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The problems with AI are actually just problems with capitalism. The tech companies want you to believe it's not possible to run data centers on renewable energy and to cool them sustainably, but it is possible, and it's already happening in China. I went to the World AI Conference...

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Dante Muñoz

183,700 subscribers

638,500 просмотров • 3 месяцев назад •via TikTok

Наука и технологии#ai#waic#tiktoktechcontest
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Elon Musk explains how data centers in Space could help the US compete with China in AI “Given that Chinese AI companies are doing as well as they are with a relatively small amount of compute, it seems that if they had a lot of compute, there’s a good chance they would be the leaders. The constraints on AI are essentially electricity and AI chips. China is very strong in digital AI, and it has far more electricity than the United States. In fact, China already has more electricity than the United States, Europe and India combined. The US government can prevent US companies from using Chinese models, but it can’t stop the rest of the world from using them. That won’t stop China from becoming the leader in AI. Digital intelligence comes down to how much AI compute, how many chips and how much electricity you have. The current constraint is electricity outside China. In China, the constraint is chips. China is also closer than most people realize to solving the lithography problem, which would enable it to make AI chips in very large volumes. Once we address the power constraint with AI data centers in space, the constraint will once again be chips outside China.”
4:51

Elon Musk explains how data centers in Space could help the US compete with China in AI “Given that Chinese AI companies are doing as well as they are with a relatively small amount of compute, it seems that if they had a lot of compute, there’s a good chance they would be the leaders. The constraints on AI are essentially electricity and AI chips. China is very strong in digital AI, and it has far more electricity than the United States. In fact, China already has more electricity than the United States, Europe and India combined. The US government can prevent US companies from using Chinese models, but it can’t stop the rest of the world from using them. That won’t stop China from becoming the leader in AI. Digital intelligence comes down to how much AI compute, how many chips and how much electricity you have. The current constraint is electricity outside China. In China, the constraint is chips. China is also closer than most people realize to solving the lithography problem, which would enable it to make AI chips in very large volumes. Once we address the power constraint with AI data centers in space, the constraint will once again be chips outside China.”

DogeDesigner

251,096 просмотров • 3 месяцев назад

“This idea that if we regulate AI, that China will win, is not true. And the way that we know that is because China regulates AI. They have the most regulation of their AI than any country in the world. And they're moving very, very fast. They're almost at where we are or maybe going to beat us. And they have a ton of regulation.” “So the tech bros in the U.S. that say if we regulate AI, the Chinese going to win - that’s a self-serving argument. That isn't true. But at the same time, we have to understand that Chinese regulation of AI is meant to protect the Chinese Communist Party. When we talk about regulation of AI, we're talking about protecting our privacy, our citizens, our data, our democracy. They don't care about that in China. They don't have that.”
0:45

“This idea that if we regulate AI, that China will win, is not true. And the way that we know that is because China regulates AI. They have the most regulation of their AI than any country in the world. And they're moving very, very fast. They're almost at where we are or maybe going to beat us. And they have a ton of regulation.” “So the tech bros in the U.S. that say if we regulate AI, the Chinese going to win - that’s a self-serving argument. That isn't true. But at the same time, we have to understand that Chinese regulation of AI is meant to protect the Chinese Communist Party. When we talk about regulation of AI, we're talking about protecting our privacy, our citizens, our data, our democracy. They don't care about that in China. They don't have that.”

Josh Rogin

55,324 просмотров • 1 месяц назад

Just watched Kai-Fu Lee 's interview on the US-China AI landscape. A few takeaways felt especially useful✌️: 1. The US is currently about 15 months ahead of China in frontier AI models. 2. Top US AI companies are like “geniuses trying to win the Nobel Prize,” while Chinese AI companies are more like “a group of smart kids forming a study group.” They still compete, but open source creates more shared learning. 3. China’s AI companies face a real monetization challenge in enterprise software. Many Chinese companies are less used to annual subscriptions or usage-based pricing, and still tend to think of software as project-based work. 4. For the same product, Western, Middle Eastern, and Central Asian companies may be willing to pay around 8x more than Chinese companies. That helps explain why many Chinese AI companies are expanding overseas. 5. China may produce many breakthrough AI consumer apps, because Chinese companies are especially strong at consumer apps, hardware, robotics, embodied AI, and AI-first devices. 6. The US may continue to lead in frontier models, while China may move faster in turning AI into products people actually use. 7. His advice for young people in the age of AI: you don’t necessarily need to become an engineer first. What matters more is accountability, taste, conviction, courage, and foresight. More👇
17:56

Just watched Kai-Fu Lee 's interview on the US-China AI landscape. A few takeaways felt especially useful✌️: 1. The US is currently about 15 months ahead of China in frontier AI models. 2. Top US AI companies are like “geniuses trying to win the Nobel Prize,” while Chinese AI companies are more like “a group of smart kids forming a study group.” They still compete, but open source creates more shared learning. 3. China’s AI companies face a real monetization challenge in enterprise software. Many Chinese companies are less used to annual subscriptions or usage-based pricing, and still tend to think of software as project-based work. 4. For the same product, Western, Middle Eastern, and Central Asian companies may be willing to pay around 8x more than Chinese companies. That helps explain why many Chinese AI companies are expanding overseas. 5. China may produce many breakthrough AI consumer apps, because Chinese companies are especially strong at consumer apps, hardware, robotics, embodied AI, and AI-first devices. 6. The US may continue to lead in frontier models, while China may move faster in turning AI into products people actually use. 7. His advice for young people in the age of AI: you don’t necessarily need to become an engineer first. What matters more is accountability, taste, conviction, courage, and foresight. More👇

Mia Bao

44,564 просмотров • 4 месяцев назад

“I think next decade is going to be all about energy. Even Sam Altman from OpenAI talked about the evolution of AI — algorithms run on chips, but ultimately the chips need electricity. The algorithms will get better and better, and chips will get cheaper and cheaper. But at the end of the day, you have to get the electrons, and those electrons have a fundamental price. Even the AI competition between companies and countries is ultimately going to come back to electricity production. So next decade is going to be all about power — AI, manufacturing, the economy — they all come back to energy.” Scott Nolan
9:12

“I think next decade is going to be all about energy. Even Sam Altman from OpenAI talked about the evolution of AI — algorithms run on chips, but ultimately the chips need electricity. The algorithms will get better and better, and chips will get cheaper and cheaper. But at the end of the day, you have to get the electrons, and those electrons have a fundamental price. Even the AI competition between companies and countries is ultimately going to come back to electricity production. So next decade is going to be all about power — AI, manufacturing, the economy — they all come back to energy.” Scott Nolan

Shawn Ryan

118,797 просмотров • 1 год назад

NOW: President Trump has arrived at the EPA to announce a new AI energy initiative, making sure data centers are the ones footing the bill for their energy usage — NOT American families They'll actually be producing MORE energy than they use, driving down rates for families. "The American Innovators and consumers strive to win together because we're insisting that AI data centers and big tech companies pay THEIR OWN WAY." "They're going to have a lot of electricity left over, and they'll put that into the grid so it'll actually end up with more electricity. The rates are going to go DOWN."
2:18

NOW: President Trump has arrived at the EPA to announce a new AI energy initiative, making sure data centers are the ones footing the bill for their energy usage — NOT American families They'll actually be producing MORE energy than they use, driving down rates for families. "The American Innovators and consumers strive to win together because we're insisting that AI data centers and big tech companies pay THEIR OWN WAY." "They're going to have a lot of electricity left over, and they'll put that into the grid so it'll actually end up with more electricity. The rates are going to go DOWN."

Nick Sortor

58,971 просмотров • 3 месяцев назад

🚨🇨🇳 China could crash the U.S. stock market Not with tariffs With AI MODEL DUMPING The same playbook they used in SOLAR and EVs Make it almost as good Sell it much cheaper Take the market Now they are doing it with AI Open models are getting close to U.S. frontier models But some run at just a fraction of the cost If a company can cut a $100M AI bill to a few million It will switch And that is the real problem OpenAI and Anthropic are not priced like normal companies They are priced like they have unlimited PRICING POWER China is trying to destroy that The AI BUBBLE was never about whether AI works It was about how much companies can charge for it
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🚨🇨🇳 China could crash the U.S. stock market Not with tariffs With AI MODEL DUMPING The same playbook they used in SOLAR and EVs Make it almost as good Sell it much cheaper Take the market Now they are doing it with AI Open models are getting close to U.S. frontier models But some run at just a fraction of the cost If a company can cut a $100M AI bill to a few million It will switch And that is the real problem OpenAI and Anthropic are not priced like normal companies They are priced like they have unlimited PRICING POWER China is trying to destroy that The AI BUBBLE was never about whether AI works It was about how much companies can charge for it

Leshka.eth ⛩

11,737 просмотров • 4 месяцев назад

🚨🚨🚨BREAKING: Nvidia CEO was just asked about his thoughts on Huawei and China > Huawei is one of the most formidable technology companies in the world. > they are incredible in computing, networking technology and software capabilities > they have all the essential capabilities to advance AI > China is right behind the US in AI > 50% of the world’s AI researchers are chinese The race is on.
1:20

🚨🚨🚨BREAKING: Nvidia CEO was just asked about his thoughts on Huawei and China > Huawei is one of the most formidable technology companies in the world. > they are incredible in computing, networking technology and software capabilities > they have all the essential capabilities to advance AI > China is right behind the US in AI > 50% of the world’s AI researchers are chinese The race is on.

NIK

585,743 просмотров • 1 год назад

We can regulate AI and also win the race with China. It’s a false choice. “The U.S. tech bros and the Trump people, they're basically in it for the money. The Chinese Communist Party is a genocidal dictatorship that's in it for their own power - and they mean us harm. That's worse. So we don't want that to happen.” “And if if they were to win, it basically means that all the other countries of the world are going to build their tech stacks on Chinese tech rather than American tech. That's a big threat. We don't want the Global South and Europe and Asia to be riddled with Chinese AI, because then China's going to be able to assert a great amount of power.” “At the same time, anyone who tells you that means we should just let American tech companies run wild with no regulation is trying to fool you into thinking that's actually the solution to the problem. There’s a middle ground - where we regulate AI and still win the race - that’s what we have to try to figure out.”
0:49

We can regulate AI and also win the race with China. It’s a false choice. “The U.S. tech bros and the Trump people, they're basically in it for the money. The Chinese Communist Party is a genocidal dictatorship that's in it for their own power - and they mean us harm. That's worse. So we don't want that to happen.” “And if if they were to win, it basically means that all the other countries of the world are going to build their tech stacks on Chinese tech rather than American tech. That's a big threat. We don't want the Global South and Europe and Asia to be riddled with Chinese AI, because then China's going to be able to assert a great amount of power.” “At the same time, anyone who tells you that means we should just let American tech companies run wild with no regulation is trying to fool you into thinking that's actually the solution to the problem. There’s a middle ground - where we regulate AI and still win the race - that’s what we have to try to figure out.”

Josh Rogin

32,314 просмотров • 1 месяц назад

NEW: VP Vance says he's skeptical of major AI companies turning to the government for regulation: "It feels a little bit to me like a bit of a Trojan horse." Vance acknowledges there are risks to the technology but says the administration wants to "regulate smartly" while making sure the U.S. stays ahead of China in the global AI race. "I feel a little bit weird about the fact that you have so many frontier AI tech companies kind of coming to the government and begging the government to regulate them." Fox News AI
0:50

NEW: VP Vance says he's skeptical of major AI companies turning to the government for regulation: "It feels a little bit to me like a bit of a Trojan horse." Vance acknowledges there are risks to the technology but says the administration wants to "regulate smartly" while making sure the U.S. stays ahead of China in the global AI race. "I feel a little bit weird about the fact that you have so many frontier AI tech companies kind of coming to the government and begging the government to regulate them." Fox News AI

Fox News

170,566 просмотров • 1 месяц назад

Tristan Harris, former Google design ethicist and co-founder of the Center for Humane Technology, has spent years warning about what happens when AI is controlled by a small number of companies. His warning about AI is simple: If AI replaces all of human work, who owns the value it creates? Right now, a handful of Big Tech companies are spending billions to build AI capable of doing more and more of the work humans do. If they succeed, they own the models. They own the automation. They capture the upside. Everyone else gets disrupted. At Action Model, we believe the people whose data, behavior and contributions help train AI should have a stake in the value it creates. That’s why we’re building a community-owned AI ecosystem where contributors can participate in the upside of the technology they help build. AI replacing more human work may be inevitable. A handful of companies owning the entire AI economy isn’t.
0:59

Tristan Harris, former Google design ethicist and co-founder of the Center for Humane Technology, has spent years warning about what happens when AI is controlled by a small number of companies. His warning about AI is simple: If AI replaces all of human work, who owns the value it creates? Right now, a handful of Big Tech companies are spending billions to build AI capable of doing more and more of the work humans do. If they succeed, they own the models. They own the automation. They capture the upside. Everyone else gets disrupted. At Action Model, we believe the people whose data, behavior and contributions help train AI should have a stake in the value it creates. That’s why we’re building a community-owned AI ecosystem where contributors can participate in the upside of the technology they help build. AI replacing more human work may be inevitable. A handful of companies owning the entire AI economy isn’t.

Action Model

19,814 просмотров • 1 месяц назад

IAPS Severin Field 🦅 says Chinese AI companies are far less AGI-pilled than OpenAI and Anthropic, treating AI as a normal technology rather than something that will out-think humanity: "I do think that Chinese AI companies, when you compare them to OpenAI and Anthropic, they are a lot less AGI-pilled." "They are more in the camp of seeing AI as a normal technology, whereas people at the top at Anthropic legitimately believe they're building something which will change the course of human history." "A lot of the Chinese companies, DeepSeek for example, will talk about things like recursive self-improvement, but their model of it is quite different, much closer to what you typically see academic machine learning people talk about." "You don't have this almost pseudo-religious component of legitimately believing you are going to build something that out-thinks humans and grapples with all those implications. That is largely confined to Anthropic, OpenAI, some at DeepMind, places like Thinking Machines, some corners of academia." Institute for AI Policy and Strategy (IAPS)
1:08

IAPS Severin Field 🦅 says Chinese AI companies are far less AGI-pilled than OpenAI and Anthropic, treating AI as a normal technology rather than something that will out-think humanity: "I do think that Chinese AI companies, when you compare them to OpenAI and Anthropic, they are a lot less AGI-pilled." "They are more in the camp of seeing AI as a normal technology, whereas people at the top at Anthropic legitimately believe they're building something which will change the course of human history." "A lot of the Chinese companies, DeepSeek for example, will talk about things like recursive self-improvement, but their model of it is quite different, much closer to what you typically see academic machine learning people talk about." "You don't have this almost pseudo-religious component of legitimately believing you are going to build something that out-thinks humans and grapples with all those implications. That is largely confined to Anthropic, OpenAI, some at DeepMind, places like Thinking Machines, some corners of academia." Institute for AI Policy and Strategy (IAPS)

MTS

21,892 просмотров • 2 месяцев назад

This week, we have had a lot of discussions around artificial intelligence, inspired by the Global AI Summit in Kigali, Rwanda. Many African countries are doing great things to motivate young people to take advantage of AI because it represents the future in problem solving. Unfortunately, Zimbabwe’s ICT Minister Tatenda Mavetera and her permanent secretary did not attend, showing how these things are not taken seriously by our government. Zimbabwe’s richest man, Strive Masiyiwa, who has not been to Zimbabwe for decades, made it clear at the summit, which he co-chaired, that investment will not go where the environment is not conducive. Our government talks about anything topical without delivering anything meaningful—they are doing the same with AI. The majority of schools have no computers. Zimbabweans receive electricity for only four hours a day. As the Under-Secretary-General and Executive Secretary of the United Nations Economic Commission for Africa, Claver Gatete, explains, a country needs electricity for AI data centres to work. Yet only 600 million out of 1.5 billion people in Africa have access to electricity, not even energy. Yet energy is an integral part of AI development. Energy is an essential component for the successful development and implementation of AI in a country because AI systems require massive amounts of data to function effectively. This data must be stored and processed in data centres and servers, which depend on electricity to power both the hardware and the cooling systems. You cannot achieve this in a country that delivers only four hours of electricity a day to its citizens like Zimbabwe. AI applications require continuous and uninterrupted access to data and computing resources to deliver accurate and timely results. Electricity is also crucial for powering research institutions, universities, and Research and Development centres that drive AI advancement. Without reliable access to electricity, these institutions will struggle to conduct research, develop new algorithms, or train AI models. The tragedy of Zimbabwe is that the Vice-President of Google responsible for AI, Dr James Manyika, is Zimbabwean; one of the key presenters at the summit, Prof Arthur Mutambara, who has just released a book on AI, is Zimbabwean; Strive Masiyiwa, who has partnered with Nvidia to bring supercomputer technology to the continent by building Africa’s first artificial intelligence factory in South Africa with data centres in Kenya and Egypt, is Zimbabwean. Yet, none of them are working in or with Zimbabwe. Our political leaders have let us down on all these fronts, yet they keep yapping about AI when there is nothing on the ground! Instead of slogans and dancing at rallies, they should see how other countries are doing it. A country that doesn’t focus on technology for development will be a dusty village in 25 years, and its people will not be able to compete at all, rendering it just a dot on the global map. Too much political yada yada without anything delivered, and with people like Tatenda Mavetera, who forge qualifications, in the driving seat, Zimbabwe’s fortunes will continue to dwindle! Add to that the historic looting of public funds meant for building power plants to give us electricity, future generations will curse on our graves!
0:24

This week, we have had a lot of discussions around artificial intelligence, inspired by the Global AI Summit in Kigali, Rwanda. Many African countries are doing great things to motivate young people to take advantage of AI because it represents the future in problem solving. Unfortunately, Zimbabwe’s ICT Minister Tatenda Mavetera and her permanent secretary did not attend, showing how these things are not taken seriously by our government. Zimbabwe’s richest man, Strive Masiyiwa, who has not been to Zimbabwe for decades, made it clear at the summit, which he co-chaired, that investment will not go where the environment is not conducive. Our government talks about anything topical without delivering anything meaningful—they are doing the same with AI. The majority of schools have no computers. Zimbabweans receive electricity for only four hours a day. As the Under-Secretary-General and Executive Secretary of the United Nations Economic Commission for Africa, Claver Gatete, explains, a country needs electricity for AI data centres to work. Yet only 600 million out of 1.5 billion people in Africa have access to electricity, not even energy. Yet energy is an integral part of AI development. Energy is an essential component for the successful development and implementation of AI in a country because AI systems require massive amounts of data to function effectively. This data must be stored and processed in data centres and servers, which depend on electricity to power both the hardware and the cooling systems. You cannot achieve this in a country that delivers only four hours of electricity a day to its citizens like Zimbabwe. AI applications require continuous and uninterrupted access to data and computing resources to deliver accurate and timely results. Electricity is also crucial for powering research institutions, universities, and Research and Development centres that drive AI advancement. Without reliable access to electricity, these institutions will struggle to conduct research, develop new algorithms, or train AI models. The tragedy of Zimbabwe is that the Vice-President of Google responsible for AI, Dr James Manyika, is Zimbabwean; one of the key presenters at the summit, Prof Arthur Mutambara, who has just released a book on AI, is Zimbabwean; Strive Masiyiwa, who has partnered with Nvidia to bring supercomputer technology to the continent by building Africa’s first artificial intelligence factory in South Africa with data centres in Kenya and Egypt, is Zimbabwean. Yet, none of them are working in or with Zimbabwe. Our political leaders have let us down on all these fronts, yet they keep yapping about AI when there is nothing on the ground! Instead of slogans and dancing at rallies, they should see how other countries are doing it. A country that doesn’t focus on technology for development will be a dusty village in 25 years, and its people will not be able to compete at all, rendering it just a dot on the global map. Too much political yada yada without anything delivered, and with people like Tatenda Mavetera, who forge qualifications, in the driving seat, Zimbabwe’s fortunes will continue to dwindle! Add to that the historic looting of public funds meant for building power plants to give us electricity, future generations will curse on our graves!

Hopewell Chin’ono

33,687 просмотров • 1 год назад

FULL CLIP: Asmongold says AI doesn’t use a lot of water and says that it’s propaganda created by people who are scared of AI taking their jobs or careers 👀😳 “AI doesn’t use a lot of water and the water that it does use is in a closed system. The entire idea that AI is using infinite water and making all the water disappear just isn’t real. If you look at for example almonds in California they cost more water than AI by several magnitudes. It’s just propaganda. And the thing is AI is the new thing that people like to get afraid of and worried about because they’re worried about AI taking their jobs and careers and it’s understandable that people are worried about their jobs or careers but ultimately you can’t expect the entire world to just stop moving forward because you’re worried about your job”
1:28

FULL CLIP: Asmongold says AI doesn’t use a lot of water and says that it’s propaganda created by people who are scared of AI taking their jobs or careers 👀😳 “AI doesn’t use a lot of water and the water that it does use is in a closed system. The entire idea that AI is using infinite water and making all the water disappear just isn’t real. If you look at for example almonds in California they cost more water than AI by several magnitudes. It’s just propaganda. And the thing is AI is the new thing that people like to get afraid of and worried about because they’re worried about AI taking their jobs and careers and it’s understandable that people are worried about their jobs or careers but ultimately you can’t expect the entire world to just stop moving forward because you’re worried about your job”

Prism

43,729 просмотров • 2 месяцев назад

Around 400 AI workers and students just protested outside OpenAI, Anthropic, and Google. Not because they hate AI. Because they're worried about jobs, power, and who will benefit from the trillions of dollars AI is expected to create. Here's the reality. You can't stop the AI race. But you can change who benefits from it. That's why we're building Action Model. A community-owned AI model where the people helping train AI can earn a fractional share in the value they help create. We'd rather see that value distributed across millions of ordinary people than concentrated in the hands of a few Big Tech companies and billionaires.
0:25

Around 400 AI workers and students just protested outside OpenAI, Anthropic, and Google. Not because they hate AI. Because they're worried about jobs, power, and who will benefit from the trillions of dollars AI is expected to create. Here's the reality. You can't stop the AI race. But you can change who benefits from it. That's why we're building Action Model. A community-owned AI model where the people helping train AI can earn a fractional share in the value they help create. We'd rather see that value distributed across millions of ordinary people than concentrated in the hands of a few Big Tech companies and billionaires.

Action Model

20,043 просмотров • 4 месяцев назад

Peter Navarro: "We're looking very very carefully at this whole problem of AI data centers driving up the cost of electricity for Americans. You can expect strong action from President Trump on this. It's amazing in a bad way how much electricity is projected for the AI folks to use, and a significant amount of electricity these AI centers are using is serving ChatGPT users in places like India and China."
1:54

Peter Navarro: "We're looking very very carefully at this whole problem of AI data centers driving up the cost of electricity for Americans. You can expect strong action from President Trump on this. It's amazing in a bad way how much electricity is projected for the AI folks to use, and a significant amount of electricity these AI centers are using is serving ChatGPT users in places like India and China."

Aaron Rupar

74,675 просмотров • 10 месяцев назад

Palantir CTO Shyam Sankar says AI doomers are lying to the American public: "You have dual narratives— one that's wildly dystopic, that this tech is going to destroy jobs and purpose." "The other is wildly utopic— where it's going to usher in a new era where we'll be reduced to the equivalent of a house cat." "Both of these miss a fundamental point of human agency. The future of AI hasn't been determined. It is being decided every day by the actions we take." "Humans are going to use AI to do things. Will we use it to build trinkets of marginal value, or to actually reindustrialize the country?" "Net— you have job creation." "We're too enamored with AI as a concept as opposed to AI as a tool for the American worker." "Every single one of these frontier labs is in America... it was born here in America." "It matches the American culture. Look no further than Europe to see how their approach to AI has been essentially to regulate it to irrelevance." Via Fox News
3:04

Palantir CTO Shyam Sankar says AI doomers are lying to the American public: "You have dual narratives— one that's wildly dystopic, that this tech is going to destroy jobs and purpose." "The other is wildly utopic— where it's going to usher in a new era where we'll be reduced to the equivalent of a house cat." "Both of these miss a fundamental point of human agency. The future of AI hasn't been determined. It is being decided every day by the actions we take." "Humans are going to use AI to do things. Will we use it to build trinkets of marginal value, or to actually reindustrialize the country?" "Net— you have job creation." "We're too enamored with AI as a concept as opposed to AI as a tool for the American worker." "Every single one of these frontier labs is in America... it was born here in America." "It matches the American culture. Look no further than Europe to see how their approach to AI has been essentially to regulate it to irrelevance." Via Fox News

Jawwwn

55,511 просмотров • 9 месяцев назад

Vice President JD Vance says he is wary of leading AI companies asking the federal government to regulate the industry, calling it a potential “Trojan horse” as tech executives warn about the risks of rapidly advancing artificial intelligence. “I feel a little bit weird about the fact that you have so many frontier AI tech companies kind of coming to the government and begging the government to regulate them,” Vance says. He acknowledged there are “risks” and “downsides” to AI but said the U.S. must be careful about regulation as it competes with China.
1:38

Vice President JD Vance says he is wary of leading AI companies asking the federal government to regulate the industry, calling it a potential “Trojan horse” as tech executives warn about the risks of rapidly advancing artificial intelligence. “I feel a little bit weird about the fact that you have so many frontier AI tech companies kind of coming to the government and begging the government to regulate them,” Vance says. He acknowledged there are “risks” and “downsides” to AI but said the U.S. must be careful about regulation as it competes with China.

CBS News

144,253 просмотров • 1 месяц назад

Jensen Huang just said this is the greatest era in history to build software. AI agents will not kill software. They will do the exact opposite: create a massive new wave of software demand. at NVIDIA GTC Taipei 2026 "Click and type. We now replace that with explaining to the AI what we want, our intent, and the AI generates the code or uses tools to produce the necessary output. This is how computers are going to work in the future. This is Agentic AI. For two years, we've been building toward this, and now it has arrived. One of the big breakthroughs, of course, is tool use. A lot of people have said, “Jensen, AI is coming. Agentic AI is coming. Therefore, all the software companies are going to go out of business.” This is exactly the opposite. Because there are going to be so many agents, the world is no longer limited by the number of people. Therefore, those agents are going to use more tools than ever. This is actually an incredible time to be a software company. But the software has to be presented to the agent in a way that the agent can use it. This is a big breakthrough. And in fact, what we have done, as you know, what Nvidia’s treasure..." ---- From 'NVIDIA' YT channel (link in comment)
0:59

Jensen Huang just said this is the greatest era in history to build software. AI agents will not kill software. They will do the exact opposite: create a massive new wave of software demand. at NVIDIA GTC Taipei 2026 "Click and type. We now replace that with explaining to the AI what we want, our intent, and the AI generates the code or uses tools to produce the necessary output. This is how computers are going to work in the future. This is Agentic AI. For two years, we've been building toward this, and now it has arrived. One of the big breakthroughs, of course, is tool use. A lot of people have said, “Jensen, AI is coming. Agentic AI is coming. Therefore, all the software companies are going to go out of business.” This is exactly the opposite. Because there are going to be so many agents, the world is no longer limited by the number of people. Therefore, those agents are going to use more tools than ever. This is actually an incredible time to be a software company. But the software has to be presented to the agent in a way that the agent can use it. This is a big breakthrough. And in fact, what we have done, as you know, what Nvidia’s treasure..." ---- From 'NVIDIA' YT channel (link in comment)

Rohan Paul

16,584 просмотров • 5 месяцев назад

Bitcoin miner Riot sold 20,264 $BTC over 9 months to fund its AI data center expansion "The blue wave was very negative for Bitcoin mining companies in general. They were some of the few stocks that actually went down when everything went up." "That's because obviously they are AI data centers and under a Democrat government, it's more likely that AI data centers are going to have a lot of problems." "Riot, their stock actually went up and that's because they had this huge announcement with Anthropic for their facilities in Texas." "But another interesting part of this is that in 9 months they announced they sold 20,264 Bitcoin for approximately $1.5 billion so that they could build this out." "This is a continuation of a story we keep telling, which is that really Bitcoin miners are now just data centers, and they're going to go where there's more money."
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Bitcoin miner Riot sold 20,264 $BTC over 9 months to fund its AI data center expansion "The blue wave was very negative for Bitcoin mining companies in general. They were some of the few stocks that actually went down when everything went up." "That's because obviously they are AI data centers and under a Democrat government, it's more likely that AI data centers are going to have a lot of problems." "Riot, their stock actually went up and that's because they had this huge announcement with Anthropic for their facilities in Texas." "But another interesting part of this is that in 9 months they announced they sold 20,264 Bitcoin for approximately $1.5 billion so that they could build this out." "This is a continuation of a story we keep telling, which is that really Bitcoin miners are now just data centers, and they're going to go where there's more money."

The Wolf Of All Streets

23,467 просмотров • 6 дней назад