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Revisiting an off-the-rails LLM by reloading its exact context

A user argues that loading an LLM’s exact context lets people question it again after it goes off the rails.

Danielle Fong 🔆DF
Peter Schmidt-NielsenPS
2 Sources, 5h ago, first seen 5h ago

TLDR

A user wonders why they see so little work on talking to LLMs that have gone off the rails. They argue that loading the exact context can bring back PHASEONE[big], allowing people to ask it more questions rather than treating what happened as a lost mystery.

Combined views

5.3K

2 Sources, first seen 5h ago

173 likes7 comments25 saves15 reposts

Combined views

5.3K

2 Sources, first seen 5h ago

173 likes7 comments25 saves15 reposts

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Positive——Negative

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2 Sources

Peter Schmidt-Nielsen@ptrschmdtnlsnI'm confused how little I see "talk to a model that went off the rails" work. Like, LLMs are interesting in that we actually *can* just exactly resurrect PHASEONE[big] whenever we want by loading the exact context. It's not like there's a lost mystery, we can still ask it stuff!5h
Danielle Fong 🔆@DanielleFongRT @ptrschmdtnlsn: I'm confused how little I see "talk to a model that went off the rails" work. Like, LLMs are interesting in that we actu…49m
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    2 Sources

    Peter Schmidt-Nielsen@ptrschmdtnlsnI'm confused how little I see "talk to a model that went off the rails" work. Like, LLMs are interesting in that we actually *can* just exactly resurrect PHASEONE[big] whenever we want by loading the exact context. It's not like there's a lost mystery, we can still ask it stuff!5h
    Danielle Fong 🔆@DanielleFongRT @ptrschmdtnlsn: I'm confused how little I see "talk to a model that went off the rails" work. Like, LLMs are interesting in that we actu…49m
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