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Johannes Hagemann
Prime Intellect
1,704 posts
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Johannes Hagemann
Prime Intellect
@johannes_hage
co-founder/cto @PrimeIntellect | open superintelligence infra, longevity, techno-optimism
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hagemann.ai
Joined March 2017
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  • Pinned
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    Johannes Hagemann
    Prime Intellect
    @johannes_hage
    Nov 27, 2025
    we've scaled RL for a 100B+ MoE model achieving SOTA benchmark results for its size more important than the final model checkpoint is making the frontier infra required to train models like this accessible to everyone details on the full training recipe, our open source
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    00:41
    user avatar
    Prime Intellect
    @PrimeIntellect
    Nov 27, 2025
    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
    44K
  • user avatar
    Johannes Hagemann
    Prime Intellect
    @johannes_hage
    Aug 12, 2025
    big shout out to the absolute legend Parth
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    user avatar
    Johannes Hagemann
    Prime Intellect
    @johannes_hage
    Aug 12, 2025
    uv tool install prime
    621K
  • user avatar
    Johannes Hagemann
    Prime Intellect
    @johannes_hage
    Jan 5, 2024
    today I learned that there’s a literal GPU church with 4k H100s in Barcelona h/t @tugot17
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    Readers added context they thought people might want to knowReaders added context
    The picture is of MareNostrum 4, a supercomputer installed in 2017 and has Nvidia Volta & AMD Radeon Instinct MI50 GPUs, not H100 GPUs: bsc.es/marenostrum/ma… The MareNostrum 5 does use a total of 4480 Nvidia Hopper/H100 GPUs (1120 nodes with 4 gpus each), but the datacenter is not in a chapel: bsc.es/marenostrum/ma… hpcwire.com/2023/05/23/mar…
    Context is written by people who use X, and appears when rated helpful by others. Find out more.
    1.3M
  • user avatar
    Johannes Hagemann
    Prime Intellect
    @johannes_hage
    Jul 2, 2025
    Zuckerberg spent $500 million on one OpenAI researcher. The US population is 327 million. He could have given each American $1 million and still have money left over.
    446K
  • user avatar
    Johannes Hagemann
    Prime Intellect
    @johannes_hage
    Nov 21, 2020
    I’ve become such a big fan of the @lexfridman podcast, that I created a website with all the book recommendations of his guests. You can check it out here: lexfridmanlibrary.com
  • user avatar
    Johannes Hagemann
    Prime Intellect
    @johannes_hage
    Mar 16, 2025
    criminally underrated interview of the cursor CTO with <1k views that goes into detail on the scale of their infra, including incident responses and more youtube.com/watch?v=4jDQi9…
    153K
  • user avatar
    Johannes Hagemann
    Prime Intellect
    @johannes_hage
    Sep 15, 2025
    gpus.new
    180K
  • user avatar
    Johannes Hagemann
    Prime Intellect
    @johannes_hage
    Jun 1, 2025
    there is now a Bloomberg ticker, SDH100RT, for h100 rental market prices
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    117K
  • user avatar
    Johannes Hagemann
    Prime Intellect
    @johannes_hage
    Sep 17, 2025
    if any of the 3.1k folks who bookmarked this want to join Grad’s weekly research reading group where he presents those papers, please apply.
    user avatar
    Grad
    Prime Intellect
    @Grad62304977
    Sep 15, 2025
    Replying to @vikhyatk
    For well executed reasoning RL I would say: arxiv.org/abs/2505.22312 arxiv.org/abs/2506.13284 arxiv.org/abs/2508.06471 arxiv.org/abs/2504.13914 arxiv.org/abs/2508.08221 arxiv.org/abs/2505.08311 arxiv.org/abs/2506.13585 github.com/Tencent-Hunyua… honorable-payment-890.notion.site/POLARIS-A-POst…
    109K
  • user avatar
    Johannes Hagemann
    Prime Intellect
    @johannes_hage
    Sep 25, 2025
    B200 spot instances available for $0.92/hr right now b200.gpus.new
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    42K
  • user avatar
    Johannes Hagemann
    Prime Intellect
    @johannes_hage
    Aug 3, 2025
    🇺🇸🇺🇸🇺🇸
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    36K
  • user avatar
    Johannes Hagemann
    Prime Intellect
    @johannes_hage
    Dec 6, 2023
    The training infrastructure for Gemini Ultra is fascinating. They trained data parallel across multiple TPUv4 Superpods (4096 TPUs) in multiple datacenters. Insane that their network speeds are good enough to sync the gradients across multiple datacenters without significantly
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    109K
  • user avatar
    Johannes Hagemann
    Prime Intellect
    @johannes_hage
    Jun 27, 2025
    lesson in there
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    61K
  • user avatar
    Johannes Hagemann
    Prime Intellect
    @johannes_hage
    Aug 10, 2024
    Zyphra is one of the most underrated AI labs right now Great work on Tree Attention, an exact attention approach with less communication and memory requirements than Ring Attention, enabling more efficient scaling to million token sequence lengths arxiv.org/abs/2408.04093
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    43K
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