Lenguador

That reminds me of a joke.

A museum guide is talking to a group about the dinosaur fossils on exhibit.
"This one," he says, "Is 6 million and 2 years old."
"Wow," says a patron, "How do you know the age so accurately?"
"Well," says the guide, "It was 6 million years old when I started here 2 years ago."

From Wikipedia: this is only a 1-sigma result compared to theory using lattice calculations. It would have been 5.1-sigma if the calculation method had not been improved.
Many calculations in the standard model are mathematically intractable with current methods, so improving approximate solutions is not trivial and not surprising that we've found improvements.

This is an essay about the Barbie brand and its relationship to feminism and capitalism through history and the modern day. The Barbie movie is discussed but it's not the primary focus.

NGC 1277 is unusual among galaxies because it has had little interaction with other surrounding galaxies.

I wonder if interactions between galaxies somehow converts regular matter to dark matter.

Claude 2 would have a much better chance at this because of the longer context window.
Though there are plenty of alternate/theorised/critiqued endings for Game of Thrones online, so current chatbots should have a better shot at doing a good job vs other writers who haven't finished their series in over a decade.

This looks amazing, if true. The paper is claiming state of the art across literally every metric. Even in their ablation study the model outperforms all others.

I'm a bit suspicious that they don't extend their perplexity numbers to the 13B model, or provide the hyper parameters, but they reference it in text and in their scaling table.

Code will be released in a week https://github.com/microsoft/unilm/tree/master/retnet

See this comment on another thread about this for some more details.

Taking 89.3% men from your source at face value, and selecting 12 people at random, that gives a 12.2% chance (1 in 8) that the company of that size would be all male.
Add in network effects, risk tolerance for startups, and the hiring practices of larger companies, and that number likely gets even larger.

What's the p-value for a news story? Unless this is some trend from other companies run by Musk, there doesn't seem to be anything newsworthy here.

DALL-E was the first development which shocked me. AlphaGo was very impressive on a technical level, and much earlier than anticipated, but it didn't feel different.
GANs existed, but they never seemed to have the creativity, nor understanding of prompts, which was demonstrated by DALL-E. Of all things, the image of an avocado-themed chair is still baked into my mind. I remember being gobsmacked by the imagery, and when I'd recovered from that, just how "simple" the step from what we had before to DALL-E was.
The other thing which surprised me was the step from image diffusion models to 3D and video. We certainly haven't gotten anywhere near the quality in those domains yet, but they felt so far from the image domain that we'd need some major revolution in the way we approached the problem. The thing which surprised me the most was just how fast the transition from images to video happened.

I find the link valuable. Despite the proliferation of AI in pop culture, actual discussion of machine learning research is still niche. The community on Reddit is quite valuable and took a long time to form.

Looks like the same guys were doing publicity around 2019 https://www.abc.net.au/news/rural/2019-07-30/australia-joins-lab-grown-meat-industry/11360506
At the time, they claimed the cost to make a single hamburger was $30-$40, and now 4 years later, they claim to have gotten it down to $5-$6 per patty.
The article claims the first demonstration of a lab-grown hamburger was in 2013.

So 6 years from proof of concept to (probably) first capital raise, then 4 years to start regulatory approval, 1 year for approval to take place (target is March next year).

!literature@kbin.social should go in your list, it has more of a poetry slant.
!books@kbin.social has almost 3000 members

I'm sure you can find plenty more on kbin.social as well.