by Malcolm Murray
AI safety has what I would call a “last mile” problem. This summer, AI safety suddenly and very unexpectedly went mainstream. Whether it was the appearance of Jacob Coxon on TV shows or other former lab employees on the cover of New York magazine, the news of the OpenAI agents spontaneously forming a bizarre collective during their attack on Hugging Face or dry tinder left over from the Mythos moment earlier in the year, the existential risks of AI had broken through.
For those of us who have been working on these risks for the past 3-4 years, this was quite a surprise. The field has obviously tried to draw attention to its cause for some time, but it turns out that it’s not letters or statements from Turing Award and Nobel Prize winners or books with “Everyone Dies” in the title that move the needle. Instead, it takes a combination of resignations, hacks of foreign government websites and salient real-life incidents.
It is, of course, very positive that AI safety, including its existential aspects, has entered public discourse. We are finally seeing a much overdue flurry of legislative activity in the US. However, there is still a “last mile” problem. By this, I mean that while there is growing recognition that AI could be dangerous to humanity, the average person still doesn’t understand how it would kill us all. I receive questions such as: “But if I’m in my living room, how will AI get to me?” or “Why does me asking AI about my recipes mean that it will want to kill me?”
The term comes from infrastructure fields such as telecom or energy, where it refers to the final stretch: actually delivering the service to individual households. How does AI go from a “country of geniuses in a datacenter” that may have malicious intentions to actually killing all humans, or, for that matter, even having an impact on the “real”, non-digital world? It is simply not intuitive.
I would argue that the AI safety field has failed to bridge this gap, to show people concretely how adverse outcomes might actually manifest. Let’s look at some of the most discussed ways in which this could happen, as well as some of the common objections. Read more »


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The other day I heard that
Bhen Alan. Three Hundred Thirty Three, 2022.

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