Загрузка видео...

Не удалось загрузить видео

Возникла проблема при загрузке этого видео. Это может быть связано с временными проблемами сети или видео может быть недоступно.

На главную

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"show more

Jaynit

56,912 subscribers

196,612 просмотров • 2 месяцев назад •via X (Twitter)

Новости и политика Наука и технологии

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Mark Cuban says there will only be two types of companies in 3 years "If the CEO doesn't understand that, he's not going to be CEO very long, you tell me so I can start a company to kick their ass" "When it's all said and done over the next three years, there's going to be two types of companies: those who are great at AI and those who went out of business"

Mark Cuban says there will only be two types of companies in 3 years "If the CEO doesn't understand that, he's not going to be CEO very long, you tell me so I can start a company to kick their ass" "When it's all said and done over the next three years, there's going to be two types of companies: those who are great at AI and those who went out of business"

katsu

68,301 просмотров • 2 месяцев назад

From the archive: Brian Armstrong on AI trading bots "We're going to get AI agents that can be your registered investment advisors." "Imagine you are in the Coinbase 🛡️ app and you tell them: I want to put in $10,000, go make me money." "It may make mistakes and there's a lot of details to figure out, but I think having a trading bot do a lot of that for you (is very cool)."

From the archive: Brian Armstrong on AI trading bots "We're going to get AI agents that can be your registered investment advisors." "Imagine you are in the Coinbase 🛡️ app and you tell them: I want to put in $10,000, go make me money." "It may make mistakes and there's a lot of details to figure out, but I think having a trading bot do a lot of that for you (is very cool)."

TBPN

66,220 просмотров • 1 год назад

Mark Cuban said what every CEO in America needs to hear. "There are only two types of companies in this world, those who are great at AI, and everybody else. If you don't know AI, you are going to fail. Period, end of story." Mark Cuban didn't stop there. "Whether you are an employee, you're going to have to understand how AI impacts your job and how you can use it to be better at your job. Same if you're a student. And if you're a CEO, you can't just say, okay, I'm going to get my tech guys to understand it and educate me on it. You have to understand it yourself because it will have significant impact on every single thing that you do. There's no avoiding it." This is coming from someone who built and sold the Dallas Mavericks, who made his first fortune selling a company to Yahoo for $5.7 billion in 1999, and who has spent the last two years going deeper on AI than almost any investor his age. He is describing the Innovator's AI Dilemma, entrepreneurs are right now building AI-native companies designed to displace every major incumbent. If a CEO tears down their company to rebuild it AI native, investors revolt but if they do nothing, AI-native startups eat their market and investors revolt anyway. Either path leads to shareholder lawsuits and there is no comfortable middle. The companies that survive will be the ones where leadership, not just the tech team, genuinely understands what the technology can do. The ones that don't will look back at this moment the same way Blockbuster looks at 2005.

Mark Cuban said what every CEO in America needs to hear. "There are only two types of companies in this world, those who are great at AI, and everybody else. If you don't know AI, you are going to fail. Period, end of story." Mark Cuban didn't stop there. "Whether you are an employee, you're going to have to understand how AI impacts your job and how you can use it to be better at your job. Same if you're a student. And if you're a CEO, you can't just say, okay, I'm going to get my tech guys to understand it and educate me on it. You have to understand it yourself because it will have significant impact on every single thing that you do. There's no avoiding it." This is coming from someone who built and sold the Dallas Mavericks, who made his first fortune selling a company to Yahoo for $5.7 billion in 1999, and who has spent the last two years going deeper on AI than almost any investor his age. He is describing the Innovator's AI Dilemma, entrepreneurs are right now building AI-native companies designed to displace every major incumbent. If a CEO tears down their company to rebuild it AI native, investors revolt but if they do nothing, AI-native startups eat their market and investors revolt anyway. Either path leads to shareholder lawsuits and there is no comfortable middle. The companies that survive will be the ones where leadership, not just the tech team, genuinely understands what the technology can do. The ones that don't will look back at this moment the same way Blockbuster looks at 2005.

StockMarket.News

163,125 просмотров • 2 месяцев назад

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

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

Rohan Paul

16,584 просмотров • 1 месяц назад

Gokul explains why outcome-based software companies like Zendesk are more exposed to AI than systems of record like NetSuite, and why public markets are not distinguishing between the two. He argues that the only way AI-native startups can disrupt systems of record is by spending 1-2 years building migration tools to get data off of incumbent platforms. "The software companies that should be the most worried right now is where they are pricing the product based on utility. Zendesk is a good example. Instead of paying for 50 Zendesk seats, you can pay for 20 and I can have 30 AI agents sitting next to Zendesk. For these companies you need to change your pricing model to be based on outcome. It's going to be hard for them to stay public. The companies that are less exposed are ones based on data that has been collected and captured over a period of time. ERP is a great example. There is no compelling reason for someone to put their career at stake by ripping out NetSuite. NetSuite has more time to build AI agents on top of it because they have the data, they can train the AI agent on top of it and bundle it. I think the public markets do not distinguish between these two types of companies."

Gokul explains why outcome-based software companies like Zendesk are more exposed to AI than systems of record like NetSuite, and why public markets are not distinguishing between the two. He argues that the only way AI-native startups can disrupt systems of record is by spending 1-2 years building migration tools to get data off of incumbent platforms. "The software companies that should be the most worried right now is where they are pricing the product based on utility. Zendesk is a good example. Instead of paying for 50 Zendesk seats, you can pay for 20 and I can have 30 AI agents sitting next to Zendesk. For these companies you need to change your pricing model to be based on outcome. It's going to be hard for them to stay public. The companies that are less exposed are ones based on data that has been collected and captured over a period of time. ERP is a great example. There is no compelling reason for someone to put their career at stake by ripping out NetSuite. NetSuite has more time to build AI agents on top of it because they have the data, they can train the AI agent on top of it and bundle it. I think the public markets do not distinguish between these two types of companies."

Patrick OShaughnessy

393,533 просмотров • 5 месяцев назад

MARK CUBAN: “We're building these data centers and if there's a price performance curve on AI that minimizes the power requirements, there's going to be a lot of data centers that are going to be turned into pickleball courts.”

MARK CUBAN: “We're building these data centers and if there's a price performance curve on AI that minimizes the power requirements, there's going to be a lot of data centers that are going to be turned into pickleball courts.”

Chief Nerd

57,550 просмотров • 3 дней назад

Sierra Co-Founder Bret Taylor predicts that within 3-4 years consumers will prefer businesses with AI phone agents over those that rely on traditional call centers. "If I have to call a restaurant to make a reservation, I'm going to a different place. If you don't have OpenTable or Resy, I'm out." "I think we're going to get to the point where people demand an AI because they're not going to want to wait on hold. We're not 100% there and we're just paying down the debt of bad tech that we've had for the past 10 years. But I'm hopeful that in three or four years, this will be the norm." "The problem was we had 10 to 15 years of bots that were really bad. If you were talking to an AI more than three years ago, it sucked. Now you can talk to an AI, and it's conversational, it's multilingual, it has access to systems. The AI agents of today are like the horse and carriage versus a flying car." From his appearance on the show earlier this month.

Sierra Co-Founder Bret Taylor predicts that within 3-4 years consumers will prefer businesses with AI phone agents over those that rely on traditional call centers. "If I have to call a restaurant to make a reservation, I'm going to a different place. If you don't have OpenTable or Resy, I'm out." "I think we're going to get to the point where people demand an AI because they're not going to want to wait on hold. We're not 100% there and we're just paying down the debt of bad tech that we've had for the past 10 years. But I'm hopeful that in three or four years, this will be the norm." "The problem was we had 10 to 15 years of bots that were really bad. If you were talking to an AI more than three years ago, it sucked. Now you can talk to an AI, and it's conversational, it's multilingual, it has access to systems. The AI agents of today are like the horse and carriage versus a flying car." From his appearance on the show earlier this month.

TBPN

78,161 просмотров • 1 месяц назад

Jensen talked about this at GTC Taipei: "A lot of people said ‘You know Jensen, AI is coming therefore all of the software companies are going out of business.’ It is exactly the opposite because there are so many agents. The world is longer limited by the number of people and those agents will use more [software] tools than ever before. This is actually an incredible time to be a software company.”

Jensen talked about this at GTC Taipei: "A lot of people said ‘You know Jensen, AI is coming therefore all of the software companies are going out of business.’ It is exactly the opposite because there are so many agents. The world is longer limited by the number of people and those agents will use more [software] tools than ever before. This is actually an incredible time to be a software company.”

Trung Phan

31,139 просмотров • 1 месяц назад

Mark Cuban watching AI repeat the exact same pattern as dot com bubble: "if there's a price performance curve on AI that minimizes the power requirements there's going to be a lot of data centers that are going to be turned into pickleball courts" this is him explaining why he thinks most VCs and funds are about to get wiped out, why CEOs have no idea what's coming, and what the dot-com bubble taught him about what happens when everyone prices to perfection "it's not the traditional dot-com bubble - but it could just destroy a lot of VCs and a lot of funds and a lot of PE - because they're going all in" "CEOs have no clue what is going on with AI - none whatsoever - and that's not going to change" "every single business plan ever written in the history of business plans is wrong" bookmark & watch the full conversation ↓

Mark Cuban watching AI repeat the exact same pattern as dot com bubble: "if there's a price performance curve on AI that minimizes the power requirements there's going to be a lot of data centers that are going to be turned into pickleball courts" this is him explaining why he thinks most VCs and funds are about to get wiped out, why CEOs have no idea what's coming, and what the dot-com bubble taught him about what happens when everyone prices to perfection "it's not the traditional dot-com bubble - but it could just destroy a lot of VCs and a lot of funds and a lot of PE - because they're going all in" "CEOs have no clue what is going on with AI - none whatsoever - and that's not going to change" "every single business plan ever written in the history of business plans is wrong" bookmark & watch the full conversation ↓

Сarm1ne

684,574 просмотров • 3 дней назад

What does it actually mean to be AI native? There was no clear guide on the internet for how to become AI native so we built the definitive one (60 min masterclass): 1. An AI native org has 3 layers: people for strategy and taste, agents for execution, and a shared context layer that makes the entire company readable to agents. 2. AI eats the middle of your work. You used to spend 80% of your day on execution. Now agents do that. Your job is the bookends: deciding what to do and judging whether it's good enough. 3. Everyone is a manager now. Your output is the output of your agents. If your agents produce garbage, that's on you. You set them up wrong. 4. Using ChatGPT doesn't make you AI native. That's like having a website and calling yourself a tech company lol. 5. No AI native org without AI native people. Most companies skip straight to the tools. That's why it fails. If your people don't understand how to manage agents, the tech doesn't matter. 6. Making your company "readable" to agents is the real work. Every process, every decision, every piece of knowledge needs to exist in a format an agent can consume. Most companies are nowhere close. 7. Speed without signal is just expensive chaos. You need the system to move fast AND know if you're moving in the right direction. 8. The skill chain is how agents get good at your specific workflows. Skills build on skills. The more you invest in them, the more your company compounds. 9. The moat is the system. People managing agents, agents reading from rich context, the whole thing getting smarter every week. That compounds. Your competitor can copy your tools. They can't copy your system. Full episode with Theo Tabah from LCA on The Startup Ideas Podcast (SIP) 🧃. This is the stuff we normally keep internal but all the sauce is yours. Theo Tabah is the brains behind advising the world's biggest companies on AI and building AI products. Your fav CEO's first call for figuring out AI. You are in for a treat Become AI native in under 60 minutes Watch

What does it actually mean to be AI native? There was no clear guide on the internet for how to become AI native so we built the definitive one (60 min masterclass): 1. An AI native org has 3 layers: people for strategy and taste, agents for execution, and a shared context layer that makes the entire company readable to agents. 2. AI eats the middle of your work. You used to spend 80% of your day on execution. Now agents do that. Your job is the bookends: deciding what to do and judging whether it's good enough. 3. Everyone is a manager now. Your output is the output of your agents. If your agents produce garbage, that's on you. You set them up wrong. 4. Using ChatGPT doesn't make you AI native. That's like having a website and calling yourself a tech company lol. 5. No AI native org without AI native people. Most companies skip straight to the tools. That's why it fails. If your people don't understand how to manage agents, the tech doesn't matter. 6. Making your company "readable" to agents is the real work. Every process, every decision, every piece of knowledge needs to exist in a format an agent can consume. Most companies are nowhere close. 7. Speed without signal is just expensive chaos. You need the system to move fast AND know if you're moving in the right direction. 8. The skill chain is how agents get good at your specific workflows. Skills build on skills. The more you invest in them, the more your company compounds. 9. The moat is the system. People managing agents, agents reading from rich context, the whole thing getting smarter every week. That compounds. Your competitor can copy your tools. They can't copy your system. Full episode with Theo Tabah from LCA on The Startup Ideas Podcast (SIP) 🧃. This is the stuff we normally keep internal but all the sauce is yours. Theo Tabah is the brains behind advising the world's biggest companies on AI and building AI products. Your fav CEO's first call for figuring out AI. You are in for a treat Become AI native in under 60 minutes Watch

GREG ISENBERG

84,135 просмотров • 1 месяц назад

Jack Dorsey says the real danger isn't open source AI, it's five CEOS deciding what the world is allowed to build with AI. "These AI companies are building platforms and they're all incentivized around their own particular models. You have to ask them for permission, you have rate limits, and you have all these things. Even what the models spit back are constrained." "What are the technologies where you don't need permission from a company, from a CEO, to work on what you want, to build what you want, to build a business around that? Those are the things that are durable. That's why these open protocols are significant and important." "It limits the potential of really great ideas bringing humanity forward because it's a decision of a group of CEOs that think they know best. They may know best for their company, but they don't know the best for the creativity of the world and what people actually want to do with it." "Fortunately, there's a great movement in open source AI, and DeepSeek was an important moment in this space for exactly that reason to show a different path and to provide something that is not only competitive but better than the models that the corporations are putting out there." "We should not be reliant upon five companies telling us that they know best, and there should not be open source because it's dangerous. No, we should have these things in the open and race towards solutions that stay ahead of all the dangers." PS. If you found value in this post make sure to like and repost this tweet + follow Uncover AI to stay updated with the latest AI news. See you in the next one:

Jack Dorsey says the real danger isn't open source AI, it's five CEOS deciding what the world is allowed to build with AI. "These AI companies are building platforms and they're all incentivized around their own particular models. You have to ask them for permission, you have rate limits, and you have all these things. Even what the models spit back are constrained." "What are the technologies where you don't need permission from a company, from a CEO, to work on what you want, to build what you want, to build a business around that? Those are the things that are durable. That's why these open protocols are significant and important." "It limits the potential of really great ideas bringing humanity forward because it's a decision of a group of CEOs that think they know best. They may know best for their company, but they don't know the best for the creativity of the world and what people actually want to do with it." "Fortunately, there's a great movement in open source AI, and DeepSeek was an important moment in this space for exactly that reason to show a different path and to provide something that is not only competitive but better than the models that the corporations are putting out there." "We should not be reliant upon five companies telling us that they know best, and there should not be open source because it's dangerous. No, we should have these things in the open and race towards solutions that stay ahead of all the dangers." PS. If you found value in this post make sure to like and repost this tweet + follow Uncover AI to stay updated with the latest AI news. See you in the next one:

Uncover AI

36,393 просмотров • 12 дней назад

Jensen Huang just called out every CEO using AI as an excuse to fire people. He says layoffs tied to AI “don’t make any sense” because “AI just arrived.” “The narrative that connects AI to job loss… it is just too lazy.” “AI has just arrived. How is it possible they’re already losing jobs?” “How is it possible that AI became productive and useful only 6 months ago, and they were somehow laying people off two years ago because of AI?” “It doesn’t make any sense. It was just a way for them to sound smart. And I REALLY HATE that.” A recent survey of nearly 6,000 executives found that 89% of companies have seen no measurable productivity gains from AI. Here we have the CEO of the most valuable AI company on earth, NVIDIA, telling you that the layoffs you’re seeing are not about AI. They’re about CEOs who found a convenient story and ran with it. And he hates it.

Jensen Huang just called out every CEO using AI as an excuse to fire people. He says layoffs tied to AI “don’t make any sense” because “AI just arrived.” “The narrative that connects AI to job loss… it is just too lazy.” “AI has just arrived. How is it possible they’re already losing jobs?” “How is it possible that AI became productive and useful only 6 months ago, and they were somehow laying people off two years ago because of AI?” “It doesn’t make any sense. It was just a way for them to sound smart. And I REALLY HATE that.” A recent survey of nearly 6,000 executives found that 89% of companies have seen no measurable productivity gains from AI. Here we have the CEO of the most valuable AI company on earth, NVIDIA, telling you that the layoffs you’re seeing are not about AI. They’re about CEOs who found a convenient story and ran with it. And he hates it.

The Vigilant Fox 🦊

130,886 просмотров • 1 месяц назад

Mark Cuban just told every software company on Earth they’re already dead. The people inside them are still building roadmaps. Cuban: “Software is dead because everything’s going to be customized to your unique utilization.” Every SaaS company was built on one bet. Software stays rigid. Humans stay adaptable. You learn the tool. You bend to it. You pay for someone else’s version of your solution. AI just inverted that. The tool bends to you or it dies. Cuban: “33 million companies aren’t going to have AI budgets, aren’t going to have AI experts.” 33 million businesses feel something shifting beneath them. None can name it. The distance between what AI can do and what small companies can access is the most mispriced gap in markets today. Not a technology problem. A translation problem. Cuban: “Learn all you can about AI but learn more on how to implement them in companies.” Everyone is racing to build intelligence. Almost nobody is racing to deploy it where the pain is deepest. The person who walks into a 40-person company and rewires their entire operation captures more value than the team that trained the model. Understanding pain is now worth more than building intelligence. Cuban: “Every single job available for kids coming out of school because every single company needs that.” The most important career of the next decade has no title. No degree path. No university knows it needs to exist yet. It belongs to whoever learns two languages fluently. The language of a business that can’t articulate what’s breaking. And the language of an AI that doesn’t know where to aim. 33 million companies. Zero translators. Whoever arrives first doesn’t enter a market. They create one.

Mark Cuban just told every software company on Earth they’re already dead. The people inside them are still building roadmaps. Cuban: “Software is dead because everything’s going to be customized to your unique utilization.” Every SaaS company was built on one bet. Software stays rigid. Humans stay adaptable. You learn the tool. You bend to it. You pay for someone else’s version of your solution. AI just inverted that. The tool bends to you or it dies. Cuban: “33 million companies aren’t going to have AI budgets, aren’t going to have AI experts.” 33 million businesses feel something shifting beneath them. None can name it. The distance between what AI can do and what small companies can access is the most mispriced gap in markets today. Not a technology problem. A translation problem. Cuban: “Learn all you can about AI but learn more on how to implement them in companies.” Everyone is racing to build intelligence. Almost nobody is racing to deploy it where the pain is deepest. The person who walks into a 40-person company and rewires their entire operation captures more value than the team that trained the model. Understanding pain is now worth more than building intelligence. Cuban: “Every single job available for kids coming out of school because every single company needs that.” The most important career of the next decade has no title. No degree path. No university knows it needs to exist yet. It belongs to whoever learns two languages fluently. The language of a business that can’t articulate what’s breaking. And the language of an AI that doesn’t know where to aim. 33 million companies. Zero translators. Whoever arrives first doesn’t enter a market. They create one.

Dustin

472,642 просмотров • 17 дней назад

NEW: Introducing Octane AI Agentic Commerce Quizzes - Increase sales with AI. What is it? A sales quiz AI agent that makes 1-1 personalized sales experiences for every single customer. In real time. Powered by our new AI model CORE-1. Examples: 📸 Want to ask your customer to take a selfie and your AI agent automatically recommends them a full outfit from your catalog? Octane AI agents can do that. 🪞 Want to have an AI agent hand pick out each product for a personalized skin care routine? Want them to upload a selfie to detect their skin tone? Octane AI agents can do can that. 📊 Want to create an incredibly detailed report with graphs and tables and graphics thats generated by AI for each customer? Octane AI agents can do that. We give you the building blocks and you can build anything. And you can build it fast because our AI will do the heavy lifting for you. This is v1 and a representation of where our commerce and quiz technology is headed. Available today to everyone at 🆕 What we are launching today: • Smart Quiz Builder: Have an AI agent plan out and build your Octane AI quiz for you. It can even write custom HTML for beautiful results pages and progress bars. • Smart Products: It can take forever to setup the recommendation logic for a quiz. For those of you who need help, simply add smart products to your Octane AI quiz and your very own AI agent will hand-pick products for each customer who takes your quiz. It’s amazing. • Smart Copy: Instead of showing everyone who takes your quiz the exact same copy, use AI to personalize the quiz for every single person who takes it. Explain why these specific products are perfect for specifically them. • Image Analyzer: Let your customers upload or take a photo during the quiz and have AI analyze it. You can use this for anything from skin tone detection to picking out outfits! • Shopping Assistant: An AI agent that lives on your store that can help your customers at the right time. We have been building quiz software for almost 10 years now and AI is enabling us to make quizzes even more powerful. This is just the v1 of what we will be releasing in this area. We are so excited to see what you create with these new agentic products. Get creative, we think you will be surprised at how many interesting experiences you can create with Octane AI now.

NEW: Introducing Octane AI Agentic Commerce Quizzes - Increase sales with AI. What is it? A sales quiz AI agent that makes 1-1 personalized sales experiences for every single customer. In real time. Powered by our new AI model CORE-1. Examples: 📸 Want to ask your customer to take a selfie and your AI agent automatically recommends them a full outfit from your catalog? Octane AI agents can do that. 🪞 Want to have an AI agent hand pick out each product for a personalized skin care routine? Want them to upload a selfie to detect their skin tone? Octane AI agents can do can that. 📊 Want to create an incredibly detailed report with graphs and tables and graphics thats generated by AI for each customer? Octane AI agents can do that. We give you the building blocks and you can build anything. And you can build it fast because our AI will do the heavy lifting for you. This is v1 and a representation of where our commerce and quiz technology is headed. Available today to everyone at 🆕 What we are launching today: • Smart Quiz Builder: Have an AI agent plan out and build your Octane AI quiz for you. It can even write custom HTML for beautiful results pages and progress bars. • Smart Products: It can take forever to setup the recommendation logic for a quiz. For those of you who need help, simply add smart products to your Octane AI quiz and your very own AI agent will hand-pick products for each customer who takes your quiz. It’s amazing. • Smart Copy: Instead of showing everyone who takes your quiz the exact same copy, use AI to personalize the quiz for every single person who takes it. Explain why these specific products are perfect for specifically them. • Image Analyzer: Let your customers upload or take a photo during the quiz and have AI analyze it. You can use this for anything from skin tone detection to picking out outfits! • Shopping Assistant: An AI agent that lives on your store that can help your customers at the right time. We have been building quiz software for almost 10 years now and AI is enabling us to make quizzes even more powerful. This is just the v1 of what we will be releasing in this area. We are so excited to see what you create with these new agentic products. Get creative, we think you will be surprised at how many interesting experiences you can create with Octane AI now.

Matt Schlicht

290,828 просмотров • 8 месяцев назад

Gavin on why it's a mistake for SaaS companies to resist AI because it has a lower margin structure: "When there's a transformative new technology customers are demanding, it's always a mistake not to embrace it. If you're trying to preserve an 80% gross-margin structure, you are guaranteed not to succeed in AI. SaaS companies are making the exact same mistake that brick and mortar retailers did with e-commerce. They clearly saw customer demand, but they didn't like the margin structure. Now Amazon has higher margins -- margins can change. SaaS companies have their 70-90% gross margins and are reluctant to accept AI gross margins -- a good AI company might have 40%. If you want to have an agent, it's never going to succeed if you're not willing to run it at a sub-35% gross margin because that's what the AI natives are running it at. I can't think of a single application SaaS company that could not be running a successful agent strategy. And they have a giant advantage over these AI natives in that they have a cash-generative business."

Gavin on why it's a mistake for SaaS companies to resist AI because it has a lower margin structure: "When there's a transformative new technology customers are demanding, it's always a mistake not to embrace it. If you're trying to preserve an 80% gross-margin structure, you are guaranteed not to succeed in AI. SaaS companies are making the exact same mistake that brick and mortar retailers did with e-commerce. They clearly saw customer demand, but they didn't like the margin structure. Now Amazon has higher margins -- margins can change. SaaS companies have their 70-90% gross margins and are reluctant to accept AI gross margins -- a good AI company might have 40%. If you want to have an agent, it's never going to succeed if you're not willing to run it at a sub-35% gross margin because that's what the AI natives are running it at. I can't think of a single application SaaS company that could not be running a successful agent strategy. And they have a giant advantage over these AI natives in that they have a cash-generative business."

Patrick OShaughnessy

84,041 просмотров • 7 месяцев назад

DAVID SACKS ON THE AI RACE: "The US is currently in an AI race, and our chief global competition is China, obviously. They're the only other country that has the talent, the resources, and the technology expertise to basically beat us in AI. And I think whoever wins this AI race, that's going to have tremendous ramifications for both our economy and our national security. Clearly, we want the US to be the winner, just like we were with the internet, and every other technology revolution before that […] We know that to win this AI race, we have to be the most innovative. You can't regulate your way just to beating your competitor. You have to out-innovate them. And we know that in the United States, the innovation comes from the private sector, not the government. So we have to do everything we can to help our companies win, to help them be innovative, and that means getting a lot of red tape out of the way… We have to have the most AI infrastructure in the US. It has to be the easiest place to build it. All of the new data centers that are going in, they require tremendous power, so getting ahead of the curve on energy, making sure we stand up all of this new infrastructure we're going to need to basically produce these AI factories… We want the US technology stack to dominate globally. We want to be the partner of choice for the whole world… I think everyone in Silicon Valley understands that the way that you win a technology race is to have the biggest ecosystem […] You just want everybody to be building on top of your technology stack, and that's what we want for the United States." David Sacks w/Marc Benioff Dreamforce

DAVID SACKS ON THE AI RACE: "The US is currently in an AI race, and our chief global competition is China, obviously. They're the only other country that has the talent, the resources, and the technology expertise to basically beat us in AI. And I think whoever wins this AI race, that's going to have tremendous ramifications for both our economy and our national security. Clearly, we want the US to be the winner, just like we were with the internet, and every other technology revolution before that […] We know that to win this AI race, we have to be the most innovative. You can't regulate your way just to beating your competitor. You have to out-innovate them. And we know that in the United States, the innovation comes from the private sector, not the government. So we have to do everything we can to help our companies win, to help them be innovative, and that means getting a lot of red tape out of the way… We have to have the most AI infrastructure in the US. It has to be the easiest place to build it. All of the new data centers that are going in, they require tremendous power, so getting ahead of the curve on energy, making sure we stand up all of this new infrastructure we're going to need to basically produce these AI factories… We want the US technology stack to dominate globally. We want to be the partner of choice for the whole world… I think everyone in Silicon Valley understands that the way that you win a technology race is to have the biggest ecosystem […] You just want everybody to be building on top of your technology stack, and that's what we want for the United States." David Sacks w/Marc Benioff Dreamforce

Ron Pragides 

231,781 просмотров • 9 месяцев назад

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

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

Patrick OShaughnessy

126,540 просмотров • 3 месяцев назад

Be aware of what your electricity bill is now. Watch what happens if any AI data centers get built in your region. Your rates are going to increase dramatically because consumers are going to be forced to pay for the expansion of the power supply. If AI companies are not forced to fully fund their electricity requirements, the rest of us will pay for it. We are starting to see communities rise up and protest the building permits for AI data centers in their areas.

Be aware of what your electricity bill is now. Watch what happens if any AI data centers get built in your region. Your rates are going to increase dramatically because consumers are going to be forced to pay for the expansion of the power supply. If AI companies are not forced to fully fund their electricity requirements, the rest of us will pay for it. We are starting to see communities rise up and protest the building permits for AI data centers in their areas.

Wall Street Mav

47,407 просмотров • 8 месяцев назад

"There's only going to be two kinds of companies in the world. There are going to be companies that are very skilled with the use of AI, and then there are companies that are going to struggle for relevance," says Cisco's Jeetu Patel.

"There's only going to be two kinds of companies in the world. There are going to be companies that are very skilled with the use of AI, and then there are companies that are going to struggle for relevance," says Cisco's Jeetu Patel.

Yahoo Finance

23,862 просмотров • 1 год назад