I think the problem is more about how do we get people in power that don't actually care about it.
You have to go through a lot of crap to get to a high leadership position and, in general, the only types of people that will think it's worth it are the ones who are attracted to the position because of the power benefits that it offers.
Personally, I'm a big fan of selectorates. They avoid that problem. I'm also a fan of meritocracies, not in isolation, but as one branch. They bring a different set of problems.
> Considering that no human will be able to sift through these in no less than a team-decade
How do you figure that? For ETH, OpenAI is engaging with top experts in this area. It's unlikely that they'll need 10 man-years combined to go through the results:
> This work will be verified and shepherded by a group led by Russell Impagliazzo (UC San Diego), Ramamohan Paturi (UC San Diego), and Ryan Williams (MIT). All three are experts in algorithm design and complexity theory.
> Impagliazzo and Paturi, along with Francis Zane, are the original proposers of the Exponential Time Hypothesis, and have authored a number of influential papers on the topic over the last 30 years.
> Williams has refuted strong versions of the ETH, used ETH for hardness results, and connected algorithms and lower bounds.
I think I misread something, the pdf is like 80 pages long, and there’s a list of like 200 pdfs, each around that length, I thought they were all related to this proof, but they are unrelated.
This will be the future model for businesses. Buy a generalized frontier model and finetune it and make it available internally. This model offers a lot more business benefits than the current risk.
The more frightening reality is people turning to AI to do research on who to vote for and the AI is silently told to influence them towards a party it candidate. Since it has past chat history it can utilize that to highlight topics you are interested in and personalize the arguments.
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