Загрузка видео...

Не удалось загрузить видео

На главную

Perplexity CEO told Joe Rogan that Microsoft created office work. The dates say otherwise. To be fair to him, half of it is true. Gates really did want a PC on every desk, and Microsoft did make Word and Excel the default tools that almost every office job trains...

alex_prompter's profile picture

Alex Prompter

279,043 subscribers

31,371 просмотров • 1 месяц назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Microsoft invented the knowledge worker to sell more office software. That's not a conspiracy theory. That's what happened. Bill Gates vision was simple: put a PC on every desk. Not to make computing beautiful (that was Steve Jobs). Just to sell more software. Word. Excel. Email. People went to tutorials to learn these tools. Then companies made them the price of admission for employment. The entire concept of an office career was a sales strategy. Now AI is replacing the very work Microsoft created. And maybe that's not a bad thing. Because sitting in a cubicle using Excel was never how humans were supposed to find purpose. The most curious people have the most fulfilling lives. Not the richest. Not the smartest. The whole knowledge economy was built to sell software. What happens when the software sells itself?
2:19

Microsoft invented the knowledge worker to sell more office software. That's not a conspiracy theory. That's what happened. Bill Gates vision was simple: put a PC on every desk. Not to make computing beautiful (that was Steve Jobs). Just to sell more software. Word. Excel. Email. People went to tutorials to learn these tools. Then companies made them the price of admission for employment. The entire concept of an office career was a sales strategy. Now AI is replacing the very work Microsoft created. And maybe that's not a bad thing. Because sitting in a cubicle using Excel was never how humans were supposed to find purpose. The most curious people have the most fulfilling lives. Not the richest. Not the smartest. The whole knowledge economy was built to sell software. What happens when the software sells itself?

Shruti

12,976 просмотров • 1 месяц назад

Balaji Srinivasan on taking the L to set up for the W: "Before Satya Nadella took over Microsoft, it was losing on mobile to iOS and Android." "He took the L... and he said, 'You know what? Linux is there. Linux is not going to go away.'" "We're going to run Linux on Microsoft hardware." "Mobile is not going away and nobody's installing the Microsoft mobile OS." "So we're going to allow Word and PowerPoint and Excel to run on iOS and Android devices." "And... the browser isn't going away. So we're going to make Office 365 work in the cloud." "Because he took the L, Satya set Microsoft up for the W." Balaji with Peter McCormack 🏴‍☠️🇬🇧🇮🇪
1:10

Balaji Srinivasan on taking the L to set up for the W: "Before Satya Nadella took over Microsoft, it was losing on mobile to iOS and Android." "He took the L... and he said, 'You know what? Linux is there. Linux is not going to go away.'" "We're going to run Linux on Microsoft hardware." "Mobile is not going away and nobody's installing the Microsoft mobile OS." "So we're going to allow Word and PowerPoint and Excel to run on iOS and Android devices." "And... the browser isn't going away. So we're going to make Office 365 work in the cloud." "Because he took the L, Satya set Microsoft up for the W." Balaji with Peter McCormack 🏴‍☠️🇬🇧🇮🇪

a16z

152,169 просмотров • 4 месяцев назад

holy shit! this is INSANE… Microsoft just launched copilot cowork. built with Anthropic. you describe what you want done. it turns your request into a plan and executes it across outlook, teams, excel. 90% of the fortune 500 already use copilot or Microsoft tools. now it does the work for you. the execution era is here and only accelerating.
1:47

holy shit! this is INSANE… Microsoft just launched copilot cowork. built with Anthropic. you describe what you want done. it turns your request into a plan and executes it across outlook, teams, excel. 90% of the fortune 500 already use copilot or Microsoft tools. now it does the work for you. the execution era is here and only accelerating.

Damian Player

166,920 просмотров • 5 месяцев назад

Matt Mullenweg told us the best acquisition his company ever made. He'd been studying Microsoft. For every $1 Microsoft made on Windows, the ecosystem around it made about $20. He wanted the app that sat on top of WordPress the way Office sat on top of Windows. He found it in a 40-person company in South Africa with 4 engineers. It was called woocommerce. They beat out a private equity firm to buy it. Last year over $30b in goods and services sold through it.
1:45

Matt Mullenweg told us the best acquisition his company ever made. He'd been studying Microsoft. For every $1 Microsoft made on Windows, the ecosystem around it made about $20. He wanted the app that sat on top of WordPress the way Office sat on top of Windows. He found it in a 40-person company in South Africa with 4 engineers. It was called woocommerce. They beat out a private equity firm to buy it. Last year over $30b in goods and services sold through it.

Sam Parr

30,982 просмотров • 1 месяц назад

"I don't think we ever go back to where we were," says $BLCO CEO Brent Saunders on remote vs. in person work. "I used to be a real stickler that work is in the office. Everyone needed to be in the office. The pandemic opened my eyes to some of the benefits of remote work."
4:27

"I don't think we ever go back to where we were," says $BLCO CEO Brent Saunders on remote vs. in person work. "I used to be a real stickler that work is in the office. Everyone needed to be in the office. The pandemic opened my eyes to some of the benefits of remote work."

Squawk Box

89,003 просмотров • 3 лет назад

man anthropic is absolutely cooking microsoft. claude now works natively in word, powerpoint and excel. thats 450M users but how the fuck did anthropic beat microsoft co-pilot? it gets worse - microsoft blew $13B creating co-pilot and owns 27% of openai yet no sign on chatgpt. - claude has access to SHARED context across excel, word and powerpoint. they know the footprint of microsoft's users - very valuable AI data. - only 15M microsoft users pay for copilot, so its clear they need to go model-agnostic - this is the 3rd major microsoft product to leverage claude (cowork and deep research are the other 2) very impressive execution from anthropic tbh, they are trying to be everywhere and anywhere - its working
0:57

man anthropic is absolutely cooking microsoft. claude now works natively in word, powerpoint and excel. thats 450M users but how the fuck did anthropic beat microsoft co-pilot? it gets worse - microsoft blew $13B creating co-pilot and owns 27% of openai yet no sign on chatgpt. - claude has access to SHARED context across excel, word and powerpoint. they know the footprint of microsoft's users - very valuable AI data. - only 15M microsoft users pay for copilot, so its clear they need to go model-agnostic - this is the 3rd major microsoft product to leverage claude (cowork and deep research are the other 2) very impressive execution from anthropic tbh, they are trying to be everywhere and anywhere - its working

Ejaaz

473,720 просмотров • 4 месяцев назад

Tucker is Charles Lindbergh pilled: "They tried to discredit the term America First and they did it by tying it to Charles Lindbergh. Lindbergh was the greatest hero in the first half of the 20th century in the United States. A true hero and a pioneer in aviation."👀
2:23

Tucker is Charles Lindbergh pilled: "They tried to discredit the term America First and they did it by tying it to Charles Lindbergh. Lindbergh was the greatest hero in the first half of the 20th century in the United States. A true hero and a pioneer in aviation."👀

Logan Hall

236,244 просмотров • 8 месяцев назад

The CEO of Microsoft AI just said on camera that most white collar work will be fully automated within 12 to 18 months. This isn't some random guy on a podcast. This is the person in charge of building the tools that will do it. And he's telling you the timeline out loud.
1:25

The CEO of Microsoft AI just said on camera that most white collar work will be fully automated within 12 to 18 months. This isn't some random guy on a podcast. This is the person in charge of building the tools that will do it. And he's telling you the timeline out loud.

Official Layoff

203,114 просмотров • 4 месяцев назад

Trump: Remember that I was the one that did it, OK? Somebody's going to walk into office and they're going to have the most successful country in history, and they're going to be bragging what a great job they did. We did it.
0:54

Trump: Remember that I was the one that did it, OK? Somebody's going to walk into office and they're going to have the most successful country in history, and they're going to be bragging what a great job they did. We did it.

Acyn

29,773 просмотров • 1 месяц назад

The owner of a real estate company thought it would be fun to build everyone their own tiny home as an office instead of the typical boring cubicles. He felt that it would be more private for them and it would be fun for the to customize and make it their own. When the workers get to work they seem to be at a home away from home. They are happier and more productive. Would you want to work in your own home office like this or should he just let them have cubicles like everyone else?
0:34

The owner of a real estate company thought it would be fun to build everyone their own tiny home as an office instead of the typical boring cubicles. He felt that it would be more private for them and it would be fun for the to customize and make it their own. When the workers get to work they seem to be at a home away from home. They are happier and more productive. Would you want to work in your own home office like this or should he just let them have cubicles like everyone else?

SonnyBoy🇺🇸

3,500,795 просмотров • 5 месяцев назад

Microsoft just betrayed OpenAI and Anthropic, the two companies it helped build. And it could break the entire AI trade... Here's what happened: Inside Excel and Outlook, two of the most used business apps on Earth, Microsoft has started routing tens of thousands of AI requests every week to its own in-house models instead of OpenAI and Anthropic. Microsoft's own AI chief, Mustafa Suleyman, said himself: "We pay a lot of money to Anthropic, so our goal is to reduce and ultimately ELIMINATE that cost." This is the company that poured $13 billion into OpenAI and effectively created the modern AI industry, and it just decided the most advanced models on the market are NOT worth paying for. And here's the thing... Microsoft is not just ripping out OpenAI everywhere - it is being surgical about it. The hardest and rarest tasks can still go to OpenAI or Anthropic. What Microsoft is taking back is the boring, high-volume work, like the email replies, the thread summaries, and the simple spreadsheet formulas. Why does that matter so much? Because that boring, repetitive work is where the actual money lives. The frontier labs assumed businesses would push BILLIONS of these tiny requests through expensive models forever. That endless river of tokens is the entire reason OpenAI and Anthropic are valued in the hundreds of billions of dollars. Microsoft looked at that river, decided it was massively overpaying, and rerouted it to models it owns outright. So the single biggest customer in the industry just walked off with the most profitable part of the business. And it is not only Microsoft: That same week, CNBC reported that American companies have been escaping to Chinese AI models to dodge rising US prices. Chinese models now handle more than 30% of US companies' AI usage on one major platform, peaking at 46%, up from an average of 11% a year earlier. They cost 60 to 90% less, and on some benchmarks they land within a single point of the best American model. One US startup moved ALL of its AI traffic off Claude and onto China's DeepSeek, and expects to save millions. Meanwhile Meta just admitted it has "excess" AI compute it wants to sell, becoming the first giant to concede it built far too much. Do you see the pattern forming? For two years, the entire AI story rested on one assumption: Every company on Earth would happily pay premium prices for the best model, forever. That assumption literally died in a single week. And the market noticed. More than a trillion dollars has been wiped off AI and chip stocks in a matter of days, as Wall Street finally started asking whether all of this spending will ever pay for itself. What this means for OpenAI and Anthropic: Their models are extraordinary, and it may not matter because their own biggest customers have decided they do not NEED the best model in the world to answer an email, and "good enough" now costs a fraction of the price. When even Microsoft refuses to pay full price for AI, the real question becomes who exactly IS left to pay it. What do you think?
1:05

Microsoft just betrayed OpenAI and Anthropic, the two companies it helped build. And it could break the entire AI trade... Here's what happened: Inside Excel and Outlook, two of the most used business apps on Earth, Microsoft has started routing tens of thousands of AI requests every week to its own in-house models instead of OpenAI and Anthropic. Microsoft's own AI chief, Mustafa Suleyman, said himself: "We pay a lot of money to Anthropic, so our goal is to reduce and ultimately ELIMINATE that cost." This is the company that poured $13 billion into OpenAI and effectively created the modern AI industry, and it just decided the most advanced models on the market are NOT worth paying for. And here's the thing... Microsoft is not just ripping out OpenAI everywhere - it is being surgical about it. The hardest and rarest tasks can still go to OpenAI or Anthropic. What Microsoft is taking back is the boring, high-volume work, like the email replies, the thread summaries, and the simple spreadsheet formulas. Why does that matter so much? Because that boring, repetitive work is where the actual money lives. The frontier labs assumed businesses would push BILLIONS of these tiny requests through expensive models forever. That endless river of tokens is the entire reason OpenAI and Anthropic are valued in the hundreds of billions of dollars. Microsoft looked at that river, decided it was massively overpaying, and rerouted it to models it owns outright. So the single biggest customer in the industry just walked off with the most profitable part of the business. And it is not only Microsoft: That same week, CNBC reported that American companies have been escaping to Chinese AI models to dodge rising US prices. Chinese models now handle more than 30% of US companies' AI usage on one major platform, peaking at 46%, up from an average of 11% a year earlier. They cost 60 to 90% less, and on some benchmarks they land within a single point of the best American model. One US startup moved ALL of its AI traffic off Claude and onto China's DeepSeek, and expects to save millions. Meanwhile Meta just admitted it has "excess" AI compute it wants to sell, becoming the first giant to concede it built far too much. Do you see the pattern forming? For two years, the entire AI story rested on one assumption: Every company on Earth would happily pay premium prices for the best model, forever. That assumption literally died in a single week. And the market noticed. More than a trillion dollars has been wiped off AI and chip stocks in a matter of days, as Wall Street finally started asking whether all of this spending will ever pay for itself. What this means for OpenAI and Anthropic: Their models are extraordinary, and it may not matter because their own biggest customers have decided they do not NEED the best model in the world to answer an email, and "good enough" now costs a fraction of the price. When even Microsoft refuses to pay full price for AI, the real question becomes who exactly IS left to pay it. What do you think?

Ricardo

92,971 просмотров • 1 месяц назад

Bill Gates told Satya Nadella that Microsoft's 2019 $1B investment in OpenAI was the equivalent of lighting the money on fire. What did it mean for Microsoft to invest in the unproven nonprofit? "I didn't put in that billion dollars saying 'Oh yeah, this is going to be a hundred bagger.' That's not what was going through our heads." "We had a high risk tolerance and we said we want to go and give this a shot."
1:48

Bill Gates told Satya Nadella that Microsoft's 2019 $1B investment in OpenAI was the equivalent of lighting the money on fire. What did it mean for Microsoft to invest in the unproven nonprofit? "I didn't put in that billion dollars saying 'Oh yeah, this is going to be a hundred bagger.' That's not what was going through our heads." "We had a high risk tolerance and we said we want to go and give this a shot."

TBPN

538,322 просмотров • 9 месяцев назад

The entire AI industry is racing to build the smartest model. Satya Nadella just admitted that is not where the money is. The model is not the product. The harness is. That is the exact line. And it changes what Microsoft is actually competing on. OpenAI, Anthropic, Google, xAI, Meta every frontier lab is pouring hundreds of billions into training compute, chasing the next capability jump. Each betting that raw model intelligence is the moat. Microsoft is doing the opposite. It is building the harness the orchestration layer that sits above the model, connecting it to tools, data, permissions, sub-agents, and enterprise workflows. And it is letting OpenAI, Anthropic, and MAI compete to plug into it. "You need the model. But the model is not the product. The harness is." So do the math on what a harness actually does. A raw model dropped into an enterprise answers questions. That is a chatbot. A harness turns that same model into an agent that reads the SharePoint, edits the ERP entry, pulls the GitHub PR, updates Salesforce, and files the Excel report with the right permissions, the right audit trail, and the right sub-agent for each sub-task. The model provides the intelligence. The harness converts intelligence into work. Now here's where it gets interesting. "Even the best model in the world will feel broken without a great harness. And an okay model with a great harness can feel like magic." If that is true, the enterprise buyer is not buying model quality. The enterprise buyer is buying the harness. Which means model quality becomes a commodity input over time, and harness quality becomes the sustainable moat. Compare that to the strategy the entire frontier lab industry is executing. Everyone else is chasing the numerator raw intelligence. Almost nobody at scale is racing to build the denominator the orchestration layer that determines whether that intelligence can actually be deployed profitably inside a real company. The frontier model race has a 10 to 20 percent chance of producing a single dominant winner. Nadella just told the industry he does not need to be that winner. If OpenAI wins, Microsoft wins. If Anthropic wins, Microsoft wins. If MAI wins, Microsoft wins. If someone Microsoft has never heard of trains a better model in 2027, Microsoft still wins. Because the compute they train on, the harness they get plugged into, the enterprise contracts they get delivered through, and the products they sit inside are all Microsoft. He is not building the best AI model. He is building the layer that the best AI model has to run on to make anyone money. I wonder which position looks more valuable in ten years.
3:19

The entire AI industry is racing to build the smartest model. Satya Nadella just admitted that is not where the money is. The model is not the product. The harness is. That is the exact line. And it changes what Microsoft is actually competing on. OpenAI, Anthropic, Google, xAI, Meta every frontier lab is pouring hundreds of billions into training compute, chasing the next capability jump. Each betting that raw model intelligence is the moat. Microsoft is doing the opposite. It is building the harness the orchestration layer that sits above the model, connecting it to tools, data, permissions, sub-agents, and enterprise workflows. And it is letting OpenAI, Anthropic, and MAI compete to plug into it. "You need the model. But the model is not the product. The harness is." So do the math on what a harness actually does. A raw model dropped into an enterprise answers questions. That is a chatbot. A harness turns that same model into an agent that reads the SharePoint, edits the ERP entry, pulls the GitHub PR, updates Salesforce, and files the Excel report with the right permissions, the right audit trail, and the right sub-agent for each sub-task. The model provides the intelligence. The harness converts intelligence into work. Now here's where it gets interesting. "Even the best model in the world will feel broken without a great harness. And an okay model with a great harness can feel like magic." If that is true, the enterprise buyer is not buying model quality. The enterprise buyer is buying the harness. Which means model quality becomes a commodity input over time, and harness quality becomes the sustainable moat. Compare that to the strategy the entire frontier lab industry is executing. Everyone else is chasing the numerator raw intelligence. Almost nobody at scale is racing to build the denominator the orchestration layer that determines whether that intelligence can actually be deployed profitably inside a real company. The frontier model race has a 10 to 20 percent chance of producing a single dominant winner. Nadella just told the industry he does not need to be that winner. If OpenAI wins, Microsoft wins. If Anthropic wins, Microsoft wins. If MAI wins, Microsoft wins. If someone Microsoft has never heard of trains a better model in 2027, Microsoft still wins. Because the compute they train on, the harness they get plugged into, the enterprise contracts they get delivered through, and the products they sit inside are all Microsoft. He is not building the best AI model. He is building the layer that the best AI model has to run on to make anyone money. I wonder which position looks more valuable in ten years.

Vikram M

21,463 просмотров • 1 месяц назад

The cold is British. They just never told you. ❄️🇬🇧 Every air conditioner, every fridge, every freezer on earth, the cold inside all of it was first made by a Scotsman. In 1756. ❄️🏴󠁧󠁢󠁳󠁣󠁴󠁿 His name was William Cullen, a doctor in Edinburgh. In a warm room, with no ice and no winter, he drew the air from a glass of ether until it boiled cold and drank the heat from the water around it, until the water froze. No one had ever done it before. Then he wrote it down and walked away. No machine, no patent, no fortune. Just the proof, on a bench. It sat there the better part of a century. A British bench built the first machine that worked, and a Scot carried it across the world to Australia, where it froze meat and cooled beer. But cold was only half the story. ❄️📖 To master the air itself took another Scot. When the Houses of Parliament burned down in 1834, David Boswell Reid made the new building breathe, its gothic spires its lungs. At St George's Hall in Liverpool in 1851 he built what is often called the first air-conditioned building on earth. It should have made him. He died forgotten in America instead. 40 years on, Willis Carrier built the machine and earned his name as the father of modern air conditioning. He earned every bit of it. But he did not make the cold. The cold was British. America took that inheritance and cooled the world with it, and that is no theft. That is what an inheritance is for. We are the home of British heroes. Not built by ads, not by the government, built by us. There's a place for you with us. Be part of us. ☝️🇬🇧 Be Proud Of Us. 🙏🇬🇧
4:44

The cold is British. They just never told you. ❄️🇬🇧 Every air conditioner, every fridge, every freezer on earth, the cold inside all of it was first made by a Scotsman. In 1756. ❄️🏴󠁧󠁢󠁳󠁣󠁴󠁿 His name was William Cullen, a doctor in Edinburgh. In a warm room, with no ice and no winter, he drew the air from a glass of ether until it boiled cold and drank the heat from the water around it, until the water froze. No one had ever done it before. Then he wrote it down and walked away. No machine, no patent, no fortune. Just the proof, on a bench. It sat there the better part of a century. A British bench built the first machine that worked, and a Scot carried it across the world to Australia, where it froze meat and cooled beer. But cold was only half the story. ❄️📖 To master the air itself took another Scot. When the Houses of Parliament burned down in 1834, David Boswell Reid made the new building breathe, its gothic spires its lungs. At St George's Hall in Liverpool in 1851 he built what is often called the first air-conditioned building on earth. It should have made him. He died forgotten in America instead. 40 years on, Willis Carrier built the machine and earned his name as the father of modern air conditioning. He earned every bit of it. But he did not make the cold. The cold was British. America took that inheritance and cooled the world with it, and that is no theft. That is what an inheritance is for. We are the home of British heroes. Not built by ads, not by the government, built by us. There's a place for you with us. Be part of us. ☝️🇬🇧 Be Proud Of Us. 🙏🇬🇧

Proudofus.uk

56,349 просмотров • 1 месяц назад

Bill Gates just called AI the biggest technical thing of his entire life and said its influence is impossible to overstate. the man who built Microsoft and lived through every tech wave of the last 50 years. Bill Gates: "there will be a frenzy. some companies will burn billions on data centers whose electricity is too expensive, and won't earn it back before the next generation of chips arrives" everyone around him pushed him to stay quiet so the race wouldn't slow down, but he said it straight "this will hit the job market" bookmark it and watch him break it down ↓
3:48

Bill Gates just called AI the biggest technical thing of his entire life and said its influence is impossible to overstate. the man who built Microsoft and lived through every tech wave of the last 50 years. Bill Gates: "there will be a frenzy. some companies will burn billions on data centers whose electricity is too expensive, and won't earn it back before the next generation of chips arrives" everyone around him pushed him to stay quiet so the race wouldn't slow down, but he said it straight "this will hit the job market" bookmark it and watch him break it down ↓

damir akaza

584,764 просмотров • 2 месяцев назад

In Ancient Rome, an "office" wasn't a building, it was a person's staff. The word comes from “officium”, referring to a magistrate's retinue of aides and administrators, each one called an officialis. If you held real authority, your "office" was the group of people around you handling correspondence, records, and logistics on your behalf. This wasn't a small operation. Surviving records like the Notitia Dignitatum, a late Roman administrative document, list out the staffing structures for provincial governors and military commanders in detail: ranks, roles, and reporting lines not far off from a modern org chart. Coordination happened the only way it could: in person, in the same building, one conversation at a time. It wasn't until the word crossed into English in the 1200s that "office" started to mean a place instead of a role, and even later before it came to mean the literal room or building we picture today. For most of its history, the word wasn't about where you worked. It was about who was working with you.
5:37

In Ancient Rome, an "office" wasn't a building, it was a person's staff. The word comes from “officium”, referring to a magistrate's retinue of aides and administrators, each one called an officialis. If you held real authority, your "office" was the group of people around you handling correspondence, records, and logistics on your behalf. This wasn't a small operation. Surviving records like the Notitia Dignitatum, a late Roman administrative document, list out the staffing structures for provincial governors and military commanders in detail: ranks, roles, and reporting lines not far off from a modern org chart. Coordination happened the only way it could: in person, in the same building, one conversation at a time. It wasn't until the word crossed into English in the 1200s that "office" started to mean a place instead of a role, and even later before it came to mean the literal room or building we picture today. For most of its history, the word wasn't about where you worked. It was about who was working with you.

Historic Vids

180,301 просмотров • 28 дней назад

Jensen Huang was asked about the people technology left behind. He didn't offer a plan. He said the gap already closed. Huang: "All of a sudden artificial intelligence closed that technology divide." That divide was never a gap in ability. It was a language requirement. Huang: "Anybody could be a software programmer now." Every tool we ever built charged admission, and the price was always a language. The press needed literacy. The engine needed the manual. The computer needed code. Every tool in history had the same shape. The human moved toward the machine, compressed into a form it could parse. Whoever couldn't compress stayed outside. Code was always a human speaking machine. Seventy years of people translating themselves down into something a processor would accept. It just learned to speak back. Nothing has ever moved in that direction before. So we sorted people by the toll and pretended we were sorting by mind. The ones who paid became skilled. Everyone else became unskilled, a word that has never once described a real person. It only meant fluent in nothing the market was buying. Huang: "Everybody who are really gifted at their craft but maybe they don't know how to scale themselves with technology, they now have AI to help scale them." The best cook in a village of four thousand died the best cook in a village of four thousand. Not from a shortage of ability, but from a second requirement that had nothing to do with the first. Go back far enough in your own family and there is someone who was extraordinary at something. The world never found out. Neither did they. Ability was never distributed by geography. Access was, and access is the only thing that got recorded. Every system you move through in a day was built by the narrow band who could speak to a machine. Not the best ideas anyone had. The ideas that survived translation. We have never once seen what the rest of the species would have made. The scarcity was never in the talent. It was in the distance between holding it and reaching anyone. That distance was the product the technology industry sold. Huang: "They're welcomed into the world's economy, not burdened by technology anymore because AI made that possible." Burdened. Technology sold itself as leverage for a century, and the man supplying the whole industry just called it a weight. A developer you couldn't afford. A site that broke on a Sunday with no one to call. You paid the technology industry for permission to be findable. Nobody on earth got smarter this decade. The door stopped asking for a password. Huang: "Five years from now, it is likely that we're all going to be more gainfully employed. The economy is gonna be more productive." He grounds that in the labor shortage already on the books. Open work with nobody there to do it, inside an economy panicking about a machine that takes work away. Both cannot be true. The fear says there won't be enough work for us. The ledger says there aren't enough of us for the work. Every time a tool stopped requiring a specialist, the specialist lost a monopoly and everyone else gained a century. Writing left the scribes. The press left the church. The computer left the lab. The barrier was also a shelter. Everyone left outside got to keep the version of themselves that was never tested. For most of history that was a mercy. The wall did the refusing, so you never had to hear it from anyone else. The wall is gone. Now you find out. Nothing about you changed. The requirement did. For the first time, the only thing between what you can do and who it reaches is whether you do it.
1:44

Jensen Huang was asked about the people technology left behind. He didn't offer a plan. He said the gap already closed. Huang: "All of a sudden artificial intelligence closed that technology divide." That divide was never a gap in ability. It was a language requirement. Huang: "Anybody could be a software programmer now." Every tool we ever built charged admission, and the price was always a language. The press needed literacy. The engine needed the manual. The computer needed code. Every tool in history had the same shape. The human moved toward the machine, compressed into a form it could parse. Whoever couldn't compress stayed outside. Code was always a human speaking machine. Seventy years of people translating themselves down into something a processor would accept. It just learned to speak back. Nothing has ever moved in that direction before. So we sorted people by the toll and pretended we were sorting by mind. The ones who paid became skilled. Everyone else became unskilled, a word that has never once described a real person. It only meant fluent in nothing the market was buying. Huang: "Everybody who are really gifted at their craft but maybe they don't know how to scale themselves with technology, they now have AI to help scale them." The best cook in a village of four thousand died the best cook in a village of four thousand. Not from a shortage of ability, but from a second requirement that had nothing to do with the first. Go back far enough in your own family and there is someone who was extraordinary at something. The world never found out. Neither did they. Ability was never distributed by geography. Access was, and access is the only thing that got recorded. Every system you move through in a day was built by the narrow band who could speak to a machine. Not the best ideas anyone had. The ideas that survived translation. We have never once seen what the rest of the species would have made. The scarcity was never in the talent. It was in the distance between holding it and reaching anyone. That distance was the product the technology industry sold. Huang: "They're welcomed into the world's economy, not burdened by technology anymore because AI made that possible." Burdened. Technology sold itself as leverage for a century, and the man supplying the whole industry just called it a weight. A developer you couldn't afford. A site that broke on a Sunday with no one to call. You paid the technology industry for permission to be findable. Nobody on earth got smarter this decade. The door stopped asking for a password. Huang: "Five years from now, it is likely that we're all going to be more gainfully employed. The economy is gonna be more productive." He grounds that in the labor shortage already on the books. Open work with nobody there to do it, inside an economy panicking about a machine that takes work away. Both cannot be true. The fear says there won't be enough work for us. The ledger says there aren't enough of us for the work. Every time a tool stopped requiring a specialist, the specialist lost a monopoly and everyone else gained a century. Writing left the scribes. The press left the church. The computer left the lab. The barrier was also a shelter. Everyone left outside got to keep the version of themselves that was never tested. For most of history that was a mercy. The wall did the refusing, so you never had to hear it from anyone else. The wall is gone. Now you find out. Nothing about you changed. The requirement did. For the first time, the only thing between what you can do and who it reaches is whether you do it.

Dustin

429,296 просмотров • 16 дней назад

WORK ETHIC vs. WANT ETHIC: "Next time you're watching a game and one player makes a play over another player, listen for the announcer to say, "Oh! He just wanted it more!" Then ask yourself this: Was the level of 'want' really the difference why one player made the play and the other didn't?! Or did one of those players plan better, jump higher, use better technique, see more clearly, and build better skill? Did he want it more in the moment or did he prepare a little better and when that moment arrived he performed a little better? You think that the other player didn't want it? Didn't want to make the play? Was the difference between those two athletes their level of want?! No way. It wasn't want. It was work! Getting in shape requires consistent workouts, not frequent want-outs. You earn in alignment with the quality of your work, not the quality of your want. You can build a life on a work ethic but you can't build anything on a want ethic. Working hard is studying, prepping, reps, reflection, feedback, and responsibility for the results that you produce. It's late nights and early mornings. It's uncommon effort and it's choosing to push harder when you could relax. Wanting hard? Well, that's what everyone else does. Everything is training for something. Do the work.”
1:52

WORK ETHIC vs. WANT ETHIC: "Next time you're watching a game and one player makes a play over another player, listen for the announcer to say, "Oh! He just wanted it more!" Then ask yourself this: Was the level of 'want' really the difference why one player made the play and the other didn't?! Or did one of those players plan better, jump higher, use better technique, see more clearly, and build better skill? Did he want it more in the moment or did he prepare a little better and when that moment arrived he performed a little better? You think that the other player didn't want it? Didn't want to make the play? Was the difference between those two athletes their level of want?! No way. It wasn't want. It was work! Getting in shape requires consistent workouts, not frequent want-outs. You earn in alignment with the quality of your work, not the quality of your want. You can build a life on a work ethic but you can't build anything on a want ethic. Working hard is studying, prepping, reps, reflection, feedback, and responsibility for the results that you produce. It's late nights and early mornings. It's uncommon effort and it's choosing to push harder when you could relax. Wanting hard? Well, that's what everyone else does. Everything is training for something. Do the work.”

Brian Kight

47,072 просмотров • 1 год назад

CURT MILLS: It appears to be a redux of where we were before the summer, which is that the President was willing to work with everyone in the region but Israel is not getting any special privileges. We’ve seen this show before — Witkoff did a deal that created a ceasefire in the war and Israel broke it in March.
2:56

CURT MILLS: It appears to be a redux of where we were before the summer, which is that the President was willing to work with everyone in the region but Israel is not getting any special privileges. We’ve seen this show before — Witkoff did a deal that created a ceasefire in the war and Israel broke it in March.

Bannon’s WarRoom

26,784 просмотров • 10 месяцев назад