This gave me an idea: You could have a website where bidders upload a problem description, public and private data, an optimization goal (in the form of a solution-evaluation algorithm), and a bid like 'for a solution at least x good I pay y'. Takers can submit algorithms that produce solutions. They get run against the data with time and memory limit as specified by the bidder and if they match the solution quality the taker gets paid.
Is there something like this around?
Thanks, I appreciate it. It must be very difficult. Please don't lose your patience.
So will the maximally curious AI be curious about what would happen if you genetically modified all humans to become unicorns?
But it also provides incredibly easy interpretability, because these systems think in English.
I'm not sure this point will stand because it might be cheaper to have them think in their own language: https://www.lesswrong.com/posts/bNCDexejSZpkuu3yz/you-can-use-gpt-4-to-create-prompt-injections-against-gpt-4
Mr ChatGPT, does my bum look too big in that dress?
Are you sure about the imcreased sustained attention among cocaine users? The abstract in your link seems to suggest the opposite.
Enjoyable. I'm surprised Asch's conformity experiments are not mentioned, e.g. https://www.lesswrong.com/posts/WHK94zXkQm7qm7wXk/asch-s-conformity-experiment.
Relatedly, I schedule all my todos and my todo list contains only the ones scheduled to within the last week. If a todo is at risk of lapsing from the list, I will either have to actively reschedule it, in which case it is probably important to me, or it just drops into a list of stale todos. Occasionally I remember stale todos and can reschedule them or when I have enough time I browse the list of stale todos to see if there is anything still interesting.
Edit: This method helps because I get overwhelmed and anxious from overly long todo lists.