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George Kaissis

@g-k.ai did:plc:ieedimahtfrihvbqd5kxjzmh

Professor for Human-Centred Transformative AI @ Hasso-Plattner-Institut. Previously @ Google DeepMind, Imperial College London, TU Munich. 🇪🇺 🏳️‍🌈 https://www.g-k.ai

Bei Bluesky seit

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Zusammenfassung

George Kaissis (@g-k.ai) ist seit 16 Februar 2025 auf Bluesky. Das Konto hat 81 Follower, folgt 81 Konten und hat 19 Posts veröffentlicht.

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  • A. Feder Cooper@afedercooper.bsky.social

    (And yes, to validate our measurement procedure, we ran an extensive set of negative controls on non-training data.)

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  • Bogdan Kulynych@bogdankulynych.bsky.social

    Got excited about a couple of papers just to see they are slop with slop math and text. Logged in to see paper review discussions to see slop responses. Talking about projects with colleagues getting their chats with Claude instead of thoughts about a problem. AI slop is killing academia for me.

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  • arXiv cs.LG Machine Learning@cslg-bot.bsky.social

    Kristian Schwethelm, Daniel Rueckert, Georgios Kaissis: Depth-adaptive Inference of Looped Language Models via Continuous Depth Batching https://arxiv.org/abs/2608.09444 https://arxiv.org/pdf/2608.09444 https://arxiv.org/html/2608.09444

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  • A. Feder Cooper@afedercooper.bsky.social

    in our new preprint (with @marklemley.bsky.social and others), we revisit what it means to run valid extraction experiments from first principles. i recently gave a talk on this work at ICML, and we'll be wrapping up the preprint soon monkey-emeritus.github.io

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  • Nature Portfolio@natureportfolio.nature.com

    Individuals whose data are used to train medical #AI models may be at risk of being identified in cyber-attacks, according to a paper in Nature. Underrepresented groups may face disproportionately higher risks of having their data compromised. go.nature.com/3QEx4AU #medsky 🧪

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