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how-to-train-your-slop-cannon.git

how-to-train-your-slop-cannon.git — How to train your slop cannon: a short guide to using large language models for research…

how-to-train-your-slop-cannon.git is How to train your slop cannon: a short guide to using large language models for research in the natural sciences (Loader, Oppenheim, Osborne) - Open-Science-Ledger/how-to-train-your-slop-cannon. It is ranked #1126 on the AI Radar, in AI research, first seen 12 days ago and shared in 1 post (7.4k views).

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GitHub - Open-Science-Ledger/how-to-train-your-slop-cannon: How to train your slop cannon: a short guide to using large language models for research in the natural sciences (Loader, Oppenheim, Osborne) · GitHub Skip to content Navigation Menu Sign in Appearance settings Search / Sign in Sign up Appearance settings You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert {{ message }} Open-Science-Ledger / how-to-train-your-slop-cannon Public Notifications You…

What people said about how-to-train-your-slop-cannon.git on X

Reading the bitter lesson as suggested in Tobias' preprint https://www.incompleteideas.net/IncIdeas/BitterLesson.html and this definitely hits close to home. For years, it seemed obvious that designing qLDPC codes and decoders required a lot of human input/insights, but I'm not convinced anymore (1/2)

@letonyo, 12 days ago · 36 likes · see the post

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How to train your slop cannon: a short guide to using large language models for research in the natural sciences (Loader, Oppenheim, Osborne) - Open-Science-Ledger/how-to-train-your-slop-cannon It was first shared on X 12 days ago and is ranked #1126 on the AI Radar.

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1 account on X, including @letonyo, in 1 post totalling 7.4k views.

Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 27.2k posts from 4.8k X accounts over the last 14 days, 1.2k tools, 19 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-19 18:50 UTC. Full method.