[-] Lenguador@kbin.social 19 points 1 year ago

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."

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Achieves SOTA on quality AND on training time AND renders in real-time (60fps+)

[-] Lenguador@kbin.social 5 points 1 year 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.

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[-] Lenguador@kbin.social 3 points 1 year ago

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

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Ah, General Kenobi (media.kbin.social)
[-] Lenguador@kbin.social 1 points 1 year ago

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.

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Now there are two of them (media.kbin.social)
[-] Lenguador@kbin.social 1 points 1 year ago

!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.

[-] Lenguador@kbin.social 1 points 1 year ago

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

[-] Lenguador@kbin.social 12 points 1 year ago

How many people will read the title without the comments and leave with the wrong idea?

Not that I think you should take the post down, but the title is quite definitive, and confirms existing biases, so people are unlikely to research further.

[-] Lenguador@kbin.social 18 points 1 year ago

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.
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submitted 1 year ago by Lenguador@kbin.social to c/memes@lemmy.ml
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But who's counting? (media.kbin.social)
submitted 1 year ago by Lenguador@kbin.social to c/memes@lemmy.ml
[-] Lenguador@kbin.social 1 points 1 year ago

For microcontrollers, quite often. Mainly because visibility is quite poor, you're often trying to do stupid things, problems tend to be localized, and JTAG is easier than a firmware upload.

For other applications, rarely. Debuggers help when you don't understand what's going on at a micro level, which is more common with less experience or when the code is more complex due to other constraints.

Applications running in full fledged operating systems often have plenty of log output, and it's trivial to add more, formatted as you need. You can view a broad slice of the application with printouts, and iteratively tune those prints to what you need, vs a debugger which is better suited for observing a small slice of the application.

[-] Lenguador@kbin.social 1 points 1 year ago

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

[-] Lenguador@kbin.social 2 points 1 year ago

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.

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Crosspost from m/ArtificialIntelligence

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Crosspost from m/ai

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Lenguador

joined 1 year ago