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Lessons learnedExperience excerpt · English

I think the perspective here is completely wrong

I think the perspective here is completely wrong. The problem is that people are now building our world around tooling that eschews accountability . Over a decade ago now, I had a conversation with Gerald Sussman which had enormous influence on me: https://dustycloud.org/blog/sussman-on-ai/ > At some point Sussman expressed how he thought AI was on the wrong track. He explained that he thought most AI directions were not interesting to him, because they were about building up a solid AI foundation, then the AI system runs as a sort of black box. "I'm not interested in that. I want software that's accountable." Accountable? "Yes, I want something that can express its symbolic reasoning. I want to it to tell me why it did the thing it did, what it thought was going to happen, and then what happened instead." He then said something that took me a long time to process, and at first I mistook for being very science-fiction'y, along the lines of, "If an AI driven car drives off the side of the road, I want to know why it did that. …

Original discussionAI didn't delete your database, you did304 source comments · at import
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SP

I don’t know why people still consider the US the ideal country for starting companies. Everything seems to evolve around taking people to court.

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LO

Humans aren’t any better. That’s why we have OSHA etc. I think you’re hoping for a formal logic based AI and I’ll wager no such thing will ever exist - and if it do, it would try to kill us all.

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BA

My team and I are firm that we are the ones accountable. LLMs are a tool like every other. Only that it's non deterministic. But I am the one using the tool. I am the one giving the tool access. I am the one who has to keep everything safe. I have shot myself in the foot using gparted in the past by wiping the wrong disk. gparted wasn't to blame. I was. Letting LLMs work freely without supervision sounds great but it will lead to pain. I have to supervise their work. And that is also during execution. You can try to replace a human but we see where this leads. Sooner or later the LLM will do something stupid and then the only one to blame is the person who used the tool.

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MA

People are eschewing their own accountability, blaming the tools instead for their poor decision making and lack of access controls. Why is it possible for you to fat-finger your way to deleting production database locally?

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SA

There used to be a lot of research into using deep NNs to train decision trees, which are themselves much less of a black box and can actually be reasoned about. I wonder where that all went?

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PA

I wish you could have what you want, but I worry you won't get this, because life doesn't give you that, and these systems are tending away from machine precision, and more toward life-like trade-offs. I am almost certain that even if you did get what you want, something that isn't what you want will run circles around you and eat your lunch EDIT: I suspect this will be an unpopular take on Hacker News. And so I am soliciting upvotes for visibility from other biologists and sympathetic technologists. I think everyone should try to grapple with this possibility <3

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PJ

Have I got a book for you: https://en.wikipedia.org/wiki/The_Unaccountability_Machine Not actually about technology at all, but about organizational structure.

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KE

The fallacy here is the assumption that humans know why we do what we do. Much like modern LLMs we have an explanation, but it’s just something we cook up in our brain. Whether or not it’s the truth is far more complex. Oddly, despite LLMs being these huge networks with billions of parameters, we still probably do understand it better than we do our own brains.

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