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

Google's Logan Kilpatrick thinks Gemini 3 Flash vindicates the wrapper business model. "As a product builder, I don't think there's been a time in the history of building startups where you just get to show up one morning and somebody made your product 40% better, and saved you 50%."... show more

TBPN

165,083 subscribers

65,736 просмотров • 8 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

Properly getting back from my X hiatus, because there's just so much to say about Gemini 3! Got to do one my favorite things and chat with Josh Woodward and Logan Kilpatrick about the behind-the-scenes of building our 🔥🔥🔥 model

Properly getting back from my X hiatus, because there's just so much to say about Gemini 3! Got to do one my favorite things and chat with Josh Woodward and Logan Kilpatrick about the behind-the-scenes of building our 🔥🔥🔥 model

Tulsee Doshi

17,079 просмотров • 9 месяцев назад

Trump: We had gasoline at $1.84. They took my policy and they really messed it up then they went back to my policy. They always said we were drilling just as much. If I were there, we would’ve been double or triple that number. They took my policy because it was going through the roof. They went back to my policy.. The energy is what causes the problem. They went up at beginning then they went back to try and bring it down. They went back and it went up and it went up really dramatically. And that caused everything else to go up. Energy goes up and energy and when it comes down, we’re going to bring a lot of things

Trump: We had gasoline at $1.84. They took my policy and they really messed it up then they went back to my policy. They always said we were drilling just as much. If I were there, we would’ve been double or triple that number. They took my policy because it was going through the roof. They went back to my policy.. The energy is what causes the problem. They went up at beginning then they went back to try and bring it down. They went back and it went up and it went up really dramatically. And that caused everything else to go up. Energy goes up and energy and when it comes down, we’re going to bring a lot of things

Acyn

3,028,410 просмотров • 1 год назад

Elon Musk, 13 years ago: Humanity needs inspiring things like going to the moon. “Landing on the moon is regarded as one of the greatest achievements of humanity, arguably of life itself. Even though only a handful of people went to the moon, vicariously we all went there. And it was just one of those really inspiring things that I think made everyone glad to be human. There's bad things humanity does, and they're good things. This is one of the good things. I do think it's important that we have these inspiring things that make you glad to get up in the morning and glad to be a member of the human race.” Atlantic Meets the Pacific Conference, October 17, 2011

Elon Musk, 13 years ago: Humanity needs inspiring things like going to the moon. “Landing on the moon is regarded as one of the greatest achievements of humanity, arguably of life itself. Even though only a handful of people went to the moon, vicariously we all went there. And it was just one of those really inspiring things that I think made everyone glad to be human. There's bad things humanity does, and they're good things. This is one of the good things. I do think it's important that we have these inspiring things that make you glad to get up in the morning and glad to be a member of the human race.” Atlantic Meets the Pacific Conference, October 17, 2011

ELON CLIPS

1,046,613 просмотров • 1 год назад

Trump: The police were asking us to come in. They were very late. We had to go in to save a lot of ice officers as you know who were held up. Held up in a building and they were being attacked. The military went in— National Guard went and in and got them. The police weren't able unfortunately to move fast enough

Trump: The police were asking us to come in. They were very late. We had to go in to save a lot of ice officers as you know who were held up. Held up in a building and they were being attacked. The military went in— National Guard went and in and got them. The police weren't able unfortunately to move fast enough

Acyn

108,483 просмотров • 1 год назад

"The principle is so simple that a child can understand." Rep. Thomas Massie breaks down the true cause of inflation. "When you print five trillion dollars and you put it into the economy, you have diluted the value of the money." "We can say, well, eggs went up because feed went up, fuel went up because there's a war in Ukraine. You can find a lot of excuses for various different industries." "But what is the probability that every price went up all at the same time?"

"The principle is so simple that a child can understand." Rep. Thomas Massie breaks down the true cause of inflation. "When you print five trillion dollars and you put it into the economy, you have diluted the value of the money." "We can say, well, eggs went up because feed went up, fuel went up because there's a war in Ukraine. You can find a lot of excuses for various different industries." "But what is the probability that every price went up all at the same time?"

Wide Awake Media

51,616 просмотров • 1 год назад

Many startups find early pull, but only a few break out. Why? They stop at product/market fit and never find business model fit. Business model fit isn’t just about how much you charge for your product, but HOW you charge for it, and how you align customer value with your pricing. There’s a lot of advice out there about seat-based vs. usage-based vs. outcome-based pricing, but all of that is just noise. The search for business model fit is as specific to your company as the search for product market fit. You need to align your acquisition strategy and monetization strategy with your customer and product. It’s all one interconnected system. Take Slack for example: many associate Slack’s early success with its fun, creative design and fresh approach to communication. That’s what drew people to the product. But a big part of what made Slack a breakout success was business model fit. Freemium wasn’t just an acquisition tactic, it was essential to driving the revenue flywheel, viral expansion, and adoption in the enterprise. Obvious in retrospect, but controversial and against the grain of what others were doing at the time. The best founders don’t just chase product/market fit, they design a business model to make their product unstoppable. If that’s you, we want to meet you speedrun - link in replies

Many startups find early pull, but only a few break out. Why? They stop at product/market fit and never find business model fit. Business model fit isn’t just about how much you charge for your product, but HOW you charge for it, and how you align customer value with your pricing. There’s a lot of advice out there about seat-based vs. usage-based vs. outcome-based pricing, but all of that is just noise. The search for business model fit is as specific to your company as the search for product market fit. You need to align your acquisition strategy and monetization strategy with your customer and product. It’s all one interconnected system. Take Slack for example: many associate Slack’s early success with its fun, creative design and fresh approach to communication. That’s what drew people to the product. But a big part of what made Slack a breakout success was business model fit. Freemium wasn’t just an acquisition tactic, it was essential to driving the revenue flywheel, viral expansion, and adoption in the enterprise. Obvious in retrospect, but controversial and against the grain of what others were doing at the time. The best founders don’t just chase product/market fit, they design a business model to make their product unstoppable. If that’s you, we want to meet you speedrun - link in replies

Fareed Mosavat

24,963 просмотров • 11 месяцев назад

Elon tonight on the Model S and Model X: "Those cars were made with love; That's at the heart of any great product. If the employees making it genuinely love the product, when you genuinely love your kids, you care about things in a different way; You do things to make the product amazing because you love it. And that's what translates to people wanting the product."

Elon tonight on the Model S and Model X: "Those cars were made with love; That's at the heart of any great product. If the employees making it genuinely love the product, when you genuinely love your kids, you care about things in a different way; You do things to make the product amazing because you love it. And that's what translates to people wanting the product."

Sawyer Merritt

11,920,773 просмотров • 3 месяцев назад

Engram cofounder Jack Morris just raised $98M to build a new type of AI. He says models don't need to get smarter over time. Instead, they just need to know you better and better over time. Jack describes what he's building: "Our product is a new type of AI. We have a pretty different vision from a lot of the frontier labs, which are working on one model per lab, and trying to make that model smarter every month." "There's another way to think about it, which is that the model doesn't need to get smarter every month. It needs to know you better." "So we're working on a whole different stack, which is a way to train models that train themselves to know your world better and adjust to the things that you say." "So: new ways of training, new ways of running the models."

Engram cofounder Jack Morris just raised $98M to build a new type of AI. He says models don't need to get smarter over time. Instead, they just need to know you better and better over time. Jack describes what he's building: "Our product is a new type of AI. We have a pretty different vision from a lot of the frontier labs, which are working on one model per lab, and trying to make that model smarter every month." "There's another way to think about it, which is that the model doesn't need to get smarter every month. It needs to know you better." "So we're working on a whole different stack, which is a way to train models that train themselves to know your world better and adjust to the things that you say." "So: new ways of training, new ways of running the models."

TBPN

69,716 просмотров • 2 месяцев назад

We asked rahul about the global reach of @ChatGPTApp and the emphasis on personality in AI models. "When you want to get to the one to like the remaining 90% of the users, do you want a model that thinks for longer? You want more personality?" "They definitely leaned in on personality, which I think is interesting." "It's kind of different than a (social media) feed in some ways because you have this person you talk to. It's like a relationship and then it just switches up on how it talks to you."

We asked rahul about the global reach of @ChatGPTApp and the emphasis on personality in AI models. "When you want to get to the one to like the remaining 90% of the users, do you want a model that thinks for longer? You want more personality?" "They definitely leaned in on personality, which I think is interesting." "It's kind of different than a (social media) feed in some ways because you have this person you talk to. It's like a relationship and then it just switches up on how it talks to you."

TBPN

92,172 просмотров • 1 год назад

Elon Musk on why the Model S and Model X succeeded: “Those cars were designed with love. Every part of it, inside and outside, even things people couldn’t see - we put there because we love the product” “It’s at the heart of any great product. If the people making it genuinely love that product… it’s not a spreadsheet thing. You do things to make the product amazing because you love it Even if people don’t see all of those things, they feel a lot of those things. And that’s what translates to people wanting the product”

Elon Musk on why the Model S and Model X succeeded: “Those cars were designed with love. Every part of it, inside and outside, even things people couldn’t see - we put there because we love the product” “It’s at the heart of any great product. If the people making it genuinely love that product… it’s not a spreadsheet thing. You do things to make the product amazing because you love it Even if people don’t see all of those things, they feel a lot of those things. And that’s what translates to people wanting the product”

X Freeze

4,288,568 просмотров • 3 месяцев назад

Anthropic's Sholto Douglas describes the concept of a software-only singularity: "It's one where the models are far better at digital tasks than they are at physical ones. And so we see rapid change in the digital world with models, and relatively little change in the physical world. So information and software changes dramatically, and this ends up having some pretty weird effects." "It means that maybe like the drivers of what have been the last couple decades of progress in the economy turn around." "And I think we'll see that flow on into the physical world but at a delay. So you get much better at doing chip design. You get much better at training AI models. AI models get a lot faster. Chips get a lot better. The general economy gets a lot more efficient because the sort of information and message parsing that is much of the rest of the economy ends up becoming much more efficient." "But at the same time you don't yet have robots providing limitless physical abundance. Science probably progresses really fast up to the degree that you need interaction with labs or larger particle colliders or something like this. And then you go, 'Okay well I need to build the robots.'"

Anthropic's Sholto Douglas describes the concept of a software-only singularity: "It's one where the models are far better at digital tasks than they are at physical ones. And so we see rapid change in the digital world with models, and relatively little change in the physical world. So information and software changes dramatically, and this ends up having some pretty weird effects." "It means that maybe like the drivers of what have been the last couple decades of progress in the economy turn around." "And I think we'll see that flow on into the physical world but at a delay. So you get much better at doing chip design. You get much better at training AI models. AI models get a lot faster. Chips get a lot better. The general economy gets a lot more efficient because the sort of information and message parsing that is much of the rest of the economy ends up becoming much more efficient." "But at the same time you don't yet have robots providing limitless physical abundance. Science probably progresses really fast up to the degree that you need interaction with labs or larger particle colliders or something like this. And then you go, 'Okay well I need to build the robots.'"

TBPN

208,090 просмотров • 6 месяцев назад

Elon Musk on the first principles mistake almost everyone makes when building something "People will start with the tools and parts and methods they're familiar with, and try to create a product using their existing tools. The other way is to imagine the platonic ideal of the perfect product. What is the perfect arrangement of atoms that would be the best possible product? And now figure out how to get the atoms in that shape" Lex: "It sounds almost like Rick and Morty absurd until you really think about it. If you don't, you might fall victim to the momentum of the way things were done in the past" "Just as a function of inertia, people use the same tools and methods they're familiar with, which leads to things that can be made with those tools, but is unlikely to be the perfect product" "That theoretical perfect product is a moving target, because as you learn more, the definition changes. You don't actually know what the perfect product is, but you can successfully approximate a more perfect product. People very rarely think about it that way, but it's a powerful tool"

Elon Musk on the first principles mistake almost everyone makes when building something "People will start with the tools and parts and methods they're familiar with, and try to create a product using their existing tools. The other way is to imagine the platonic ideal of the perfect product. What is the perfect arrangement of atoms that would be the best possible product? And now figure out how to get the atoms in that shape" Lex: "It sounds almost like Rick and Morty absurd until you really think about it. If you don't, you might fall victim to the momentum of the way things were done in the past" "Just as a function of inertia, people use the same tools and methods they're familiar with, which leads to things that can be made with those tools, but is unlikely to be the perfect product" "That theoretical perfect product is a moving target, because as you learn more, the definition changes. You don't actually know what the perfect product is, but you can successfully approximate a more perfect product. People very rarely think about it that way, but it's a powerful tool"

Jaynit

42,270 просмотров • 13 дней назад

mark: we went to a restaurant that day. it was me, jaemin, jisung, and chenle who went. and it was a really delicious restaurant. we’re the kind of people who absolutely hate getting up in the morning, but that day, we all just shot right up and arrived at the perfect time. it was unbelievable. we were even more punctual than for our schedules. so we went there still sleepy, but the food was seriously delicious. it was truly legendary.

mark: we went to a restaurant that day. it was me, jaemin, jisung, and chenle who went. and it was a really delicious restaurant. we’re the kind of people who absolutely hate getting up in the morning, but that day, we all just shot right up and arrived at the perfect time. it was unbelievable. we were even more punctual than for our schedules. so we went there still sleepy, but the food was seriously delicious. it was truly legendary.

Ⓙ archive

113,572 просмотров • 1 год назад

JUST IN: Eyewitness says he saw the suspect at Trump's rally go "in between one building to the next" when he alerted the police. "I noticed two officers that were looking for something or somebody." "I was looking around myself and seeing a guy on top of one of the buildings go in between one building to the next and went and told the officer that he was up there." "I went and went back to tell the officer that if he came over there, he could see them." "And when I turned my back is when [I heard] the shots..."

JUST IN: Eyewitness says he saw the suspect at Trump's rally go "in between one building to the next" when he alerted the police. "I noticed two officers that were looking for something or somebody." "I was looking around myself and seeing a guy on top of one of the buildings go in between one building to the next and went and told the officer that he was up there." "I went and went back to tell the officer that if he came over there, he could see them." "And when I turned my back is when [I heard] the shots..."

Collin Rugg

9,659,611 просмотров • 2 лет назад

GEMINI 3 LAUNCH IS HERE I got a SNEAK PEEK at Gemini 3 with Logan Kilpatrick (Google Deepmind), and it might be the most POWERFUL vibe-coding tool on the planet. A little breakdown: 1. Anyone can build 3D and casual games now You can vibecode full, playable 3D video games generated in minutes. Actual games with physics, characters, controls, and loops you can remix instantly. Pure insanity. I can see founders and brands spinning up games on the fly to ride trends and drive growth. 2. Intelligent apps are becoming the default We built apps where reasoning, memory, and multi-step planning were baked in from the start. Once you’re building apps with ACTUAL intelligence baked in, there’s a whole wave of new opportunities that weren’t possible before. 3. Gemini acts like a creative partner You describe the idea, Gemini fills in the gaps, challenges decisions, proposes alternatives, and iterates in real time. 4. Vibe coding hits a new level Gemini 3 can generate assets, code, game logic, UI, and narrative in one flow. Tools like Claude and Cursor feel fast. This feels like the next layer, the one where a single builder can compete with full teams. Logan Kilpatrick and I pushed Google Gemini 3 hard, and the outputs were solid. A few times we had to give it a few extra prompts but it took feedback really well. I think 1 year ago, a lot of people discounted Google in the AI arms race. Can you discount them anymore? Doubt it. After this, it feels like they at best leading, at worst leading. What do you think of Google's AI efforts/Gemini 3 My biggest takeaway was how it just felt like Gemini 3 had a little more vibe coding horsepower than anything I’ve used.

GEMINI 3 LAUNCH IS HERE I got a SNEAK PEEK at Gemini 3 with Logan Kilpatrick (Google Deepmind), and it might be the most POWERFUL vibe-coding tool on the planet. A little breakdown: 1. Anyone can build 3D and casual games now You can vibecode full, playable 3D video games generated in minutes. Actual games with physics, characters, controls, and loops you can remix instantly. Pure insanity. I can see founders and brands spinning up games on the fly to ride trends and drive growth. 2. Intelligent apps are becoming the default We built apps where reasoning, memory, and multi-step planning were baked in from the start. Once you’re building apps with ACTUAL intelligence baked in, there’s a whole wave of new opportunities that weren’t possible before. 3. Gemini acts like a creative partner You describe the idea, Gemini fills in the gaps, challenges decisions, proposes alternatives, and iterates in real time. 4. Vibe coding hits a new level Gemini 3 can generate assets, code, game logic, UI, and narrative in one flow. Tools like Claude and Cursor feel fast. This feels like the next layer, the one where a single builder can compete with full teams. Logan Kilpatrick and I pushed Google Gemini 3 hard, and the outputs were solid. A few times we had to give it a few extra prompts but it took feedback really well. I think 1 year ago, a lot of people discounted Google in the AI arms race. Can you discount them anymore? Doubt it. After this, it feels like they at best leading, at worst leading. What do you think of Google's AI efforts/Gemini 3 My biggest takeaway was how it just felt like Gemini 3 had a little more vibe coding horsepower than anything I’ve used.

GREG ISENBERG

73,804 просмотров • 9 месяцев назад

Trump: But I do want to say, and some people say, 'oh, you shouldn't say it. It sounds negative.' I think it sounds positive. The only reason our unemployment ticked up and went up to 4.5%—it went up to 4.5%, which is quite a low number, but still—is because we are reducing the government workforce by numbers that have never been seen before.

Trump: But I do want to say, and some people say, 'oh, you shouldn't say it. It sounds negative.' I think it sounds positive. The only reason our unemployment ticked up and went up to 4.5%—it went up to 4.5%, which is quite a low number, but still—is because we are reducing the government workforce by numbers that have never been seen before.

FactPost

275,115 просмотров • 8 месяцев назад