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!

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?

I remember Waymo had their "Via" division, seems like they been hitting brakes on that one. I think they had people driving the last mile, which makes sense. Again, freeway crashes are always gonna be the most lethal and the worst, especially if we are talking about semis.

Government should make an AV lane for trucks!

If you listen interview with Francois it'll be clear to you that "vision" in the way you refer it, has very little do to with solving ARC.

And more to do with "fluid, adaptable intelligence, that learns on the fly"

That's fair. I care about the end result.

The problem is about taking information in 2D/3D space and solving the problem. Humans solve these things through vision. LLMs or AI can do it using another algorithm and internal representation that's way better.

I spent a long time thinking about how to solve the ARC AGI 2 puzzles "if I were an LLM" and I just couldn't think of a non-hacky way.

People who're blind use braille or touch to extract 2D/3D information. I don't know how blind people represent 2D/3D info once it's in their brain.

>AI can do it using another algorithm and internal representation that's way better

AI famously needs a boat load of energy and computation to work. How would you describe that as "way better" than a human brain that will be able to solve them faster, with practically zero energy expenditure?