SemiAnalysis published something of a bombshell leaked document this morning: Google “We Have No Moat, And Neither Does OpenAI”. The source of the document is vague: The text below is …

“…The premise of the paper is that while OpenAI and Google continue to race to build the most powerful language models, their efforts are rapidly being eclipsed by the work happening in the open source community…”

@similideano@sopuli.xyz
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“I have no moat, and I must scream”

- Google

@Veritas@lemmy.ml
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The leaked document from a Google researcher argues that open source is rapidly outpacing Google and OpenAI in terms of AI models. They have solved major problems, are faster, more customizable, and more capable, with the gap in quality quickly closing. This means that Google needs to collaborate with what is being done outside of the company, consider where its value-add is, and make small variants a priority. The document notes that the innovations that power open source’s recent successes directly solve problems that Google is still struggling with, and that LoRA is underexploited inside Google.

@OsrsNeedsF2P@lemmy.ml
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Jfc this is hilarious

Keeping our technology secret was always a tenuous proposition. Google researchers are leaving for other companies on a regular cadence, so we can assume they know everything we know, and will continue to for as long as that pipeline is open.

@Rentlar@lemmy.ca
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I’m cheering for the open-source team to successfully surpass Bard and ChatGPT eventually.

☆ Yσɠƚԋσʂ ☆
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Yeah, this kind of tech absolutely needs to be developed in the open and stay accessible to regular people. Absolute worst case scenario is that corps start hoarding it.

@OsrsNeedsF2P@lemmy.ml
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Amen to that. Stable Diffusion (open source) is already kicking ass in the AI image generation department. with Midjourney only beating it in a very few number of categories

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Artificial intelligence (AI) is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen.

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