Manveer
@manveerxyz
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product + storytelling @primeintellect
sf
Joined January 2022
btw you don’t need to be a researcher to join our team we're also hiring full-stack and design engineers ++ open to internships for the right talent dm if interested
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it's honestly wild how much gravity there is in capital markets around big lab prestige there's so much capital chasing frontier lab equity that spills over into funding ex-lab or lab-affiliated companies, and it's hard for others to compete i do truly believe that we can show
This is so funny. The internet refuses to let VCs win, even for a single minute: - VC funds glorified consulting biz with $90M. founders are from OpenAI, must be a winner - gets called out for trying to King Make - founder qts with vague annualized revenue numbers - VCs from
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I strongly condemn dunking on Prime Intellect, they're doing the exact right thing. Post-training Chinese base models to the frontier level is in fact *more important* right now than learning to pretrain our own bases. I basically don't care what PI, Arcee and others can
Claim from the abstract: "106B-parameter MoE (12B active) trained with large-scale reinforcement learning on our end-to-end RL infrastructure stack." I expected all RL from scratch. Reality: Already existing base model + SFT + RL 😿
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INTELLECT-3 is live We hope it shows that you don't need to be from the big labs to compete in the big leagues. We believe in a future where everyone can optimize their own models. Where every company can be an AI company. We’re building the stack to enable this future.
Introducing INTELLECT-3: Scaling RL to a 100B+ MoE model on our end-to-end stack Achieving state-of-the-art performance for its size across math, code and reasoning Built using the same tools we put in your hands, from environments & evals, RL frameworks, sandboxes & more
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we are truly just getting started
working on this model, with this team, with all of the infrastructure we built to get here, is the most rewarding thing i've ever been a part of still can't believe i get to wake up every day and work on this stuff with these people and put all the code for free on the internet
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Introducing INTELLECT-3: Scaling RL to a 100B+ MoE model on our end-to-end stack Achieving state-of-the-art performance for its size across math, code and reasoning Built using the same tools we put in your hands, from environments & evals, RL frameworks, sandboxes & more
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i think the public perception of Prime Intellect will shift a lot over the next few months the internal momentum is palpable, and will start reverberating externally with our upcoming releases we believe that we have a path to becoming a serious player on the AI game board now
I love what @PrimeIntellect is building. Great company.
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1/ 🇺🇸 Today, @CAForever submitted detailed plans for the next great American city, an hour north of Silicon Valley, including: Solano Foundry, America’s largest manufacturing park, Solano Shipyard, our largest shipyard, and walkable neighborhoods for 400,000 Californians.
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many such cases
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In a sane world silicon valley would look like this
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Introducing the Environments Hub RL environments are the key bottleneck to the next wave of AI progress, but big labs are locking them down We built a community platform for crowdsourcing open environments, so anyone can contribute to open-source AGI
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gm
Prime Intellect is built on Ethereum. @PrimeIntellect is a decentralized AI protocol on @base that coordinates global compute, trains open models, and shares ownership via smart contracts. They aim to make AI resources open and accessible to all. https://t.co/onfpqSRfTG
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There is now a path for China to surpass the U.S. in AI. Even though the U.S. is still ahead, China has tremendous momentum with its vibrant open-weights model ecosystem and aggressive moves in semiconductor design and manufacturing. In the startup world, we know momentum
deeplearning.ai
The Batch AI News and Insights: There is now a path for China to surpass the U.S. in AI. Even though the U.S. is still ahead, China has tremendous...
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