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Luca Ambrogioni
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Luca Ambrogioni
@LucaAmb
Ass. prof. of Machine Learning. PI of Generative Memory Lab (@DondersInst). Generative diffusion and statistical physics. AI realist.
Nijmegen, Nederland
Joined July 2011
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  • Pinned
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    Luca Ambrogioni
    @LucaAmb
    May 11
    1/?) As promised to Sander Dieleman (@sedielem), we’re finally excited to share: Towards Closing the Autoregressive Gap in Language Modeling via Entropy-Gated Continuous Bitstream Diffusion We show that continuous diffusion can achieve very strong language modeling performance
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    Luca Ambrogioni
    @LucaAmb
    10h
    Maybe I am completely wrong, but I have the feeling that LLMs have some fundamental limitations that have been masked by progresses coming from reasoning and agentic pipelines
  • user avatar
    Luca Ambrogioni
    @LucaAmb
    Aug 5
    Just a reminder that biglab people piggybacked on decades of academic research to get where they are That frontier research left academia is obvious to everyone, not club secret, but there is no reason to act as an a**hole towards your own 'parents'
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    Keller Jordan
    @kellerjordan0
    Aug 4
    PSA: Most biglab people now read almost zero papers and understand ICLR/ICML/NeurIPS to be mainly full of overclaims & fraud. (but there are a few diamonds in the rough of course)
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    Luca Ambrogioni
    @LucaAmb
    Aug 3
    Oh God, we really don't need more layers of abstractions...
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    Kevin Hartnett
    Cursor
    @KSHartnett
    Aug 2
    It strikes me that by the time computers could solve integrals, mathematicians no longer cared about them as research. The move away from explicit computation had happened decades earlier, in the late 19th century. That period — Riemann, Dedekind, Hilbert — and the climb into
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    Luca Ambrogioni
    @LucaAmb
    Jul 31
    I am bullish on AI, but I think that his analysis is mostly right. We are in the age of specialized progress
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    Adam Hunt
    @RealAdamHunt
    Jul 28
    Recently I've flipped from being bullish to being bearish about AI. I think I'm updating my bearishness to be more solidly bearish. Early thoughts (which I hope to be disproven in the next year or so, I would prefer progress) and my reasoning: The whole 'it turns out if you
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