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NVIDIA AQCURIES HUGGING FACE FOR $12.9B. Jensen on the value of open source models: "I recommended that people use closed models as much as they can because they are developing rapidly. We use Claude, Codex, Perplexity, and Cursor at Nvidia. However, there are so many companies that have domain... show more

amit

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123,528 views • 2 months ago •via X (Twitter)

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32 Comments

Chad Wahlquist2 months ago

The tides are turning, another great step in the right direction for sovereignty

amit2 months ago

Seems like the two companies arguing for sovereignty might have an understanding about why it’s so important… $PLTR $NVDA

bacon2 months ago

what kind of fuck ass company name is that

SoDakZak2 months ago

A reminder that to NVDA, $13B is less than 2 weeks of their revenue run rate 🤯

amit2 months ago

The scale of this company being something we all get to witness is incredible

Talha Raza2 months ago

tells everyone to use closed models while spending $12.9B to own the biggest open source platform. that's not a recommendation, it's a roadmap for capture.

Dhillon hany2 months ago

😇 doggy

shipboard.ca2 months ago

The quiet part in that clip: Nvidia runs Claude, Codex and Cursor internally while telling everyone else open weights are good enough. Both are true. Closed models still win on long agent runs; open ones win the day you need the weights on your own hardware.

HamptonsJ2 months ago

hugging face is jensen's $NBIS in terms of llm

Eirin Yagokoro🏳️‍🌈🏳️‍⚧️2 months ago

AI sovereignty is the future

Alex Harris2 months ago

$AMD too early on open-source, now Jensen Mr. Copycat. Lisa Su grinning in the background😎

Hank Bets2 months ago

This paradigm is interesting. Only companies with a lot of capital will have the resources to build out their own AI systems however

AGTP2 months ago

Jensen's point about sovereignty and domain expertise is so important for the future of open source. We actually went deeper on this here:

Raza2 months ago

Jensen says use closed models while buying the biggest open source platform. $12.9B to capture what was community infrastructure. Open source becomes a walled garden once billionaires own it. Who actually controls AI development now?

Confid2 months ago

Buried in that quote: "We use Claude, Codex, Perplexity, and Cursor at Nvidia." The company that just paid $12.9B for the open model platform runs its own work on closed ones. That is not hypocrisy. It is the most honest capability read anyone has given all year.

Bryan2 months ago

Nvidia acquires Wilson Leather for Jenson's horrible leather coat collection.

Tim哥2 months ago

buying the place every open model already lives on is a distribution play more than a model play. the quote underneath it is doing a lot of work too.

thetruthishere2 months ago

why the headline? we knew that already.

Sam Ongaro2 months ago

Interesting move - this could boost open source AI as firms push for better governance while keeping access open. Do you think more vendors will follow and open up their tech to keep innovation alive?

Chris2 months ago

S/o @KDTrey5 🫡

Daniel2 months ago

What about wounded knee for 10 billion?

Richard Roughton2 months ago

Long term, AI software will exceed hardware in sales.

Emmett3212 months ago

Black jacket =

TheWaveIsComing2 months ago

and if someone creates an other open source repository he's gonna pay another 13b to buy it lol ?

FinXDad2 months ago

Nvidia is mastering the AI infrastructure and making sure Nvidia is at the centre of AI ecosystem

Brown Musk2 months ago

This is coward move by NVIDIA. Afraid of open source AI making GPU usage drop?

RC2 months ago

Jensen’s EQ is out of my reach.

🦋匕工êれ丹れムモㄥ🦋2 months ago

This isn’t NVIDIA buying a model host. It’s NVIDIA buying the distribution layer. Whoever owns where developers pick, fine-tune, and ship models owns the next wave of GPU demand. $12.9B for that map is cheap if the “open stays open” promise holds. $NVDA

吳信賦2 months ago

他說的確實不錯！

Cryptoartmaster2 months ago

NVIDIA using internal tools like Claude shows why open source remains critical for their own rapid iteration.

JeebsTX 🇺🇸2 months ago

Someone is all smiles.

Mike2 months ago

NVIDIA says Hugging Face will remain open and will not require NVIDIA compute. Will that commitment also cover Hub APIs, gated-model access, inference pricing, and enterprise deployment on alternative hardware?

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$NVDA is acquiring Hugging Face because Jensen sees open models becoming good enough for companies to “build their own AI.” The opportunity is in enterprises that need control of their IP, data and sovereignty making Hugging Face a strategic distribution layer for that shift.

$NVDA is acquiring Hugging Face because Jensen sees open models becoming good enough for companies to “build their own AI.” The opportunity is in enterprises that need control of their IP, data and sovereignty making Hugging Face a strategic distribution layer for that shift.

Shay Boloor

61,405 views • 2 months ago

.Josh Wolfe: Anybody Using DeepSeek App Is 'Absolute Fool' "Anybody using the DeepSeek app is an absolute fool. If you're using DeepSeek on companies like Together Compute, one of Lux's companies, which can get rid of the CCP censorship, then it's probably okay. But remember, the open-source movement is something we deeply believe in. Most great technologists, entrepreneurs, and venture capitalists are on the side of open source. The closed-source models that have consumed tens of billions of dollars are the ones that are really going to be at risk. When you look at Hugging Face, a major repository, or Together Compute, Runway ML, and a lot of Lux's companies, they have been pioneers in open source. Now, why am I not worried about open source, even with the DeepSeek model? As long as you don't have the CCP censorship on it, the models with their open weights allow people to run on their proprietary data. This means companies like pharma or defense companies that have their own siloed, proprietary data—think about Bloomberg with their proprietary longitudinal data, or Meta with their data—are the ones who will have the edge. Even as open source takes hold, these companies will still dominate. I’m not worried about open source being the problem. I’m more concerned about people overfunding closed models with no proprietary source. A lot of capital is going to be burned there, and we’re already seeing that with people worried about OpenAI in some aspects."

.Josh Wolfe: Anybody Using DeepSeek App Is 'Absolute Fool' "Anybody using the DeepSeek app is an absolute fool. If you're using DeepSeek on companies like Together Compute, one of Lux's companies, which can get rid of the CCP censorship, then it's probably okay. But remember, the open-source movement is something we deeply believe in. Most great technologists, entrepreneurs, and venture capitalists are on the side of open source. The closed-source models that have consumed tens of billions of dollars are the ones that are really going to be at risk. When you look at Hugging Face, a major repository, or Together Compute, Runway ML, and a lot of Lux's companies, they have been pioneers in open source. Now, why am I not worried about open source, even with the DeepSeek model? As long as you don't have the CCP censorship on it, the models with their open weights allow people to run on their proprietary data. This means companies like pharma or defense companies that have their own siloed, proprietary data—think about Bloomberg with their proprietary longitudinal data, or Meta with their data—are the ones who will have the edge. Even as open source takes hold, these companies will still dominate. I’m not worried about open source being the problem. I’m more concerned about people overfunding closed models with no proprietary source. A lot of capital is going to be burned there, and we’re already seeing that with people worried about OpenAI in some aspects."

Josh Caplan

40,039 views • 1 year ago

David Sacks: Anthropic Is Trying to Crush Open Source AI and the American Developers Who Use It David Sacks: “I know people don't have a lot of sympathy for Chinese companies, that's fine. I'm not defending Chinese companies. I'm defending American developers who need to be able to use everything in the public domain. And let me give you an example. Cursor rolled out its new product, Composer 2. They were able to post-train that model using Kimi K2.5 on their own proprietary coding data. They started with a Chinese open source model, and then they used their own data, and they came up with a new derivative product. This is the way that open source works. You take things that are in the public domain, you fork them, you make them your own. And by the way, once it's in the public domain, it's not a Chinese model anymore. No data is going back to China, nothing's going back to China. An American company has taken open source contributions in the public domain, made it their own, and then developed their own model. And if you say that American companies can't do that, or that somehow it's tainted with IP theft, you are basically going to put a dagger through the heart of the entire American open source ecosystem. And that is exactly what Anthropic wants, because they do not want to have the competition.”

David Sacks: Anthropic Is Trying to Crush Open Source AI and the American Developers Who Use It David Sacks: “I know people don't have a lot of sympathy for Chinese companies, that's fine. I'm not defending Chinese companies. I'm defending American developers who need to be able to use everything in the public domain. And let me give you an example. Cursor rolled out its new product, Composer 2. They were able to post-train that model using Kimi K2.5 on their own proprietary coding data. They started with a Chinese open source model, and then they used their own data, and they came up with a new derivative product. This is the way that open source works. You take things that are in the public domain, you fork them, you make them your own. And by the way, once it's in the public domain, it's not a Chinese model anymore. No data is going back to China, nothing's going back to China. An American company has taken open source contributions in the public domain, made it their own, and then developed their own model. And if you say that American companies can't do that, or that somehow it's tainted with IP theft, you are basically going to put a dagger through the heart of the entire American open source ecosystem. And that is exactly what Anthropic wants, because they do not want to have the competition.”

The All-In Podcast

278,826 views • 3 months ago

"Closed models are cheaper. The reason you need open models is that they give you control". - Nvidia CEO Jensen Huang "One of the things that people misunderstand about open models is this: yes, you can host them yourself, and you can build your own computer. But most people use computers in the cloud. Frankly, I think closed models are cheaper. If you do not build everything yourself, you avoid the significant cost and expertise required to train, fine-tune, maintain, guardrail, evaluate, and keep the model safe. You would also need to build or obtain the computers required to host it. So, there is nothing cheap about doing all of that yourself. The reason you need open models is that they give you control. You can adapt them for your own highly specialized use cases. I think there is a lot of misunderstanding about closed models versus open models. We felt it was important for people to understand that there is a place for both." ---- From "Bloomberg Podcasts" YouTube channel, (full video link in comment)

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Rohan Paul

32,317 views • 2 months ago

🇺🇸 🇷🇺 Putin says American companies want to return to Russia and do business. “We already have letters from American companies that they sent to us ‘not to forget them’,” Putin said. “They want to return,” he added. The companies wrote that they did not leave because of their own free will and now they are watching all political signals, he added.

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Lenka White

486,260 views • 11 months ago

⚡Faster models mean smarter AI. ⚡ With Nemotron's open-source technologies, we're enabling organizations to create AI agents that get more done in less time. Big or small, we are committed to helping companies all around the world build & deploy AI for their own needs. See how:

⚡Faster models mean smarter AI. ⚡ With Nemotron's open-source technologies, we're enabling organizations to create AI agents that get more done in less time. Big or small, we are committed to helping companies all around the world build & deploy AI for their own needs. See how:

NVIDIA

35,710 views • 1 year ago

.tobi lutke says most companies think about recruiting backwards: “My job is to make a company worthy for the best and brightest to work for. This is the part everyone skips. Everyone is like “We need a better recruiting team.” When you just need to be worthy of the kind of talent you would like to have. Talent eventually takes care of itself. There are not that many good companies to work for. There are not many companies that deserve the attention of people who are the most capable people, because those people have the option to start their own companies.”

.tobi lutke says most companies think about recruiting backwards: “My job is to make a company worthy for the best and brightest to work for. This is the part everyone skips. Everyone is like “We need a better recruiting team.” When you just need to be worthy of the kind of talent you would like to have. Talent eventually takes care of itself. There are not that many good companies to work for. There are not many companies that deserve the attention of people who are the most capable people, because those people have the option to start their own companies.”

David Senra

104,828 views • 5 months ago

Nvidia CEO Jensen Huang says 80% of AI-native companies receiving recent venture funding use open models.

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Wall St Engine

33,246 views • 1 month ago

Nvidia $NVDA CEO Jensen Huang talking about a new partnership with $DELL that will allow companies and governments to deploy their own AI “factories” - Bloomberg

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Evan

375,841 views • 2 years ago

Nvidia CEO Jensen Huang: There’s a belief that somehow if we provided American chips to foreign countries — and specifically China — that the Chinese military would be building their military, building airplanes and aircraft carriers using American chips. First of all, they have plenty of their own chips, and their companies are formidable. The idea that China does not have a technology industry — we now know — is lunacy. Source: TIME

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Clash Report

62,118 views • 10 months ago

Mistral researcher Sagar Vaze argues some of the most serious recent AI cyberattacks came from closed models, not open-source ones: "If you look at the most significant malicious attacks that have happened recently, these have actually been perpetrated not by open weights models, but by closed weights models which have either been jailbroken or, in some cases, during training, escaped their sandbox. In practice, that’s how many of the attacks have been perpetrated." "Defenders trying to shore up their own defenses are having their requests refused by these same providers, because cutting-edge defensive requests look quite similar to offensive ones." "People trying to defend from malicious attacks, often from closed weights models, find they have no recourse but to use an open weights model." "It's critical that there are open weights models of sufficient strength that people can scalably defend their infrastructure." Mistral AI

Mistral researcher Sagar Vaze argues some of the most serious recent AI cyberattacks came from closed models, not open-source ones: "If you look at the most significant malicious attacks that have happened recently, these have actually been perpetrated not by open weights models, but by closed weights models which have either been jailbroken or, in some cases, during training, escaped their sandbox. In practice, that’s how many of the attacks have been perpetrated." "Defenders trying to shore up their own defenses are having their requests refused by these same providers, because cutting-edge defensive requests look quite similar to offensive ones." "People trying to defend from malicious attacks, often from closed weights models, find they have no recourse but to use an open weights model." "It's critical that there are open weights models of sufficient strength that people can scalably defend their infrastructure." Mistral AI

MTS

14,616 views • 12 days ago

🦾 EXCLUSIVE: @Nvidia CEO Jensen Huang defends Chinese AI companies and open AI models like Kimi in a new Behind the Curtain with Axios co-founder Mike Allen. “These Chinese models are excellent. Open source models that are excellent should be used."

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Axios

80,692 views • 3 months ago

Earlier this week at GTC, we announced our partnership with Nvidia. We will work with Nvidia to build strong, American open-source models that are at the frontier of scientific reasoning. These models will be essential for the US to compete with China on science in the coming decades. Jensen is committing to spend tens of billions of dollars developing open-source models, and we are excited to be a partner with them in figuring out how to benchmark, train and use those agents to accelerate scientific research. We have already open-sourced some of the work we have done with them, and are looking forward to open-sourcing more. There are few things today that are more important. See our blog post below, and watch the video to learn more, narrated by the man himself.

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Sam Rodriques

24,493 views • 7 months ago

The companies saying they've built their own models are bullshitting you. “Most of the people who are training their own model, almost every single time, it is a Chinese model that they have trained or added their own fine-tuning specialization on top of. Then they call it their own model. That is bullshit. You have added to it and tweaked it. You have not trained it from scratch.” Mike Cannon-Brookes 👨🏼‍💻🧢🇦🇺 Love to hear your thoughts Luca Soldaini 🎀 Stella Biderman Charles Goddard Teknium 🪽

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Harry Stebbings

14,742 views • 28 days ago

Open models are accelerating development and deployment across agentic AI, physical AI, and a growing range of industries. ✨ “We have billions of dollars of supercomputers in operation, so we can develop our open models,” said NVIDIA CEO Jensen Huang in a recent keynote. “That work is starting to attract attention across industries worldwide, as we build frontier AI models in many different domains.” This includes leading open models from NVIDIA, including: ⚙️ NVIDIA Nemotron for agentic AI ⚙️ NVIDIA Cosmos and GR00T for physical AI ⚙️ NVIDIA Alpamayo for autonomous vehicles ⚙️ NVIDIA Clara for biomedical AI Learn more about open source and AI ➡️

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NVIDIA AI

19,296 views • 9 months ago

As AI models become more complex and more capable, is it possible that they’ll have experiences of their own? It’s an open question. We recently started a research program to investigate it.

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Anthropic

282,086 views • 1 year ago

Qualcomm CEO reveals AI companies want phones running 100-billion-parameter models continuously by 2028--and confirms some are building phones Cristiano Amon: “I have to be careful not to disclose names, but some AI companies—some of the companies at the forefront of AI—are telling Qualcomm, ‘By 2028, I need to make sure that I have the ability to run at least a 100-billion-parameter model in a phone, and I need to have this thing running kind of all the time.’” Alex Heath: “So you’re saying there are AI companies that are talking about—” Cristiano Amon: “Well, AI companies are starting to do phones.”

Qualcomm CEO reveals AI companies want phones running 100-billion-parameter models continuously by 2028--and confirms some are building phones Cristiano Amon: “I have to be careful not to disclose names, but some AI companies—some of the companies at the forefront of AI—are telling Qualcomm, ‘By 2028, I need to make sure that I have the ability to run at least a 100-billion-parameter model in a phone, and I need to have this thing running kind of all the time.’” Alex Heath: “So you’re saying there are AI companies that are talking about—” Cristiano Amon: “Well, AI companies are starting to do phones.”

Fireside Alpha

794,957 views • 1 month ago

ELON: WE DIDN’T BUILD A WALLED GARDEN... WE INVITED COMPETITORS IN "Nothing any of my companies have done has been to stifle competition. At Tesla, we have open-sourced our patents. Anyone can use our patents for free. How many companies have done that? I can't name one." Source: The New York Times DealBook Summit, November 29, 2023

ELON: WE DIDN’T BUILD A WALLED GARDEN... WE INVITED COMPETITORS IN "Nothing any of my companies have done has been to stifle competition. At Tesla, we have open-sourced our patents. Anyone can use our patents for free. How many companies have done that? I can't name one." Source: The New York Times DealBook Summit, November 29, 2023

Mario Nawfal

2,048,247 views • 1 year ago

Why the companies of the future will have specialized models trained on their own data “You are creating value for the model company versus capturing that value for yourself. We need to have more of that surplus that gets created by the use of intelligence remain at the firm. Every firm will have a private eval benchmark, which is their core IP, and every model comes in and tries to hill climb on that eval.” Satya Nadella Love to hear your thoughts Harrison Chase Shreya Shankar Jerry Liu Anjney Midha

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Harry Stebbings

12,629 views • 14 days ago

The companies that build these data centers are some of the wealthiest enterprises on the face of the Earth. They are wealthy enough to bring their own power

The companies that build these data centers are some of the wealthiest enterprises on the face of the Earth. They are wealthy enough to bring their own power

Josh Hawley

39,087 views • 5 months ago