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lukevtoday at 7:37 PM4 repliesview on HN

The elephant in the room here is that the METR report itself was researched and compiled almost entirely by AI, with only very limited human "spot checks."

So I'm really not sure how much of it can be believed, especially since AI agents are strongly biased about the capabilities of AI agents.


Replies

nater5000today at 8:50 PM

I think there's two factors that are worth considering when it comes to this:

First, there's an element of timeliness that simply has hard constraints. In order to perform a "proper" analysis of this situation (i.e., little to no dependence on AI tools), you'd have to expect a pretty long wait. I know I'd rather have some sort of "initial report" as quickly as possible than to wait a year or two to get a report about a situation that will likely look trivial in a year or two. I imagine we'll see more detailed, human-developed reports over longer time ranges.

Second, I suspect the expectation of non-AI driven reporting of these kinds of things will definitely decline rapidly as everything scales up quickly. I mean, the data being produced by situations like this comes in the form of natural language "forum posts" (so to speak), but done at an autonomous scale. This isn't a collection of emails and Slack messages posted by humans in an org over the course of a few months; this is a bunch of bots interacting with each other in relatively novel ways as quickly as possible. It is, unfortunately, a perfect job for LLMs.

None of this disagrees with your points, necessarily. But I just think it's worth pointing out that this doesn't seem like a case of "And look! METR is so confident in LLMs that we're able to use it instead of paying humans to save a buck :D" and more of "Without LLMs, we'd only be half-way done analyzing this data before there are dozens more such investigations on the docket, so this will have to do."

Catloafdevtoday at 7:40 PM

Edit: I should have read through the whole thing first, ignore me

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cubefoxtoday at 8:54 PM

The main author talks about this problem here: https://www.lesswrong.com/posts/FG54euEAesRkSZuJN/ryan_green...

timmytokyotoday at 7:58 PM

One must also consider the well-known biases and motives of the authors. They are going to do everything they can to create hype around threats posed by AI.

METR is a cog in the effective altruism machine. It was spun off from Paul Christiano's Alignment Research Center. Christiano is a well-known longtermist and AI doomer, who predicts a 50% chance that AI will end humanity once it reaches human capacity [1].

The author of this piece is also a well-known member of the Bay Area rationalist cult.

[1] https://www.businessinsider.com/openai-researcher-ai-doom-50...