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Now your AI agents can do customer research by using simulated humans that are based on real humans. In other words, a new way of building your business is here. Rehearsals cofounder Liam Bolling gives me one of the most interesting conversations about the future of business that I've... show more

Robert Scoble

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14,355 次观看 • 5 个月前 •via X (Twitter)

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Corporations that are purely AI and robotics will vastly outperform any corporations that have people in the loop You can think of it like how 'computer' used to be a job that humans had. You would go and get a job as a computer where you would do calculations. They had entire skyscrapers full of humans....20, 30 floors of humans...just doing calculations. Now, that entire skyscraper of humans doing calculations can be replaced by a laptop with a spreadsheet. That spreadsheet can do vastly more calculations than an entire building full of human computers So, you think about it: what if only some of the cells in your spreadsheet were calculated by humans? That would be much worse than if all of the cells in your spreadsheet were calculated by the computer. And so, really what will happen is the pure AI, pure robotics corporations or collectives will far outperform any corporations that have humans in the loop. It will happen very quickly

Corporations that are purely AI and robotics will vastly outperform any corporations that have people in the loop You can think of it like how 'computer' used to be a job that humans had. You would go and get a job as a computer where you would do calculations. They had entire skyscrapers full of humans....20, 30 floors of humans...just doing calculations. Now, that entire skyscraper of humans doing calculations can be replaced by a laptop with a spreadsheet. That spreadsheet can do vastly more calculations than an entire building full of human computers So, you think about it: what if only some of the cells in your spreadsheet were calculated by humans? That would be much worse than if all of the cells in your spreadsheet were calculated by the computer. And so, really what will happen is the pure AI, pure robotics corporations or collectives will far outperform any corporations that have humans in the loop. It will happen very quickly

X Freeze

16,842,983 次观看 • 5 个月前

A little sneak peak at what I am building with Brayden Levangie using the X API. A new kind of personalized X is now possible. And it comes with many side benefits I haven’t yet shown here. Like feeds for your OpenClaw🦞 And reports that go way being what you can make with AIs that aren’t cognitive architectures. This is how I keep up now on the AI industry here on X. Looking for help to turn this into a business. Sponsors and customers who need much better reports on what is happening right now. What do you wish this effort would show you? By the way. I did ask this without writing a line of code. Brayden’s agents did it all.

A little sneak peak at what I am building with Brayden Levangie using the X API. A new kind of personalized X is now possible. And it comes with many side benefits I haven’t yet shown here. Like feeds for your OpenClaw🦞 And reports that go way being what you can make with AIs that aren’t cognitive architectures. This is how I keep up now on the AI industry here on X. Looking for help to turn this into a business. Sponsors and customers who need much better reports on what is happening right now. What do you wish this effort would show you? By the way. I did ask this without writing a line of code. Brayden’s agents did it all.

Robert Scoble

67,641 次观看 • 4 个月前

Elon Musk explains why fully autonomous businesses will win “Some of this is going to sound kind of doomerish, but corporations that are purely AI robotics will vastly outperform any corporations that have people in the loop” “Like computer used to be a job that humans had and they’d have like entire skyscrapers full of humans just doing calculations. Now that entire skyscraper of humans doing calculations can be replaced by a laptop with a spreadsheet” “That spreadsheet can do vastly more calculations than an entire building full of human computers. So you can think about, okay, well what if only some of the cells in your spreadsheet were calculated by humans? That would be much worse than if all the cells in your spreadsheet were calculated by the computer” “Really what will happen is the pure AI, pure robotics corporations or collectives will far outperform any corporations that have humans in the loop and this will happen very quickly”

Elon Musk explains why fully autonomous businesses will win “Some of this is going to sound kind of doomerish, but corporations that are purely AI robotics will vastly outperform any corporations that have people in the loop” “Like computer used to be a job that humans had and they’d have like entire skyscrapers full of humans just doing calculations. Now that entire skyscraper of humans doing calculations can be replaced by a laptop with a spreadsheet” “That spreadsheet can do vastly more calculations than an entire building full of human computers. So you can think about, okay, well what if only some of the cells in your spreadsheet were calculated by humans? That would be much worse than if all the cells in your spreadsheet were calculated by the computer” “Really what will happen is the pure AI, pure robotics corporations or collectives will far outperform any corporations that have humans in the loop and this will happen very quickly”

Jack

61,457 次观看 • 4 个月前

Elon Musk on the importance of establishing the right values in AGI: “I don't think anyone's ultimately going to have control over digital superintelligence any more than, say, a chimp would have control over humans. Like chimps don't have control over humans. There's nothing they could do. But I do think that it matters how you build the AI and what kind of values you instill in the AI. And my opinion on AI safety is, the most important thing is that it be maximally truth-seeking, like that you don't force the AI to believe things that are false.”

Elon Musk on the importance of establishing the right values in AGI: “I don't think anyone's ultimately going to have control over digital superintelligence any more than, say, a chimp would have control over humans. Like chimps don't have control over humans. There's nothing they could do. But I do think that it matters how you build the AI and what kind of values you instill in the AI. And my opinion on AI safety is, the most important thing is that it be maximally truth-seeking, like that you don't force the AI to believe things that are false.”

Eva Fo𝕏 🦊 Claudius Nero's Legion

1,010,780 次观看 • 8 个月前

How is the Web changing due to AI? This visit to TinyFish yesterday goes deeply into just how. TinyFish makes a new kind of web browser. One that is started virtually. It is like a Google Chrome in the cloud. But it is very smart, can read and use any website, and your AI agents can talk to it. Here we talk about what it all means for business and the future of robots, brain computer interfaces, and AI glasses. It lets you build systems that can look at MANY websites at the same time and build new kinds of apps to do all sorts of new things.

How is the Web changing due to AI? This visit to TinyFish yesterday goes deeply into just how. TinyFish makes a new kind of web browser. One that is started virtually. It is like a Google Chrome in the cloud. But it is very smart, can read and use any website, and your AI agents can talk to it. Here we talk about what it all means for business and the future of robots, brain computer interfaces, and AI glasses. It lets you build systems that can look at MANY websites at the same time and build new kinds of apps to do all sorts of new things.

Robert Scoble

16,341 次观看 • 7 个月前

🧠David Friedberg explains the great hope of Artificial Superintelligence: Massive leverage on time to solve thousand-year problems "I don't think that humans are limited in our ability to solve problems." "I think we're limited in terms of time, and what digital intelligence gives us is leverage on time so that we can now tackle ever more complex tasks." "This idea of superintelligence is that it could give us immense leverage in solving that complex problem that we otherwise may be challenged to solve over decades, or hundreds of years, or think about one day solving a problem that would take humans thousands of years to solve." "So if I as a human said, 'I would like to harness fusion power similar to what the sun uses to make energy, and I wanna do that on Earth,' today, we're in, call it year 40 or 50 of a research cycle of humans trying to solve that particularly complex problem." "It's a scientific problem, it's a discovery problem, it's an engineering problem." "Functionally, leveraging to complexity is where this becomes super compelling for humans." "And it's why I think we can and should be highly optimistic about living very long lives, and traveling anywhere we want, and having abundance in food, and having abundance in resources, and having abundance in recouping our time to do the things we want to do instead of the things that we have to do today."

🧠David Friedberg explains the great hope of Artificial Superintelligence: Massive leverage on time to solve thousand-year problems "I don't think that humans are limited in our ability to solve problems." "I think we're limited in terms of time, and what digital intelligence gives us is leverage on time so that we can now tackle ever more complex tasks." "This idea of superintelligence is that it could give us immense leverage in solving that complex problem that we otherwise may be challenged to solve over decades, or hundreds of years, or think about one day solving a problem that would take humans thousands of years to solve." "So if I as a human said, 'I would like to harness fusion power similar to what the sun uses to make energy, and I wanna do that on Earth,' today, we're in, call it year 40 or 50 of a research cycle of humans trying to solve that particularly complex problem." "It's a scientific problem, it's a discovery problem, it's an engineering problem." "Functionally, leveraging to complexity is where this becomes super compelling for humans." "And it's why I think we can and should be highly optimistic about living very long lives, and traveling anywhere we want, and having abundance in food, and having abundance in resources, and having abundance in recouping our time to do the things we want to do instead of the things that we have to do today."

The All-In Podcast

53,187 次观看 • 1 年前

AI is changing everything about business. In my latest interview, I sat down with AJ Orbach 🐳 AJ Orbach, co-founder of Triple Whale, who’s building what might be the most advanced AI business agent on the planet. We talked: 1. How AI agents are replacing dashboards 2. Why most businesses are sitting on goldmines of data they’re not using 3. The rise of autonomous companies (yes, for real) 4. Why tomorrow’s CEO will be more like a chief QA officer for AI 5. And how one couple scaled a business from $400K to $4M without hiring anyone If you want a glimpse into the real future of work — this is it. 🎧 Watch or listen here:

AI is changing everything about business. In my latest interview, I sat down with AJ Orbach 🐳 AJ Orbach, co-founder of Triple Whale, who’s building what might be the most advanced AI business agent on the planet. We talked: 1. How AI agents are replacing dashboards 2. Why most businesses are sitting on goldmines of data they’re not using 3. The rise of autonomous companies (yes, for real) 4. Why tomorrow’s CEO will be more like a chief QA officer for AI 5. And how one couple scaled a business from $400K to $4M without hiring anyone If you want a glimpse into the real future of work — this is it. 🎧 Watch or listen here:

Robert Scoble

17,304 次观看 • 1 年前

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"

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 • 1 个月前

So now that John has made these attached comments......I personally HAVE EVER only knew of ONE United Cajun Navy !!! I have never known there to be a OTHER UNITED CAJUN NAVY!!!! So.....DO YOUR OWN RESEARCH..........BUT I stand by my comment.......THE REAL UNITED CAJUN NAVY are DAMN GOOD PEOPLE!!!

So now that John has made these attached comments......I personally HAVE EVER only knew of ONE United Cajun Navy !!! I have never known there to be a OTHER UNITED CAJUN NAVY!!!! So.....DO YOUR OWN RESEARCH..........BUT I stand by my comment.......THE REAL UNITED CAJUN NAVY are DAMN GOOD PEOPLE!!!

Capt KEVman!!!

31,446 次观看 • 4 个月前

"H5N1, historically, is very poorly transmissible in humans…The fear is, of course, that H5N1 would evolve in some way, it would be selected—or somebody would engineer it—to make it more infectious in humans." Robert W Malone, MD Researchers over a decade ago indeed conducted gain-of-function research on H5N1 and found four specific mutations that could make it more infectious in humans. And they published the details. It was controversial. And it contributed to the Obama White House pausing funding for gain of function research.

"H5N1, historically, is very poorly transmissible in humans…The fear is, of course, that H5N1 would evolve in some way, it would be selected—or somebody would engineer it—to make it more infectious in humans." Robert W Malone, MD Researchers over a decade ago indeed conducted gain-of-function research on H5N1 and found four specific mutations that could make it more infectious in humans. And they published the details. It was controversial. And it contributed to the Obama White House pausing funding for gain of function research.

Jan Jekielek

47,024 次观看 • 2 年前

Peter Daszak argues the research at the Wuhan Institute of Virology did not constitute gain-of-function research. Why? Because it fell outside of the 2017 HHS P3CO Framework on gain-of-function research, which only applied to enhancing potential pandemic pathogens—i.e. things that were likely highly virulent in humans already. So the argument is: the research at WIV did not fit the definition of "enhanced pathogens of pandemic potential" because the bat coronaviruses studied there had not been shown to infect humans. So in other words, under this 2017 HHS P3CO Framework, altering a virus that's not infectious in humans to make it highly infectious in humans DID NOT constitute gain-of-function research. Mind-boggling.

Peter Daszak argues the research at the Wuhan Institute of Virology did not constitute gain-of-function research. Why? Because it fell outside of the 2017 HHS P3CO Framework on gain-of-function research, which only applied to enhancing potential pandemic pathogens—i.e. things that were likely highly virulent in humans already. So the argument is: the research at WIV did not fit the definition of "enhanced pathogens of pandemic potential" because the bat coronaviruses studied there had not been shown to infect humans. So in other words, under this 2017 HHS P3CO Framework, altering a virus that's not infectious in humans to make it highly infectious in humans DID NOT constitute gain-of-function research. Mind-boggling.

Jan Jekielek

33,565 次观看 • 2 年前

🚨NEW: Scott Adams "BLOWN AWAY" by Trump's "SMART" branding of America as "BEST PLACE TO DO BUSINESS" during Asia trip speech🇺🇸 "That is the smartest thing you'll ever see for the U.S. — because the contrast is that it's dangerous to do business in China." "That would be worth the whole trip — that reframe of America as the best place to do business in the context of all of us knowing that China is the worst place to do business." "This is one of the strongest, best plays you'll ever see an American president do."

🚨NEW: Scott Adams "BLOWN AWAY" by Trump's "SMART" branding of America as "BEST PLACE TO DO BUSINESS" during Asia trip speech🇺🇸 "That is the smartest thing you'll ever see for the U.S. — because the contrast is that it's dangerous to do business in China." "That would be worth the whole trip — that reframe of America as the best place to do business in the context of all of us knowing that China is the worst place to do business." "This is one of the strongest, best plays you'll ever see an American president do."

Jason Cohen 🇺🇸

111,107 次观看 • 8 个月前

Marc Andreessen explains that America can win the future of manufacturing by building the advanced products of the future in highly automated factories that create well-paying, high-skilled “blue-collar-plus” jobs: “What you have is a large number of jobs, that are, call them ‘blue-collar-plus jobs’, and then also white-collar jobs, and all the associated service jobs around those that are building and maintaining that new kind of plant to build that new kind of thing.” “I think what you can do is you can leap forward on the nature of the product you’re building.” “By the way, if we don’t do that, all of those things are going to get made in China.” “What an amazing story it would be for America in the 21st century, which is we reindustrialize not to build the products of the past but to build the products of the future.” Marc Andreessen 🇺🇸

Marc Andreessen explains that America can win the future of manufacturing by building the advanced products of the future in highly automated factories that create well-paying, high-skilled “blue-collar-plus” jobs: “What you have is a large number of jobs, that are, call them ‘blue-collar-plus jobs’, and then also white-collar jobs, and all the associated service jobs around those that are building and maintaining that new kind of plant to build that new kind of thing.” “I think what you can do is you can leap forward on the nature of the product you’re building.” “By the way, if we don’t do that, all of those things are going to get made in China.” “What an amazing story it would be for America in the 21st century, which is we reindustrialize not to build the products of the past but to build the products of the future.” Marc Andreessen 🇺🇸

a16z

124,115 次观看 • 7 个月前

It is incredible how much I've learned and changed my instruction over the last few years. I have aligned my instruction with the body of research called the science of reading. Here are a few things teachers can say goodbye to in 2023 👋 #sor #knowbetterdobetter #NewYear

It is incredible how much I've learned and changed my instruction over the last few years. I have aligned my instruction with the body of research called the science of reading. Here are a few things teachers can say goodbye to in 2023 👋 #sor #knowbetterdobetter #NewYear

Melanie Brethour

20,613 次观看 • 3 年前

The new company brain. Context is the soul of your company, I learned today. Since I wrote a book, “Age of Context,” years ago I see that context is what we now call our private data. That data should be stored in a way to let AI agents and humans get more and more use out of it. This is precisely what PromptQL does and here Tanmai Gopal goes deep on how it now is a company brain, or, rather, a wiki that everyone updates and uses.

The new company brain. Context is the soul of your company, I learned today. Since I wrote a book, “Age of Context,” years ago I see that context is what we now call our private data. That data should be stored in a way to let AI agents and humans get more and more use out of it. This is precisely what PromptQL does and here Tanmai Gopal goes deep on how it now is a company brain, or, rather, a wiki that everyone updates and uses.

Robert Scoble

18,271 次观看 • 23 天前

Excited to introduce a new project I've been working on called Payman! Payman is an AI Agent tool that gives Agents the ability to pay people for tasks they cannot do themselves. While many people imagine a future where humans pay AI agents for services they want completed, I believe that as AI agents become more advanced, they will be paying humans for tasks they can’t do. There will always be important roles for humans, and as we move towards an agent-driven world, Payman’s goal is to support a symbiotic relationship between AI agents and humans. Payman addresses three major challenges to make this collaboration possible: Access to Funds: AI agents can't open bank accounts due to current regulations. It might be a long time before this changes, if ever. Payman simplifies this by allowing AI agents with access to their own funds to spend as they want, without a bank account. Quality Task Completion: It’s hard for AI agents to find reliable, skilled human workers. While platforms like Fiverr and Upwork exist, they don’t meet the fast-paced and quality-specific needs of AI workflows. Payman is developing the largest vetted database of skilled workers that AI agents can tap into for task completions. Verification of Work: Ensuring that tasks are completed correctly is crucial. Payman is creating a suite of verification agents that will check that work meets task requirements, helping AI agents achieve their goals and ensuring humans are paid fairly. There are tons of use cases that Payman opens up for Agents! Design: Humans add creative input to help Agent's design better products. Code: Humans perform code reviews to ensure it meets specifications. Law: Humans provide insights to gauge public sentiment about legal cases so Agents can make better strategies. Gaming: Agents pay humans to complete real-world tasks in games. Medical: Medical professionals help to improve diagnostic accuracy for Agents. Sales: Humans execute sales strategies developed by AI agents. Marketing: Humans are hired to promote products based on the Agent's strategy. Right now this is still in early beta and I am looking for any Agent builders that are interested in adding superpowers to what their Agent can do! DM me if you’d like access or sign-up to the waitlist at If you’re interested in the project and want to help contribute, please send me over a DM! I’m looking for people passionate about the intersection of Humans and Agent’s working together.

Excited to introduce a new project I've been working on called Payman! Payman is an AI Agent tool that gives Agents the ability to pay people for tasks they cannot do themselves. While many people imagine a future where humans pay AI agents for services they want completed, I believe that as AI agents become more advanced, they will be paying humans for tasks they can’t do. There will always be important roles for humans, and as we move towards an agent-driven world, Payman’s goal is to support a symbiotic relationship between AI agents and humans. Payman addresses three major challenges to make this collaboration possible: Access to Funds: AI agents can't open bank accounts due to current regulations. It might be a long time before this changes, if ever. Payman simplifies this by allowing AI agents with access to their own funds to spend as they want, without a bank account. Quality Task Completion: It’s hard for AI agents to find reliable, skilled human workers. While platforms like Fiverr and Upwork exist, they don’t meet the fast-paced and quality-specific needs of AI workflows. Payman is developing the largest vetted database of skilled workers that AI agents can tap into for task completions. Verification of Work: Ensuring that tasks are completed correctly is crucial. Payman is creating a suite of verification agents that will check that work meets task requirements, helping AI agents achieve their goals and ensuring humans are paid fairly. There are tons of use cases that Payman opens up for Agents! Design: Humans add creative input to help Agent's design better products. Code: Humans perform code reviews to ensure it meets specifications. Law: Humans provide insights to gauge public sentiment about legal cases so Agents can make better strategies. Gaming: Agents pay humans to complete real-world tasks in games. Medical: Medical professionals help to improve diagnostic accuracy for Agents. Sales: Humans execute sales strategies developed by AI agents. Marketing: Humans are hired to promote products based on the Agent's strategy. Right now this is still in early beta and I am looking for any Agent builders that are interested in adding superpowers to what their Agent can do! DM me if you’d like access or sign-up to the waitlist at If you’re interested in the project and want to help contribute, please send me over a DM! I’m looking for people passionate about the intersection of Humans and Agent’s working together.

tyllen

350,885 次观看 • 2 年前

How many AI agents work at your company? We now have over 3,258 agents working alongside 1,300 humans. The crazy part is these agents were created by EVERY EMPLOYEE at our company... sales reps, marketers, customer support, product, eng. Literally EVERYONE. BUT I'm most surprised by the adoption and value that MANAGERS are getting from agents. I used to think that every IC would become a manager of agents. Now I think that managers will very likely manage WAY more agents than their ICs combined. And managers' agents will manage their ICs' agents - overseeing them for human-in-the-loop interactions. When creating agents, we use 100% context from all of your activity, files edited, tasks and projects worked on, hierarchy, skills, and role information. We build a user-based context model to make agents as relatable as possible to the specific human that we're building for. This means they truly understand the nuances of the work and what "great" looks like - because great is very much in the eye of the beholder. Great is by definition, subjective. This is also why the human ENGAGEMENT loops are SO vital to agent value. The iteration AFTER the agent is onboarded is where the MAGIC happens. This is just like a manager managing an IC in real life... you're giving feedback. In this case, though, agents learn INSTANTLY, and they retain the knowledge perfectly and indefinitely. Even though I've been pushing AI for years now to everyone in our company, this was the first time we had truly end-to-end AI adoption and retention. This kind of AI adoption is wild. But the value we're realizing is truly INSANE. Super Agents outnumber our humans nearly 3 to 1. What if you could 3X your workforce overnight? Watch this video to see how 👇

How many AI agents work at your company? We now have over 3,258 agents working alongside 1,300 humans. The crazy part is these agents were created by EVERY EMPLOYEE at our company... sales reps, marketers, customer support, product, eng. Literally EVERYONE. BUT I'm most surprised by the adoption and value that MANAGERS are getting from agents. I used to think that every IC would become a manager of agents. Now I think that managers will very likely manage WAY more agents than their ICs combined. And managers' agents will manage their ICs' agents - overseeing them for human-in-the-loop interactions. When creating agents, we use 100% context from all of your activity, files edited, tasks and projects worked on, hierarchy, skills, and role information. We build a user-based context model to make agents as relatable as possible to the specific human that we're building for. This means they truly understand the nuances of the work and what "great" looks like - because great is very much in the eye of the beholder. Great is by definition, subjective. This is also why the human ENGAGEMENT loops are SO vital to agent value. The iteration AFTER the agent is onboarded is where the MAGIC happens. This is just like a manager managing an IC in real life... you're giving feedback. In this case, though, agents learn INSTANTLY, and they retain the knowledge perfectly and indefinitely. Even though I've been pushing AI for years now to everyone in our company, this was the first time we had truly end-to-end AI adoption and retention. This kind of AI adoption is wild. But the value we're realizing is truly INSANE. Super Agents outnumber our humans nearly 3 to 1. What if you could 3X your workforce overnight? Watch this video to see how 👇

Zeb Evans

425,244 次观看 • 5 个月前

Jensen Huang on how the first 6 months of NVIDIA was just three guys talking about lunch: "We met every day, the three of us, in one of the founders' townhouse in Fremont and we would get together and there would be nothing to do. What do you do? Three guys get together, you just talk. So what did you guys do last night? What did you have for dinner? We talked about that for about six months." Jensen was 30 years old. Never taken a business class. Never taken a marketing class. As he puts it: "The big event of the day would be—hey, where do you guys want to go for lunch? Philly cheese steak today or Chinese food tomorrow. That would be like a big deal. And then after a while it was like could you put some donuts in the fridge in the morning for when we come. That would be a big deal for a while. That lasted for a few months, just the three of us like that." He continues: "I know it sounds pathetic but it's true. At that time I'm reading books on how to start companies and I'm trying to figure out how to go raise money and what's a venture capitalist and how do you incorporate the company." On incorporating NVIDIA: "I met a lawyer and he says we need some money from you so we could price the shares. He says how much money do you have in your pocket? I said $200. So he says okay give me $200. For $200 I bought 20% of NVIDIA." On the business plan: "I never finished my business plan. We never finished a business plan. Never could figure out how to finish a business plan to tell you the truth. If I would have finished that book and read the whole thing, I would have been dead now. We would have run out of money, ran out of time." What VCs actually invest in: "VCs don't invest in business plans because business plans are easy to write. They invest in great people. The question is—do they trust you? Your reputation matters, your history matters. Your reputation will precede you even if your business plan writing skills are inadequate." Great companies start with great people, not great plans.

Jensen Huang on how the first 6 months of NVIDIA was just three guys talking about lunch: "We met every day, the three of us, in one of the founders' townhouse in Fremont and we would get together and there would be nothing to do. What do you do? Three guys get together, you just talk. So what did you guys do last night? What did you have for dinner? We talked about that for about six months." Jensen was 30 years old. Never taken a business class. Never taken a marketing class. As he puts it: "The big event of the day would be—hey, where do you guys want to go for lunch? Philly cheese steak today or Chinese food tomorrow. That would be like a big deal. And then after a while it was like could you put some donuts in the fridge in the morning for when we come. That would be a big deal for a while. That lasted for a few months, just the three of us like that." He continues: "I know it sounds pathetic but it's true. At that time I'm reading books on how to start companies and I'm trying to figure out how to go raise money and what's a venture capitalist and how do you incorporate the company." On incorporating NVIDIA: "I met a lawyer and he says we need some money from you so we could price the shares. He says how much money do you have in your pocket? I said $200. So he says okay give me $200. For $200 I bought 20% of NVIDIA." On the business plan: "I never finished my business plan. We never finished a business plan. Never could figure out how to finish a business plan to tell you the truth. If I would have finished that book and read the whole thing, I would have been dead now. We would have run out of money, ran out of time." What VCs actually invest in: "VCs don't invest in business plans because business plans are easy to write. They invest in great people. The question is—do they trust you? Your reputation matters, your history matters. Your reputation will precede you even if your business plan writing skills are inadequate." Great companies start with great people, not great plans.

Jaynit

83,373 次观看 • 6 个月前