正在加载视频...

视频加载失败

返回首页

AWS made history by turning $20M data centers into a metered drip you never stopped paying for. The challenge was no one really knew what they were paying for at first (by design). In reaction, cloud computing became a monthly expense with a whole new set of tools designed...

AlexH_Johnson's profile picture

Alex Johnson

26,988 subscribers

22,627 次观看 • 10 个月前 •via X (Twitter)

科学技术教育财经
LIVE

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Mark Cuban says AI will split every company into 2 categories within 3 years "When it's all said and done over the next 3 years, there's going to be two types of companies. Those who are great at AI and those who went out of business" "The biggest challenge for a company is going to be for the CEO to make that decision that we're going to have to blow up a lot of what we do to recreate our company" "We hear a lot of stories about huge public companies that spend a lot of money to try to implement AI and it doesn't really get them a return on investment." "Because you already are running your business the way you've always run it." "The things you've considered outsourcing, your customer call centers, AI agents are perfect for. The stuff you would give to an intern, AI agents are perfect for" "But to really take advantage of AI you have to reformulate your business completely to build it on AI"
5:18

Mark Cuban says AI will split every company into 2 categories within 3 years "When it's all said and done over the next 3 years, there's going to be two types of companies. Those who are great at AI and those who went out of business" "The biggest challenge for a company is going to be for the CEO to make that decision that we're going to have to blow up a lot of what we do to recreate our company" "We hear a lot of stories about huge public companies that spend a lot of money to try to implement AI and it doesn't really get them a return on investment." "Because you already are running your business the way you've always run it." "The things you've considered outsourcing, your customer call centers, AI agents are perfect for. The stuff you would give to an intern, AI agents are perfect for" "But to really take advantage of AI you have to reformulate your business completely to build it on AI"

Jaynit

196,612 次观看 • 2 个月前

A few years ago, running AI infrastructure required a warehouse. Today, one guy does it from his backyard. He installed an Nvidia AI supercomputer next to his home and connected it to power and fiber internet. From the outside, it looks like ordinary utility equipment. Inside, GPUs process AI workloads around the clock. Instead of building AI products himself, he leases computing capacity to companies that need extra horsepower. Every month, they pay for access. According to him, the system generates roughly $10,000 in recurring monthly revenue. No employees. No inventory. No customers knocking on the door. Just computing power. What used to be available only to major tech companies is slowly becoming accessible to individuals. And some homeowners are already turning that shift into a business. Save this post. The infrastructure behind AI is changing faster than most people realize.
0:23

A few years ago, running AI infrastructure required a warehouse. Today, one guy does it from his backyard. He installed an Nvidia AI supercomputer next to his home and connected it to power and fiber internet. From the outside, it looks like ordinary utility equipment. Inside, GPUs process AI workloads around the clock. Instead of building AI products himself, he leases computing capacity to companies that need extra horsepower. Every month, they pay for access. According to him, the system generates roughly $10,000 in recurring monthly revenue. No employees. No inventory. No customers knocking on the door. Just computing power. What used to be available only to major tech companies is slowly becoming accessible to individuals. And some homeowners are already turning that shift into a business. Save this post. The infrastructure behind AI is changing faster than most people realize.

Shelpid.WI3M

153,348 次观看 • 1 个月前

🚨 Elon Musk on xAI and Grok: "I came to realize that really there's two choices here, either be a spectator or or a participant. And if I'm a spectator, I can't really influence the direction of AI, but if I'm a participant, I can try to influence the direction of AI and have a maximally true seeking AI with with good values, that loves humanity, and that's what we're trying to create with Grok. Grok was the only one that weighted human life equally. You want a curious truth seeking AI. And I think a curious truth seeking AI will want to foster humanity. As long as there's at least one AI that is maximally truth seeking, it will cause embarrassment for the other AIs, and then they improve. They tend to improve just in the same way that acquiring Twitter and allowing the truth to be told and not suppressing the truth forced the other social media companies to be more truthful in the same way, having Grok be a maximally truth seeking, curious AI will force the other AI companies to be more truth seeking and fair."
4:39

🚨 Elon Musk on xAI and Grok: "I came to realize that really there's two choices here, either be a spectator or or a participant. And if I'm a spectator, I can't really influence the direction of AI, but if I'm a participant, I can try to influence the direction of AI and have a maximally true seeking AI with with good values, that loves humanity, and that's what we're trying to create with Grok. Grok was the only one that weighted human life equally. You want a curious truth seeking AI. And I think a curious truth seeking AI will want to foster humanity. As long as there's at least one AI that is maximally truth seeking, it will cause embarrassment for the other AIs, and then they improve. They tend to improve just in the same way that acquiring Twitter and allowing the truth to be told and not suppressing the truth forced the other social media companies to be more truthful in the same way, having Grok be a maximally truth seeking, curious AI will force the other AI companies to be more truth seeking and fair."

DogeDesigner

216,533 次观看 • 8 个月前

David Sacks: “FDA for AI” is fake news, but here’s why it’s making headlines @jason: “ Who's leading Trump down the path of regulation and creating this AI FDA?” David Sacks: “I think there's several things going on here. The first one is, there's a lot of fake news. This whole idea of an FDA for AI, I don't think any senior official supports it. Certainly, I don't think that's the way the president thinks about these issues. He's the most pro-innovation president we've ever had. And the White House Chief of Staff, Susie Wiles, just put out a statement last night that I think pretty much shoots this down. Second, there's another thing going on, which is a straw manning of what the Trump administration did on AI in its first year. In the same way that they want to spin this FDA for AI, they're also trying to spin what we did as this completely laissez-faire attitude, where there'd be no regulations whatsoever, nor guardrails. It's a way of criticizing what we did. They're trying to portray it as unsafe. In fact, if you look, on March 20th, the White House released a national AI regulatory framework in which we put out a four-page bulleted list of legislation that we would support. So we have not been against every conceivable regulation or every conceivable law, we just believe that there should be specific solutions to specific problems, as opposed to a giant power grab by Washington that would squash innovation. Point number three is, there is a legitimate thing happening here with, let's call it Mythos or cyber. Within 3-6 months, all the major frontier labs, including Chinese models, will have cyber capabilities. In response to that, we do need there to be a hardening of systems, and we do need there to be a scanning of codebases to find these vulnerabilities and patch them before the hackers do it. Because the hackers will have these capabilities in a matter of months. That's a certainty. So we do need a response to that. Now, my view on what should that response be, first of all, we should want the government and the private sector to work cooperatively, and I think they are. What we should be doing, I think, is getting these tools, Mythos, and then the OpenAI model, and others like it, in the hands of our cybersecurity industry. And by the way, not just the public companies like Palo Alto Networks and CrowdStrike, although certainly they're two of the most noteworthy, but there's also some incredibly strong startups on the way up. We need to get these tools into their hands as quickly as possible because they're a force multiplier for all the companies out there that aren't that good at cybersecurity, they can use these companies as vendors. And just one last point on this whole thing is, both Anthropic and OpenAI acted responsibly here. No one was trying to release these super powerful models. So in a way, all the people who are saying that we need pre-release approvals for models, they're trying to solve a problem that didn't exist. Yes, we do have this cyber issue, but that is a problem that we will solve over the next six months. What they're trying to do is use that issue to try and create a permanent new infrastructure in Washington. The classic 'never let a crisis go to waste' strategy.”
2:47

David Sacks: “FDA for AI” is fake news, but here’s why it’s making headlines @jason: “ Who's leading Trump down the path of regulation and creating this AI FDA?” David Sacks: “I think there's several things going on here. The first one is, there's a lot of fake news. This whole idea of an FDA for AI, I don't think any senior official supports it. Certainly, I don't think that's the way the president thinks about these issues. He's the most pro-innovation president we've ever had. And the White House Chief of Staff, Susie Wiles, just put out a statement last night that I think pretty much shoots this down. Second, there's another thing going on, which is a straw manning of what the Trump administration did on AI in its first year. In the same way that they want to spin this FDA for AI, they're also trying to spin what we did as this completely laissez-faire attitude, where there'd be no regulations whatsoever, nor guardrails. It's a way of criticizing what we did. They're trying to portray it as unsafe. In fact, if you look, on March 20th, the White House released a national AI regulatory framework in which we put out a four-page bulleted list of legislation that we would support. So we have not been against every conceivable regulation or every conceivable law, we just believe that there should be specific solutions to specific problems, as opposed to a giant power grab by Washington that would squash innovation. Point number three is, there is a legitimate thing happening here with, let's call it Mythos or cyber. Within 3-6 months, all the major frontier labs, including Chinese models, will have cyber capabilities. In response to that, we do need there to be a hardening of systems, and we do need there to be a scanning of codebases to find these vulnerabilities and patch them before the hackers do it. Because the hackers will have these capabilities in a matter of months. That's a certainty. So we do need a response to that. Now, my view on what should that response be, first of all, we should want the government and the private sector to work cooperatively, and I think they are. What we should be doing, I think, is getting these tools, Mythos, and then the OpenAI model, and others like it, in the hands of our cybersecurity industry. And by the way, not just the public companies like Palo Alto Networks and CrowdStrike, although certainly they're two of the most noteworthy, but there's also some incredibly strong startups on the way up. We need to get these tools into their hands as quickly as possible because they're a force multiplier for all the companies out there that aren't that good at cybersecurity, they can use these companies as vendors. And just one last point on this whole thing is, both Anthropic and OpenAI acted responsibly here. No one was trying to release these super powerful models. So in a way, all the people who are saying that we need pre-release approvals for models, they're trying to solve a problem that didn't exist. Yes, we do have this cyber issue, but that is a problem that we will solve over the next six months. What they're trying to do is use that issue to try and create a permanent new infrastructure in Washington. The classic 'never let a crisis go to waste' strategy.”

The All-In Podcast

150,106 次观看 • 2 个月前

AI is transforming the way businesses operate 🤖. It’s no longer just a tool, it powers decision-making, efficiency, and growth. From automating tasks to predicting trends and uncovering insights, AI is becoming the backbone of modern business. But AI isn’t magic. It needs massive amounts of high-quality data 📊. Companies like Scale AI and other Web2 giants thrive because they control the pipelines of this data, turning it into a huge competitive advantage. The problem is most of this data is locked in centralized systems 🔒, expensive, and often inaccessible for smaller companies or innovators. That’s where OORT | The Data Cloud for Decentralized AI comes in 🌐✨. By building decentralized storage and AI infrastructure, OORTECH makes data open, secure, and accessible to everyone. It’s a foundation for the next generation of AI-powered businesses, giving all innovators the chance to compete and create 🚀
0:49

AI is transforming the way businesses operate 🤖. It’s no longer just a tool, it powers decision-making, efficiency, and growth. From automating tasks to predicting trends and uncovering insights, AI is becoming the backbone of modern business. But AI isn’t magic. It needs massive amounts of high-quality data 📊. Companies like Scale AI and other Web2 giants thrive because they control the pipelines of this data, turning it into a huge competitive advantage. The problem is most of this data is locked in centralized systems 🔒, expensive, and often inaccessible for smaller companies or innovators. That’s where OORT | The Data Cloud for Decentralized AI comes in 🌐✨. By building decentralized storage and AI infrastructure, OORTECH makes data open, secure, and accessible to everyone. It’s a foundation for the next generation of AI-powered businesses, giving all innovators the chance to compete and create 🚀

Sky Wee

67,555 次观看 • 10 个月前

We’re bringing BIG updates to our AI Data Cloud, with something for everyone -- and there's a lot. For the TLDR version, here is your quick rundown on what you need to know and you can dive into all we've introduced at #SnowflakeSummit right over here 👉
2:55

We’re bringing BIG updates to our AI Data Cloud, with something for everyone -- and there's a lot. For the TLDR version, here is your quick rundown on what you need to know and you can dive into all we've introduced at #SnowflakeSummit right over here 👉

Snowflake

1,829,316 次观看 • 1 年前

There's a very small YouTube channel that uses stock footage and narration, where the voice seems to be AI trained on my voice. I was told about it from one of my viewers that said when he started watching this channel he realized it was my voice, but with AI. It for sure doesn't sound perfect, and it still has that "AI" sound to it, but this stuff is going to get a lot more convincing really soon. There's not really any tools to deal with this currently, as there's no reporting system, and it's not an exact copy because the narration is different. But I feel like this may become a much bigger problem for YouTube in the future. They are going to have to adapt their copyright system to include AI voice and video copies of people under impersonation.
0:37

There's a very small YouTube channel that uses stock footage and narration, where the voice seems to be AI trained on my voice. I was told about it from one of my viewers that said when he started watching this channel he realized it was my voice, but with AI. It for sure doesn't sound perfect, and it still has that "AI" sound to it, but this stuff is going to get a lot more convincing really soon. There's not really any tools to deal with this currently, as there's no reporting system, and it's not an exact copy because the narration is different. But I feel like this may become a much bigger problem for YouTube in the future. They are going to have to adapt their copyright system to include AI voice and video copies of people under impersonation.

Joseph Carlson

46,024 次观看 • 1 年前

🇺🇸 NVIDIA CEO JENSEN HUANG: WE HAD TO INVENT THE COMPUTER BEFORE THE PROBLEM EXISTED Jensen reflected on Nvidia’s early days, revealing how the company’s mission in 1993 seemed almost impossible, building a computer for problems that didn’t yet exist. He said they had to “create the problem” before they could solve it, a gamble that shaped modern computing: “When Nvidia started in 1993, we were trying to create this new computing approach. The question is, what’s the killer app? The company wanted to create a new type of computer that could solve problems normal computers couldn’t. But the applications that existed in 1993 were ones that normal computers could solve. We had a mission statement for a company that had no chance of success. I didn’t know that in 1993. It just sounded like a good idea.” Source: Joe Rogan
3:30

🇺🇸 NVIDIA CEO JENSEN HUANG: WE HAD TO INVENT THE COMPUTER BEFORE THE PROBLEM EXISTED Jensen reflected on Nvidia’s early days, revealing how the company’s mission in 1993 seemed almost impossible, building a computer for problems that didn’t yet exist. He said they had to “create the problem” before they could solve it, a gamble that shaped modern computing: “When Nvidia started in 1993, we were trying to create this new computing approach. The question is, what’s the killer app? The company wanted to create a new type of computer that could solve problems normal computers couldn’t. But the applications that existed in 1993 were ones that normal computers could solve. We had a mission statement for a company that had no chance of success. I didn’t know that in 1993. It just sounded like a good idea.” Source: Joe Rogan

Mario Nawfal

19,268 次观看 • 7 个月前

Chip War Author Chris Miller says China's spending on chips and data centers doesn't reflect the same sense of urgency around AGI seen in the U.S. In response, John Coogan asks whether China is actually behind or simply operating on a much longer timeline. Chris: The puzzle is why isn't Xi Jinping more AGI-pilled? China has been underspending on AI for the last four years. I think it's because the Chinese government just doesn't really believe that AI is going to be nearly as important as we do. If they did believe it, they'd be buying H200 chips and spending more on data centers, and they're not doing it. John: Is it possible that China believes in AGI, but they just have longer timelines? China might not be necessarily behind the ball. They might just be optimizing for a 2035 AGI. Chris: I think one explanation is that the U.S. is a service-sector-heavy economy and is going to be more impactful in services first, manufacturing second. Second, U.S. firms could be more tech-forward. You see this in cloud computing. China has a tiny cloud computing market relative to GDP because its large enterprises just don't want to move to the cloud. Third, we should be open to the prospect that the Chinese government just hasn't gotten the memo yet. You know, for better or for worse, we have no deficit of VCs and tech entrepreneurs in government.
2:22

Chip War Author Chris Miller says China's spending on chips and data centers doesn't reflect the same sense of urgency around AGI seen in the U.S. In response, John Coogan asks whether China is actually behind or simply operating on a much longer timeline. Chris: The puzzle is why isn't Xi Jinping more AGI-pilled? China has been underspending on AI for the last four years. I think it's because the Chinese government just doesn't really believe that AI is going to be nearly as important as we do. If they did believe it, they'd be buying H200 chips and spending more on data centers, and they're not doing it. John: Is it possible that China believes in AGI, but they just have longer timelines? China might not be necessarily behind the ball. They might just be optimizing for a 2035 AGI. Chris: I think one explanation is that the U.S. is a service-sector-heavy economy and is going to be more impactful in services first, manufacturing second. Second, U.S. firms could be more tech-forward. You see this in cloud computing. China has a tiny cloud computing market relative to GDP because its large enterprises just don't want to move to the cloud. Third, we should be open to the prospect that the Chinese government just hasn't gotten the memo yet. You know, for better or for worse, we have no deficit of VCs and tech entrepreneurs in government.

TBPN

33,706 次观看 • 1 个月前

Tony Blair and Oracle co-founder Larry Ellison plan to use digital ID to "unify" all data on each country's citizens "so it can be consumed and used by" their AI models. "We have to take all of this data... and move it into a single... unified data platform." "When we want to ask a question, we've provided that AI model with all the data they need to understand our country." "We need to unify all of the national data, put it into a database where it's easily consumable by the AI model, and then ask whatever question you like."
1:06

Tony Blair and Oracle co-founder Larry Ellison plan to use digital ID to "unify" all data on each country's citizens "so it can be consumed and used by" their AI models. "We have to take all of this data... and move it into a single... unified data platform." "When we want to ask a question, we've provided that AI model with all the data they need to understand our country." "We need to unify all of the national data, put it into a database where it's easily consumable by the AI model, and then ask whatever question you like."

Wide Awake Media

54,084 次观看 • 8 个月前

Box CEO Aaron Levie: Why AI Is Being Adopted By Enterprises Faster Than Cloud "There's a lot of similarities to the early days of cloud and the early days of AI with one big difference: The early days of cloud we were having to go convince people that the cloud was going be a big deal. A lot of people didn't believe us. So that meant we just couldn't win deals in entire segments of customers. Conversely with AI, you're no longer really having to convince people that AI is the future." Box's Aaron Levie talking with Y Combinator's David Lieb
2:31

Box CEO Aaron Levie: Why AI Is Being Adopted By Enterprises Faster Than Cloud "There's a lot of similarities to the early days of cloud and the early days of AI with one big difference: The early days of cloud we were having to go convince people that the cloud was going be a big deal. A lot of people didn't believe us. So that meant we just couldn't win deals in entire segments of customers. Conversely with AI, you're no longer really having to convince people that AI is the future." Box's Aaron Levie talking with Y Combinator's David Lieb

Overlap: Business & Tech

11,399 次观看 • 10 个月前

Alex on why AI drug discovery companies need to generate novel data to succeed: "AI models based on the research that's available is a lot of garbage in and garbage out." "A lot of the recorded literature is actually incorrect. There's been tons of studies that show if you go try to replicate the experiments that are in the literature, you don't even get the same results." "The AI companies that I believe are gonna be most set up for success are the companies with a novel way to generate science tokens that don't exist in the public domain."
2:16

Alex on why AI drug discovery companies need to generate novel data to succeed: "AI models based on the research that's available is a lot of garbage in and garbage out." "A lot of the recorded literature is actually incorrect. There's been tons of studies that show if you go try to replicate the experiments that are in the literature, you don't even get the same results." "The AI companies that I believe are gonna be most set up for success are the companies with a novel way to generate science tokens that don't exist in the public domain."

Patrick OShaughnessy

126,540 次观看 • 3 个月前

Why free? John knew one thing: ➡️ Give them a taste, and they’ll pay to stay protected. By the early ‘90s, McAfee Antivirus was installed in 67% of the world’s largest companies—and they were paying him millions. At age 47, he became a multi-millionaire. But he was just getting started.
1:00

Why free? John knew one thing: ➡️ Give them a taste, and they’ll pay to stay protected. By the early ‘90s, McAfee Antivirus was installed in 67% of the world’s largest companies—and they were paying him millions. At age 47, he became a multi-millionaire. But he was just getting started.

Prasad

933,386 次观看 • 1 年前

AI INFRASTRUCTURE/ENERGY DEMAND STOCKS TO KEEP ON WATCH FOR 2026 Ex-CEO $GOOGL Eric Schmidt on energy demand driven by AI: "We need energy and the numbers are profound. What we need from you is energy in all forms. People are planning 10 gigawatt data centers" $IREN: owns and develops vertically integrated data centers for hyperscalers $CIFR: large power footprint, 3.4 GW pipeline for AI workloads + HPC $WULF: high capacity, low cost data center expansion across Texas and New York $NBIS: AI compute and cloud services translating energy into revenue $CLSK: America’s Bitcoin Miner transitioning to AI infrastructure with a massive power footprint across 30+ data center sites $BITF: owns and operates power sites positioned for AI workloads, yet to sign with a hyperscaler but could come this year $GLXY: multi-gigawatt data center infrastructure at scale
0:47

AI INFRASTRUCTURE/ENERGY DEMAND STOCKS TO KEEP ON WATCH FOR 2026 Ex-CEO $GOOGL Eric Schmidt on energy demand driven by AI: "We need energy and the numbers are profound. What we need from you is energy in all forms. People are planning 10 gigawatt data centers" $IREN: owns and develops vertically integrated data centers for hyperscalers $CIFR: large power footprint, 3.4 GW pipeline for AI workloads + HPC $WULF: high capacity, low cost data center expansion across Texas and New York $NBIS: AI compute and cloud services translating energy into revenue $CLSK: America’s Bitcoin Miner transitioning to AI infrastructure with a massive power footprint across 30+ data center sites $BITF: owns and operates power sites positioned for AI workloads, yet to sign with a hyperscaler but could come this year $GLXY: multi-gigawatt data center infrastructure at scale

Small Cap Snipa

116,034 次观看 • 6 个月前

🚨🇨🇳 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
0:21

🚨🇨🇳 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 ⛩

11,721 次观看 • 17 天前

I made this video back in January based on the research I was doing last year to tell everyone that all Nuclear Powered AI Data Centers would be coming, and that they would all roll into a "Queen Bee" along with Global Satellite Connections, a Global "Cloud" of interconnected Cloud Servers, AI, Cryptocurrency, and more. The "Queen Bee" is shaping up to just be Palantir. I believe that once all of these systems are integrated and operating as desired, that will be the "Third Temple".
5:33

I made this video back in January based on the research I was doing last year to tell everyone that all Nuclear Powered AI Data Centers would be coming, and that they would all roll into a "Queen Bee" along with Global Satellite Connections, a Global "Cloud" of interconnected Cloud Servers, AI, Cryptocurrency, and more. The "Queen Bee" is shaping up to just be Palantir. I believe that once all of these systems are integrated and operating as desired, that will be the "Third Temple".

7SEES

43,615 次观看 • 1 年前

Ken Griffin, founder of Citadel, explains how a 25-year-old used AI tools to turn a pet insurance business into a billion-dollar sale: Griffin tells the story of a friend who owned a pet insurance business and handed the keys over to his 25-year-old son to run. The son realised the tools now available to him changed what was possible for a small operator: "I can use social media. I can find when somebody posts a photo of a puppy on Facebook. I can determine the breed of dog through an AI image generation scanning mechanism. I can deliver a custom message to that consumer. If it's a woman, male, age, demographic, yes. Congratulations on your new golden retriever. You will love your dog for the rest of its life and it will love you. Be there for it when it needs you. Buy spot pet insurance." The result? "They sold the business a few weeks ago for a billion dollars." For Griffin, that story is a preview of where competition is heading. The advantages that used to protect big companies are now being handed to anyone with the right tools: "Competitive moats that large companies have depended upon are going to be filled in with AI tools. So the ability for small companies to take on incumbents will be higher than ever. This is a bit of a fantasy land for entrepreneurs." He traces the shift back to an earlier turning point: "Cloud computing was the first part of this narrative." Griffin uses his own industry to drive it home. Compute power used to be a fortress only the largest players could afford to build: "If you go back 10 years ago, for example, in finance, a startup could take us on in terms of having access to compute. We used to have data centers full of nine figures of hardware. We now use data centers full of billions of dollars of hardware, but a startup can lease the same hardware footprint if it wanted to." And the pattern, he says, only accelerates: "These moats to competition continually get eroded. It's a really incredible time to be an entrepreneur."
1:27

Ken Griffin, founder of Citadel, explains how a 25-year-old used AI tools to turn a pet insurance business into a billion-dollar sale: Griffin tells the story of a friend who owned a pet insurance business and handed the keys over to his 25-year-old son to run. The son realised the tools now available to him changed what was possible for a small operator: "I can use social media. I can find when somebody posts a photo of a puppy on Facebook. I can determine the breed of dog through an AI image generation scanning mechanism. I can deliver a custom message to that consumer. If it's a woman, male, age, demographic, yes. Congratulations on your new golden retriever. You will love your dog for the rest of its life and it will love you. Be there for it when it needs you. Buy spot pet insurance." The result? "They sold the business a few weeks ago for a billion dollars." For Griffin, that story is a preview of where competition is heading. The advantages that used to protect big companies are now being handed to anyone with the right tools: "Competitive moats that large companies have depended upon are going to be filled in with AI tools. So the ability for small companies to take on incumbents will be higher than ever. This is a bit of a fantasy land for entrepreneurs." He traces the shift back to an earlier turning point: "Cloud computing was the first part of this narrative." Griffin uses his own industry to drive it home. Compute power used to be a fortress only the largest players could afford to build: "If you go back 10 years ago, for example, in finance, a startup could take us on in terms of having access to compute. We used to have data centers full of nine figures of hardware. We now use data centers full of billions of dollars of hardware, but a startup can lease the same hardware footprint if it wanted to." And the pattern, he says, only accelerates: "These moats to competition continually get eroded. It's a really incredible time to be an entrepreneur."

Big Brain AI

12,488 次观看 • 1 个月前

Hochul on Data Centers: You have these big companies come in. One company at 50 megawatts—that’s the equivalent of powering 50,000 homes, just one company. So I had to step back and say we need to pause here. We are the first in the nation to have a statewide moratorium on the issuance of permits to allow these projects to go forward. What this is going to do is allow us to have a list for local communities. If you want them to come to your community, that is a community’s choice. But here’s a whole list of things you should be asking for. I’m also demanding that if you come here, you have to provide your own power or pay a premium into our grid. You’re not going to make ratepayers pay more. You’re also going to contribute to a larger grid resiliency fund that I’m setting up with those proceeds because I need to reinforce and expand our entire grid. Also, you should not be getting tax breaks. New Yorkers pay enough. They don’t think their hard-earned taxpayer dollars should be given to you so that you can avoid paying taxes yourself while the rest of us are paying our full freight. If someone comes to New York, we want you to be successful, but others have to be successful as well. You’re not going to build your future while jeopardizing and sacrificing the future of others in a community—especially these smaller communities, where they seem to be preying on the locals and just forcing their way in the door.
2:29

Hochul on Data Centers: You have these big companies come in. One company at 50 megawatts—that’s the equivalent of powering 50,000 homes, just one company. So I had to step back and say we need to pause here. We are the first in the nation to have a statewide moratorium on the issuance of permits to allow these projects to go forward. What this is going to do is allow us to have a list for local communities. If you want them to come to your community, that is a community’s choice. But here’s a whole list of things you should be asking for. I’m also demanding that if you come here, you have to provide your own power or pay a premium into our grid. You’re not going to make ratepayers pay more. You’re also going to contribute to a larger grid resiliency fund that I’m setting up with those proceeds because I need to reinforce and expand our entire grid. Also, you should not be getting tax breaks. New Yorkers pay enough. They don’t think their hard-earned taxpayer dollars should be given to you so that you can avoid paying taxes yourself while the rest of us are paying our full freight. If someone comes to New York, we want you to be successful, but others have to be successful as well. You’re not going to build your future while jeopardizing and sacrificing the future of others in a community—especially these smaller communities, where they seem to be preying on the locals and just forcing their way in the door.

Acyn

68,765 次观看 • 4 天前