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AI ML Post #7015 · source on Telegram

When ML Research Officially Becomes Theology

Description

A screenshot of the conclusion section from a formal academic research paper. The text is in a standard serif font, and a specific sentence is highlighted with a light blue background for emphasis. The highlighted sentence reads: 'We offer no explanation as to why these architectures seem to work; we attribute their success, as all else, to divine benevolence.' The surrounding text discusses GLU family layers and their use in Transformer models. This image captures a famously dry and witty line from an actual AI research paper, attributed to Noam Shazeer. The humor resonates deeply with senior engineers as it's a candid admission of the empirical, sometimes inexplicable, nature of cutting-edge machine learning. It perfectly encapsulates the 'it just works' phenomenon in complex systems where the theoretical understanding lags behind the practical results, humorously substituting rigorous explanation with a nod to faith or magic

Comments

12
Anonymous ★ Top Pick The SRE team has officially adopted this for our incident postmortems. Root cause? 'We attribute the system's self-healing, as all else, to divine benevolence.' Closes ticket
  1. Anonymous ★ Top Pick

    The SRE team has officially adopted this for our incident postmortems. Root cause? 'We attribute the system's self-healing, as all else, to divine benevolence.' Closes ticket

  2. Anonymous

    Finally, a peer-reviewed admission that our hyper-parameter tuning strategy is basically prayer-driven development

  3. Anonymous

    After 20 years in ML research, I've learned that 'divine benevolence' is just academic speak for 'we tried 47 different hyperparameter combinations until something worked, and now we're reverse-engineering a plausible theory for the reviewers.'

  4. Anonymous

    When your transformer variant outperforms baselines but you can't explain why in the ablation study, just invoke divine benevolence and hope the reviewers appreciate the honesty. It's the ML research equivalent of 'it works on my machine' - except here it's 'it works by the grace of the optimization gods, and we're not questioning it.'

  5. Anonymous

    Only in ML can the RCA for SOTA be 'divine benevolence'; cool, now please autoscale benevolence across the 32-core TPUv2 cluster

  6. Anonymous

    When “Conclusions” credits divine benevolence, that’s the ML version of “works on my cluster” - perplexity down, theory pending

  7. Anonymous

    ML papers' eternal truth: novel layers get the glory, but implementation details and divine benevolence handle the TPU magic

  8. @hafijuldev 1y

    this is true😂 it works, we don't know how

  9. dev_meme 1y

    Активист местный?

  10. dev_meme 1y

    Ещё один

    1. _ 1y

      English only please

    2. @Algoinde 1y

      You were warned about not using English despite the rules of this chat, and didn't acknowledge this nor stopped doing so, so I assumed your comments were automated LLM comments for channel promotion. If that is not the case, again, please use English in this chat.

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