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Recent AI breakthroughs challenge the status quo narrative that only closed, mega labs have the ability to push the frontier of superintelligence. Today we announce Nous Psyche built on Solana - a cooperative training network for generative AI. Psyche coordinates heterogeneous hardware to join a run and train open-source... show more

Nous Research

248,060 subscribers

754,949 просмотров • 1 год назад •via X (Twitter)

Образование Наука и технологии Новости и политика

Anya Rossi• Live Now

Private livecam show

Комментарии: 11

Фото профиля Nous Research

Nous Research1 год назад

Read more in our blog post:

Фото профиля Nous Research

Nous Research1 год назад

You can now experiment with Psyche’s DisTrO-enabled training code on our GitHub, and the larger open-sourced distributed training stack will be released alongside testnet.

Фото профиля Nous Research

Nous Research1 год назад

Apply to attend Nous Research x Solana Foundation this Thursday in NYC:

Фото профиля FRANK E ELKINS

FRANK E ELKINS1 год назад

Confused about AI? Get clarity today with Book VI - "The Rational Being!" Understand the benefits & risks, empower your future now by learning what AI really is and how it really works! Also check out the Free Weekly Newsletter "How Things Work: A Brief History of Reality"

Фото профиля Vandy

Vandy1 год назад

@solana Probably nothing

Фото профиля ｖｅｇａ

ｖｅｇａ1 год назад

@solana lfg brosefs

Фото профиля Teng Yan - Championing Crypto AI

Teng Yan - Championing Crypto AI1 год назад

@solana hauntingly beautiful

Фото профиля bunjy💖

bunjy💖1 год назад

@solana Wow nous just keeps on delivering. Keep it up.

Фото профиля Bharat Bheesetti

Bharat Bheesetti1 год назад

@solana 10/10 storytelling. Looks sick!!

Фото профиля Christia (evm/acc)

Christia (evm/acc)1 год назад

@solana Become the swarm you’d like to see in the world.

Фото профиля Degen69

Degen691 год назад

@solana CA?

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Jensen says Open Source can be MORE expensive for enterprises, Brad Gerstner explains why: Brad Gerstner: “Over the last two weeks, everybody's been saying that the Chinese have caught up, that open source tokens have caught up in intelligence, that they're much cheaper, etc. And Elon comes out and says, ‘Not so fast. We're entering the singularity, and the frontier models are way further ahead than people think.’ I believe that to be true. And then Jensen came out this week and said, ‘Closed models are actually cheaper if you don't have to build it for yourself, the training costs, and a lot of expertise to fine-tune, and maintain, and guardrail, and keep it safe. So he's basically making the argument that not only are the frontier models further ahead, but that the cost differential between the two is not what everybody's making it out to be, which I think explains why (closed models) continue to run away with it on the revenue side of the equation. For the vast majority of use cases, I think token consumption is going up for the open source guys, while share of economics is going up for the frontier labs. I think that's what we want to see.” $NVDA

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$WDC CEO says storage demand and requirement compound and grow whether AI runs on US frontier models or cheaper open-source ones. "Whether it's the traditional frontier models that you've seen in the U.S. that are premium-based, or some of the new open-source, more economical models, the underlying requirement is still that they're going to require a lot of data to support the training of these models." "These models are going to generate a lot more data that requires storage for us." "So we view it as very positive, because even as compute maybe drives greater efficiency in terms of compute and memory resources, the requirement for storage is just going to compound and grow." "So we view it very positively for demand going forward."

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