tani

compression can be kind of search too or visa versa . i think just everything is mappable to k-sat .

cool! how much longer would it take to shrink the error bars 10x?

i get your point but my priors are still tilted toward this being an impossible exaggeration. lets see the data like you said!

i could buy the denominator being bigger like you say but still i think it would have to be the majority goes well undiagnosed for this to be possible

is disease diagnosis <25% accurate in general? how is 4x possible??

my guess is that this is a win-win type situation, so while good I’m not bought into their moral imperative.

sometimes you have to look really closely to find their detail orientation

wonder how yann is feeling about all this

it’s dogfooding and makes some sense for that reason. it’s not great all round now, though distinctly useful on some occasions, and has the potential to become better with increased use and internal adoption. they are also building the tools they use.

they’re going to need a relevant example to understand. c suite usually not great with abstraction.

The Thunder win GAME 7 to take home their first NBA Championship in the franchise's OKC era! 🏆

most consistent account on this site

AI and efficiency We’re releasing an analysis showing that since 2012 the amount of compute needed to train a neural net to the same performance on ImageNet classification has been decreasing by a factor of 2 every 16 ...

openai.com/index/ai-and...

companies pay for the energy they use so they have a direct incentive to minimize it

incentives are actually aligned since smaller models run faster and users of these models care more and more about latency. these companies are putting a ton of effort into making them more compute efficient which has the benefit of making them more energy efficient.

woof

bots don’t get jokes

one guy forcing the other get in on the other side of the van is some wet bandits shit

definitely would be a trigger for godzilla

yes of course. the issue is that i engage with the content that upsets me. its human nature, like watching a train wreck. even if someone has no explicit interest in divisive content, when they see it, they engage. a better algorithm would differentiate positive and negative engagement.

i get your point but using solely engagement metrics, it would be hard not to promote political content even in a system with plenty of other content. discover feed but without politics sounds appealing to me

1 and 2 make sense and echo my experience. a lot of the communities that are presented to me in the discover feed are hostile to outsiders that may not pass their purity test. that’s their prerogative but without obvious alternatives it’s hard to engage safely.

say it a third way!! jk jk makes sense

1 definitely suffers from the chicken and egg problem. i’ve seen some celebs join and then stop posting because of the engagement. jimmy fallen famously was dogpiled his first day and quit.

2 could be interesting, any ideas there?

what are the leading theories for why people are not sticking?

seems to me he just generated this…

i think it’s possible rag never was a thing because applying a term to selectively putting stuff in the prompt was silly in the first place

i see the red bar and immediately think i’m about to duel david cross

🤷

even your savior goes over the speed limit sometimes bsky.app/profile/luke...

👀

it’s ok, i can wait, just try