co-founder & cto @freesoloco

San Francisco
Joined September 2023
1 year ago, @krish_mendapara and I left school and moved to California. At the time, we had a prototype we built in our dorm room and $4000. Today, the Matrix team has built the cheapest and fastest hormone test the world has ever seen.
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After getting put on administrative processing and being out of the US for more than 4 months, finally got my o1 visa!!! So grateful to be building in the greatest country in the world with the greatest people in the world :)
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shoutout @0xSigil and the @extraordinary team for all your help!!!
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Great team and this is actually so useful
Introducing Trident (YC S26), the security engineer that never sleeps Most teams test security 2-3 times a year Your code changes 200+ times a year Trident tests your web apps and cloud infrastructure every day: Comment "trident" below for a free security scan (black box + white box, worth $10,000+) Trident: > Finds vulnerabilities automatically > Opens PRs with fixes > Runs 24/7 after every deploy
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best launch vid i've seen in a bit!
Agents f*ck up. We raised a $2.3M pre-seed to warn you before it’s too late
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Got a lot of requests for new algorithms and models so we decided to open source Flash!!! You can now run Flash on your own compute, with algorithms and models customized for your own workflows!
Today we're excited to open source Flash: a post-training stack for open weight models Flash is designed to be cost-efficient and extendable. It handles training algorithms, compute provisioning, and model serving. Use Flash via the CLI or self host with your own hardware.
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Today, we're launching @belvedir_ai We're making private AI models cheap and easy so the world can have trillions of them. Private AI models are cheaper, better, faster, and protect your data from frontier labs, but they're still to expensive and difficult to make for startups and consumers. Belvedir makes private AI models autonomously with less than 5 minutes of setup, so that private AI can finally be accessible to everyone
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After thousands of hours of training runs for various usecases we built the best training platform specifically optimized for price and speed! With custom GPU kernels, consumer GPUs, and a combination of algorithms, we are able to distill all the work that we did into one CLI!
Not every AI interaction is best served with a large frontier model. There is a long tail of trillion-token use cases, from tagging to search, best served by a sub-10b-parameter model that runs in milliseconds and costs many orders of magnitude less than the frontier. We built Freesolo Flash to make training loops like SFT and RL easy and end-to-end completable through your coding agent.
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Posthog for your packages would be fire. Seeing which functions are getting used would be really useful.
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We’re launching @JudgmentLabs today and announcing $32M in funding. As AI agents take on more of the work that creates economic value, they generate massive amounts of production data: the clearest record of how they behave with users, software, and the real world. Judgment builds infrastructure for improving AI agents from production data.
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What @thinkymachines need is a better way to organize and delete checkpoints.
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Is there a better way/tool to get a tldr on a research paper than just pasting the arxiv link to ChatGPT and asking it to summarize?
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Introducing Lemma. Your AI agents are failing in ways you can’t see. Lemma is the world’s first reliability platform that finds and fixes these issues fast.
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Using cursor to help me set up my claude code is the new version of using safari to help me install chrome
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One of the most cracked engineers I know! Absolute pleasure to be working alongside you
I had my O-1 approved 👽🇺🇸 Excited to keep working with my best friends @freesolo in San Francisco! Thanks @0xSigil and everyone else who helped.
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RL is like cooking, if you set the learning rate too high. The model gets burnt.
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Traverse (@traverseso) is a data research lab solving the hardest problem in AI training: subjective, taste-dependent work. They generate long-horizon training data for frontier models by observing and capturing what specialists actually do on the job. Congrats on the launch, @lanceyyan and @thezacharyyu! ycombinator.com/launches/PdH…
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This just makes so much more sense
Mercury 2 is live 🚀🚀 The world’s first reasoning diffusion LLM, delivering 5x faster performance than leading speed-optimized LLMs. Watching the team turn years of research into a real product never gets old, and I’m incredibly proud of what we’ve built. We’re just getting started on what diffusion can do for language.
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