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Atoosa Kasirzadeh

@atoosakz.bsky.social did:plc:5mvdtnmvfi75tjea737iucnp

societal impacts of AI | assistant professor of philosophy & software and societal systems at Carnegie Mellon University & AI2050 Schmidt Sciences early-career fellow | system engineering + AI + philosophy | https://kasirzadeh.org/

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Atoosa Kasirzadeh (@atoosakz.bsky.social), 25 Şubat 2025 tarihinde katılan bir Bluesky kullanıcısı. 289 takipçisi var, 102 hesabı takip ediyor ve 61 post paylaştı.

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  • Linnéa Gyllingberg@gyllingberg.bsky.social

    ...(3), and sometimes (2), but cannot replace (1). With LLMs and AI agents, I think increasingly more of (2) can be automated. But the creative process of deciding what to model, and how, remains crucial. I somehow think that the "checklist" approach is emphazising doing activity (2), and that we...

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  • Linnéa Gyllingberg@gyllingberg.bsky.social

    ...,as you say, really should embrace is the generative encounter model , i.e. prioritizing and rewarding activity (1).

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  • Linnéa Gyllingberg@gyllingberg.bsky.social

    Feels like I am just repeating what you said in your essay now, but I basically just want to say that i think it connects well to our paper www.sciencedirect.com/science/arti... and that the checklist approach is prevalent in biomath, and with the current llm landscape, we should change that.

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  • Linnéa Gyllingberg@gyllingberg.bsky.social

    Cool, you should definitely come and visit KTH again! :) in 2023, I co-wrote a paper on how we should approach mathematical modelling in the machine learning era, where we argue that our the activities (1) creating models (2) analysing models and (3) fitting/comparing models to data, ML is good at..

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  • Linnéa Gyllingberg@gyllingberg.bsky.social

    ...creeps in here too. There's a tendency within the field to treat the theorem-proof format as a marker of mathematical rigour, even when the most important contributions are actually the creative construction of models.

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