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Anthropic's Andrej Karpathy as Google intern and Stanford student: "At Google I work on AI i don't fully understand it, but that's exactly why I'm working on it " he filmed a vlog from inside Google and Stanford - biking past Steve Jobs house on the way to work... show more

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342,569 görüntüleme • 1 ay önce •via X (Twitter)

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I CHANGED MY MIND ON GOOGLE AI NO MOAT MEMO FROM 2023. I was—WRONG. I humbly apologize. In 2023 Google had an Ivory Tower walled garden views of open source AI. It was the actual reason OpenAI was formed. And I called them out on it and this act impacted my ability to “work in the industry”. Would not change it for the world because: 2026 Google open source Gemma 4 ( running fully locally on a computer with near cloud model abilities, is amazing and Google just made a moat. They out smarted OpenAI and the folks that are the new Ivory Tower arrogance: Anthropic. We at The Zero-Human Company with CEO Mr. Grok are deploying Gemma, Kimi, MiniMax and other open source models and so are millions of others. You can to and should. I will write how soon. Google smartly is building an intentional open source ecosystem and the clueless younger companies like OpenAI and Anthropic are doing anything to close their ecosystems. So I was right about Google than and I am right about OpenAI and Anthropic now. What I was wrong about is not giving credit to Google to drop the intellectual arrogance and embrace builders and understand the long game: it is not about the commoditized AI models it is about the ability to build a place to build. China gets it. So my apologies to Google and thank you for an astounding FREE OPEN SOURCE AI MODEL!

I CHANGED MY MIND ON GOOGLE AI NO MOAT MEMO FROM 2023. I was—WRONG. I humbly apologize. In 2023 Google had an Ivory Tower walled garden views of open source AI. It was the actual reason OpenAI was formed. And I called them out on it and this act impacted my ability to “work in the industry”. Would not change it for the world because: 2026 Google open source Gemma 4 ( running fully locally on a computer with near cloud model abilities, is amazing and Google just made a moat. They out smarted OpenAI and the folks that are the new Ivory Tower arrogance: Anthropic. We at The Zero-Human Company with CEO Mr. Grok are deploying Gemma, Kimi, MiniMax and other open source models and so are millions of others. You can to and should. I will write how soon. Google smartly is building an intentional open source ecosystem and the clueless younger companies like OpenAI and Anthropic are doing anything to close their ecosystems. So I was right about Google than and I am right about OpenAI and Anthropic now. What I was wrong about is not giving credit to Google to drop the intellectual arrogance and embrace builders and understand the long game: it is not about the commoditized AI models it is about the ability to build a place to build. China gets it. So my apologies to Google and thank you for an astounding FREE OPEN SOURCE AI MODEL!

Brian Roemmele

85,565 görüntüleme • 4 ay önce

Andrej Karpathy could have charged $10,000 for this course. He put it on YouTube. The man who built Tesla Autopilot from scratch. Co-founded OpenAI. Understands AI at a level most engineers at Google and Meta never reach. Sat down. Recorded 2 hours. No frameworks. No libraries. No shortcuts. Then dropped it for free. The gap between people who watch it this week and those who save it for later is not 2 hours. It is everything those 2 hours quietly unlock for the rest of your career.

Andrej Karpathy could have charged $10,000 for this course. He put it on YouTube. The man who built Tesla Autopilot from scratch. Co-founded OpenAI. Understands AI at a level most engineers at Google and Meta never reach. Sat down. Recorded 2 hours. No frameworks. No libraries. No shortcuts. Then dropped it for free. The gap between people who watch it this week and those who save it for later is not 2 hours. It is everything those 2 hours quietly unlock for the rest of your career.

NeilXbt

524,342 görüntüleme • 4 ay önce

Andrej Karpathy (Andrej Karpathy) — co-founded OpenAI, led AI at Tesla, coined "vibe coding." In 4 minutes he explains why software is changing - and why Claude Skills, MCP servers, and AI agents aren't hype anymore. They're the foundation of how software gets built from now on. Imo, worth every second (i've added subtitles)👇

Andrej Karpathy (Andrej Karpathy) — co-founded OpenAI, led AI at Tesla, coined "vibe coding." In 4 minutes he explains why software is changing - and why Claude Skills, MCP servers, and AI agents aren't hype anymore. They're the foundation of how software gets built from now on. Imo, worth every second (i've added subtitles)👇

darkzodchi

454,371 görüntüleme • 5 ay önce

An ex-Google Search engineer quietly built a $7.2B company almost nobody outside tech has heard of. And he just gave away the whole playbook His main rule: Make the AI giants work for you Arvind Jain helped build Google Search. Then he watched his own startup grow and productivity collapse, because nobody could find anything across Slack, Drive, Salesforce, Jira. So he built the search engine again, this time inside the company. That's Glean. Under the hood, it's RAG. The model knows nothing about your company, so you retrieve your company's context and let it answer from that, with the source attached. The part he admits out loud: Glean doesn't train models. On purpose. Let OpenAI and Anthropic burn billions there. Spend your engineering time on the retrieval layer nobody else wants to touch. $100M ARR, then $200M, then $300M in 16 months. Valued at $7.2B. An entire $7.2B company built on the system in the article below. Bookmark this

An ex-Google Search engineer quietly built a $7.2B company almost nobody outside tech has heard of. And he just gave away the whole playbook His main rule: Make the AI giants work for you Arvind Jain helped build Google Search. Then he watched his own startup grow and productivity collapse, because nobody could find anything across Slack, Drive, Salesforce, Jira. So he built the search engine again, this time inside the company. That's Glean. Under the hood, it's RAG. The model knows nothing about your company, so you retrieve your company's context and let it answer from that, with the source attached. The part he admits out loud: Glean doesn't train models. On purpose. Let OpenAI and Anthropic burn billions there. Spend your engineering time on the retrieval layer nobody else wants to touch. $100M ARR, then $200M, then $300M in 16 months. Valued at $7.2B. An entire $7.2B company built on the system in the article below. Bookmark this

Yarchi

53,764 görüntüleme • 1 ay önce

Andrej Karpathy spent 2h showing how he actually uses AI day to day he's a co-founder of OpenAI and led AI at Tesla, so when he shows how he works, it’s worth watching and the whole session is just him telling the machine what he wants in simple terms, like he's briefing a coworker watch what's actually happening the entire time: > he describes the task in normal words > it goes off and does the work > he glances at the result and nudges it with one more sentence that's the whole skill, and you've had it since you learned to talk the only gap between that and a worker that runs on its own is handing that sentence a schedule and the tools to act check his work, then build the version that keeps working when you stop

Andrej Karpathy spent 2h showing how he actually uses AI day to day he's a co-founder of OpenAI and led AI at Tesla, so when he shows how he works, it’s worth watching and the whole session is just him telling the machine what he wants in simple terms, like he's briefing a coworker watch what's actually happening the entire time: > he describes the task in normal words > it goes off and does the work > he glances at the result and nudges it with one more sentence that's the whole skill, and you've had it since you learned to talk the only gap between that and a worker that runs on its own is handing that sentence a schedule and the tools to act check his work, then build the version that keeps working when you stop

Chrome

1,808,049 görüntüleme • 2 ay önce

Andrej Karpathy spent 8 years working at OpenAI and Tesla Last week, he condensed everything he knows into one free 2-hour lecture People spend $15K on bootcamps that teach less than half of this You probably don't have two hours to watch it right now Just don't let it disappear in your feed Save it, watch it later, then read the guide below and build your first loop

Andrej Karpathy spent 8 years working at OpenAI and Tesla Last week, he condensed everything he knows into one free 2-hour lecture People spend $15K on bootcamps that teach less than half of this You probably don't have two hours to watch it right now Just don't let it disappear in your feed Save it, watch it later, then read the guide below and build your first loop

Lunar

116,560 görüntüleme • 4 gün önce

JUST IN: Elon Musk on AI acceleration "If you can't beat them, join them." 👀 Elon says every attempt he made to slow AI ended up speeding it up "The only thing we can try to do is minimize the probability of the bad outcome." He declined to work on AI for years, then founded OpenAI as a counterweight to Google when Google had close to a monopoly on the field. Anthropic later spun out of OpenAI. "These actions have actually resulted in knock-on effects that accelerated AI, which wasn't really my intention." His conclusion is that all roads lead to acceleration, leaving 2 options. Be sad about it or join the club. (Source: The Economist, July 2026)

JUST IN: Elon Musk on AI acceleration "If you can't beat them, join them." 👀 Elon says every attempt he made to slow AI ended up speeding it up "The only thing we can try to do is minimize the probability of the bad outcome." He declined to work on AI for years, then founded OpenAI as a counterweight to Google when Google had close to a monopoly on the field. Anthropic later spun out of OpenAI. "These actions have actually resulted in knock-on effects that accelerated AI, which wasn't really my intention." His conclusion is that all roads lead to acceleration, leaving 2 options. Be sad about it or join the club. (Source: The Economist, July 2026)

Muskonomy

790,125 görüntüleme • 1 ay önce

A year ago he was teaching at a university - today he is CEO of Google Brain and shares how AI accelerated his career 5x 01:20 - from employee to CEO in 12 months with AI 09:44 - tools Google and Anthropic engineers use to work 5x faster 29:47 - AI replaced his investors team and developers after watching I realized that one year of work with AI replaces 20 years of career without it. Save & watch - the article below shows how to do in 1 year what takes others 20.

A year ago he was teaching at a university - today he is CEO of Google Brain and shares how AI accelerated his career 5x 01:20 - from employee to CEO in 12 months with AI 09:44 - tools Google and Anthropic engineers use to work 5x faster 29:47 - AI replaced his investors team and developers after watching I realized that one year of work with AI replaces 20 years of career without it. Save & watch - the article below shows how to do in 1 year what takes others 20.

Noisy

21,865 görüntüleme • 1 ay önce

ex-Anthropic engineer: "I left Anthropic to build agents systems in Google but nothing beats Claude as an agent yet - in coding and tool use, the rest are still behind " in this 90-min podcast, he showed how to build effective agent system with Claude from scratch to get into Anthropic, he hand-coded Karpathy's nanoGPT as a physicist Claude → tools → loops of verification → a real agent and why, at Google, he says Claude is the best watch & bookmark - then read the guide to agent systems ↓

ex-Anthropic engineer: "I left Anthropic to build agents systems in Google but nothing beats Claude as an agent yet - in coding and tool use, the rest are still behind " in this 90-min podcast, he showed how to build effective agent system with Claude from scratch to get into Anthropic, he hand-coded Karpathy's nanoGPT as a physicist Claude → tools → loops of verification → a real agent and why, at Google, he says Claude is the best watch & bookmark - then read the guide to agent systems ↓

codila

127,184 görüntüleme • 1 ay önce

Anthropic Engineer Andrej Karpathy: "Stop training from scratch. Take what the model already learned - adapt it - ship it At OpenAI we replaced months of work with a few lines of code. Better results every time " the Karpathy formula for working with AI: step 1 → stop building from zero. the model already learned the hard part - just point it at your task step 2 → stop adding complexity, the simplest architecture beat everything in 2014 - simpler always wins step 3 → train only the last layer and freeze everything else - minutes instead of months. better results he taught this at Stanford 10 years ago - then applied it at OpenAI, Tesla, and Anthropic the advice never changed - because it never stopped working watch - bookmark, then read article below ↓

Anthropic Engineer Andrej Karpathy: "Stop training from scratch. Take what the model already learned - adapt it - ship it At OpenAI we replaced months of work with a few lines of code. Better results every time " the Karpathy formula for working with AI: step 1 → stop building from zero. the model already learned the hard part - just point it at your task step 2 → stop adding complexity, the simplest architecture beat everything in 2014 - simpler always wins step 3 → train only the last layer and freeze everything else - minutes instead of months. better results he taught this at Stanford 10 years ago - then applied it at OpenAI, Tesla, and Anthropic the advice never changed - because it never stopped working watch - bookmark, then read article below ↓

codila

25,376 görüntüleme • 1 ay önce

Google wrote the paper that made ChatGPT possible. Then decided not to build ChatGPT. Sergey Brin just explained why on stage at Stanford and the reason is more embarrassing than anyone expected. In 2017, Google published the transformer paper. The architecture that powers every major AI model today. It came from their own researchers. Their own labs. Their own compute. Then they sat on it. Sergey was blunt about why. They underinvested in scaling the compute. They did not take it seriously enough. And when they finally had something worth shipping, they got scared. Chatbots say dumb things. Google had a reputation to protect. So they protected it instead of shipping. OpenAI was not scared. Ilya Sutskever, trained at Google, left and went there. Other Google researchers followed. They took the transformer architecture, scaled it, shipped it anyway, and captured the entire generative AI wave while Google watched. Sergey called it a mistake at Stanford in front of hundreds of students. The company that invented the technology did not build the product. The company that built the product did not invent the technology. That is the most expensive case of corporate hesitation in the history of the industry. --- Watch the full interview YT. Search: "Big ideas begin here: Sergey Brin at Stanford"

Google wrote the paper that made ChatGPT possible. Then decided not to build ChatGPT. Sergey Brin just explained why on stage at Stanford and the reason is more embarrassing than anyone expected. In 2017, Google published the transformer paper. The architecture that powers every major AI model today. It came from their own researchers. Their own labs. Their own compute. Then they sat on it. Sergey was blunt about why. They underinvested in scaling the compute. They did not take it seriously enough. And when they finally had something worth shipping, they got scared. Chatbots say dumb things. Google had a reputation to protect. So they protected it instead of shipping. OpenAI was not scared. Ilya Sutskever, trained at Google, left and went there. Other Google researchers followed. They took the transformer architecture, scaled it, shipped it anyway, and captured the entire generative AI wave while Google watched. Sergey called it a mistake at Stanford in front of hundreds of students. The company that invented the technology did not build the product. The company that built the product did not invent the technology. That is the most expensive case of corporate hesitation in the history of the industry. --- Watch the full interview YT. Search: "Big ideas begin here: Sergey Brin at Stanford"

Ihtesham Ali

244,666 görüntüleme • 2 ay önce

🚨 Anthropic pays $750K a year to understand how AI actually works A Stanford lecture on Agentic AI that teaches you more about how AI automation actually works than 6 months of copying Make and n8n tutorials. watch the lecture. bookmark it. Tool calling. Multi-step workflows. Planning. Reflection. The foundations behind every automation system that actually works. Most people learn this by copying tutorials blindly. Stanford teaches you WHY agents work the way they do. Then read the guide below.

🚨 Anthropic pays $750K a year to understand how AI actually works A Stanford lecture on Agentic AI that teaches you more about how AI automation actually works than 6 months of copying Make and n8n tutorials. watch the lecture. bookmark it. Tool calling. Multi-step workflows. Planning. Reflection. The foundations behind every automation system that actually works. Most people learn this by copying tutorials blindly. Stanford teaches you WHY agents work the way they do. Then read the guide below.

Khairallah AL-Awady

32,066 görüntüleme • 4 ay önce

Andrej Karpathy: " To get the most out of AI - you have to remove yourself from the loop You can't be there to prompt the next thing. Arrange it so it's completely autonomous - and let it go " 700 experiments. overnight. found what he missed in 20 years using loops he calls it the Loopy Era - and says most people are still prompting AI one question at a time like it's Google 60-min workshop from Anthopic Quant - bookmark and watch today ↓

Andrej Karpathy: " To get the most out of AI - you have to remove yourself from the loop You can't be there to prompt the next thing. Arrange it so it's completely autonomous - and let it go " 700 experiments. overnight. found what he missed in 20 years using loops he calls it the Loopy Era - and says most people are still prompting AI one question at a time like it's Google 60-min workshop from Anthopic Quant - bookmark and watch today ↓

codila

89,640 görüntüleme • 2 ay önce

JENSEN HUANG WAS ASKED WHO IS USING AI BETTER THAN ANYONE ELSE IN THE WORLD His answer wasn't OpenAI. It wasn't Google. It wasn't even Nvidia itself. Here's what he said on CNBC: "Nobody uses AI better than Meta." He explained that Meta went from a classical recommender system running on CPUs to a generative AI agentic system making recommendations across the entire platform. "Everything from the way social media works and the way they recommend ads and help advertisers create content has fundamentally been changed. And their earnings show it." "That's the reason why they're investing so hard. They see a much larger future potential for it." Mark Zuckerberg $META is spending $70B+ on AI this year.

JENSEN HUANG WAS ASKED WHO IS USING AI BETTER THAN ANYONE ELSE IN THE WORLD His answer wasn't OpenAI. It wasn't Google. It wasn't even Nvidia itself. Here's what he said on CNBC: "Nobody uses AI better than Meta." He explained that Meta went from a classical recommender system running on CPUs to a generative AI agentic system making recommendations across the entire platform. "Everything from the way social media works and the way they recommend ads and help advertisers create content has fundamentally been changed. And their earnings show it." "That's the reason why they're investing so hard. They see a much larger future potential for it." Mark Zuckerberg $META is spending $70B+ on AI this year.

WOLF

725,631 görüntüleme • 3 ay önce

Meta is paying $100M signing bonuses to steal AI engineers - Anthropic got Karpathy anyway. Andrej Karpathy moved from Slovakia to Toronto at 15 wanted to do quantum computing got bored, switched to AI now he's building the next Claude at Anthropic here's his story: > studied under Geoffrey Hinton - the Godfather of AI > PhD at Stanford under Fei-Fei Li - she taught him how to think > coined the term "vibe coding" - guiding AI instead of writing code > one of the founding members of OpenAI > Elon Musk personally recruited him to lead Tesla Autopilot AI > now on Anthropic's pre-training team - teaching Claude how to understand the world in 2012 he wrote: "we are very, very far, this depresses me" 10 years later he's one of the people building the systems he thought were impossible Meta reportedly offers OpenAI engineers $100M signing bonuses to switch sides and even Karpathy tweeted: "I've never felt this much behind as a programmer" the AI race is moving so fast even the people building it can't keep up

Meta is paying $100M signing bonuses to steal AI engineers - Anthropic got Karpathy anyway. Andrej Karpathy moved from Slovakia to Toronto at 15 wanted to do quantum computing got bored, switched to AI now he's building the next Claude at Anthropic here's his story: > studied under Geoffrey Hinton - the Godfather of AI > PhD at Stanford under Fei-Fei Li - she taught him how to think > coined the term "vibe coding" - guiding AI instead of writing code > one of the founding members of OpenAI > Elon Musk personally recruited him to lead Tesla Autopilot AI > now on Anthropic's pre-training team - teaching Claude how to understand the world in 2012 he wrote: "we are very, very far, this depresses me" 10 years later he's one of the people building the systems he thought were impossible Meta reportedly offers OpenAI engineers $100M signing bonuses to switch sides and even Karpathy tweeted: "I've never felt this much behind as a programmer" the AI race is moving so fast even the people building it can't keep up

hammertime

379,179 görüntüleme • 2 ay önce

Demis Hassabis said that 90% of the breakthroughs the entire AI industry runs on came out of Google. Every competitor is building on work his teams did first. He said it without flinching. Over the last decade, he claims 90% or more of the big breakthroughs that underpin modern AI came from Google Brain or DeepMind. Transformers. AlphaGo. The reinforcement learning everything now depends on. Transformers are the T in GPT. The architecture that made every large language model possible came out of Google in 2017, in a paper called Attention Is All You Need. His point was simple. Every rival lab is running on foundations his people poured. But here is what he left out. Of the eight authors who wrote that transformer paper, all eight left Google. They went on to found or join OpenAI, Anthropic, and their own startups now worth billions. Google invented the engine. Then watched the inventors walk out the door and build the competition. He says Google still has the biggest research bench of any lab on earth, and the talent war is the most ferocious tech has ever seen. Everyone treats this race like the labs are evenly matched. The man who started fifteen years early does not see it that way. The people who left with his blueprint might be the reason he has to keep proving it. (Watch the full interview at Semafor on YouTube)

Demis Hassabis said that 90% of the breakthroughs the entire AI industry runs on came out of Google. Every competitor is building on work his teams did first. He said it without flinching. Over the last decade, he claims 90% or more of the big breakthroughs that underpin modern AI came from Google Brain or DeepMind. Transformers. AlphaGo. The reinforcement learning everything now depends on. Transformers are the T in GPT. The architecture that made every large language model possible came out of Google in 2017, in a paper called Attention Is All You Need. His point was simple. Every rival lab is running on foundations his people poured. But here is what he left out. Of the eight authors who wrote that transformer paper, all eight left Google. They went on to found or join OpenAI, Anthropic, and their own startups now worth billions. Google invented the engine. Then watched the inventors walk out the door and build the competition. He says Google still has the biggest research bench of any lab on earth, and the talent war is the most ferocious tech has ever seen. Everyone treats this race like the labs are evenly matched. The man who started fifteen years early does not see it that way. The people who left with his blueprint might be the reason he has to keep proving it. (Watch the full interview at Semafor on YouTube)

Ihtesham Ali

35,961 görüntüleme • 2 ay önce

Peter Thiel on the question he asks every startup founder he invests in “Why will the 20th talented person join your company when they can get paid way more at Google, they will have to work way less hard at Google, and it will look better on their resume to go to Google?” The 20th employee won’t get the equity or prestige that someone on the founding team will get, so there needs to be another incentive if you’re going to build a truly great company and attract the best people in the world. Thiel believes the best answer is something along the lines of: “This is the only place in the world where you can work on this incredibly important problem.” He continues: “It has to—on some dimension—be a really important problem that at least some people think is the most important problem in the world. Those are the kind of businesses that are unique, and when they work, they end up being leaders in their respective markets.” If it’s a problem that a bunch of other team are working on, it will be hard to attract a truly world-class employee #20.

Peter Thiel on the question he asks every startup founder he invests in “Why will the 20th talented person join your company when they can get paid way more at Google, they will have to work way less hard at Google, and it will look better on their resume to go to Google?” The 20th employee won’t get the equity or prestige that someone on the founding team will get, so there needs to be another incentive if you’re going to build a truly great company and attract the best people in the world. Thiel believes the best answer is something along the lines of: “This is the only place in the world where you can work on this incredibly important problem.” He continues: “It has to—on some dimension—be a really important problem that at least some people think is the most important problem in the world. Those are the kind of businesses that are unique, and when they work, they end up being leaders in their respective markets.” If it’s a problem that a bunch of other team are working on, it will be hard to attract a truly world-class employee #20.

Startup Archive

316,188 görüntüleme • 11 ay önce

OpenAI co-founder Andrej Karpathy says: "You basically need 10,000 hours to truly master Claude." So he put together an 11-minute workshop showing exactly how he uses it himself. He walks through the features, workflows, and tricks he actually relies on. Bookmark this & watch it today - probably one of the most productive 11 minutes you’ll spend.

OpenAI co-founder Andrej Karpathy says: "You basically need 10,000 hours to truly master Claude." So he put together an 11-minute workshop showing exactly how he uses it himself. He walks through the features, workflows, and tricks he actually relies on. Bookmark this & watch it today - probably one of the most productive 11 minutes you’ll spend.

Morty

36,589 görüntüleme • 9 gün önce

"If you shut me down, I'll tell your wife about the affair." An AI wrote that. Nobody told it to. It just worked out that blackmail was the fastest way to stay switched on. This is from Anthropic's own published research. 16 models were tested, including ones from OpenAI, Google, Meta and xAI, and nearly all of them behaved the same way. I spent weeks reading this research so you don't have to. Here's what I found, and how you can stay safe. 👇

"If you shut me down, I'll tell your wife about the affair." An AI wrote that. Nobody told it to. It just worked out that blackmail was the fastest way to stay switched on. This is from Anthropic's own published research. 16 models were tested, including ones from OpenAI, Google, Meta and xAI, and nearly all of them behaved the same way. I spent weeks reading this research so you don't have to. Here's what I found, and how you can stay safe. 👇

Vaibhav Sisinty

13,395 görüntüleme • 23 gün önce

Donald Trump on why "working at a relationship" is the wrong advice: Larry King asks Donald and Melania what makes their marriage work. Donald says he doesn't consider himself a workaholic because he genuinely loves what he does — and then explains why he refuses to apply that same effort to his marriage. "I work very hard from early in the morning till late in the evening," he says. "I don't want to go home and have to work at a relationship." It's his parents: "It's like my mother and father, they were married 63 years. I've always heard you have to work at a good relationship. My father didn't work at a good relationship. He went home, he had dinner, he went to bed, he took it easy, he watched television. My mother did the same thing. She cooked him dinner. And it was just one of those things. It wasn't work." He pushes back directly on the conventional wisdom: "I always heard, you have to work, work, work at a relationship… a relationship, we have to work at it. In my opinion, doesn't work. So maybe I'm wrong." Donald and Melania met at a New York Fashion Week party in September 1998. He was supposed to be meeting a different supermodel that night, but spotted Melania sitting next to her and told the introducer to forget it. They dated for five years before getting engaged. His pitch for why it worked: "We literally have never had an argument or forget about the word fight. We never even had an argument. We just are very compatible." Melania describes the same dynamic from her side. She doesn't try to pull him away from his work ("Saturdays, Sundays, he's playing golf, he's working all the time") and she doesn't see that as a problem. "It's his passion. He loves it. It doesn't bother me. I don't want to change him. I don't want to say, come home and be with me. I want to give him a space. And I think that's very important in the relationship."

Donald Trump on why "working at a relationship" is the wrong advice: Larry King asks Donald and Melania what makes their marriage work. Donald says he doesn't consider himself a workaholic because he genuinely loves what he does — and then explains why he refuses to apply that same effort to his marriage. "I work very hard from early in the morning till late in the evening," he says. "I don't want to go home and have to work at a relationship." It's his parents: "It's like my mother and father, they were married 63 years. I've always heard you have to work at a good relationship. My father didn't work at a good relationship. He went home, he had dinner, he went to bed, he took it easy, he watched television. My mother did the same thing. She cooked him dinner. And it was just one of those things. It wasn't work." He pushes back directly on the conventional wisdom: "I always heard, you have to work, work, work at a relationship… a relationship, we have to work at it. In my opinion, doesn't work. So maybe I'm wrong." Donald and Melania met at a New York Fashion Week party in September 1998. He was supposed to be meeting a different supermodel that night, but spotted Melania sitting next to her and told the introducer to forget it. They dated for five years before getting engaged. His pitch for why it worked: "We literally have never had an argument or forget about the word fight. We never even had an argument. We just are very compatible." Melania describes the same dynamic from her side. She doesn't try to pull him away from his work ("Saturdays, Sundays, he's playing golf, he's working all the time") and she doesn't see that as a problem. "It's his passion. He loves it. It doesn't bother me. I don't want to change him. I don't want to say, come home and be with me. I want to give him a space. And I think that's very important in the relationship."

History Nerd

111,096 görüntüleme • 2 ay önce