正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

made a UI library where everything is drawn in pen every mount is a fresh sketch from seeded randomness. the ink boils like a 90s cartoon. hover and it redraws itself. real HTML inputs underneath. zero dependencies. open sourcing it soon.

Daniel White

4,027 subscribers

36,477 次观看 • 13 天前 •via X (Twitter)

艺术科学技术

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

💬assistant-ui is an open-source TypeScript/React library for AI chat. It brings a ChatGPT-like UI directly into your app. Get started via `npx assistant-ui init`. Congrats on the launch, Simon Farshid!

💬assistant-ui is an open-source TypeScript/React library for AI chat. It brings a ChatGPT-like UI directly into your app. Get started via `npx assistant-ui init`. Congrats on the launch, Simon Farshid!

Y Combinator

132,724 次观看 • 1 年前

Try this out, it’s really cool! You can sketch a mockup, talk about what it should look like, and in seconds the UI is built. Powered by Groq Inc. Then you can iterate with voice to make improvements. (App is open source, btw 🔥)

Try this out, it’s really cool! You can sketch a mockup, talk about what it should look like, and in seconds the UI is built. Powered by Groq Inc. Then you can iterate with voice to make improvements. (App is open source, btw 🔥)

Ben Klieger

142,674 次观看 • 1 年前

Ronda Rousey: I feel like the story and everything behind it is not just this fight, but a lot of it is MVP vs. the UFC and that's where I'm gonna fucking go real hard in the trenches. We're helping them cause they're suffering from a lack of competition and they can't just make a class action lawsuit every couple of years as the cost of doing business.

Ronda Rousey: I feel like the story and everything behind it is not just this fight, but a lot of it is MVP vs. the UFC and that's where I'm gonna fucking go real hard in the trenches. We're helping them cause they're suffering from a lack of competition and they can't just make a class action lawsuit every couple of years as the cost of doing business.

Jed I. Goodman ©

32,905 次观看 • 6 个月前

A color e-ink display is quietly teaching my kids (and me) art history 🎨 It hangs on the wall like a normal frame, a new masterpiece every day, and the house feels like it gained a living tutor Video + details ⬇️

A color e-ink display is quietly teaching my kids (and me) art history 🎨 It hangs on the wall like a normal frame, a new masterpiece every day, and the house feels like it gained a living tutor Video + details ⬇️

Jesse Genet

31,029 次观看 • 2 个月前

The Rails is quietly becoming one of the most interesting experiments in on-chain trading. It gives you a place to actually prove skill, not just flex capital. You can start small, take evaluations with zero real-loss risk, and still build toward real credit on What makes it compelling is how every trade, every attempt, every evaluation feeds into your on-chain profile. It feels less like a trading app and more like a system where your performance genuinely matters. And because the platform is still early, the people jumping in now are shaping the culture, the meta, and the benchmarks future traders will chase. ➥If you’ve been looking for a fresh angle in the trading ecosystem, Rails is worth watching. Links Oficiais: Rails Play: Website: X: Support:

Zito.btc

24,095 次观看 • 8 个月前

A week of sleepless nights to build a website. Worth every single one. Everything you see is custom. Every hover state, every transition, every 3D element, every micro-interaction, coded from scratch. No templates. Nothing off the shelf. We used Claude to push the code further. The team refused to settle. Three times we had a version that was ready. Three times we scrapped it. Most ship good enough. We can't. Not because we're perfectionists for the sake of it. Because the companies we work with are building something real. They deserve a partner who treats every detail like it matters. Because it does. And this is only the MVP. The full site is coming in the next few weeks. It only gets better from here. We're available. Let's start a project.

A week of sleepless nights to build a website. Worth every single one. Everything you see is custom. Every hover state, every transition, every 3D element, every micro-interaction, coded from scratch. No templates. Nothing off the shelf. We used Claude to push the code further. The team refused to settle. Three times we had a version that was ready. Three times we scrapped it. Most ship good enough. We can't. Not because we're perfectionists for the sake of it. Because the companies we work with are building something real. They deserve a partner who treats every detail like it matters. Because it does. And this is only the MVP. The full site is coming in the next few weeks. It only gets better from here. We're available. Let's start a project.

Amjad

23,855 次观看 • 4 个月前

Justice Kavanaugh made an important point: this is a zero-sum game. Every time a biological male is allowed to play on a women’s team, it takes away an opportunity from a female athlete. There are real harms here.

Justice Kavanaugh made an important point: this is a zero-sum game. Every time a biological male is allowed to play on a women’s team, it takes away an opportunity from a female athlete. There are real harms here.

Carrie Severino

165,664 次观看 • 7 个月前

Leonard Susskind, the physicist who proved that uncertainty itself has a measurable size, and gave it a precise mathematical definition: "Most people assume randomness is chaos with no rules at all. I proved it obeys laws just as strict and unbreakable as anything in physics, you just have to stop asking it the wrong question." randomness has a law. this quantity turns it from a mystery into a number, and until now, only the students sitting in that room ever heard it explained this way. strip the jargon. you can't predict one coin flip. flip it a billion times, though, and you can nail the exact odds of a thousand heads in a row. that's the wrong question people keep throwing at randomness. they chase what happens next. ask how often instead, and randomness hands you an exact answer every time. nobody calls a market "unpredictable" and admits they asked it the wrong question. zoom out to risk models today. a model doesn't fail by missing the next move, nothing predicts that. it fails when it can't tell you the real odds of an outlier. the industry chases sharper forecasts and calls that skill. but the real skill was never predicting the flip. it was pricing exactly how rare the next surprise really is. randomness was never lawless. it just answers a different question than the one everyone keeps asking. The answer is in this video.

Leonard Susskind, the physicist who proved that uncertainty itself has a measurable size, and gave it a precise mathematical definition: "Most people assume randomness is chaos with no rules at all. I proved it obeys laws just as strict and unbreakable as anything in physics, you just have to stop asking it the wrong question." randomness has a law. this quantity turns it from a mystery into a number, and until now, only the students sitting in that room ever heard it explained this way. strip the jargon. you can't predict one coin flip. flip it a billion times, though, and you can nail the exact odds of a thousand heads in a row. that's the wrong question people keep throwing at randomness. they chase what happens next. ask how often instead, and randomness hands you an exact answer every time. nobody calls a market "unpredictable" and admits they asked it the wrong question. zoom out to risk models today. a model doesn't fail by missing the next move, nothing predicts that. it fails when it can't tell you the real odds of an outlier. the industry chases sharper forecasts and calls that skill. but the real skill was never predicting the flip. it was pricing exactly how rare the next surprise really is. randomness was never lawless. it just answers a different question than the one everyone keeps asking. The answer is in this video.

MindArch

24,894 次观看 • 17 天前

We are witnessing a fundamental shift in how software is built. Over the decades, UI was static and predictable. But AI is changing the fundamental nature of the interface. We are moving away from fixed UI and toward a new standard: Generative UI. Generative UI lets agents participate in the UI, not just the conversation. It’s a dynamic participant in the user experience. Depending on the complexity of your app, Generative UI generally falls into three categories: 1. Static (AG-UI): UI is chosen from a fixed set of hand-built components 2. Open-Ended (MCP Apps): agent sends arbitrary content like raw HTML or iframes for total flexibility. 3. Declarative (A2UI): agent and frontend communicate via a structured UI spec for dynamic widgets and forms. The AG-UI Protocol by CopilotKit is the real breakthrough. AG-UI acts as the universal transport layer. It provides the integrations and middleware for every Gen-UI spec, making it trivial to bring dynamic components into your existing app. CopilotKit provides the go-to ecosystem for building agentic applications and is the React client of AG-UI. It is designed to be deeply integrated, allowing developers to bring their own frameworks or protocols to the table. Play around with different types of Generative UI here → Check out the video attached to see Generative UI in action. Appreciate the CopilotKit team for collaborating with me on this deep dive.

We are witnessing a fundamental shift in how software is built. Over the decades, UI was static and predictable. But AI is changing the fundamental nature of the interface. We are moving away from fixed UI and toward a new standard: Generative UI. Generative UI lets agents participate in the UI, not just the conversation. It’s a dynamic participant in the user experience. Depending on the complexity of your app, Generative UI generally falls into three categories: 1. Static (AG-UI): UI is chosen from a fixed set of hand-built components 2. Open-Ended (MCP Apps): agent sends arbitrary content like raw HTML or iframes for total flexibility. 3. Declarative (A2UI): agent and frontend communicate via a structured UI spec for dynamic widgets and forms. The AG-UI Protocol by CopilotKit is the real breakthrough. AG-UI acts as the universal transport layer. It provides the integrations and middleware for every Gen-UI spec, making it trivial to bring dynamic components into your existing app. CopilotKit provides the go-to ecosystem for building agentic applications and is the React client of AG-UI. It is designed to be deeply integrated, allowing developers to bring their own frameworks or protocols to the table. Play around with different types of Generative UI here → Check out the video attached to see Generative UI in action. Appreciate the CopilotKit team for collaborating with me on this deep dive.

Pratham

33,920 次观看 • 7 个月前

Alan Oppenheim, MIT professor: "Every trader alive uses a moving average. Almost none of them know it's a filter, and funds pay quants $600K for the version they were never taught." a moving average is a filter. it smooths a jumpy price to reveal the slower signal hiding underneath. that is all it is, and it is the bluntest one there is. the same math gives you filters that lag less and cut more noise, and that gap is a real edge. this is the second half of what Simons was doing. first you accept the market is a signal buried in noise. then you build the filter that reads it, and the moving average on your chart is the crudest possible version. Oppenheim builds the real ones at the board in this lecture. here is the catch. a filter only helps if there is a real signal under the noise. smooth pure randomness and you will see a beautiful trend that means nothing. the filter is free. knowing there is a real signal worth filtering is the edge.

Alan Oppenheim, MIT professor: "Every trader alive uses a moving average. Almost none of them know it's a filter, and funds pay quants $600K for the version they were never taught." a moving average is a filter. it smooths a jumpy price to reveal the slower signal hiding underneath. that is all it is, and it is the bluntest one there is. the same math gives you filters that lag less and cut more noise, and that gap is a real edge. this is the second half of what Simons was doing. first you accept the market is a signal buried in noise. then you build the filter that reads it, and the moving average on your chart is the crudest possible version. Oppenheim builds the real ones at the board in this lecture. here is the catch. a filter only helps if there is a real signal under the noise. smooth pure randomness and you will see a beautiful trend that means nothing. the filter is free. knowing there is a real signal worth filtering is the edge.

Rossst.03

214,907 次观看 • 1 个月前

Anthropic's in trouble, again! They spent years building what's now fully open-source. What made Claude feel different from a normal app is that the agent could act inside the interface instead of only talking in a chat box. For instance, Claude Artifacts let an agent render real UI, charts, dashboards, and interactive components that assemble live inside the response. Every major AI product tried to replicate it. But the problem was that unlike reasoning, planning, tool-calling, etc., none of it shipped natively with LangGraph, CrewAI, or Google ADK. So teams started building an owned version that required engineering the entire interface layer from scratch. Most teams, however, just settled for shipping the agent as a backend API in a chat box since rendering the UI is only one piece of it. To actually make it work, the interface layer also needed real-time streaming, state kept in sync between agent and UI, conversations that persist across sessions, and reconnection when a user refreshes mid-run. CopilotKit🪁 is now the only open-source framework that actually lets you build your own full-stack Claude-like apps. It decouples the agent from the interface, talking over AG-UI (an open protocol for agent-to-user communication). Being a standard protocol, the frontend never needs to know whether it is talking to a LangGraph or a CrewAI agent. You can change the backend anytime and the UI will never notice. In practice, CopilotKit's interface layer gives several pre-implemented React building blocks that wire the agent directly into the app, like: - generative UI, so the agent renders real components instead of text - chat windows, sidebars, and popups, or a fully headless setup - shared state, so the agent and app stay in sync - human-in-the-loop approvals, where the agent waits before acting - persistent threads that store the whole session, including the agent-user interactions and generated UI, not just text And because that full history is captured, those interactions can feed a self-learning layer that also improves the agent from real usage over time. The interface layer that Anthropic spent years engineering in-house is now literally available to any developer/team. CopilotKit is open-source with 30k+ GitHub stars, and AG-UI, the protocol underneath, is already supported across every major agent framework: LangGraph, CrewAI, Mastra, Google ADK, and more. CopilotKit GitHub repo → (don't forget to star it ⭐ ) If you want to go deeper, I found a detailed breakdown by Shubham Saboo recently on the three Generative UI patterns, with implementation. Read it below.

Anthropic's in trouble, again! They spent years building what's now fully open-source. What made Claude feel different from a normal app is that the agent could act inside the interface instead of only talking in a chat box. For instance, Claude Artifacts let an agent render real UI, charts, dashboards, and interactive components that assemble live inside the response. Every major AI product tried to replicate it. But the problem was that unlike reasoning, planning, tool-calling, etc., none of it shipped natively with LangGraph, CrewAI, or Google ADK. So teams started building an owned version that required engineering the entire interface layer from scratch. Most teams, however, just settled for shipping the agent as a backend API in a chat box since rendering the UI is only one piece of it. To actually make it work, the interface layer also needed real-time streaming, state kept in sync between agent and UI, conversations that persist across sessions, and reconnection when a user refreshes mid-run. CopilotKit🪁 is now the only open-source framework that actually lets you build your own full-stack Claude-like apps. It decouples the agent from the interface, talking over AG-UI (an open protocol for agent-to-user communication). Being a standard protocol, the frontend never needs to know whether it is talking to a LangGraph or a CrewAI agent. You can change the backend anytime and the UI will never notice. In practice, CopilotKit's interface layer gives several pre-implemented React building blocks that wire the agent directly into the app, like: - generative UI, so the agent renders real components instead of text - chat windows, sidebars, and popups, or a fully headless setup - shared state, so the agent and app stay in sync - human-in-the-loop approvals, where the agent waits before acting - persistent threads that store the whole session, including the agent-user interactions and generated UI, not just text And because that full history is captured, those interactions can feed a self-learning layer that also improves the agent from real usage over time. The interface layer that Anthropic spent years engineering in-house is now literally available to any developer/team. CopilotKit is open-source with 30k+ GitHub stars, and AG-UI, the protocol underneath, is already supported across every major agent framework: LangGraph, CrewAI, Mastra, Google ADK, and more. CopilotKit GitHub repo → (don't forget to star it ⭐ ) If you want to go deeper, I found a detailed breakdown by Shubham Saboo recently on the three Generative UI patterns, with implementation. Read it below.

Avi Chawla

458,882 次观看 • 2 个月前

THIS IS ANDREJ KARPATHY'S OBSIDIAN VAULT : THE BRAIN ANTHROPIC JUST HIRED FOR MILLIONS This is every idea, every decision and every connection he's made over years of work, visualized in real time. Everything else gets lost. The pattern you noticed last March. The connection between two problems you solved a year apart. The idea that would've changed everything if you'd remembered it in the room. This system keeps all of it. Every note links to another. Every link becomes a path. Every path is a decision he can retrace in seconds while everyone else starts from zero. Thousands of nodes. Hundreds of live connections. Years of thinking that never decayed, never died in a Slack thread, never got buried in a meeting nobody remembers. The breakthroughs aren't luck. They're the system handing him back a link he made eighteen months ago and forgot he had. No team. No wiki. No standups. One person and a tool that remembers everything he can't. Most people open Obsidian and make three notes they never open again. He built an operating system for his own thinking. Anthropic just paid millions for the output - this is the machine that produced it.

THIS IS ANDREJ KARPATHY'S OBSIDIAN VAULT : THE BRAIN ANTHROPIC JUST HIRED FOR MILLIONS This is every idea, every decision and every connection he's made over years of work, visualized in real time. Everything else gets lost. The pattern you noticed last March. The connection between two problems you solved a year apart. The idea that would've changed everything if you'd remembered it in the room. This system keeps all of it. Every note links to another. Every link becomes a path. Every path is a decision he can retrace in seconds while everyone else starts from zero. Thousands of nodes. Hundreds of live connections. Years of thinking that never decayed, never died in a Slack thread, never got buried in a meeting nobody remembers. The breakthroughs aren't luck. They're the system handing him back a link he made eighteen months ago and forgot he had. No team. No wiki. No standups. One person and a tool that remembers everything he can't. Most people open Obsidian and make three notes they never open again. He built an operating system for his own thinking. Anthropic just paid millions for the output - this is the machine that produced it.

Avid

64,799 次观看 • 2 个月前

Claude Mythos / Oceanus is insane see the level of detail using Three.js (from jsDelivr).HTML and a custom meshing engine it made (in like 5 minutes and low effort thinking level) Credit to Lentils and z..AI , this is so good people are not realising it yet 😭

Claude Mythos / Oceanus is insane see the level of detail using Three.js (from jsDelivr).HTML and a custom meshing engine it made (in like 5 minutes and low effort thinking level) Credit to Lentils and z..AI , this is so good people are not realising it yet 😭

Chetaslua

99,843 次观看 • 2 个月前

Corruption is not a footnote in Kenya's problems. It IS the problem. Every hospital without medicine, every road that crumbles, every child without a teacher — trace it back and you will find stolen money. Zero tolerance is not a slogan. It is policy. #Ukombozi #EndImpunity

Corruption is not a footnote in Kenya's problems. It IS the problem. Every hospital without medicine, every road that crumbles, every child without a teacher — trace it back and you will find stolen money. Zero tolerance is not a slogan. It is policy. #Ukombozi #EndImpunity

David Maraga

17,926 次观看 • 28 天前

Parents from around the world open up about the emotions that come with raising a child. It is honest, it is unfiltered and it is real. Share what helps you as a parent. #EarlyMomentsMatter

Parents from around the world open up about the emotions that come with raising a child. It is honest, it is unfiltered and it is real. Share what helps you as a parent. #EarlyMomentsMatter

UNICEF

16,859 次观看 • 2 个月前

I made a Claude Code skill that turns any arxiv paper into working code. Every line traces back to the paper section it came from & any implementation detail the paper skips will be flagged, and not assumed. open sourcing it -

I made a Claude Code skill that turns any arxiv paper into working code. Every line traces back to the paper section it came from & any implementation detail the paper skips will be flagged, and not assumed. open sourcing it -

pdawg

207,788 次观看 • 4 个月前

Aluan Wang believes "all we really have left is process." He built inkField to capture the act of painting itself. It is a live system where you can draw, record your gestures, and watch the ink breathe. It is live for you to touch. ↓ ↓ ↓

Aluan Wang believes "all we really have left is process." He built inkField to capture the act of painting itself. It is a live system where you can draw, record your gestures, and watch the ink breathe. It is live for you to touch. ↓ ↓ ↓

Lonliboy

20,243 次观看 • 4 个月前

Grok Code generates the most aesthetic UI/UX Design Built a stunning carousel with mesmerizing hover effects & glows - just 2 prompts in Kilo Code, and it nailed every detail Grok Code created Frosty esthetics - snowflakes, glassy vibes, everything I asked for, for a live feel Animated and interactive elements, clickable 𝕏 profile and links everything perfectly connected, super smooth, and insanely responsive Grok Code also created a stunning side-show, smooth transitions, glowing borders with Grok Imagine images It is straight-up a powerhouse for visual code and pure UI magic

X Freeze

1,104,181 次观看 • 10 个月前