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Joined 2 years ago
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Cake day: July 14th, 2023

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  • Isn’t this still subject to the same problem, where a system can lie about its inference chain by returning a plausible chain which wasn’t the actual chain used for the conclusion? (I’m thinking from the perspective of a consumer sending an API request, not the service provider directly accessing the model.)

    Also:

    Any time I see a highly technical post talking about AI and/or crypto, I imagine a skilled accountant living in the middle of mob territory. They may not be directly involved in any scams themselves, but they gotta know that their neighbors are crooked and a lot of their customers are gonna use their services in nefarious ways.



  • So, I used to be a huge fan of this podcast, The Pessimists Archive, which catalogued all the times when people freaked out over stuff that seems silly today.

    But the thing is: We’ve also failed to freak out sufficiently over some pretty important stuff, and people who were mocked at the time have later been proven to be right.

    And then there’s also the paradox of risk management: Taking a risk seriously and working to mitigate it often makes the risk not materialize, making it look like the risk mitigation was a wasted effort.

    All that is to say: You really should take each case on its own merits.