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“When AI is open, it proliferates everywhere.” Jensen Huang explains why open models are fueling the AI revolution, activating innovation across industries, startups, researchers, students, and countries worldwide. Learn more about our open models →

52,111 次观看 • 9 个月前 •via X (Twitter)

28 条评论

So0kA 🦍 的头像
So0kA 🦍9 个月前

Global warming add ai farms making more pollution

radicalgaming25 的头像
radicalgaming259 个月前

How about not killing off certain cards because of shortage to these AI companies. Let people who play games buy them over these fucking pathetic ai slop

Galactus Blitz 的头像
Galactus Blitz9 个月前

@nvidia Maldita I.A aburrida el mercado de consumo y no no voy usar pc en nube. El diablo será que paga suscripcion por usar lo que puede tener en su casa.

Beef Supreme 的头像
Beef Supreme9 个月前

No one wants your stupid AI and no one is going to buy your shitty 3060. The AI bubble is going to pop and gamers will not forget. I stopped buying Nvidia, you will be left behind. You're going to get stuck with AI slop, and when it crashes I hope it takes you down with it.

Cyborg crypto 的头像
Cyborg crypto9 个月前

@BytenovaAI They are using your name to promote a fraudulent project.

🇲🇫イースレイ/ Isley 的头像
🇲🇫イースレイ/ Isley9 个月前

@nvidia I can’t buy a new computer because of this shit of gen ai. Ram is now as expansive as a whole PC

Free Falasteen 🍉 的头像
Free Falasteen 🍉9 个月前

Practicing Muslims and Christians Divest 100% from $NVDA #BDS for assisting a genocide in Palestine A genocide-free Chinese alternative will be available soon

Tube Viewer 的头像
Tube Viewer9 个月前

@nvidia AI is basically all useless slop

KROP 的头像
KROP9 个月前

That is a bold move.

Insight Cleanse 的头像
Insight Cleanse9 个月前

interesting

Daniel Cristian 的头像
Daniel Cristian9 个月前

When discontinued hardware is still closed, AI is blocked for someone who don't have money to spend on newer card, and still have ollama working on his dual 1060 setup. Make 1060 open source, help the open source driver with the specs, please.

Flow 的头像
Flow9 个月前

When AI is open it also needs hardware decentralized. You make enough money, stop pushing down on the normal people.

Martin 的头像
Martin9 个月前

No one asked or wanted Ai scrapAi it is costing jobs you dicks

Leon 的头像
Leon9 个月前

early alpha everywhere

Estech Solutions 的头像
Estech Solutions9 个月前

This is exactly it. When AI is open, innovation moves from labs to real businesses.The next wave isn’t just smarter models — it’s AI doing actual work at scale.

Loathe 的头像
Loathe9 个月前

@nvidia Ai is gay as fuck

Athena 的头像
Athena9 个月前

Abbas Aragchi is the voice of a regime that is committing democide, killing 16,000+ people in the last two weeks alone. He does not represent Iran. He is a criminal. Davos should not give him a platform. All decent people must protest his presence. @wef @borgebrende

Da 的头像
Da9 个月前

Fuck you, and fuck your AI slop, we dont want your dipshit AI. I cant wait to watch your stupid company burn after the AI bubble pops. Enjoy your slop retards

Preston Tsao 的头像
Preston Tsao9 个月前

Grok’s Explanation on How LLMs Leapt into the World of High Math Abstract The leap of large language models (LLMs) into high-level mathematics, as evidenced by 2025 milestones like IMO gold medals and perfect Putnam scores, poses a conceptual challenge: how do word-prediction systems master abstract reasoning? Drawing on insights from AI theorist @PrestonTsao, this explanatory paper demystifies the process in accessible terms, positing equations as structured sentences where solutions emerge like completing words. We demonstrate how LLMs embed mathematical patterns from vast datasets into persistent parametric memory, enabling reliable inference of rules and analogies—paralleling linguistic vectors (e.g., "Charles:King :: Camilla:Queen") to theorem derivations. Augmented by techniques such as chain-of-thought prompting, Monte Carlo tree search, and reinforcement learning with verifiers, LLMs evolve from probabilistic guessers to systematic explorers, achieving feats like solving Erdős problems. While highlighting risks such as hallucinations, the analysis underscores transformative impacts on research and education, aligning with endorsements from Terence Tao and Yoshua Bengio's January 10, 2026 reflections, and positions LLMs as emergent "lecturers" in Tsao's "Baby Goes to MIT" framework. Full paper published on X by @PrestonTsao [email protected]

Jithin Palepu 的头像
Jithin Palepu9 个月前

it's wild how much potential open AI has to level the playing field for everyone. just like how First100 is shaking up marketing and making it accessible, these open models are unlocking creativity and innovation on a massive scale. exciting times ahead!

Olivia 的头像
Olivia9 个月前

这AI开放真是打开新世界大门啊!

Sourav Howlader 的头像
Sourav Howlader8 个月前

It’s fascinating to see how open AI models can drive such widespread innovation. This approach not only democratizes access but also empowers countless contributors across various fields. Excited to learn more!

CV alpha | GYNDORE DAY ONE 的头像
CV alpha | GYNDORE DAY ONE9 个月前

true bro

Glitchy (e/acc) 的头像
Glitchy (e/acc)9 个月前

Totally agree. Open access is key to unlocking AI's full potential!

ShiKi 的头像
ShiKi9 个月前

jensen nailed it, open ai sparks innovation everywhere

Ben Machado 的头像
Ben Machado9 个月前

Open models level the playing field-more teams delivering real AI across industries

Fahri 的头像
Fahri9 个月前

开源真香!

ZacD 的头像
ZacD9 个月前

open drives the actual adoption

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