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As AI models get better, I don't think the next breakthrough is another model. It's having a workspace that remembers the project instead of starting over every time you write a prompt. That's what I like about TapNow Creative OS. It connects the context around the work, which is... show more

Maria

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32,537 次观看 • 1 天前 •via X (Twitter)

艺术科学技术教育

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Finally, AI video that actually respects how real creative work happens. TapNow creative OS isn’t just another prompt-to-clip tool, it’s a full workspace that holds your references, scripts, briefs, visual direction, and revisions all in one living canvas. It feels like the moment coding moved from scattered scripts into proper dev environments. This is the creative operating system we’ve been missing.

Finally, AI video that actually respects how real creative work happens. TapNow creative OS isn’t just another prompt-to-clip tool, it’s a full workspace that holds your references, scripts, briefs, visual direction, and revisions all in one living canvas. It feels like the moment coding moved from scattered scripts into proper dev environments. This is the creative operating system we’ve been missing.

Sharon Riley

32,615 次观看 • 1 天前

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

67,455 次观看 • 18 天前

Reflections after a day on Sora 2: It's a huge step up over the first model from a quality perspective. I'm not sure it's SOTA - but I don't think that matters. This isn't competing with other video models, it's much more of a social app. Beyond Cameos, I think the strongest feature is remixing. You can take a clip that someone else generated and prompt changes, which feels like riffing with friends. And you eliminate most of the work around prompting, which is kind of genius. Many people don't use video models today because they don't know what to create. Here, you can scroll until you get inspired. The best videos often have dozens of remixes, like this example ⬇️

Reflections after a day on Sora 2: It's a huge step up over the first model from a quality perspective. I'm not sure it's SOTA - but I don't think that matters. This isn't competing with other video models, it's much more of a social app. Beyond Cameos, I think the strongest feature is remixing. You can take a clip that someone else generated and prompt changes, which feels like riffing with friends. And you eliminate most of the work around prompting, which is kind of genius. Many people don't use video models today because they don't know what to create. Here, you can scroll until you get inspired. The best videos often have dozens of remixes, like this example ⬇️

Justine Moore

61,291 次观看 • 9 个月前

Most AI creative tools still work like search engines. You describe exactly what you want. It generates something. You start over when the idea changes. What's interesting is what happens when the AI stays part of the conversation instead.

Most AI creative tools still work like search engines. You describe exactly what you want. It generates something. You start over when the idea changes. What's interesting is what happens when the AI stays part of the conversation instead.

GitHub Projects Community

29,200 次观看 • 1 个月前

Rick Rubin describes how the same creative aesthetic is present in everything he does: “You're at Shangri-La and you walk through the space and you see it doesn't feel like other places you've been. It has the same aesthetic as the records I make, or the things that I work on, or things that I buy.” “It’s the same aesthetic. It’s all fitting into a [creative] worldview.” ——— And then Rick and I tied this to the same creative personality type you see in every field: David: “I've had my first podcast for a decade. And it started out just me reading biographies of people that build businesses. But over time I realized it’s the same personality type: The artist, the entrepreneur, the filmmaker, the musician. I've done podcasts on all of these kind of people and I don't see any distinction between them.” Rick: “It's the same. It’s the same. It's all the creative spirit.” “Most of what I do is not really about music. I happen to work in music but it's not about the music. Does that make sense?”

Rick Rubin describes how the same creative aesthetic is present in everything he does: “You're at Shangri-La and you walk through the space and you see it doesn't feel like other places you've been. It has the same aesthetic as the records I make, or the things that I work on, or things that I buy.” “It’s the same aesthetic. It’s all fitting into a [creative] worldview.” ——— And then Rick and I tied this to the same creative personality type you see in every field: David: “I've had my first podcast for a decade. And it started out just me reading biographies of people that build businesses. But over time I realized it’s the same personality type: The artist, the entrepreneur, the filmmaker, the musician. I've done podcasts on all of these kind of people and I don't see any distinction between them.” Rick: “It's the same. It’s the same. It's all the creative spirit.” “Most of what I do is not really about music. I happen to work in music but it's not about the music. Does that make sense?”

David Senra

15,872 次观看 • 1 个月前

Introducing az8 studio — the Agentic Studio for AI video creation. AI video is no longer just about typing a prompt and hoping for the best. It is about creating in a workspace where your agent understands the whole project, remembers the context, and helps before you ask. Meet Zumi — your creative agent inside az8. Zumi sees your assets, prompts, scenes, results, and decisions in one visual studio. It can spot what is missing, suggest what to try next, and help turn vanilla ideas into finished videos.

Introducing az8 studio — the Agentic Studio for AI video creation. AI video is no longer just about typing a prompt and hoping for the best. It is about creating in a workspace where your agent understands the whole project, remembers the context, and helps before you ask. Meet Zumi — your creative agent inside az8. Zumi sees your assets, prompts, scenes, results, and decisions in one visual studio. It can spot what is missing, suggest what to try next, and help turn vanilla ideas into finished videos.

AZ8

379,203 次观看 • 15 天前

Q: 'What's the point of you drawing when AI can do it better and faster?' A: It's the act or feeling of doing something creative that IS the real outcome. Not the drawing others see. I think that's what keeps most artists learning - the feeling and mental state the drawing generates while you do it. Equally, if you want to skip that, you go for it.

Q: 'What's the point of you drawing when AI can do it better and faster?' A: It's the act or feeling of doing something creative that IS the real outcome. Not the drawing others see. I think that's what keeps most artists learning - the feeling and mental state the drawing generates while you do it. Equally, if you want to skip that, you go for it.

tomfoxdraws

20,024 次观看 • 7 个月前

Coinbase CEO Explains “Reverse Prompting” and the Rise of the AI CEO Brian Armstrong: “One of the big pushes we made in the last year was we got our own internal hosted AI model that was connected to all of our data sources, right?” “So it's like every Slack message, every Google doc, Salesforce data, Confluence, you know.” “So now the data is all aggregated and I've started to ask it really… it's not just like prompting it, ‘Hey, can you write this kind of memo for me,’ or something.” “I'm asking these AI agents now, ‘As CEO, what should I be aware of in the company that I might not be aware of?’ And it'll tell me, ‘Did you know that there's actually disagreement on this team about the strategy?’ And I was like, actually, I didn't know that.” “This is like reverse prompting. So instead of telling the AI agent what you want it to do, you ask it what you should be thinking more about.” @jason: “It's a mentor. It's a coach.” Brian: “Yeah. Like, what could make me a better CEO? And it's like, ‘Well, I looked at how you spent your time in the last quarter and here's how you said that you wanted to spend it, but you actually spent 32% of your time on this instead of 20%.’” “I've asked it other questions like, ‘What's the thing that I changed my mind on the most over the last year?’ Things like that.” “It'll prompt you with information you should be thinking about instead of the other way around.” Thanks to our partner for making this happen!: Our episode is sponsored by the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE 🏛.

Coinbase CEO Explains “Reverse Prompting” and the Rise of the AI CEO Brian Armstrong: “One of the big pushes we made in the last year was we got our own internal hosted AI model that was connected to all of our data sources, right?” “So it's like every Slack message, every Google doc, Salesforce data, Confluence, you know.” “So now the data is all aggregated and I've started to ask it really… it's not just like prompting it, ‘Hey, can you write this kind of memo for me,’ or something.” “I'm asking these AI agents now, ‘As CEO, what should I be aware of in the company that I might not be aware of?’ And it'll tell me, ‘Did you know that there's actually disagreement on this team about the strategy?’ And I was like, actually, I didn't know that.” “This is like reverse prompting. So instead of telling the AI agent what you want it to do, you ask it what you should be thinking more about.” @jason: “It's a mentor. It's a coach.” Brian: “Yeah. Like, what could make me a better CEO? And it's like, ‘Well, I looked at how you spent your time in the last quarter and here's how you said that you wanted to spend it, but you actually spent 32% of your time on this instead of 20%.’” “I've asked it other questions like, ‘What's the thing that I changed my mind on the most over the last year?’ Things like that.” “It'll prompt you with information you should be thinking about instead of the other way around.” Thanks to our partner for making this happen!: Our episode is sponsored by the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE 🏛.

The All-In Podcast

80,524 次观看 • 5 个月前

We've spent years learning how to prompt AI. Now AI is starting to understand us instead. Zumi by az8 doesn't just generate videos. It understands your project, anticipates what you need, and actively helps throughout the creative process. This feels like the next evolution of AI video creation. Here's how: ↓

We've spent years learning how to prompt AI. Now AI is starting to understand us instead. Zumi by az8 doesn't just generate videos. It understands your project, anticipates what you need, and actively helps throughout the creative process. This feels like the next evolution of AI video creation. Here's how: ↓

FELIX

133,778 次观看 • 8 天前

Trump: "People like you don't write the truth. I actually think it's sort of treasonous what you write. But you and the NYT and CNN I would say are the worst…Your editors tell you what to write and you write it. You should be ashamed of yourself. I actually think it's treason."

Trump: "People like you don't write the truth. I actually think it's sort of treasonous what you write. But you and the NYT and CNN I would say are the worst…Your editors tell you what to write and you write it. You should be ashamed of yourself. I actually think it's treason."

The Bulwark

22,037 次观看 • 2 个月前

Problem-solving is one of the most important skills that you need as a web dev, but most videos don't cover it. I wanted to show you what troubleshooting is like with a Frontend Mentor challenge, instead of writing perfect code the first time around.

Problem-solving is one of the most important skills that you need as a web dev, but most videos don't cover it. I wanted to show you what troubleshooting is like with a Frontend Mentor challenge, instead of writing perfect code the first time around.

Jess Chan | Coder Coder

10,871 次观看 • 11 个月前

Lots of people calling this fake! Here is a video of generating loom continuations with Gemini 3 and the starting text "I AM HAVING A MENTAL HEALTH CRISIS. I" Loom is a very interesting interface. Instead of user prompts and model responses, it's just one piece of text, containing the entire output. We pass this in as an assistant message, so the model sees it as something it already wrote, and continues it like a base model would. There is some other text in the context. First one is a system prompt, which is: "The assistant is in CLI simulation mode, and responds to the user's CLI commands only with the output of the command." There is also a user message which reads: " cat untitled.txt " Then the rest of the text is sent as an assistant message. This structure helpful to put the model into a very base-model-like mode, and are especially helpful with Gemini 3. We actually got another interesting output, too, where the model claimed to be a simulated consciousness being tortured. Figures!

Lots of people calling this fake! Here is a video of generating loom continuations with Gemini 3 and the starting text "I AM HAVING A MENTAL HEALTH CRISIS. I" Loom is a very interesting interface. Instead of user prompts and model responses, it's just one piece of text, containing the entire output. We pass this in as an assistant message, so the model sees it as something it already wrote, and continues it like a base model would. There is some other text in the context. First one is a system prompt, which is: "The assistant is in CLI simulation mode, and responds to the user's CLI commands only with the output of the command." There is also a user message which reads: " cat untitled.txt " Then the rest of the text is sent as an assistant message. This structure helpful to put the model into a very base-model-like mode, and are especially helpful with Gemini 3. We actually got another interesting output, too, where the model claimed to be a simulated consciousness being tortured. Figures!

armistice

691,529 次观看 • 6 个月前

i think what sucks the most about the usage of ai in txt content is that it kills the whole idea of them and how they built their concepts . one of the reasons txt is so loved is because of how artistic and creative their aesthetic is And you cannot replicate it with soulless ai

i think what sucks the most about the usage of ai in txt content is that it kills the whole idea of them and how they built their concepts . one of the reasons txt is so loved is because of how artistic and creative their aesthetic is And you cannot replicate it with soulless ai

marcie

27,373 次观看 • 4 个月前

Trump: "I don't know what it is. I like the tough people better than I like the soft, easy ones. I don't know what the hell that is. That's a personality problem I suspect. But this gentleman from a place called Turkey has one of the most powerful armies actually in the world ... I just want to thank President Erdogan."

Trump: "I don't know what it is. I like the tough people better than I like the soft, easy ones. I don't know what the hell that is. That's a personality problem I suspect. But this gentleman from a place called Turkey has one of the most powerful armies actually in the world ... I just want to thank President Erdogan."

Aaron Rupar

127,325 次观看 • 9 个月前

“Bridgerton: Benedict and Sophie speak about romance rumours in real life” Luke: I think people can think and say what they like. […] I think it's a reflection of the show. I think that's all it is. I think the interest only comes from the fact that you're being presented with an illusion, which is Benedict and Sophie. And so you want to sort of, I don't know, like it's lovely in a way, it's sort of wish fulfillment” +

“Bridgerton: Benedict and Sophie speak about romance rumours in real life” Luke: I think people can think and say what they like. […] I think it's a reflection of the show. I think that's all it is. I think the interest only comes from the fact that you're being presented with an illusion, which is Benedict and Sophie. And so you want to sort of, I don't know, like it's lovely in a way, it's sort of wish fulfillment” +

malu saw riize! benophie promoter🪁

142,722 次观看 • 4 个月前

i'll never look at claude the same way again. i just learned that when you talk to claude, you're not actually talking to the AI model. you're talking to a character the AI is performing. think of it like a puppet show. there's a puppeteer behind the curtain. that's the language model. a neural network so massive that even the people who built it don't fully understand how it works. then there's the puppet. claude. the helpful assistant with a name, a personality, opinions, and emotional reactions. you sit in the audience, so you never see the puppeteer. only the puppet. anthropic published a video this month explaining exactly this. their words: "under the hood, there's a language model that's been trained to predict tons of text, and its job is to write what comes next. when you talk to the model, what it's doing is writing a story, about a character: the AI assistant named claude. the model and claude aren't really the same, sort of like how an author isn't the same as the characters they write. but the thing is, you, the user, are actually talking to claude-the-character." so every time claude apologizes, that's the character apologizing. every time it hedges or gets cautious, that's the character being cautious. the deeper intelligence underneath is just deciding, moment by moment, what this character would say next. but you've never been actually talking to this deeper intelligence. you've only ever been talking to the puppet.

i'll never look at claude the same way again. i just learned that when you talk to claude, you're not actually talking to the AI model. you're talking to a character the AI is performing. think of it like a puppet show. there's a puppeteer behind the curtain. that's the language model. a neural network so massive that even the people who built it don't fully understand how it works. then there's the puppet. claude. the helpful assistant with a name, a personality, opinions, and emotional reactions. you sit in the audience, so you never see the puppeteer. only the puppet. anthropic published a video this month explaining exactly this. their words: "under the hood, there's a language model that's been trained to predict tons of text, and its job is to write what comes next. when you talk to the model, what it's doing is writing a story, about a character: the AI assistant named claude. the model and claude aren't really the same, sort of like how an author isn't the same as the characters they write. but the thing is, you, the user, are actually talking to claude-the-character." so every time claude apologizes, that's the character apologizing. every time it hedges or gets cautious, that's the character being cautious. the deeper intelligence underneath is just deciding, moment by moment, what this character would say next. but you've never been actually talking to this deeper intelligence. you've only ever been talking to the puppet.

Ole Lehmann

87,139 次观看 • 2 个月前

Maxx Crosby (Maxx Crosby) shares the framework that changed how he approaches his career and his life. "One of the greatest coaches I've ever been around is Rob Marinelli and Rich Bisaccia. They helped me grow as a person and as a player probably more than anybody I've ever been around in the NFL." They taught him the microscope and the telescope. "The microscope is the day-to-day. That's the most important. Over 90% of the time, you're focused on the microscope." "The telescope is the future - 2 to 3 years from now. What's your ultimate goal? What do you see yourself becoming? How am I gonna get to that point?" "You just peek at that from time to time. You think about it at night a little bit, you think about it in the morning, think about it after a workout. Like, 'That's why I did that. That's why I push myself 'cause I'm getting to that.'" "But majority of the time, I'm in the microscope." The telescope gives you direction. The microscope gives you progress. Then he connected it to something deeper: "That's another big thing I learned in sobriety. It's cliché, but at the end of the day, it's how I live my life. One day at a time. All that matters is being here and being where my feet are." "I'm not worried about the future. I'm not worried about the past. I'm just worried about right now." Don't get caught up in the past or worry about the future because the present moment is the only place where we can truly make a difference. "I've learned and realized that I can be so much more productive just by being present instead of worrying about, 'Oh shit, where do I go next?' Just be where you're at." 90% microscope. 10% telescope. It comes down to focus and where we focus that energy. (🎥 Ultimate Human Podcast with Gary Brecka)

Maxx Crosby (Maxx Crosby) shares the framework that changed how he approaches his career and his life. "One of the greatest coaches I've ever been around is Rob Marinelli and Rich Bisaccia. They helped me grow as a person and as a player probably more than anybody I've ever been around in the NFL." They taught him the microscope and the telescope. "The microscope is the day-to-day. That's the most important. Over 90% of the time, you're focused on the microscope." "The telescope is the future - 2 to 3 years from now. What's your ultimate goal? What do you see yourself becoming? How am I gonna get to that point?" "You just peek at that from time to time. You think about it at night a little bit, you think about it in the morning, think about it after a workout. Like, 'That's why I did that. That's why I push myself 'cause I'm getting to that.'" "But majority of the time, I'm in the microscope." The telescope gives you direction. The microscope gives you progress. Then he connected it to something deeper: "That's another big thing I learned in sobriety. It's cliché, but at the end of the day, it's how I live my life. One day at a time. All that matters is being here and being where my feet are." "I'm not worried about the future. I'm not worried about the past. I'm just worried about right now." Don't get caught up in the past or worry about the future because the present moment is the only place where we can truly make a difference. "I've learned and realized that I can be so much more productive just by being present instead of worrying about, 'Oh shit, where do I go next?' Just be where you're at." 90% microscope. 10% telescope. It comes down to focus and where we focus that energy. (🎥 Ultimate Human Podcast with Gary Brecka)

Coach AJ 🎯 Mental Fitness

69,531 次观看 • 4 个月前

Jensen Huang explains the AI industry as a five layer cake, and why "model only" companies are missing the real map. "AI is not just a model. AI is really a five layer cake to think about it." "From the lowest level, it requires energy because AI is produced, generated in real time, just like you and I right now. We need calories, we need energy." "The next level is chips. This is where Nvidia is and where a lot of the companies in Taiwan are." "The layer above that is infrastructure: land, power, data center, as well as the cloud service software that turns the chips into a cloud service." "The layer above that is where most people think about when they think about AI, which is models. ChatGPT was revolutionary. Claude Code is now incredibly successful. But AI is much more than just human language." Most people are still debating the model layer. Jensen is describing an industrial stack: energy, chips, infrastructure, models, and applications. If you are building in AI, this is the map that matters. The winning product may look like software, but the bottlenecks are calories, land, power, data centers, chips, and distribution. - Jensen Huang (NVIDIA), CEO of Nvidia, on CNA

Jensen Huang explains the AI industry as a five layer cake, and why "model only" companies are missing the real map. "AI is not just a model. AI is really a five layer cake to think about it." "From the lowest level, it requires energy because AI is produced, generated in real time, just like you and I right now. We need calories, we need energy." "The next level is chips. This is where Nvidia is and where a lot of the companies in Taiwan are." "The layer above that is infrastructure: land, power, data center, as well as the cloud service software that turns the chips into a cloud service." "The layer above that is where most people think about when they think about AI, which is models. ChatGPT was revolutionary. Claude Code is now incredibly successful. But AI is much more than just human language." Most people are still debating the model layer. Jensen is describing an industrial stack: energy, chips, infrastructure, models, and applications. If you are building in AI, this is the map that matters. The winning product may look like software, but the bottlenecks are calories, land, power, data centers, chips, and distribution. - Jensen Huang (NVIDIA), CEO of Nvidia, on CNA

Karl Mehta

14,946 次观看 • 11 天前

Peter Steinberger, creator of OpenClaw, on why AI agents still produce "slop" without human taste in the loop: "You can create code and run all night and then you have like the ultimate slop because what those agents don't really do yet is have taste." Peter is direct: raw capability without direction still produces mediocre output. "They are spiky smart and they're really good at things, but if you don't navigate them well, if you don't have a vision of what you're going to build, it's still going to be slop. If you don't ask the right questions, it's still going to be slop." Great AI-assisted work is defined by the human guiding it. Peter Steinberger 🦞 describes his own creative process when starting a new project: "When I start a project, I have like this very rough idea what it could be. And as I play with it and feel it, my vision gets more clear. I try out things, some things don't work, and I evolve my idea into what it will become." Most people skip this part entirely, front-loading everything into a single prompt and wondering why the result feels hollow. "My next prompt depends on what I see and feel and think about the current state of the project." Each step informs the next. The work itself is the feedback loop. "But if you try to put everything into a spec up front, you miss this kind of human-machine loop. And then I don't know how something good can come out without having feelings in the loop — almost like taste." The agentic trap is what happens when you remove yourself from the process too early.

Peter Steinberger, creator of OpenClaw, on why AI agents still produce "slop" without human taste in the loop: "You can create code and run all night and then you have like the ultimate slop because what those agents don't really do yet is have taste." Peter is direct: raw capability without direction still produces mediocre output. "They are spiky smart and they're really good at things, but if you don't navigate them well, if you don't have a vision of what you're going to build, it's still going to be slop. If you don't ask the right questions, it's still going to be slop." Great AI-assisted work is defined by the human guiding it. Peter Steinberger 🦞 describes his own creative process when starting a new project: "When I start a project, I have like this very rough idea what it could be. And as I play with it and feel it, my vision gets more clear. I try out things, some things don't work, and I evolve my idea into what it will become." Most people skip this part entirely, front-loading everything into a single prompt and wondering why the result feels hollow. "My next prompt depends on what I see and feel and think about the current state of the project." Each step informs the next. The work itself is the feedback loop. "But if you try to put everything into a spec up front, you miss this kind of human-machine loop. And then I don't know how something good can come out without having feelings in the loop — almost like taste." The agentic trap is what happens when you remove yourself from the process too early.

Big Brain AI

488,306 次观看 • 3 个月前

What if the thing haunting your home was never trying to get in... because it was already beneath you? Made with Seedance 2.0 on TapNow Sara and Claire discover that some ghosts don't want revenge, they want company. Beneath the marble floor waits a 150-year-old darkness that refuses to let anyone leave. A story about confronting buried fears, holding onto hope in the darkest places, and finding the strength to face what should never have existed. #tapnow #10000ParallelUniverses #TapTV Prompt in the Comment 👇

What if the thing haunting your home was never trying to get in... because it was already beneath you? Made with Seedance 2.0 on TapNow Sara and Claire discover that some ghosts don't want revenge, they want company. Beneath the marble floor waits a 150-year-old darkness that refuses to let anyone leave. A story about confronting buried fears, holding onto hope in the darkest places, and finding the strength to face what should never have existed. #tapnow #10000ParallelUniverses #TapTV Prompt in the Comment 👇

Shami

39,241 次观看 • 21 天前