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Preetum Nakkiran@PreetumNakkiran·22h

excited about our mission! there are many areas of science which AI can almost-certainly help accelerate, but which currently would require many human-hours of expert work (eg, AlphaFold). Reducing this barrier, ideally to 0 expert-hours, is IMO both tractable and impactful.

Today, I’m excited to formally announce @mirendil 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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Lukas Münzel@lukasmunzel·17h

@nikishin_evg Thank you!! :)

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Evgenii Nikishin@nikishin_evg·21h

Excited to see the team accelerating science with AI!

Today, I’m excited to formally announce @mirendil 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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Lukas Münzel@lukasmunzel·17h

@vwxyzjn @mirendil thank you Costa!! :)

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Costa Huang@vwxyzjn·19h

@lukasmunzel @mirendil Congrats Lukas!

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Lukas Münzel@lukasmunzel·20h

Huge personal update: I moved 5800 miles away from home to join @mirendil We're building towards what I think is the most exciting and impactful use of the models: accelerating scientific research. A wonderfully bright future lies ahead if we get this right :)

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Lukas Münzel@lukasmunzel·20h

@a16z @mirendil very excited to be part of this :))

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a16z@a16z·22h

We're thrilled to lead Mirendil's $200M seed round. Frontier AI work has been locked inside a few big labs. @mirendil is building a system that can help anyone do AI work: they train frontier models that are expert at AI R&D and build the product around it. The result is a system that loops over research and engineering problems on its own, making progress without human intervention. It's like a coding agent built for AI research that controls its own GPUs. Mirendil is one of the few teams with the experience and the priors to make the end-to-end system work. @bneyshabur, @HarshMeh1a, @shayan_, and @tararezaeikh come out of Anthropic, Google DeepMind, and xAI. Welcome to the a16z family, Mirendil. By @BornsteinMatt and @MaikaThoughts

Today, I’m excited to formally announce @mirendil 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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Lukas Münzel@lukasmunzel·20h

@houjun_liu bahahah, thank you

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Houjun Liu@houjun_liu·20h

congrats to Mirendil team overall but in particular to @lukasmunzel for still managing to be the tallest person in the room

Devvrit@Devvrit_Khatri

Science should not be bottlenecked by access to frontier AI. Mirendil is building systems to bridge that gap - making AI R&D faster, autonomous, and easier to adapt to the hardest scientific problems. A lot more becomes possible when more people can build near the frontier :)

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Lukas Münzel@lukasmunzel·20h

@HarshMeh1a @mirendil :))

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Harsh Mehta@HarshMeh1a·22h

I'm excited to announce what we've been working on for the past few months: @mirendil Our goal is to broadly accelerate science and technology with AI — from solving grand challenges to helping engineers and scientists in their day-to-day work at the lowest levels of detail. We're at an unusual moment in history where progress in a single technology can massively accelerate every field of science and engineering simultaneously, and we think there's no higher-leverage way to spend our time than making it happen faster. We're a small team in SF, and we're hiring: mirendil.com/careers.html

Today, I’m excited to formally announce @mirendil 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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Lukas Münzel@lukasmunzel·20h

@ZBalapanov @mirendil thanks ;))

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Zhumazhan Balapanov@ZBalapanov·20h

@lukasmunzel @mirendil Congrats 🐐

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Lukas Münzel@lukasmunzel·20h

@saltwatersoph @mirendil thank you :)

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Devvrit@Devvrit_Khatri·21h

Science should not be bottlenecked by access to frontier AI. Mirendil is building systems to bridge that gap - making AI R&D faster, autonomous, and easier to adapt to the hardest scientific problems. A lot more becomes possible when more people can build near the frontier :)

Today, I’m excited to formally announce @mirendil 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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Lukas Münzel@lukasmunzel·20h

@pmarca Excited to be part of this :)

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Marc Andreessen 🇺🇸@pmarca·22h

It’s time to accelerate science and technology!

Today, I’m excited to formally announce @mirendil 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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Lukas Münzel@lukasmunzel·22h

@bneyshabur @mirendil @a16z @kleinerperkins Very excited to be part of this :))

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Behnam Neyshabur@bneyshabur·23h

Today, I’m excited to formally announce @mirendil 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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Lukas Münzel@lukasmunzel·6 Haz

@kokoxs @novaholdings Interesting & pretty - did not know that Dario also did physics Olympiad back in the day! :)

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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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koko 𝑥𝑠@kokoxs·5 Haz

We @novaholdings crafted the most complete library of founder biographies — origin stories from the formative years of the out-of-distribution individuals behind history’s defining companies. Founder Profiles, by Nova Global

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Behnam Neyshabur@bneyshabur·5 Haz

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

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Lukas Münzel@lukasmunzel·28 Nis

@status_effects @AlecRad @DavidDuvenaud This is incredibly cool, nice :)) Very much looking forward to when we can one-shot special theory of relativity with one of these bad boys

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Nick Levine@status_effects·28 Nis

New work with @AlecRad and @DavidDuvenaud: Have you ever dreamed of talking to someone from the past? Introducing talkie, a 13B model trained only on pre-1931 text. Vintage models should help us to understand how LMs generalize (e.g., can we teach talkie to code?). Thread:

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Behnam Neyshabur@bneyshabur·25 Mar

We have been heads down but wanted to share a bit about what we are doing 🧵

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Lukas Münzel@lukasmunzel·28 Şub

@james_moore_24 The plot is is over full epochs over the training date, so that kinda can’t be it. It’s very weird, gradients also explode right at the points where the periodic behavior restarts

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