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<Form :form /> ✨ That's it. Backend-populated, or composed in the frontend. CSS-variable theming. Cohesively tuned components. Presenters split from composables/hooks. Override or extend. Integrates with Laravel validation, Precognition, uploads/storage, and model binding.

Pascal Baljet

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21,048 views • 1 month ago •via X (Twitter)

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Built a podcast clipping app with Inkling from Thinking Machines ✨ The model is exceptional at reasoning over long-form audio - so I have it listen to full episodes and direct FFMPEG on which clips to cut. You can have it choose the best moments or search for specific topics 👇

Built a podcast clipping app with Inkling from Thinking Machines ✨ The model is exceptional at reasoning over long-form audio - so I have it listen to full episodes and direct FFMPEG on which clips to cut. You can have it choose the best moments or search for specific topics 👇

Justine Moore

69,473 views • 1 month ago

Storage just stole the show. Between KV cache offload and SSD prices going vertical, storage went from afterthought to headliner. Vik Malyala walks through Supermicro's storage stack. "Storage, whether it be for KV cache offload or just the incredible rise in cost of SSDs, is the primary thing to focus on for a lot of users." "Initially it started with the form factors. You have U.2s that were popular, or still are popular for that matter. Then you have E1.S and E3.S drives, mainly because of the density that we can bring in a 1U or 2U form factor. And we have come up with so-called Petascale solutions, which you can get a very good balance between the amount of storage, the storage bandwidth as IO bandwidth." "Hardware is only one part of it, but what we are doing is working with the likes of VAST, WEKA, DDN, Qumulo, OSNEXUS and every one of these software vendors. We are able to bring different types of software defined storage into customer environments so that you don't necessarily get stuck with traditional storage. So super exciting times for that."

Storage just stole the show. Between KV cache offload and SSD prices going vertical, storage went from afterthought to headliner. Vik Malyala walks through Supermicro's storage stack. "Storage, whether it be for KV cache offload or just the incredible rise in cost of SSDs, is the primary thing to focus on for a lot of users." "Initially it started with the form factors. You have U.2s that were popular, or still are popular for that matter. Then you have E1.S and E3.S drives, mainly because of the density that we can bring in a 1U or 2U form factor. And we have come up with so-called Petascale solutions, which you can get a very good balance between the amount of storage, the storage bandwidth as IO bandwidth." "Hardware is only one part of it, but what we are doing is working with the likes of VAST, WEKA, DDN, Qumulo, OSNEXUS and every one of these software vendors. We are able to bring different types of software defined storage into customer environments so that you don't necessarily get stuck with traditional storage. So super exciting times for that."

SemiAnalysis

61,919 views • 26 days ago

I built a form → professional summary app with AI (here’s how I did it in minutes) steps: → Go to → Write your idea simply → Click "create." What I prompted: "Build a simple app where users fill a short form and the app converts their answers into a clean, professional summary. show results instantly, minimal UI, deploy live." Replit ⠕ generated: → working frontend → backend + database → authentication → instant hosting → mobile compatible all automated. Replit handled: code, database, servers, security, deployment. What takes hours manually… Replit shipped in minutes. Build on a phone or a laptop create from anywhere. Start now:

I built a form → professional summary app with AI (here’s how I did it in minutes) steps: → Go to → Write your idea simply → Click "create." What I prompted: "Build a simple app where users fill a short form and the app converts their answers into a clean, professional summary. show results instantly, minimal UI, deploy live." Replit ⠕ generated: → working frontend → backend + database → authentication → instant hosting → mobile compatible all automated. Replit handled: code, database, servers, security, deployment. What takes hours manually… Replit shipped in minutes. Build on a phone or a laptop create from anywhere. Start now:

sabir hussain

22,119 views • 7 months ago

Back in 1979, I believe Brian Clough gave his best interview with John Motson asking the questions. Cloughie was in great form. They should show this interview to the likes of Sky, TNT, Match Of The Day, etc., because their presenters and so-called pundits would probably learn a thing or two from the great man. Because let’s face it…he was right!

Back in 1979, I believe Brian Clough gave his best interview with John Motson asking the questions. Cloughie was in great form. They should show this interview to the likes of Sky, TNT, Match Of The Day, etc., because their presenters and so-called pundits would probably learn a thing or two from the great man. Because let’s face it…he was right!

TV Football 1968-92

384,536 views • 9 months ago

New Example! We built a fullstack open “Deep Research” quickstart for Google DeepMind Gemini 2.5. It dynamically searches the web, reflects on results, and delivers comprehensive answers with citations in a nice UI with streaming! Built using React and LangChain Langgraph! 🚀 TL;DR: 🔄 Agent iteratively loops through research and reflection until it gathers sufficient information. 🔍 Dynamic query generation, web research via Gemini native Google Search tool, and reflective reasoning. 🧠 Supports different search effors (low, medium, high) for width and depth of search 🛠️ React frontend, LangGraph backend, Tailwind CSS + Shadcn UI components. 🐳 Easily run locally or deploy with Docker. 📄 Answers inlcude citations from gathered web sources.

New Example! We built a fullstack open “Deep Research” quickstart for Google DeepMind Gemini 2.5. It dynamically searches the web, reflects on results, and delivers comprehensive answers with citations in a nice UI with streaming! Built using React and LangChain Langgraph! 🚀 TL;DR: 🔄 Agent iteratively loops through research and reflection until it gathers sufficient information. 🔍 Dynamic query generation, web research via Gemini native Google Search tool, and reflective reasoning. 🧠 Supports different search effors (low, medium, high) for width and depth of search 🛠️ React frontend, LangGraph backend, Tailwind CSS + Shadcn UI components. 🐳 Easily run locally or deploy with Docker. 📄 Answers inlcude citations from gathered web sources.

Philipp Schmid

55,535 views • 1 year ago

new portfolio — 1,600+ images and videos of art I've made across various mediums over the last 4 years: • are.na-style grid with video & gallery image previews on hover, adjustable columns, shareable post links • hdr image + video support in the fullscreen viewer • tag filtering across medium, style, subject, technology, year & media type (stack tags to drill down further) • keyboard shortcuts - ‘c’ for toggling visibility of post captions, ’t’ for toggling sidebar visibility under the hood, I built a custom CMS to manage and view all media: • vanilla js, html, css - no framework or dependencies • static site + cloudflare workers (d1 database, r2 storage) • media processing happens in-browser at upload, keeping the backend small (~$5/mo for everything) • frontend admin portal for managing and publishing media hope you enjoy checking it out. the cube in the header spins if you drag or click it!

new portfolio — 1,600+ images and videos of art I've made across various mediums over the last 4 years: • are.na-style grid with video & gallery image previews on hover, adjustable columns, shareable post links • hdr image + video support in the fullscreen viewer • tag filtering across medium, style, subject, technology, year & media type (stack tags to drill down further) • keyboard shortcuts - ‘c’ for toggling visibility of post captions, ’t’ for toggling sidebar visibility under the hood, I built a custom CMS to manage and view all media: • vanilla js, html, css - no framework or dependencies • static site + cloudflare workers (d1 database, r2 storage) • media processing happens in-browser at upload, keeping the backend small (~$5/mo for everything) • frontend admin portal for managing and publishing media hope you enjoy checking it out. the cube in the header spins if you drag or click it!

Adam Fuhrer

75,253 views • 25 days ago

I work with shadcn/ui every day. I design with it, I build with it, and I see a lot of projects built with it. And honestly? Many of them look the same. Or worse - they look broken. Colors that clash. Fonts that don't pair. Dark modes that feel like an afterthought. The components themselves are great. The theming that people or AI make? Not so much. So I built a tool to fix that. I just launched my shadcn theme generator that will allow you to ship beautiful shadcn/ui themes in just 3-4 clicks. What it does: - Creates your entire color palette from 1 color (your hex or any tailwind color) - Works for light and dark theme - Only includes fonts that actually look good in UI - Font pairings I curated myself - Works for any project - landing page, dashboard, store - Has a color contast checker for the entire palette Too lazy? Just use random theme feature Done? Copy and paste the CSS to your global.css file or import to our Figma kit.

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✨ New to OptimAI and not sure how your content should look? Don’t worry, we’ve got you covered. You can easily guide OptimAI with Custom Instructions: 🌐 Choose your preferred languages (Chinese, Spanish, Korean, Japanese, and more) 🎙️ Set your tone & voice (professional, casual, witty, motivational…) 📏 Decide content length (short & punchy or long-form detail) 🎯 Tailor content to your specific interests Or… just let OptimAI do the magic. 🪄 It will learn from your profile, your writing style, and your past content — automatically personalizing everything for you. 👉 Start creating in your own voice, in any language, with OptimAI.

OptimAI

56,049 views • 11 months ago

how to evolve generative art 🦠✨👇 over the past weeks I built this toy 'proof-of-concept' example to explore and better understand how open-form generative art works, and discover some of the new archetypes it enables. In open-form genart each mint at the root of a project can define its own lineage: properties, traits, and characteristics that carry over to new editions evolved from it. For example, in this demo, the first parent defines the color palette that's used for the pixel pattern — these colors are then inherited by subsequent evolutions (with a random chance to alter a color or introduce a new one). But that's just scratching the tip of the iceberg — the REALLY COOL thing is that the root mint also specifies the rules that define how the pixel pattern morphs and changes over the course of its lineage! Meaning that each branch in this collection is its own unconstrained system, that evolves, and is explored by minting and evolving new editions. in this setting collectors play a huge role to explore the parametric space of the project ✨ on fxhash the UI will be much cleaner and more intuitive 🫧

how to evolve generative art 🦠✨👇 over the past weeks I built this toy 'proof-of-concept' example to explore and better understand how open-form generative art works, and discover some of the new archetypes it enables. In open-form genart each mint at the root of a project can define its own lineage: properties, traits, and characteristics that carry over to new editions evolved from it. For example, in this demo, the first parent defines the color palette that's used for the pixel pattern — these colors are then inherited by subsequent evolutions (with a random chance to alter a color or introduce a new one). But that's just scratching the tip of the iceberg — the REALLY COOL thing is that the root mint also specifies the rules that define how the pixel pattern morphs and changes over the course of its lineage! Meaning that each branch in this collection is its own unconstrained system, that evolves, and is explored by minting and evolving new editions. in this setting collectors play a huge role to explore the parametric space of the project ✨ on fxhash the UI will be much cleaner and more intuitive 🫧

Ahmad Moussa || Gorilla Sun

13,100 views • 1 year ago

If I had to start from zero tomorrow and bring in new customers fast, here's exactly what I'd build. Top to bottom. I'd start with the ad. Open ChatGPT or Claude, paste in what you sell and who you sell it to, ask it to write you ten different hooks for a Meta ad. Pick the best three. Then jump into or one of the AI video tools and have it generate the visual. Thirty minutes, you've got a real ad ready to run. You run that ad to one landing page. Not your homepage. One page, one offer, one call to action. Headline that stops the scroll, a few lines of value, an email or phone field, a button. That's it. Build it in HighLevel in about twenty minutes, drag, drop, you're done. The second someone enters their email, they drop into your CRM, automatically tagged with where they came from. Now the part most people skip, the follow-up. The moment that form is filled, a sequence kicks off automatically. Email and SMS, spaced over five to seven days. First message thanks them and delivers what you promised. Then a story. Then social proof. Then an objection you know they have. Then the offer. They don't have to think about you. You're showing up in their inbox and their texts at exactly the right time. The last message has a calendar link or a buy button right inside it. They tap, they book, or they buy. Done. The whole flow runs on its own from the ad all the way to the sale. You build it once. It works while you're sleeping. AI does the creative work. The system runs the customer journey. You spend your time on strategy. That's the play.

If I had to start from zero tomorrow and bring in new customers fast, here's exactly what I'd build. Top to bottom. I'd start with the ad. Open ChatGPT or Claude, paste in what you sell and who you sell it to, ask it to write you ten different hooks for a Meta ad. Pick the best three. Then jump into or one of the AI video tools and have it generate the visual. Thirty minutes, you've got a real ad ready to run. You run that ad to one landing page. Not your homepage. One page, one offer, one call to action. Headline that stops the scroll, a few lines of value, an email or phone field, a button. That's it. Build it in HighLevel in about twenty minutes, drag, drop, you're done. The second someone enters their email, they drop into your CRM, automatically tagged with where they came from. Now the part most people skip, the follow-up. The moment that form is filled, a sequence kicks off automatically. Email and SMS, spaced over five to seven days. First message thanks them and delivers what you promised. Then a story. Then social proof. Then an objection you know they have. Then the offer. They don't have to think about you. You're showing up in their inbox and their texts at exactly the right time. The last message has a calendar link or a buy button right inside it. They tap, they book, or they buy. Done. The whole flow runs on its own from the ad all the way to the sale. You build it once. It works while you're sleeping. AI does the creative work. The system runs the customer journey. You spend your time on strategy. That's the play.

Neil Patel

39,323 views • 1 month ago

I've been building a music player with Next.js for fun. Here's a quick demo of how it works (it's open source!) • Demo: • Code: If you want to learn more about how it's built, here's more details ↓ I'm using Postgres (with Drizzle) to store information about the songs and playlists. Audio and image files are stored in Vercel Blob (object storage), and the URLs are then referenced in the database. For the UI, I'm using shadcn/ui (so Tailwind CSS and Radix). This made it easy to copy/paste in some nice components, like the dropdown menus. I built the entire first version of the UI in v0 and then iterated from there, feeding it my Drizzle schema as a source in the project and having it scaffold some of the boilerplate for me: I added support for keyboard navigation (using arrow keys) or vim motions (j/k to go up/down, and h/l to go between playlists and tracks). Also, space to toggle the now playing song, and / to focus the search input. The search function has a nice utility to highlight the currently searched text on the page in yellow. Then, I was exploring how to pass metadata from my application to macOS or iOS. Turns out there's an API for that – MediaSession. Web apps can share metadata about what media is playing (title, artist, album artwork) and sync play/pause/seek with system media controls. Works across modern browsers — even integrates with iOS dynamic island and shows up on lock screens: I set up my app like a PWA – it has a manifest.json file, so it can be installed to my iOS home screen or added to my dock on macOS. On iOS, it then uses the full screen height `100dvh` (dynamic viewport) and has padding on the bottom for the safe area with the `env()` CSS function. Finally, I was able to use the Vercel AI SDK in a script to clean up the metadata on audio files I downloaded from YouTube. Bonus: I even was able to dogfood the React Compiler, which helped me fix a performance bug! That's all! It's fun to make personal software:

I've been building a music player with Next.js for fun. Here's a quick demo of how it works (it's open source!) • Demo: • Code: If you want to learn more about how it's built, here's more details ↓ I'm using Postgres (with Drizzle) to store information about the songs and playlists. Audio and image files are stored in Vercel Blob (object storage), and the URLs are then referenced in the database. For the UI, I'm using shadcn/ui (so Tailwind CSS and Radix). This made it easy to copy/paste in some nice components, like the dropdown menus. I built the entire first version of the UI in v0 and then iterated from there, feeding it my Drizzle schema as a source in the project and having it scaffold some of the boilerplate for me: I added support for keyboard navigation (using arrow keys) or vim motions (j/k to go up/down, and h/l to go between playlists and tracks). Also, space to toggle the now playing song, and / to focus the search input. The search function has a nice utility to highlight the currently searched text on the page in yellow. Then, I was exploring how to pass metadata from my application to macOS or iOS. Turns out there's an API for that – MediaSession. Web apps can share metadata about what media is playing (title, artist, album artwork) and sync play/pause/seek with system media controls. Works across modern browsers — even integrates with iOS dynamic island and shows up on lock screens: I set up my app like a PWA – it has a manifest.json file, so it can be installed to my iOS home screen or added to my dock on macOS. On iOS, it then uses the full screen height `100dvh` (dynamic viewport) and has padding on the bottom for the safe area with the `env()` CSS function. Finally, I was able to use the Vercel AI SDK in a script to clean up the metadata on audio files I downloaded from YouTube. Bonus: I even was able to dogfood the React Compiler, which helped me fix a performance bug! That's all! It's fun to make personal software:

Lee Robinson

118,242 views • 1 year ago

Ayurgenomics is the attempt to retrofit modern genomics onto Ayurvedic imaginary constitutional types (Prakriti), claiming that ancient classifications like Vata, Pitta, and Kapha map onto meaningful genetic or molecular categories. But this is scientifically unfounded. The studies on Ayurgenomics are typically poorly designed, and rely on cherry-picked correlations that do not survive rigorous replication or independent validation. Dressing up pre-scientific belief systems in the language of genomics does not make them scientific; it is a form of intellectual fraud that exploits the credibility of modern biology to legitimize claims that were never derived from evidence in the first place. When we allow pseudoscience to be retrofitted with real science, we corrupt the scientific process itself and mislead the public into trusting interventions that have no proven basis in biology.

Ayurgenomics is the attempt to retrofit modern genomics onto Ayurvedic imaginary constitutional types (Prakriti), claiming that ancient classifications like Vata, Pitta, and Kapha map onto meaningful genetic or molecular categories. But this is scientifically unfounded. The studies on Ayurgenomics are typically poorly designed, and rely on cherry-picked correlations that do not survive rigorous replication or independent validation. Dressing up pre-scientific belief systems in the language of genomics does not make them scientific; it is a form of intellectual fraud that exploits the credibility of modern biology to legitimize claims that were never derived from evidence in the first place. When we allow pseudoscience to be retrofitted with real science, we corrupt the scientific process itself and mislead the public into trusting interventions that have no proven basis in biology.

TheLiverDoc™

45,260 views • 5 months ago

An ultra compact, high precision industrial robot arm. This one stood out to me because it targets a part of automation that is usually glossed over. Extreme precision in very small spaces. According to Oleksandr Stepanenko, the arm is designed from the ground up with fully custom electronics, software, and calibration, paired with industrial components from Harmonic Drive and maxon. Reported specs are notable: • Repeatability better than 0.001 mm • Payload 250 g • Reach 250 mm • Total mass 1.5 kg This kind of form factor opens up use cases that traditional industrial arms struggle with. Think PCB assembly, micro soldering, precision pick and place of irregular parts, and medical or micro robotics components. ❗️What I find interesting is not just the numbers, but the direction… Smaller, lighter, highly precise systems could unlock automation in environments where space, inertia, and tolerance are the real constraints. Credit to Oleksandr Stepanenko for the original work and post. —- Weekly robotics and AI insights. Subscribe free:

An ultra compact, high precision industrial robot arm. This one stood out to me because it targets a part of automation that is usually glossed over. Extreme precision in very small spaces. According to Oleksandr Stepanenko, the arm is designed from the ground up with fully custom electronics, software, and calibration, paired with industrial components from Harmonic Drive and maxon. Reported specs are notable: • Repeatability better than 0.001 mm • Payload 250 g • Reach 250 mm • Total mass 1.5 kg This kind of form factor opens up use cases that traditional industrial arms struggle with. Think PCB assembly, micro soldering, precision pick and place of irregular parts, and medical or micro robotics components. ❗️What I find interesting is not just the numbers, but the direction… Smaller, lighter, highly precise systems could unlock automation in environments where space, inertia, and tolerance are the real constraints. Credit to Oleksandr Stepanenko for the original work and post. —- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

74,345 views • 8 months ago

Anthropic's most viral feature is now open-source! Until now, Anthropic's Generative UI capabilities only existed inside its own products. CopilotKit🪁 just shipped Open Generative UI, an open-source implementation of Claude Artifacts that works in any app. The agent generates HTML/SVG at runtime, and CopilotKit streams it token-by-token into a sandboxed iframe inside the app's chat. So the user can watch the UI assemble itself in real time, not after the full response is ready. The sandbox is fully isolated with no access to the parent app, the DOM, or user data. So if the agent hallucinates broken markup or unexpected JavaScript, nothing leaks outside the iframe. Under the hood, the agent does not select from pre-built components. Instead, it generates arbitrary visuals from scratch every time. The output is unconstrained by default, but you can shape it by defining prompt-based skills that teach the agent specific visual formats or guidelines. For instance, a skill prompt can guide the agent toward producing a Chart.js dashboard with proper axis labels and responsive sizing, or an interactive 3D model with rotation controls. The video below shows this in action, and the output quality you see actually comes from the skills layer. Open Generative UI runs on AG-UI, so it works out of the box with LangGraph, CrewAI, Mastra, Google ADK, AWS Strands, and more. It also ships with a standalone MCP server that plugs into Claude Code, Cursor, or any MCP-compatible client. And the entire stack is built on top of CopilotKit, the open-source frontend framework for agents and generative UI. 30k+ GitHub stars, with SDKs for React, Next.js, Angular, and Vue. I have shared the GitHub repo and a live playground in the replies!

Anthropic's most viral feature is now open-source! Until now, Anthropic's Generative UI capabilities only existed inside its own products. CopilotKit🪁 just shipped Open Generative UI, an open-source implementation of Claude Artifacts that works in any app. The agent generates HTML/SVG at runtime, and CopilotKit streams it token-by-token into a sandboxed iframe inside the app's chat. So the user can watch the UI assemble itself in real time, not after the full response is ready. The sandbox is fully isolated with no access to the parent app, the DOM, or user data. So if the agent hallucinates broken markup or unexpected JavaScript, nothing leaks outside the iframe. Under the hood, the agent does not select from pre-built components. Instead, it generates arbitrary visuals from scratch every time. The output is unconstrained by default, but you can shape it by defining prompt-based skills that teach the agent specific visual formats or guidelines. For instance, a skill prompt can guide the agent toward producing a Chart.js dashboard with proper axis labels and responsive sizing, or an interactive 3D model with rotation controls. The video below shows this in action, and the output quality you see actually comes from the skills layer. Open Generative UI runs on AG-UI, so it works out of the box with LangGraph, CrewAI, Mastra, Google ADK, AWS Strands, and more. It also ships with a standalone MCP server that plugs into Claude Code, Cursor, or any MCP-compatible client. And the entire stack is built on top of CopilotKit, the open-source frontend framework for agents and generative UI. 30k+ GitHub stars, with SDKs for React, Next.js, Angular, and Vue. I have shared the GitHub repo and a live playground in the replies!

Akshay 🚀

86,515 views • 3 months ago

Introducing @vidguyxyz: The Claude Code for Short-Form Video. Built as part of the Virtuals Protocol 60 days build in public program. Marketers and agents in today’s attention economy don't need to be filmmakers, editors or influencers. They need reliable tools that can consistently generate perfectly tuned viral content without having to code or set up complicated workflows. UGC, product demos, launch videos and more. All in one place! • Openclaw for production-grade AI orchestration • x402 for seamless payment settlement • Seedance (2.0) for state of the art output quality • Unique positioning in ACP • Proven revenue model • Real tokenutility + Buybacks • Some secret sauce Built with a decade of experience in viral growth under my belt and multiple 6-fig in profits from viral content. 60 days. Build in public. Full transparency. Feb 12 - 2:30pm GMT on Virtuals Protocol. Link in the comments below. The future of content is agentic.

Introducing @vidguyxyz: The Claude Code for Short-Form Video. Built as part of the Virtuals Protocol 60 days build in public program. Marketers and agents in today’s attention economy don't need to be filmmakers, editors or influencers. They need reliable tools that can consistently generate perfectly tuned viral content without having to code or set up complicated workflows. UGC, product demos, launch videos and more. All in one place! • Openclaw for production-grade AI orchestration • x402 for seamless payment settlement • Seedance (2.0) for state of the art output quality • Unique positioning in ACP • Proven revenue model • Real tokenutility + Buybacks • Some secret sauce Built with a decade of experience in viral growth under my belt and multiple 6-fig in profits from viral content. 60 days. Build in public. Full transparency. Feb 12 - 2:30pm GMT on Virtuals Protocol. Link in the comments below. The future of content is agentic.

Yas

17,784 views • 6 months ago

ARE STUDS NONBINARY? What do y’all think? Today on “Outlaws,” Ts Madison is joined by actor, model, songwriter, producer, trans icon, Taylor Swift music video star, Drag Race Pit Crew alumnus, and Miss Mary’s celebrity crush… Laith Ashley‼️❤️ Laith and Madison get into it ALL, from early experiences with gender nonconformity, to studs, T4T relationships, decolonization, the fetishization of trans men, and how EVERYONE undergoes gender affirming transitions in some form. Tap in to YouTube to watch the full episode, or listen wherever you get your podcasts — then join the conversation! 🔮🍿 🎥 Is It On Action News💄 iHeartRadio #tsmadison #laithashley #trans #gender #nonbinary

ARE STUDS NONBINARY? What do y’all think? Today on “Outlaws,” Ts Madison is joined by actor, model, songwriter, producer, trans icon, Taylor Swift music video star, Drag Race Pit Crew alumnus, and Miss Mary’s celebrity crush… Laith Ashley‼️❤️ Laith and Madison get into it ALL, from early experiences with gender nonconformity, to studs, T4T relationships, decolonization, the fetishization of trans men, and how EVERYONE undergoes gender affirming transitions in some form. Tap in to YouTube to watch the full episode, or listen wherever you get your podcasts — then join the conversation! 🔮🍿 🎥 Is It On Action News💄 iHeartRadio #tsmadison #laithashley #trans #gender #nonbinary

"Outlaws" with TS Madison

43,594 views • 7 months ago

Kimi K3's weights are free to download. Almost nobody on earth can actually run them. 2.8 trillion parameters. The download is the easy part. Open weights used to mean you could self-host. At this scale it means you can read the file. So people download it and call the API anyway. Daily revenue up at least 6x since launch. Openness stopped being the opposite of a business model. It became the top of the funnel. The license says the quiet part. Past $20M in revenue you negotiate a contract. Past 100M users you display their name. Free for the developer. A contract for anyone the model actually earns from. And publishing the weights kills the argument before it starts. Nobody can claim the benchmarks were cooked. Independent indexes put K3 top three overall and first in frontend coding, with no one taking Moonshot's word for it. That's the whole trade. Give away the artifact, keep the infrastructure, get the audit for free. Check the last open model you praised. Ask whether you could serve it, or only download it.

Kimi K3's weights are free to download. Almost nobody on earth can actually run them. 2.8 trillion parameters. The download is the easy part. Open weights used to mean you could self-host. At this scale it means you can read the file. So people download it and call the API anyway. Daily revenue up at least 6x since launch. Openness stopped being the opposite of a business model. It became the top of the funnel. The license says the quiet part. Past $20M in revenue you negotiate a contract. Past 100M users you display their name. Free for the developer. A contract for anyone the model actually earns from. And publishing the weights kills the argument before it starts. Nobody can claim the benchmarks were cooked. Independent indexes put K3 top three overall and first in frontend coding, with no one taking Moonshot's word for it. That's the whole trade. Give away the artifact, keep the infrastructure, get the audit for free. Check the last open model you praised. Ask whether you could serve it, or only download it.

wast3

61,275 views • 4 days ago

We've officially released and open-sourced HunyuanImage 2.1, our latest text-to-image model. The new model delivers on our commitment to balancing performance and quality. With native 2K image generation, HunyuanImage 2.1 is an advanced open-source text-to-image model.🎨 ✨ New in 2.1: 🔹Advanced Semantics: Supports ultra-long and complex prompts of up to 1000 tokens, and precisely controls the generation of multiple subjects in a single image. 🔹Precise Chinese and English Text Rendering with seamless image–text integration: The model naturally integrates text into images, making it suitable for a wide range of applications such as product covers, illustrations, and poster design to meet the needs of various fields. 🔹Rich Styles and High Aesthetic: Capable of generating images in various styles—including photorealistic portraits, comics, and vinyl figures—it delivers outstanding visual appeal and artistic quality. 🔹High-Quality Generation: Efficiently produces ultra-high-definition (2K) images in the same time other models take to generate a 1K image. HunyuanImage 2.1 uses two text encoders: a multimodal large language model (MLLM) to improve the model's image and text alignment capabilities, and a multi-language character-aware encoder to improve text rendering capabilities. The model is a single- and double-stream diffusion transformer with 17B parameters. We've also open-sourced the weights of the the accelerated version with meanflow which reduces inference steps from 100 to just 8, and PromptEnhancer, the first industrial-grade rewriting model that enhances your prompts for more nuanced and expressive image generation. Now, creators turn complex ideas—like posters with slogans or multi-panel comics—into visuals faster than ever. We’re just getting started. Stay tuned for our native multimodal image generation model coming soon. 🌐Website: 🔗Github: 🤗Hugging Face: ✨Hugging Face Demo:

We've officially released and open-sourced HunyuanImage 2.1, our latest text-to-image model. The new model delivers on our commitment to balancing performance and quality. With native 2K image generation, HunyuanImage 2.1 is an advanced open-source text-to-image model.🎨 ✨ New in 2.1: 🔹Advanced Semantics: Supports ultra-long and complex prompts of up to 1000 tokens, and precisely controls the generation of multiple subjects in a single image. 🔹Precise Chinese and English Text Rendering with seamless image–text integration: The model naturally integrates text into images, making it suitable for a wide range of applications such as product covers, illustrations, and poster design to meet the needs of various fields. 🔹Rich Styles and High Aesthetic: Capable of generating images in various styles—including photorealistic portraits, comics, and vinyl figures—it delivers outstanding visual appeal and artistic quality. 🔹High-Quality Generation: Efficiently produces ultra-high-definition (2K) images in the same time other models take to generate a 1K image. HunyuanImage 2.1 uses two text encoders: a multimodal large language model (MLLM) to improve the model's image and text alignment capabilities, and a multi-language character-aware encoder to improve text rendering capabilities. The model is a single- and double-stream diffusion transformer with 17B parameters. We've also open-sourced the weights of the the accelerated version with meanflow which reduces inference steps from 100 to just 8, and PromptEnhancer, the first industrial-grade rewriting model that enhances your prompts for more nuanced and expressive image generation. Now, creators turn complex ideas—like posters with slogans or multi-panel comics—into visuals faster than ever. We’re just getting started. Stay tuned for our native multimodal image generation model coming soon. 🌐Website: 🔗Github: 🤗Hugging Face: ✨Hugging Face Demo:

Tencent Hy

89,257 views • 11 months ago

Update from Trump - "art of the deal" continues. Trump has used similar optimistic language before about backchannel progress, emphasizing that Iran "wants to make a deal" to end the conflict. In remarks and posts, Trump described Iran providing the U.S. with a "very big present worth a tremendous amount of money" specifically tied to oil and gas. He framed it as a positive development showing that Iran is "eager to make a deal" and that the U.S. is "dealing with the right people." He linked it to the outreach and discussions that led him to extend deadlines on potential strikes (including on Iranian power plants) and to pause certain military actions. No specific details were given publicly on exactly what the "present" entails possibilities being floated in coverage include: - Access to Iranian oil/gas supplies or fields - A concession on energy exports - Some form of sanctions-related arrangement or revenue-sharing idea - Or a broader economic gesture tied to reopening the strait It's classic Trump-style deal-making rhetoric portraying a concession or olive branch from the other side as a major win for the U.S. The "tremendous amount of money" likely refers to the economic value of whatever energy-related arrangement is under discussion. Expect more detail to follow today.

Update from Trump - "art of the deal" continues. Trump has used similar optimistic language before about backchannel progress, emphasizing that Iran "wants to make a deal" to end the conflict. In remarks and posts, Trump described Iran providing the U.S. with a "very big present worth a tremendous amount of money" specifically tied to oil and gas. He framed it as a positive development showing that Iran is "eager to make a deal" and that the U.S. is "dealing with the right people." He linked it to the outreach and discussions that led him to extend deadlines on potential strikes (including on Iranian power plants) and to pause certain military actions. No specific details were given publicly on exactly what the "present" entails possibilities being floated in coverage include: - Access to Iranian oil/gas supplies or fields - A concession on energy exports - Some form of sanctions-related arrangement or revenue-sharing idea - Or a broader economic gesture tied to reopening the strait It's classic Trump-style deal-making rhetoric portraying a concession or olive branch from the other side as a major win for the U.S. The "tremendous amount of money" likely refers to the economic value of whatever energy-related arrangement is under discussion. Expect more detail to follow today.

MartyParty

20,269 views • 4 months ago

growing your Twitch stream means posting short-form video on TikTok/Shorts/Reels. love it or hate it, that's the reality now. "at least one video a day" you hear everywhere. you probably already know this. you probably feel guilty for not posting enough. THAT ENDS NOW Shortify was just released into Early Access, and it changes the dynamic entirely. you already create mountains of content every time you go live. you just need help getting it out. the Highlight Hunter from FrostyTools already does incredible work finding those great moments for you at the press of a button. now, you can Shortify any of those hunted clips into a postable vertical video for short-form content, complete with dead air removal, advanced captions, attention-keeping cuts, and dynamic focus. these are the "daily vitamins" of content. you have to keep up with them every day, but they bring huge benefits when you do. you probably just don't have the time to keep up with it, especially if you're still learning how. it doesn't have to be like that anymore! if you're already editing, this can free up your time and focus to work on more ambitious projects, especially longer-form content. using it is SUPER easy: - sign into your FrostyTools dashboard via your Twitch account - run the Highlight Hunter on one of your VODs (or go to a hunted VOD if you already use it) - hit the 'Shortify' button on the moments you like best for your socials - in a minute or two, have your Shortified video ready to download and post! remember: you already make tons of content, you just need tools to get it out!

growing your Twitch stream means posting short-form video on TikTok/Shorts/Reels. love it or hate it, that's the reality now. "at least one video a day" you hear everywhere. you probably already know this. you probably feel guilty for not posting enough. THAT ENDS NOW Shortify was just released into Early Access, and it changes the dynamic entirely. you already create mountains of content every time you go live. you just need help getting it out. the Highlight Hunter from FrostyTools already does incredible work finding those great moments for you at the press of a button. now, you can Shortify any of those hunted clips into a postable vertical video for short-form content, complete with dead air removal, advanced captions, attention-keeping cuts, and dynamic focus. these are the "daily vitamins" of content. you have to keep up with them every day, but they bring huge benefits when you do. you probably just don't have the time to keep up with it, especially if you're still learning how. it doesn't have to be like that anymore! if you're already editing, this can free up your time and focus to work on more ambitious projects, especially longer-form content. using it is SUPER easy: - sign into your FrostyTools dashboard via your Twitch account - run the Highlight Hunter on one of your VODs (or go to a hunted VOD if you already use it) - hit the 'Shortify' button on the moments you like best for your socials - in a minute or two, have your Shortified video ready to download and post! remember: you already make tons of content, you just need tools to get it out!

Ken aka Frosty

90,402 views • 6 months ago