that move it faster. If you want to build the system that builds systems, join us! @HarshMeh1a, @shayan_, @tararezaeikh

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Tara Rezaei
Tara Rezaei@tararezaeikh·
Today, we are formally announcing @MirendilAI. Mirendil exists to be a straight shot at solving bottlenecks to step-change acceleration across all areas of science and technology. If you are excited about this mission, feel free to reach out.
Behnam Neyshabur@bneyshabur

Today, I’m excited to formally announce @MirendilAI with my amazing co-founders Harsh Mehta, Shayan Salehian, and Tara Rezaei! We’re fortunate to work with @a16z and @kleinerperkins, who led our seed round of $200M, followed by a major investment from NVIDIA, among others. Mirendil exists to accelerate science and technology, and through them, to help solve humanity's most pressing problems. Self-accelerating AI R&D is the most direct path to delivering on AI's broader promise, which is why we believe the most important application of AI is AI itself. Get this loop right, and it compounds. It fundamentally changes the rate of progress itself across all domains. We believe this capability should be democratized. It should be used to power all scientific efforts trying to innovate at the frontier. There are far more important problems—and broader ones—than any single lab can take on, so more groups should be able to pursue them. This pulls concentration of power away from a few labs: businesses and science labs can own their AI and infrastructure, keep their margins, and control their own destiny instead of ceding it all to a single AI lab. We’re a small team with a singular focus. Our founding team consists of 20 researchers and engineers from frontier institutions including Anthropic, xAI, Google DeepMind, and OpenAI, united by a passion for science and a drive to build the technologies that move it faster. If you want to build the system that builds systems, join us! @HarshMeh1a, @shayan_, @tararezaeikh

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Tara Rezaei
Tara Rezaei@tararezaeikh·
Models being good at ai r&d is key to them being able to push the fronitier of many open-ended research questions across many domains. But of course, if you have built your business model around selling subscriptions to one model you would not make the technology available.
Behnam Neyshabur@bneyshabur

This marks the beginning of a significant phase transition in the behavior of frontier AI labs and their relationship with the rest of the world 🧵

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Behnam Neyshabur
Behnam Neyshabur@bneyshabur·
This is the glimpse @HarshMeh1a saw more than a year ago when he initiated & led the automated pre-training R&D project in Anthropic (@karpathy leads that project now). We left Anthropic to start Mirendil because we believe democratizing self-accelerating AI R&D is a bottleneck for accelerating science: Any lab trying to use AI in drug discovery, chemistry, biology, or robotics should have access to this technology in a safe manner. If you are excited about Mirendil’s vision (checkout our website), please apply/reach out!
Anthropic@AnthropicAI

Our internal data shows Claude is accelerating AI development—a possible path to recursive self-improvement, or AI autonomously building a more capable successor. It’s happening faster than we thought, and the implications deserve greater attention. anthropic.com/institute/recu…

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Behnam Neyshabur
Behnam Neyshabur@bneyshabur·
It doesn’t need to be this way. It should not be this way. It should not be OpenAI/Anthropic deciding which fields get accelerated. To truly accelerate science and technology, self-accelerating AI R&D must be democratized. In fact, this is the exact motivation behind Mirendil.
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Tara Rezaei
Tara Rezaei@tararezaeikh·
At mlsys today and tomorrow. Would love to chat if you’re in town!
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Kelly Buchanan
Kelly Buchanan@ekellbuch·
Very excited to release Terminal-Bench 2.1! Coding agents are among the most economically consequential deployments of LLMs to date. As agents improve, benchmark reliability matters more. We audited TB2.0 and found and corrected issues in 28/89 tasks. 30% of the benchmark! But the rankings survived, absolute scores moved up to 12pp!
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