You can call me AI

I think I’m just going to stay single unless I meet someone the old fashioned way

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including nudity or pornography in training data may allow these models achieve better results by providing more information about human bodies.

It may? So, ok, however they were censoring the data set in SD3 plainly did them no favors. But artists study nudes because it helps them understand how human bodies are put together and move, whatever happens to be draped over them afterward. And these models don’t. They don’t even have a concept that humans exist in three dimensions. They just match images together. So the more source data the better, but does it actually help to put in things you don’t want to generate?

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Who wants this? Nobody wants this… right??

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image :point_left: :rofl: They are doooooomed…

Just a gentle reminder of what “the square of” means; that green line to the left is the square of the input cost of N items. Cost is the vertical axis. Linear scale shown.

What’s worse, that appears to be just the runtime cost. The training cost is N5 or worse, according to my colleagues who use these models.

I don’t care how many NVidea GPU’s you have running beside your newly refurbished 1950’s nuclear plant, it sure as hell ain’t N2.

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If only there were some kind of emoji to express this sentiment.

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It’S oK tHo BeCaUsE qUaNtUm CoMpUtiNg iS jUsT aRoUnD tHe CoRnEr

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Ha. As a quantum guy phrased it to me at lunch, at a conference where he was desperately trying to get another job: “quantum is an application waiting for the hardware to catch up.”

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Interesting use of AI by filmmakers appears here:

The video in that post also mentions this short film, Battalion:

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I feel somehow gratified that SpOnGeBoB sArCaSm can be weaponized against AIs.

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I am so taking up knitting now.

*owwww!

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The Communications of the ACM has a reasonably recent paper skewering some work done by Google, which had been published in Nature.

Reevaluating Google’s Reinforcement Learning for IC Macro Placement
Meta-analysis discusses the reproduction and evaluation of results in a 2021 paper about using RL to design silicon chips, as well as the validity of methods, results, and claims.
By Igor L. Markov
Posted Oct 23 2024

Key Insights

  • A Nature paper from Google with revolutionary claims in AI-enabled chip design was heralded as a breakthrough in the popular press, but it was met with skepticism from domain experts for being too good to be true and for lacking reproducible evidence.
  • Now, crosschecked data indicate that the integrity of the Nature paper is substantially undermined owing to errors in conduct, analysis, and reporting. Independently, detailed allegations of fraud and research misconduct in the Google Nature paper have been filed under oath in California.
  • Nature has been slow to enforce its own policies. Delaying retractions of problematic publications is distorting the scientific process. Swift and decisive action is necessary to maintain the integrity and credibility of scientific research.
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Short film’s AI re the American Flag: “There were 15 original states.”

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An AI shidduch. Oh, my fucking god.

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Can we talk for a minute (slightly off-topically) about how Nature is an absolute garbage journal more interested with publishing papers with attention-grabbing headlines than it is with publishing papers that meet the barest standards of research integrity or scientific validity?

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hug-sad-2431492870

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The original image is also better:

Theft:

I like this comment from that thread: