Hacker Newsnew | past | comments | ask | show | jobs | submit | artificialprint's commentslogin

Why pay 90 when it could be 20

You don't get it, you can make m o n e y with it, with which you can buy a yacht and an expensive car.

People work 8 hours a day presumably, I guess they are banking on this idea


only works if the users are evenly distributed around the globe (which is likely more of less the case). if the user concentrates in on century, the token rate will be terrible.


Didn't make sense to launch multiple 10 and 40 bucks subscriptions right at the start, because now they are competing with each other.

Also mobile version is a bit broken, but good idea and good luck!


I'm feeling it Mr. Crabs.


Release open weights so competitors can't raise good money, then rear naked choke when they run dry


Using Brazilian Jiu-Jitsu (BJJ) technical terms is confusing. Sports allusions don't travel well between cultures, especially if they sound seedy.


I found it plucky and intriguing. A great metaphor, not often seen in tech. Not everything has to be in the lowest common denominator of language.


That's the spirit! Same


Jokes on u, I'm already in a simulation


Watch Francois chollet on ML street


Throw ARC-AGI 2 at it!


I suspect it wouldn't help too much. This model is meant for physics-based world modeling, while nearly all the problems in ARC are symbolic reasoning.


I'd say world modeling can provide the foundations from which symbolic reasoning can emerge, after all this is how we (humans) learn it too. There are a lot of tasks in arc that are grounded in simple physics


> I'd say world modeling can provide the foundations from which symbolic reasoning can emerge, after all this is how we (humans) learn it too

As usual comparisons with humans provide little practical insight for what's achievable with ML. Humans don't have to learn everything from scratch like ML models do, you aren't expecting ML models to learn language out of a few thousands of tokens just because humans can, so similarly you shouldn't expect neural networks to learn reasoning from world interaction alone.


Yes, ARC-AGI 2 seems to game a lot of challenges that involve a (projection of) gravity and collisions, so I'd be quite interested in seeing whether it would generalize.


Doesn't scale handle one of the biggest military data contracts?


Consider applying for YC's Summer 2026 batch! Applications are open till May 4

Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: