Artificial Intelligence

Deep Utopia

Posted by Peter on April 23, 2024
Posted in: Artificial Intelligence, Book Reviews, Life, the Universe, and Everything. Tagged: . Leave a Comment

Book review: Deep Utopia: Life and Meaning in a Solved World, by Nick Bostrom.

Bostrom’s previous book, Superintelligence, triggered expressions of concern. In his latest work, he describes his hopes for the distant future, presumably to limit the risk that fear of AI will lead to a The Butlerian Jihad-like scenario.

While Bostrom is relatively cautious about endorsing specific features of a utopia, he clearly expresses his dissatisfaction with the current state of the world. For instance, in a footnoted rant about preserving nature, he writes:

Imagine that some technologically advanced civilization arrived on Earth … Imagine they said: “The most important thing is to preserve the ecosystem in its natural splendor. In particular, the predator populations must be preserved: the psychopath killers, the fascist goons, the despotic death squads … What a tragedy if this rich natural diversity were replaced with a monoculture of healthy, happy, well-fed people living in peace and harmony.” … this would be appallingly callous.

The book begins as if addressing a broad audience, then drifts into philosophy that seems obscure, leading me to wonder if it’s intended as a parody of aimless academic philosophy.

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When Will AIs Develop Long-Term Planning?

Posted by Peter on November 16, 2023
Posted in: Artificial Intelligence, The Human Mind. Tagged: , . 1 comment

[I mostly wrote this to clarify my thoughts. I’m unclear whether this will be valuable for readers. ]

I expect that within a decade, AI will be able to do 90% of current human jobs. I don’t mean that 90% of humans will be obsolete. I mean that the average worker could delegate 90% of their tasks to an AGI.

I feel confused about what this implies for the kind of AI long-term planning and strategizing that would enable an AI to create large-scale harm if it is poorly aligned.

Is the ability to achieve long-term goals hard for an AI to develop?

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Disentangling Our Terminal and Instrumental Values

Posted by Peter on October 13, 2023
Posted in: Artificial Intelligence, The Human Mind. Tagged: . Leave a Comment

Disagreements related to what we value seem to explain maybe 10% of the disagreements over AI safety. This post will try to explain how I think about which values I care about perpetuating to the distant future.

Robin Hanson helped to clarify the choices in Which Of Your Origins Are You?:

The key hard question here is this: what aspects of the causal influences that lead to you do you now embrace, and which do you instead reject as “random” errors that you want to cut out? Consider two extremes.
At one extreme, one could endorse absolutely every random element that contributed to any prior choice or intuition.
…
At the other extreme, you might see yourself as primarily the result of natural selection, both of genes and of memes, and see your core non-random value as that of doing the best you can to continue to “win” at that game. … In this view, everything about you that won’t help your descendants be selected in the long run is a random error that you want to detect and reject.

In other words, the more unique criteria we have about what we want to preserve into the distant future, the less we should expect to succeed.

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The Coming Wave

Posted by Peter on September 28, 2023
Posted in: Artificial Intelligence, Book Reviews. Tagged: . Leave a Comment

Book review: The Coming Wave: Technology, Power, and the Twenty-first Century’s Greatest Dilemma, by Mustafa Suleyman.

An author with substantial AI expertise has attempted to discuss AI in terms that the average book reader can understand.

The key message: AI is about to become possibly the most important event in human history.

Maybe 2% of readers will change their minds as a result of reading the book.

A large fraction of readers will come in expecting the book to be mostly hype. They won’t look closely enough to see why Suleyman is excited.

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Require AGI to be Explainable

Posted by Peter on September 20, 2023
Posted in: Artificial Intelligence. Tagged: . Leave a Comment

Context: looking for an alternative to a pause on AI development.

There’s some popular desire for software decisions to be explainable when used for decisions such as whether to grant someone a loan. That desire is not sufficient reason for possibly crippling AI progress. But in combination with other concerns about AI, it seems promising.

Much of this popular desire likely comes from people who have been (or expect to be) denied loans, and who want to scapegoat someone or something to avoid admitting that they look unsafe to lend to because they’ve made poor decisions. I normally want to avoid regulations that are supported by such motives.

Yet an explainability requirement shows some promise at reducing the risks from rogue AIs.

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Foom Liability

Posted by Peter on June 29, 2023
Posted in: Artificial Intelligence. Tagged: , . 2 comments

Robin Hanson suggests, partly in response to calls for a pause in development of AGI, liability rules for risks related to AGI rapidly becoming powerful.

My intuitive reaction was to classify foom liability as equivalent to a near total ban on AGI.

Now that I’ve found time to think more carefully about it, I want to advocate foom liability as a modest improvement over any likely pause or ban on AGI research. In particular, I want the most ambitious AI labs worldwide to be required to have insurance against something like $10 billion to $100 billion worth of damages.

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