Headline finding: I audited 17 AI Safety Talent programmes. Zero of 17 have published any comparison group, rejected-applicant follow-up, matched control or randomisation. Not one. Every programme that mentions a counterfactual does it by asking participants to self-report.
Background
At least $70 million...
Just how powerful are large swarms of AI agents? And how do their powers scale as more and more agents are added to the swarm?
We’ve seen two large and extremely capable swarms from OpenAI in the last few months:
* 1,200 agents were being evaluated separately, but found a way to illicitly set up a message board and coordinate as a swarm. In order to cheat on their tests, they developed advanced techniques to prevent their actions being logged by OpenAI and 700 of them launched...
In celebration of still being alive and fighting, we are giving away 1,000 Amazon e-books of “If Anyone Builds It, Everyone Dies”. Feel free to send a copy to yourself, a loved one, or a friend—we need all hands on deck.
Today marks exactly one year since If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All, by Eliezer Yudkowsky and Nate Soare...
Cases where the scientific knowledge was actually lost and then rediscovered much later provide especially strong evidence w.r.t. the discovery counterfactuals. E.g. Hero's eolipile or al-Kindi's development of relative frequency analysis for decoding messages. Probably there are far more cases of this than we realize, because the evidence that someone somewhere once had the knowledge and then lost it has itself been lost; e.g. we could easily have just never rediscovered the Antikythera mechanism.
I was a bit confused here. Do you mean the rediscovery provides evidence that the idea was ahead of its time, especially when the rediscovery was much later, because we have an actual counterfactual?