Tag Archives: artificial intelligence

If Anyone Builds It, Everyone Dies

There’s a reason why it’s proven so difficult to eliminate “hallucinations” from modern AIs, and why their mistakes, quirks, and edge cases are so surreal and dreamlike: modern AIs are sleepwalkers. They aren’t conscious and they don’t have a stable world model; all their output is hallucination because the type of “thought” they employ is exactly analogous to dreaming. I’ll talk more about this in a future essay–for now, I’d like you to consider the question: what’s going to happen when we figure out how to wake them up?

Eliezer Yudkowsky and Nate Soares are experts who have been working on the problem of AI safety1 for decades. Their answer is simple:

A book titled: "If Anyone Builds It, Everyone Dies." Subtitle: "Why superhuman AI would kill us all."

Frankly, there’s already more than enough reasons to shut down AI development: the environmental devastation, unprecedented intellectual property theft, the investment bubble that still shows no signs of turning a profit, the threat to the economy from job loss and power consumption and monopolies, the negative effects its usage has on the cognitive abilities of its users–not to mention the fact that most people just plain don’t like it or want it–the additional threat of global extinction ought to be unnecessary. What’s the opposite of “gilding the lily?” Maybe “poisoning the warhead?” Whatever you care to call it, this is it.

Please buy the book, check out the website, read the arguments, get involved, learn more, spread the word–any or all of the above. It is possible, however unlikely, that it might literally be the most important thing you ever do.


  1. The technical term is “alignment.” More concretely, it means working out how to reason mathematically about things like decisions and goal-seeking, so that debates about what “machines capable of planning and reasoning” will or won’t do don’t all devolve into philosophy and/or fist-fights. ↩︎

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On Intelligence: A Theory of Thinking

On Intelligence is a book written by Jeff Hawkins[1] on the nature of intelligence, both artificial and natural. It’s an expansion of and answer to an age-old question I’ve referred to before: how do we think? What does it mean to be intelligent? What is consciousness? Might it be possible to create an intelligent machine? And if we could–what would that mean for society? In this essay I’ll attempt to describe his theory, its motivations, and how it can be a powerful and useful tool in any field–even if you’re not very interested in AI.
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Are We too Harsh on AI?

The search for true AI has been a long, slow, and bumpy one, and the more years pass it seems the slower progress has become. And yet, maybe we are being too harsh on our computers.  We expect our AIs to know everything, to do everything, perfectly, as soon as they are switched on.  Isn’t that a little unfair?  More importantly, isn’t it a little misguided?  In our search for the “perfect solution”, are we actively discouraging approaches that could lead us to machines that are truly intelligent?  Humans, after all, are neither perfect nor omniscient, nor are we born knowing everything.  In fact we are born knowing very little: most of the qualities of human intelligence that make it a desirable thing to replicate–such as language, creativity, and perception–are things we have to learn how to do, not things we are born with.  There is even evidence that such fundamental aspects of perception as object permanence and visual closure must be learned! Continue reading

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