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 seems like more of an achievement for the Barbie brand than for the individual director.

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.

Why do you say they have no representation? There are a lot of specific bodies operating in the government, advisory and otherwise, with the sole focus of indigenous affairs. And of course, currently, indigenous Australians are over represented in terms of parliamentarian race (more than 4% if parliamentarians are of indigenous descent).

While in general, I'd agree, look at the damage a single false paper on vaccination had. There were a lot of follow up studies showing that the paper is wrong, and yet we still have an antivax movement going on.

Clearly, scientists need to be able to publish without fear of reprisal. But to have no recourse when damage is done by a person acting in bad faith is also a problem.

Though I'd argue we have the same issue with the media, where they need to be able to operate freely, but are able to cause a lot of harm.

Perhaps there could be some set of rules which absolve scientists of legal liability. And hopefully those rules are what would ordinarily be followed anyway, and this be no burden to your average researcher.

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.

So, taking the average bicep volume as 1000cm3, this muscle could: exert 1 tonne of force, contact 8% (1.6cm for a 20cm long bicep), and require 400kV and must be above 29 degrees Celcius.

Maybe someone with access to the paper can double check the math and get the conversion efficiency from electrical to mechanical.

I expect there's a good trade-off to be made to lower the force but increase the contraction and lower the voltage. Possibly some kind of ratcheting mechanism with tiny cells could be used to overcome the crazy high voltage requirement.

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 wonder what specifically they're interested in vs long deployments in Antarctica (people do 12 months rotations in some stations there).

I found this article discussing the psychology of placements in Australian antarctic stations: https://psychology.org.au/for-members/publications/inpsych/2021/february-march-issue-1/life-in-the-australian-antarctic-program.

The differences as I see them are:

1. Smaller crew
2. No unsuited outdoor time
3. Smaller space
4. Communication latency / outages
5. Personal belongings weight/volume limits
6. Dietary restrictions

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).

[email protected] should go in your list, it has more of a poetry slant.
[email protected] has almost 3000 members

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