this post was submitted on 27 Jan 2025
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[–] skuzz@discuss.tchncs.de 81 points 5 days ago

Almost like yet again the tech industry is run by lemming CEOs chasing the latest moss to eat.

[–] MetalMachine@feddit.nl 65 points 5 days ago (12 children)

The best part is that it's open source and available for download

[–] Phoenicianpirate@lemm.ee 24 points 5 days ago (11 children)

So can I have a private version of it that doesn't tell everyone about me and my questions?

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[–] 5in1k@lemm.ee 87 points 5 days ago (6 children)

The economy rests on a fucking chatbot. This future sucks.

[–] Cowbee@lemmy.ml 25 points 5 days ago (2 children)

On the brightside, the clear fragility and lack of direct connection to real productive forces shows the instability of the present system.

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[–] SocialMediaRefugee@lemmy.ml 59 points 5 days ago (10 children)

This just shows how speculative the whole AI obsession has been. Wildly unstable and subject to huge shifts since its value isn't based on anything solid.

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[–] Doomsider@lemmy.world 78 points 5 days ago (6 children)

Wow, China just fucked up the Techbros more than the Democratic or Republican party ever has or ever will. Well played.

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[–] toothbrush@lemmy.blahaj.zone 129 points 6 days ago* (last edited 6 days ago) (2 children)

One of those rare lucid moments by the stock market? Is this the market correction that everyone knew was coming, or is some famous techbro going to technobabble some more about AI overlords and they return to their fantasy values?

[–] themoonisacheese@sh.itjust.works 101 points 6 days ago (5 children)

It's quite lucid. The new thing uses a fraction of compute compared to the old thing for the same results, so Nvidia cards for example are going to be in way less demand. That being said Nvidia stock was way too high surfing on the AI hype for the last like 2 years, and despite it plunging it's not even back to normal.

[–] jacksilver@lemmy.world 26 points 6 days ago (2 children)

My understanding is it's just an LLM (not multimodal) and the train time/cost looks the same for most of these.

I feel like the world's gone crazy, but OpenAI (and others) is pursing more complex model designs with multimodal. Those are going to be more expensive due to image/video/audio processing. Unless I'm missing something that would probably account for the cost difference in current vs previous iterations.

[–] will_a113@lemmy.ml 39 points 6 days ago (5 children)

The thing is that R1 is being compared to gpt4 or in some cases gpt4o. That model cost OpenAI something like $80M to train, so saying it has roughly equivalent performance for an order of magnitude less cost is not for nothing. DeepSeek also says the model is much cheaper to run for inferencing as well, though I can’t find any figures on that.

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[–] NutWrench@lemmy.ml 10 points 4 days ago

The "1 trillion" never existed in the first place. It was all hype by a bunch of Tech-Bros, huffing each other's farts.

[–] protist@mander.xyz 106 points 6 days ago (1 children)

Emergence of DeepSeek raises doubts about sustainability of western artificial intelligence boom

Is the "emergence of DeepSeek" really what raised doubts? Are we really sure there haven't been lots of doubts raised previous to this? Doubts raised by intelligent people who know what they're talking about?

[–] floofloof@lemmy.ca 32 points 6 days ago* (last edited 6 days ago)

Ah, but those "intelligent" people cannot be very intelligent if they are not billionaires. After all, the AI companies know exactly how to assess intelligence:

Microsoft and OpenAI have a very specific, internal definition of artificial general intelligence (AGI) based on the startup’s profits, according to a new report from The Information. ... The two companies reportedly signed an agreement last year stating OpenAI has only achieved AGI when it develops AI systems that can generate at least $100 billion in profits. That’s far from the rigorous technical and philosophical definition of AGI many expect. (Source)

[–] Arehandoro@lemmy.ml 54 points 5 days ago (2 children)

Nvidia’s most advanced chips, H100s, have been banned from export to China since September 2022 by US sanctions. Nvidia then developed the less powerful H800 chips for the Chinese market, although they were also banned from export to China last October.

I love how in the US they talk about meritocracy, competition being good, blablabla... but they rig the game from the beginning. And even so, people find a way to be better. Fascinating.

[–] shawn1122@lemm.ee 28 points 5 days ago

You're watching an empire in decline. It's words stopped matching its actions decades ago.

[–] Breve@pawb.social 15 points 5 days ago* (last edited 5 days ago)

Don't forget about the tariffs too! The US economy is actually a joke that can't compete on the world stage anymore except by wielding their enormous capital from a handful of tech billionaires.

[–] JOMusic@lemmy.ml 51 points 5 days ago (8 children)
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[–] wulrus@programming.dev 55 points 5 days ago (2 children)

Hello darkness my old friend

[–] Pieisawesome@lemmy.world 19 points 5 days ago (3 children)

It’s knowledge isn’t updated.

It doesn’t know current events, so this isn’t a big gotcha moment

[–] Klear@lemmy.world 14 points 5 days ago (1 children)
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[–] PanArab@lemmy.ml 19 points 5 days ago (2 children)

We will have true AI once it is capable of answering “I don’t know” instead of making things up

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[–] PlantPowerPhysicist@discuss.tchncs.de 47 points 5 days ago (2 children)

Remember to cancel your Microsoft 365 subscription to kick them while they're down

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[–] Etterra@discuss.online 50 points 6 days ago (3 children)

Good. LLM AIs are overhyped, overused garbage. If China putting one out is what it takes to hack the legs out from under its proliferation, then I'll take it.

[–] davel@lemmy.ml 27 points 6 days ago (5 children)

Cutting the cost by 97% will do the opposite of hampering proliferation.

[–] ArchRecord@lemm.ee 26 points 6 days ago

Possibly, but in my view, this will simply accelerate our progress towards the "bust" part of the existing boom-bust cycle that we've come to expect with new technologies.

They show up, get overhyped, loads of money is invested, eventually the cost craters and the availability becomes widespread, suddenly it doesn't look new and shiny to investors since everyone can use it for extremely cheap, so the overvalued companies lose that valuation, the companies using it solely for pleasing investors drop it since it's no longer useful, and primarily just the implementations that actually improved the products stick around due to user pressure rather than investor pressure.

Obviously this isn't a perfect description of how everything in the work will always play out in every circumstance every time, but I hope it gets the general point across.

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[–] Clent@lemmy.dbzer0.com 26 points 5 days ago (1 children)

No surprise. American companies are chasing fantasies of general intelligence rather than optimizing for today's reality.

[–] Naia@lemmy.blahaj.zone 23 points 5 days ago (1 children)

That, and they are just brute forcing the problem. Neural nets have been around for ever but it's only been the last 5 or so years they could do anything. There's been little to no real breakthrough innovation as they just keep throwing more processing power at it with more inputs, more layers, more nodes, more links, more CUDA.

And their chasing a general AI is just the short sighted nature of them wanting to replace workers with something they don't have to pay and won't argue about it's rights.

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[–] SplashJackson@lemmy.ca 50 points 6 days ago (1 children)

Lol serves you right for pushing AI onto us without our consent

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[–] PlutoniumAcid@lemmy.world 20 points 5 days ago (10 children)

So if the Chinese version is so efficient, and is open source, then couldn't openAI and anthropic run the same on their huge hardware and get enormous capacity out of it?

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[–] jsomae@lemmy.ml 37 points 6 days ago (2 children)

The funny thing is, this was unveiled a while ago and I guess investors only just noticed it.

[–] NoSpotOfGround@lemmy.world 65 points 6 days ago* (last edited 6 days ago) (1 children)

Text below, for those trying to avoid Twitter:

Most people probably don't realize how bad news China's Deepseek is for OpenAI.

They've come up with a model that matches and even exceeds OpenAI's latest model o1 on various benchmarks, and they're charging just 3% of the price.

It's essentially as if someone had released a mobile on par with the iPhone but was selling it for $30 instead of $1000. It's this dramatic.

What's more, they're releasing it open-source so you even have the option - which OpenAI doesn't offer - of not using their API at all and running the model for "free" yourself.

If you're an OpenAI customer today you're obviously going to start asking yourself some questions, like "wait, why exactly should I be paying 30X more?". This is pretty transformational stuff, it fundamentally challenges the economics of the market.

It also potentially enables plenty of AI applications that were just completely unaffordable before. Say for instance that you want to build a service that helps people summarize books (random example). In AI parlance the average book is roughly 120,000 tokens (since a "token" is about 3/4 of a word and the average book is roughly 90,000 words). At OpenAI's prices, processing a single book would cost almost $2 since they change $15 per 1 million token. Deepseek's API however would cost only $0.07, which means your service can process about 30 books for $2 vs just 1 book with OpenAI: suddenly your book summarizing service is economically viable.

Or say you want to build a service that analyzes codebases for security vulnerabilities. A typical enterprise codebase might be 1 million lines of code, or roughly 4 million tokens. That would cost $60 with OpenAI versus just $2.20 with DeepSeek. At OpenAI's prices, doing daily security scans would cost $21,900 per year per codebase; with DeepSeek it's $803.

So basically it looks like the game has changed. All thanks to a Chinese company that just demonstrated how U.S. tech restrictions can backfire spectacularly - by forcing them to build more efficient solutions that they're now sharing with the world at 3% of OpenAI's prices. As the saying goes, sometimes pressure creates diamonds.

Last edited 4:23 PM · Jan 21, 2025 · 932.3K Views

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[–] wrekone@lemmy.dbzer0.com 32 points 5 days ago

Wait. You mean every major tech company going all-in on "AI" was a bad idea. I, for one, am shocked at this revelation.

[–] MooseTheDog@lemmy.world 20 points 5 days ago (2 children)
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[–] Phen@lemmy.eco.br 41 points 6 days ago (3 children)

"wiped"? There was money and it ceased to exist?

[–] protist@mander.xyz 31 points 6 days ago* (last edited 6 days ago) (5 children)

The money went back into the hands of all the people and money managers who sold their stocks today.

Edit: I expected a bloodbath in the markets with the rhetoric in this article, but the NASDAQ only lost 3% and the DJIA was positive today...

Nvidia was significantly over-valued and was due for this. I think most people who are paying attention knew that

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[–] digdilem@lemmy.ml 27 points 5 days ago (5 children)

As a European, gotta say I trust China's intentions more than the US' right now.

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[–] synae 19 points 5 days ago (19 children)

Idiotic market reaction. Buy the dip, if that's your thing? But this is all disgusting, day trading and chasing news like fucking vultures

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[–] ech@lemm.ee 25 points 6 days ago (4 children)

Hilarious that this happens the week of the 5090 release, too. Wonder if it'll affect things there.

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