Dmitry Kobak
hippopedoid.bsky.social
PI at Ghent University and VIB.AI. Manifold learning, contrastive learning, self-supervised learning, genomics, transcriptomics, interpretability. Excess mortality, statistical forensics. Born but to die and reas'ning but to err. https://dkobak.github.io
👤 Joined on 28 November 2024
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- 28 Kas 2024, 11:43
🎉 Bluesky'e katıldı - İlk kullanıcı adı:
@hippopedoid.bsky.social
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Also, my skillset is 'negative vspace'
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One paper was complete gibberish. One was readable, like parseable English, but said nothing at all (reviews have started coming in and seem to agree). One was incorrect format and so unclear if it was within the length requirement. And one was missing required sections.
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Also implies something about LLM use in reviewing. First it's just for finding bugs in papers. Then people start trusting the LLM more, and pretty soon the person basically isn't reviewing at all, just rubber-stamping an LLM's analysis of a paper they don't understand.
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Some major performance improvements for PyNNDescent are coming soon, especially for large multicore jobs ... here's a teaser:
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it is the "I'm alive" meme but the "I'm alive" meme is completely correct
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