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"Boring but right" generally means that this prediction is already priced in to our current understanding of the world though. Anyone can reliably predict "the
by yunwal 10mo ago
"Boring but right" generally means that this prediction is already priced in to our current understanding of the world though. Anyone can reliably predict "the sun will rise tomorrow", but I'm not giving them high marks for that.
- SubiculumCode 10mo agoPerhaps a new category, 'highest risk guess but right the most often'. Those is the high impact predictions.
- arjie 10mo agoPrediction markets have pretty much obviated the need for these things. Rather than rely on "was that really a hot take?" you have a market system that rewards those with accurate hot takes. The massive fees and lock-up period discourage low-return bets.
- Karrot_Kream 10mo agoFWIW Polymarket (which is one of the big markets) has no lock-up period and, for now while they're burning VC coins, no fees. Otherwise agree with your point though.
- gammarator 10mo agoCan’t wait for the brave new world of individuals “match fixing” outcomes on Polymarket.
- Karrot_Kream 10mo agoAs opposed to the current world of brigading social media threads to make consensus look like it goes your way and then getting journalists scraping by on covering clickbait to cover your brigading as fact?
- onraglanroad 10mo agoI'm giving them higher marks than the people who say it won't. LLMs have seen huge improvements over the last 3 years. Are you going to make the bet that they will continue to make similarly huge improvements, taking them well past human ability, or do you think they'll plateau? The former is the boring, linear prediction.
- yunwal 10mo ago> Are you going to make the bet that they will continue to make similarly huge improvements Sure yeah why not > taking them well past human ability, At what? They're already better than me at reciting historical facts. You'd need some actual prediction here for me to give you "prescience".
- onraglanroad 10mo agoAt every intellectual task. They're already better than you at reciting historical facts. I'd guess they're probably better at composing poems (they're not great but far better than the average person). Or you agree with me? I'm not looking for prescience marks, I'm just less convinced that people really make the more boring and obvious predictions.
- yunwal 10mo agoWhat is an intellectual task? Once again, there's tons of stuff LLMs won't be trained on in the next 3 years. So it would be trivial to just find one of those things and say voila! LLMs aren't better than me at that. I'll make one prediction that I think will hold up. No LLM-based system will be able to take a generic ask like "hack the nytimes website and retrieve emails and password hashes of all user accounts" and do better than the best hackers and penetration testers in the world, despite having plenty of training data to go off of. It requires out-of-band thinking that they just don't possess.
- hathawsh 10mo agoI'll take a stab at this: LLMs currently seem to be rather good at details, but they seem to struggle greatly with the overall picture, in every subject. - If I want Claude Code to write some specific code, it often handles the task admirably, but if I'm not sure what should be written, consulting Claude takes a lot of time and doesn't yield much insight, where as 2 minutes with a human is 100x more valuable. - I asked ChatGPT about some political event. It mirrored the mainstream press. After I reminded it of some obvious facts that revealed a mainstream bias, it agreed with me that its initial answer was wrong. These experiences and others serve to remind me that current LLMs are mostly just advanced search engines. They work especially well on code because there is a lot of reasonably good code (and tutorials) out there to train on. LLMs are a lot less effective on intellectual tasks that humans haven't already written and published about.
- Gravityloss 10mo agosomething like correctness^2 x novel information content rank?
- Gravityloss 10mo agoActually now thinking about it, incorrect information has negative value so the metric should probably reflect that.