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From the article:

That Google memo about having “no moat” in AI was real — and Google’s AI boss disagrees with it

Just a couple of months ago, a leaked memo said to be from a Google researcher cast doubt on the company’s future in AI, stating that it has “no moat” in the industry — and now, we seemingly have confirmation that it was real. In an interview with Decoder, Demis Hassabis, the CEO of Google’s DeepMind, told The Verge that although he believes the memo was legitimate, he disagrees with its conclusions.

“I think that memo was real. I think engineers at Google often write various documents, and sometimes they get leaked and go viral,” Hassabis said. “I think it’s interesting to listen to them, and then you’ve got to chart your own course. And I haven’t read that specific memo in detail, but I disagree with the conclusions from that.”

The memo, which was obtained by SemiAnalysis from a public Discord server, says that neither Google nor OpenAI have what they need to succeed in the AI industry. Instead, the researcher claims “a third faction has been quietly eating our lunch”: open-source AI models that the researcher says are “faster, more customizable, more private, and pound-for-pound more capable.”

But Hassabis is less pessimistic about Google’s future in the AI industry. He believes that the competitive nature of the company’s researchers will help push Google to the forefront of AI, adding that the newly merged Google Brain and Google DeepMind teams, which Hassabis was asked to lead, will likely result in more breakthroughs.

“Look at the history of what Google and DeepMind have done in terms of coming up with new innovations and breakthroughs,” Hassabis said. “I would bet on us, and I’m certainly very confident that that will continue and actually be even more true over the next decade in terms of us producing the next key breakthroughs just like we did in the past.”

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[-] jray4559@lemmy.fmhy.ml 8 points 1 year ago* (last edited 1 year ago)

And I disagree with it too. And it's not because of how good the models are in technical terms, the corporate juggernauts are only just ahead of OSS on that front... it's server space and the money to acquire it that is the moat.

An average internet user will not install the Vicunas and the Pygmalions and the LLaMAs of the LLM space. Why?

For one, the field is too complicated to get into, but, more importantly, a lot of people can't.

Even the lowest complexity models require a PC + graphics card with a fairly beefy amount of VRAM (6GB at bare minimum), and the ones that can go toe-to-toe with ChatGPT are barely runnable on even the most monstrous of cards. No one is gonna shell out 1500 bucks for the 4090 just so they can run Vicuna-30B.

They are gonna use online, free-to-use, no BS, no technical jargon LLM services. All the major companies know that.

ChatGPT and services like it have made the expectation: "just type it in, get amazing response in seconds, no matter where".

OSS can't beat that, at least not right now. And until it can, the 99% will be in Silicon Valley's jaws.

[-] mydataisplain@lemmy.world 3 points 1 year ago

Have you looked into AIHorde?
It's clearly harder to use than the commercial alternatives but at first glance it doesn't seem to bad.
It looks about as complicated as setting up any of the other volunteer compute projects (like SETI@home).

[-] Marxine@lemmy.ml 2 points 1 year ago

I didn't know about it, but it looks really neat. Gonna give it a spin to help me summarize documentation.

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this post was submitted on 11 Jul 2023
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