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Comment by chrsw

20 hours ago

Ceilings do fall on people. LLMs do delete production databases. Will these things always inevitably happen? No, but the moment it does happen to someone I doubt they will be thinking about probabilities or Murphy's law or whatever.

I guess the question is, since we know these things can happen, however unlikely, what mitigations should be in place that are commensurate with the harms that might result?

> I guess the question is, since we know these things can happen, however unlikely, what mitigations should be in place that are commensurate with the harms that might result?

This isn't a defence of using LLMs like this, but this statement taken at face value is a source of a lot of terrible things in the world.

This is the kind of stuff that leads to a world where kids are no longer able to play outside.

Mostly, I agree with you. My complaint is that, when the ceiling fails, nobody says "Duh ceilings are supposed to fail, that's basic physics." Because that (1) helps nobody, and (2) betrays a fundamental misunderstanding of physics.

And I do think it's stupid to wire an LLM to a production database. Modern LLMs aren't that reliable (at least not yet), and the cost-benefit tradeoff does not make sense. (What do you even gain by doing that?)

However, you can't just look at that and say "Duh, this setup is bound to fail, because LLMs can generate every arbitrary sequence of tokens." That's a wrong explanation, and shows a misunderstanding of how LLMs (and probability) work.

  • What is the right understanding of how LLMs work and what is the correct diagnosis?

    • As I said, I believe statistical physics is a very good intuitional guidance. Molecules move randomly. That does not mean a cup of water will spontaneously boil itself. Sometimes the probability of something happening is so low that even if it's not mathematically zero it does not matter because you'll never observe it in the known universe.

      LLM generating each token probabilistically does not mean there's a realistic chance of generating any random stuff, where we can define "realistic" as "If we transform the whole known universe into data centers and run this model until the heat death of the universe, we will encounter it at least once."

      Of course that does not mean LLMs are infallible. It fails all the time! But you can't explain it as a fundamental shortcoming of a probabilistic structure: that's not a logical argument.

      Or, back to the original discussion, the fact that this one particular LLM generated a command to delete the database is not a fundamental shortcoming of LLM architecture. It's just a shortcoming of LLMs we currently have.

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