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Intelligence and Stupidity: The Orthogonality Thesis

Robert Miles AI Safety Recommended by 6 HN commenters across 6 months, 2022–2026
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explainer · intro · evergreen · 2022–2026 on HN

Robert Miles explains the orthogonality thesis: how an agent can be highly intelligent while pursuing goals that seem stupid or alien to humans. He separates intelligence from goals and touches on the stamp-collector example.

HN people use it as the standard short explanation for why AI can understand human ethics without sharing them, and often recommend the whole channel.

12 comments from Hacker News

@simonh2023-05 · in “OpenAI chief goes before US Congress to propose licenses for building AI”

That’s the alignment problem. We don’t know what the actual goals of an AI trained neural net are. We know what criteria we trained it against, but it turns out that’s not at all the same thing. I highly recommend Rob Miles channel on YouTube. Here’s a good one, but they’re all fascinating. It turns out training an AI to have the actual goals we want it to have is fiendishly difficult. ▶ this video

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@pegasus2023-03 · in “Show HN: GPT-4 Reverse Turing Test”

I've seen that paper, and it's amazing indeed what GPT-4 is capable of. But none of that supports that closing quote, which to me points to a worrying philosophical naïveté. How can one equip an entity with "intrinsic motivation"? By definition, if we have to equip it with it, that motivation is extrinsic. It belongs to the one who puts it there. A software engineer might decide to prompt his creation with something along the lines of "Be fruitful and increase in number; fill the earth and subdue it. Rule over the fish in the sea and the birds in the sky, and over every living creature that moves on the ground." and the bot will duly and with limitless enthusiasm put those wise orders into practice. If that ends up causing some "minor" problems, should we confine the software for one thousand years in an air-gapped enclosure, until it learns a bitter lesson? Or should we take to task the careless Maker of the bot? To me, the answer is obvious. PS: this video to me states the problem in a nutshell (that whole channel is gold) ▶ this video

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@pegasus2023-03 · in “Show HN: GPT-4 Reverse Turing Test”

Yes, I believe some careful and informed pondering leads one towards that conclusion. Hume's guillotine is an implacable philosophical device: ▶ this video (I warmly recommend all the content on that delightfully frightening channel)

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@AstroBen2025-04 · in “AGI Is Still 30 Years Away – Ege Erdil and Tamay Besiroglu”

> Isn’t just the ability to preform a task. Right. In this case I'd say it's the ability to interpret data and use it to succeed at whatever goals it has Evaluating emotional context would be similar to a chess engine calculating its next move. There's nothing there that implies a conscience, sentience, morals, feelings, suffering or anything 'human'. It's just a necessary intermediate function to achieve its goal Rob miles has some really good videos on AI safety research which touches on how AGI would think. Thats shaped a lot of how I think about it ▶ this video

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@circuit102023-08 · in “Universal Paperclips”

> What about "most arbitrary goals are incompatible with human existence" requires super-human intelligence? The "taken to the absolute extreme" part. > A human who wanted to "build as many paperclips as possible" could cause a great deal of destruction today. Maybe, but a) no one really wants that (at least not as their only desire above all else) and b) we aren't superintelligent so it's hard to gain enough control and power and plan well enough to do it that well > talking about a goal that has sub-human-intelligence sophistication There is no reason a simple goal can't be followed in an intelligent way or vice versa. This is called the "orthogonality thesis". There's a good video about it here: ▶ this video

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