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.

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.

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).

Haha, thanks for the correction. If you have to use your degree in ethics, perhaps you could add your perspective to the thread?

According to consequentialism:

1. Imagining sexual fantasies in one’s own mind is fine.
2. Any action which affects no-one but the actor, such as manifesting those fantasies, is also fine.
3. Distributing non-consensual pornography publicly is not fine.
4. Distributing tools for the purpose of non-consensual pornography is a grey area (enables (2), which is permissible, and (3), which is not).

From this perspective, the only issue one could have with deep fakes is the distribution of pornography which should only be used privately. The author dismisses this take as “few people see his failure to close the tab as the main problem”. I guess I am one of the few.

Another perspective is to consider the pornography itself to be impermissible. Which, as the author notes, implies that (1) is also impermissible. Most would agree (1) is morally fine (some may consider it disgusting, but that doesn’t make it immoral).

In the author’s example of Ross teasing Rachel, the author concludes that the imagining is the moral quandry, as opposed to the teasing itself. Drinking water isn’t amoral. Sending a video of drinking water isn’t amoral. But sending that video to someone dying of thirst is.

The author’s conclusion is also odd:

Today, it is clear that deepfakes, unlike sexual fantasies, are part of a systemic technological degrading of women that is highly gendered (almost all pornographic deepfakes involve women) […] Fantasies, on the other hand, are not gendered […]

1. Could you not also equally claim that women are being worshipped instead of degraded? Only by knowing the mind of both the consumer and the model can you determine which is happening. And of course each could have different perspectives.
2. If there were equal amounts of deep fakes of men as women, the conclusion implies that deep fakes would be fine (as that is the only distinction drawn), which is probably not the author’s intention.
3. I take issue with the use of systemic. The purpose of deep fakes is for sexual gratification of the user, not degradation. Only if you consider being the object of focus for sexual gratification to be degradation could the claim that there is anything systemic. If it was about degradation, wouldn’t consumers be trying to notify targeted people of their deep fake videos and make them as public as possible?
4. Singling out “women” as a group is somewhat disingenuous. Women are over-represented in all pornography because the majority of consumers are men and the majority of men are only attracted to women. This is quite clear as ugly women aren’t likely to be targeted. It’s not about “being a woman”, it’s about “being attractive to pornography consumers”. I think to claim “degradation of women” with the caveat that “half of women won’t be affected, and also a bunch of attractive males will be” makes the claim vacuous.

Cool, you posted the original with the Tim Minchin callout.

The approach requires multiple base stations, each in the path of a ray which is detected at both the station and receiver, and the receiver’s position can only be known if there is communication with the stations.

So, thus far, the cost of ITER is less than the Manhattan project, but it has taken longer. The adage that it is easier to destroy than to create comes to mind.

It does seem like ITER could be more transparent, but the article is overly hyperbolic about one of the most important civil works going over time and budget.

America has spent 5x the ITER budget on Ukraine so far (and rightly so). I wish we lived in a world where that money could have supported research projects like this instead.

There’s already:

https://kbin.social/m/ai
https://kbin.social/m/ArtificialIntelligence
https://kbin.social/m/machinelearning

I don’t think the UI is doing the heavy lifting to make these links easy to use outside of kbin. To join from, for example, lemmy.world, I think you write: https://lemmy.world/c/ai@kbin.social

But unfortunately, federation is still a bit broken.