About as open source as a binary blob without the training data
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[email protected]replied to [email protected] last edited by
China's new and cheaper magic beans shock America's unprepared magic bean salesmen
American magic bean companies like Beanco, The Boston Bean Company, and Nvidia have already shed hundreds of billions of dollars in stock value.
The Beaverton (www.thebeaverton.com)
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I like how when America does it we call it AI, and when China does it it's just an LLM!
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Hm. I speak like a bot, do I? Maybe I am autistic after all.
I am aware, my boyfriend and I have already had this conversation, but I guess he's not on Lemmy, so you can't ask him.
Yes, DeepSeek caused a drop in the stock price, but you were saying that believing that LLM's are over-hyped would lead to having insider knowledge and could give us an advantage in the stock market. Particularly with their already tanked stock. However, the stock market fluctuates based on hype, not value, and will do whatever the fuck it pleases, so the only way to have insider knowledge is by being on a board who controls the price or by managing to dump hype into the system. That is not something a lot of people have the power to do individually.
But since you think I'm a bot and I have no way to disprove that thanks to what the world is now, I bid you adieu. I hope you're having a good one. And stop antagonizing people for talking differently, please.
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Yeah, let's all base our decisions and definitions on what the stock market dictates. What could possibly go wrong?
/s
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communist developed, energy efficient AI.
lol
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When your narcissism has reached the point of, ‘I know better than every hedge fund manager, and technical expert on the subject’, it’s time to get an evaluated for a personality disorder.
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What’s inaccurate about it?
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I'm including Facebook's LLM in my critique. And I dislike the current hype on LLMs, no matter where they're developed.
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Ok, then my definition givenwas too narrow, when I said "reproducable binaries". If data claims to be "open source", then it needs to supply information on how to reproduce it.
Open data has other criteria, I'm sure.
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Hedge |und managers aren't in the business of knowing things about technology. And I'm not claiming that I know more than "every" technical expert.
The thing is: not "every" expert agrees with the claims of Sam Altman and company. You'll find that most who agree with him have a material incentive to do so (or are deranged lunatics babbling about Rocco's Basilisk)
I'm literally informed by experts on the field. And quits a bunch agree that the claims of OpenAI are bogus marketing hype and that we're currently at the cusp of a bursting AI bubble.
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China is a state-capitalist, bourgeois society. They're not a communist society.
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The differenge is that the dataset is baked into the weights of the model. Your emulation analogy simply doesn't have a leg to stand on. I don't think you know how neural networks work.
The standards are literally the basis of open source.
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I don’t think you know why any of those words mean. Just regurgitating propaganda.
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You seem to be implying you think you know better than the technical experts at these big hedge funds. Why not sell your expertise to them, and become rich?
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I made my level of understanding kinda open at the start. And you say it’s not, open source most say it is, and they explained why, and when i checked all their points were true, and o tried to understand as best i could. The bottom line is that the reason for the disagreement is you say the training data and the weights together are an inseparable part of the whole and if any part of that is not open then the project as a whole is not open. I don’t see how that tracks when the weights are open, and both it and the training data can be removed and switched to something else. But i have come to believe the response would just boil down to you can’t separate it. There really is no where else to go at this point.
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[email protected]replied to [email protected] last edited by
Yeah, this shit drives me crazy. Putting aside the fact that it all runs off stolen data from regular people who are being exploited, most of this "AI" shit is basically just freeware if anything, it's about as "open source" as Winamp was back in the day.
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American magic bean companies like Beanco, The Boston Bean Company, and Nvidia
Lol
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my definition givenwas too narrow
Yes, that's what I said when you opted to take the first half of a sentence out of context.
The common usage of open data is just that it's freely shareable.
Like I said in my initial comment, people frequently use "open source" to refer to it, but it's such a pervasive error that it hardly worth getting too caught up on and practically doesn't count as an error anymore.Some open data can't be reproduced by anyone who has access to the data.
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I'm not into gambling and know that the house always wins.
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I was specifically addressing the use of the phrase "open source". And the term "open data" doesn't apply either, since it's not a dataset that's distributed, but rather weights of an LLM with data baked into it. That's neither open source nor open data.