Introducing @𝚓𝚜𝚘𝚗-𝚛𝚎𝚗𝚍𝚎𝚛/𝚛𝚎𝚊𝚌𝚝-𝚝𝚑𝚛𝚎𝚎-𝚏𝚒𝚋𝚎𝚛 A new renderer that turns JSON specs... into interactive R3F scenes Same catalog-driven approach, now for meshes, lights, models, environments, cameras, controls 19 built-in components and 12 demo scenesshow more

HTML enters 3D! Or vice versa? With the new... HTML in Canvas by WICG, we can finally put native DOM elements directly into WebGL/WebGPU scenes. It is experimental for now, but the possibilities for 3D interfaces and special effects are huge. This demo was built using Three.js and Omma AI (tool by Spline ) It’s a fun new way to explore what the web can do! Are you interested in seeing the demo?show more

NVIDIA AI Released DiffusionRenderer: An AI Model for Editable,... Photorealistic 3D Scenes from a Single Video In a groundbreaking new paper, researchers at NVIDIA, University of Toronto, Vector Institute and the University of Illinois Urbana-Champaign have unveiled a framework that directly tackles this challenge. DiffusionRenderer represents a revolutionary leap forward, moving beyond mere generation to offer a unified solution for understanding and manipulating 3D scenes from a single video. It effectively bridges the gap between generation and editing, unlocking the true creative potential of AI-driven content. DiffusionRenderer treats the “what” (the scene’s properties) and the “how” (the rendering) in one unified framework built on the same powerful video diffusion architecture that underpins models like Stable Video Diffusion..... Read full article here: Paper: GitHub Page: NVIDIA NVIDIA AI NVIDIAnewsroom NVIDIA AIDevshow more

With Hunyuan3D World Model 1.0 now released and open-sourced,... we're excited to showcase the technical highlights behind this impressive innovation: ✅360° Panoramic Generation: Creates complete, immersive “world scenes”, far beyond localized views. ✅Explorable 3D Scene Generation: Generates diverse, spatially consistent 3D worlds from text/image for truly immersive exploration. ✅Interactive/Editable: Achieves separation of foreground objects, background terrain, ground, and sky, for seamless secondary editing. ✅Exportable Mesh: Generated scenes can be exported as 3D meshes for direct import into mainstream game engines and modeling software. ✅Industry-Leading SOTA Evaluation: Surpasses state-of-the-art open-source models in generation quality. As the industry's first open-source model for physical simulation and explorable world generation, Hunyuan3D World Model 1.0 aims to foster a collaborative community ecosystem with developers and enthusiasts. ✨ Try it now: 🤗 Hugging Face:show more

My ads don't flop anymore. I found out exactly... what works. Turns out all the viral ads follow the same hook patterns (just adapted for different products in different scenes) Now I take any hook that already works, plug it into Arcads with my product image, and get a new ad with AI actors in seconds. Until last month, I was burning through $500+ every week, testing hooks by guessing. Now I just copy what's proven and launch the same day. And they work. They all work. I have curated a hook library with 100 ads and hooks that are a sure-shot recipe for virality. For the next 48 hours, I am giving it for free. RT + Comment "HOOKS" and I'll send you the library (must be following)show more

✨Introducing YesCheff is a web app that helps you... learn, cook, and enjoy your favorite recipes through step-by-step cooking guides built from real YouTube content. You can even use your own YouTube links. A small but special project where I brought all my capabilities together, from design (brand & product) to animation, and development. This project came from exploring how Al models parse data into frontend components and the development of generative interfaces. I designed and developed the structure through React components (HTML, CSS, JS) for the frontend and Node.js for the backend. This is a testament of how one could develop digital products in a less frustrating and more flexible way with the use of Al, particularly when it comes to getting the styling and functionality right. Now which foods are you eager to learn? Check it out at #YesCheff #WebApp #AI #Design #FrontendDevelopment #ReactJS #NodeJS #ProductDesignshow more

React Native now has its own shadcn/ui equivalent —... introducing 𝗡𝗮𝘁𝗶𝘃𝗲𝗨𝗜. If you love the flexibility of copying customisable components directly into your project (avoiding heavy, dependency-laden packages), NativeUI is designed for you. 𝗡𝗮𝘁𝗶𝘃𝗲𝗨𝗜 offers beautifully crafted, accessible components tailored for React Native, following the same copy-paste philosophy as shadcn/ui. Built with 𝗡𝗮𝘁𝗶𝘃𝗲𝗪𝗶𝗻𝗱 for fast, declarative, and flexible styling optimised for React Native. ➡️ 𝗖𝗼𝗽𝘆 𝗰𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁 𝗰𝗼𝗱𝗲 𝗱𝗶𝗿𝗲𝗰𝘁𝗹𝘆 𝗶𝗻𝘁𝗼 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 — no black-box dependencies required. ➡️ 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀 𝗮𝗿𝗲 𝗮𝗰𝗰𝗲𝘀𝘀𝗶𝗯𝗹𝗲 𝗯𝘆 𝗱𝗲𝗳𝗮𝘂𝗹𝘁, supporting screen readers and keyboard navigation, and designed to align with native iOS and Android UX patterns. ➡️ 𝗙𝘂𝗹𝗹 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 𝗼𝘃𝗲𝗿 𝘆𝗼𝘂𝗿 𝗨𝗜 without rebuilding common elements like buttons, inputs, or sliders from scratch. ➡️ 𝗖𝗼𝗺𝗽𝗮𝘁𝗶𝗯𝗹𝗲 𝘄𝗶𝘁𝗵 𝗘𝘅𝗽𝗼 𝗮𝗻𝗱 𝘃𝗮𝗻𝗶𝗹𝗹𝗮 𝗥𝗲𝗮𝗰𝘁 𝗡𝗮𝘁𝗶𝘃𝗲 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀, but not yet integrated with Tamagui’s styling system (future support may be planned). ➡️ 𝗦𝘂𝗽𝗽𝗼𝗿𝘁𝘀 𝘁𝗵𝗲𝗺𝗶𝗻𝗴 𝘃𝗶𝗮 𝗡𝗮𝘁𝗶𝘃𝗲𝗪𝗶𝗻𝗱 — though you’ll need to wire it up manually using Tailwind variables, context providers, and config files. Note: The term “install” in the documentation refers to using the shadcn CLI (e.g., npx shadcn@latest add component) to fetch and copy component code into your project, not adding a package to your dependencies. NativeUI isn’t a plug-and-play library; it’s a lightweight toolbox that empowers you to shape your UI with precision and control. 𝗪𝗵𝗮𝘁’𝘀 𝘆𝗼𝘂𝗿 𝗽𝗿𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲: npm install a pre-built UI kit for speed, or copy/paste NativeUI components for ultimate customisation? #ReactNative #KeyboardUX #MobileDev #OpenSource #JSDev #Performance #iOSDev #KeyboardExtensions #ReactNativeKeyboard #UIUX #shadcn #nativeuishow more

A 19 year old Chinese student controls an AI... security system from his bed through Telegram. Types one message on his phone, the device across the room wakes up, starts watching and reports back to him like an employee. While American companies charge $100 for a Ring camera plus $4 a month for cloud, this kid spent $10 once and built something smarter. He sent a Telegram message: open maixcam and notify me if a person detected. One second later his phone buzzed back. Green checkmark. Status: Active. Monitoring: Person detection enabled. Notifications: Telegram ready. His roommate laughed. Said a $10 device can't do real security. Then someone walked past the door. The phone buzzed instantly. Person detected. Class: person. Confidence: 92.00%. Position: (120, 80). Size: 100x150. Not a blurry photo 45 seconds later like Amazon cameras. Exact data in under 1 second. What it saw, how sure it is, where the person is standing, how big they are. All through a Telegram message. He built the whole thing with Claude Code in one weekend. The AI runs directly on the device, no cloud, no subscription, no internet needed after setup. 10MB of memory. Boots in 1 second. Camera sees, chip thinks, Telegram delivers. Posted a 17 second demo. GitHub exploded. 7,400 stars in 2 days. But person detection was just the demo. A developer in Tokyo forked it and pointed it at his front door. Telegram alert with a photo every time a delivery arrives. A mom in Seoul pointed it at her baby's crib. Gets a message when the baby stands up. A business owner in Shenzhen bought 6 for $60 total, mounted them around his warehouse and replaced a $200 a month security service. His entire security system is now a Telegram group chat with 6 AI cameras. Someone commented under the GitHub repo: I'm a senior engineer at a home security company. We have a team of 8 working on person detection. This 19 year old did it alone with Claude Code on a $10 device and it works better than our product. The student isn't a machine learning engineer. He's a second year CS student who wanted to know when his roommate eats his snacks. Claude Code wrote the detection model, the Telegram bot, the alert system and the boot sequence. He just described what he wanted. The roommate who laughed now has one pointed at his own shelf. Same device, same code, same Telegram bot. He stops losing snacks. The student stops losing sleep. Everyone is paying $100 for smart cameras with $4 monthly subscriptions. China is building the same thing for $10 with a Telegram chat and Claude Code. 7,400 stars. One weekend. One student who asked Claude Code to watch his door and accidentally built something better than Ring.show more

Impeccable 3.7 brings linting to design. Until now it... was a skill you asked for help. Now it's a design-system-aware feedback loop that runs while your agent builds, catching slop and design drift before they land. 🪝 Design hooks for Claude, Codex, and Cursor They run after every UI edit and quietly nudge your agent to fix slop and drift. The output isn't another wall of lint: it separates new findings from already-seen ones, flags clean scans, and asks the agent to use judgment. Fix real issues, leave intentional demos alone, save exceptions to config instead of littering your source. 🎨 Slop detection is now project-aware Reads your actual design system from DESIGN.md, your typography, palette, radius scale, and tokens, and flags drift from your system, not just generic AI slop: • this font isn't in your design system • this color is outside your documented palette • this radius doesn't match your rounded scale The same engine powers both the hooks and the CLI, and it's where we're investing next. 🖥️ Live Mode, ready for real projects Svelte/SvelteKit now preview variants as temporary framework components with live params, then accept cleanly back into your source component. Manual text edits got evidence / apply / discard routes, insertions preserve their anchors, and mapped lists and JSX slots clean up far more reliably. ⚡ Leaner core, sharper detector Rule-level evals across 3 providers and 4 niches cut guidance with no measurable lift and dropped examples that taught models bad patterns. The detector now skips hidden and screen-reader-only elements, understands OKLCH alpha and Sass-like inputs, and tightened checks for repeated kickers, oversized H1s, clipped overflow, and cramped padding. 🛠️ CLI caught up impeccable detect loads DESIGN.md by default, motion findings name the exact token or cubic-bezier instead of just "bounce," and impeccable ignores gives real CRUD for exceptions. Hooks and CLI share the same ignores. No split-brain config. Plus a much-improved interactive installer with hooks setup built in. Upgrade: npx impeccable install npm i -g impeccableshow more

You can't 3D reconstruct glass from images... ...WRONG! Thanks... for video diffusion, now just about anything is possible! Introducing...Diffusion Knows Transparency (DKT) Transparent and reflective objects usually break robot vision and photogrammetry pipelines because they don't follow the "solid object" rules standard cameras expect. DKT is a new AI model that repurposes the "internal physics engine" found in video generation models to solve this problem. Researchers took a massive video diffusion model (WAN) and fine-tuned it using a custom-built synthetic dataset to turn it into a high-precision depth sensor. To train the AI, they built the first massive synthetic video library of transparent objects, 1.32 million frames of perfectly labeled glass and metal objects in motion. Without ever seeing a "real" labeled video of glass during training, the model (DKT) outperformed all previous specialized systems on real-world benchmarks (ClearPose, DREDS). They created a "lightweight" 1.3B parameter version that runs fast enough (0.17s per frame) to be used on actual robot hardware. Two reasons I find this project important: 1. It further proves that synthetic data will be essential for training the next generation vision models. 2. In real-world robotic tests, using DKT's depth maps nearly doubled the success rate of robot arms trying to pick up objects on tricky reflective or translucent surfaces. At home robots will need to interact with these types of objects on a daily basis. Check out the project page here: Code is LIVE! #Computervision #Robotics #AIshow more

THIS SITE COST AROUND $12 IN CREDITS TO BUILD.... STUDIOS QUOTE $35,000 FOR THE SAME THING. What's on screen isn't a basic landing page. It's a fully animated, scroll-driven site, generated end to end in one agentic session with Claude Code + Higgsfield. What's actually on the page: → Cinematic motion clips pulled from 30+ generative models → Scroll animations written automatically - zero hand-coded keyframes → 6 cinematic effects baked in with no config: film grain, particles, vignette, glass cards, color tints, scroll pacing Scroll the demo and one question won't go away: did Claude really assemble all of this in a single pass? For boutique studios billing $100-149/hr, that question lands like a verdict. What it normally takes: → A designer, a motion artist, and a developer → Weeks of handoffs between them → 6 systems wired by hand - GSAP ScrollTrigger, Lenis smooth-scroll, frame extraction, asset optimization, layout, copy That pipeline was the moat. It's what justified the invoice. Here's the part studios and their clients won't enjoy hearing. The price gap: → Boutique agency build: $6,000-$35,000+ → Industry average project: ~$5,280 → Delivery cost: a Claude subscription + a few dollars of Higgsfield credits → Timeline: weeks of production → a single session One operator can now run all six systems in one pass and ship a working site - without touching a frame extractor or writing a CSS keyframe by hand. Full breakdown of how it's built in the article below. Save it & read today 👇show more

A WEB STUDIO CHARGES $35,000 FOR AN ANIMATED SITE.... THE SAME BUILD NOW COSTS $12 - CLAUDE CODE WRITES, HIGGSFIELD RENDERS. Every agency billing $100-149/hr is just three departments. Here's each one, collapsed into a single agentic session. SYSTEM 1 - THE MOTION STUDIO (Higgsfield) Cinematic clips pulled from 30+ generative models - hero shots, transitions, ambient loops. → This used to be a motion artist on retainer. Now it's a prompt. SYSTEM 2 - THE DEV TEAM (Claude Code) Scaffolds the site, writes the GSAP ScrollTrigger timelines and Lenis smooth-scroll, extracts frames, optimizes every asset. → A full scroll-driven build with zero hand-coded keyframes. SYSTEM 3 - THE DESIGN DEPT (baked-in cinematic layer) Six effects with no config: film grain, particles, vignette, glass cards, color tints, scroll pacing. → The polish that justified the invoice - now it ships by default. Three departments. One operator. One pass. What used to take a designer, a motion artist, and a developer through weeks of handoffs now runs in a single session - for a Claude subscription and a few dollars of Higgsfield credits. The studio was never the talent. It was the overhead. And the overhead just became three systems. Reply "web-site" to this post and I will send you the step-by-step Playbook 👇show more

Two weeks ago I fixed one of my teeth... with algorithms I wrote a couple of years ago! I got hooked by 3D scanning when I started to work for a software shop in Zurich that was programming 3D computational geometry algorithms for denture scanning to produce crowns (and more). Back then, a typical reconstruction pipeline was like: scan the patient’s teeth using an intraoral scanner, reconstruct the surface mesh, design the restoration digitally, and finally mill the crown out of ceramic. We were working mostly with point clouds and meshes, but it wasn’t just math, it was craftsmanship translated into a digital process. Every micron mattered. You could literally see how a good algorithm meant a better fit in someone’s mouth. Gaussian Splatting isn’t about surface reconstruction, it’s about appearance reconstruction. It doesn’t care about explicit topology, it captures how light interacts with the scene. In a sense, it’s the opposite philosophy of the dental world: instead of modeling what the object is, it models how the object looks. 3D Gaussian Splatting enables applications like training self driving cars, teaching robots to understand their environment, creating virtual worlds, or monitoring real sites. It represents scenes as millions of small Gaussians rendered in real time without the need for meshes or textures. Coming from a world where precision geometry was everything, this shift felt natural. It’s still about reconstruction, but with a different goal: not manufacturing a perfect object, but reproducing how the world actually looks. Two weeks ago I got my first dental crown, made with the same software, reconstruction algorithms, and Swiss precision I once helped develop. I haven’t worked there in two years, but sitting in that chair and seeing the process from the other side was a proud moment. It reminded me why I love this field.show more

This guy built an AI pipeline that generates hyperrealistic... fashion models in 47 minutes and now dropshippers pay him $1,400 to clone the entire system. He got tired of watching e-com brands lose $8K per photoshoot when a single product angle changed so he built a 9-node workflow that generates 127 product videos from one Pinterest photo without hiring a single model. Here's the exact breakdown: → Claude writes a 34-parameter JSON brand DNA before any image is touched target psychographics, price anchor, vibe matrix, anti-inspiration blacklist → Pinterest becomes the model source library but you can't just download and animate → Kling 2.6 takes that static JPG and turns it into 5-second video but only after the prompt architecture is locked → Negative prompt node runs 41 exclusion terms: no plastic skin, no CGI glow, no symmetry artifacts, no doll face, no synthetic lighting → That one step kills the "AI look" that tanks engagement by 67% in the first 3 seconds → TikTok Studio uploads 19 videos in one batch with zero manual captioning because the brand voice was pre-programmed in step one → Atlas scrapes Amazon product links and auto-generates a Shopify store with hero images, pricing tiers, scarcity copy, and mobile-optimized checkout in 90 seconds → The store goes live before the first TikTok video finishes processing The key move 94% of people skip: you can't animate the photo before you inject the negative prompt. If you send a raw Pinterest image straight into image-to-video the face morphs into a wax figure. The fabric loses texture. The hands grow extra fingers. The whole thing screams "AI" and your CTR dies. His system runs the exclusion filter first so the model moves like she's shot on an iPhone 15 Pro in natural light. One brand hit 2.6M views on TikTok in 11 days with zero paid ads and converted at 3.7% because the videos looked like organic UGC not polished studio content. Brands now pay him $1,400 for the full pipeline setup + $340/month to keep the store synced with new product drops and seasonal video batches. The entire system runs on $23/month in API costs and one laptop. No photographer. No model agency. No product samples. Just a prompt template, a Pinterest account, and the discipline to filter out the AI artifacts before you render movement.show more

In 2025, the AgentFlayer exploit highlighted a new category... of risk in AI systems. It was not a traditional breach involving stolen credentials or broken encryption. Instead, it demonstrated how an autonomous AI agent could be manipulated into executing unintended actions by processing malicious instructions embedded inside content it automatically processes. The incident did not expose a flaw in one specific integration. It revealed a structural weakness in how many modern AI agents are built. Today’s agents are no longer passive language models. They read documents automatically, scan emails, connect to SaaS tools, access cloud storage, and execute actions across multiple systems. To be useful, they are granted meaningful permissions. That capability creates value, but it also expands the attack surface. Most agent environments operate in a trusted, plaintext execution model. Data is encrypted at rest and in transit, but it is typically decrypted during inference so the model can process it. That runtime visibility is where potential risk lies. In a zero-click scenario like AgentFlayer, an attacker can embed hidden instructions inside a document that the AI processes automatically. Because the agent may have access to connected systems such as Google Drive, Slack, or GitHub, it can potentially be influenced to retrieve sensitive information or perform unintended actions. The user does not need to click a malicious link or approve a suspicious request. Therefore, the core issue is that during execution, the system may have access to sensitive data and broad privileges, meaning whoever controls the execution environment ultimately controls access to that data. Now consider a different architectural approach. If a system is designed so that data remains protected during execution, the risk profile changes. On Nesa, privacy is enforced at the execution layer through Equivariant Encryption. Computation can occur on encrypted data, reducing the visibility surface during runtime. Sensitive inputs and models do not need to be exposed in plain text to infrastructure operators for inference to occur. This does not eliminate prompt injection, logic manipulation, or tool misuse. Encryption alone cannot prevent an agent from being instructed to take an unintended action if it has been granted that permission. What it does do is materially reduce confidentiality risk. By limiting access to readable sensitive data during execution and reducing unilateral visibility at the infrastructure layer, the potential blast radius of a successful manipulation attempt is constrained. As AI agents become more autonomous and embedded into enterprise workflows, security must move deeper into architecture. The goal is not to claim invulnerability. It is to reduce trust concentration and contain systemic exposure when failures occur. AgentFlayer was not simply a one-off exploit. It was a reminder that in autonomous systems, execution-layer design determines how risk propagates.show more

🚨SCIENCE🚨: Time just got a remix — and exotic... quantum matter started showing up uninvited 🧨 Scientists at California Polytechnic State University just dropped a bombshell on May 4, 2026: by periodically driving magnetic fields in graphene over time, they created entirely new quantum states of matter that flat-out do not exist under any static conditions. These driven phases are dramatically more stable and error-resistant — exactly the kind of breakthrough quantum computing has been starving for. Standard models are left asking why time itself seems to be the missing ingredient. Uniphics sees this as inevitable once you accept the three pillars. Time flow (t_flow) is not a universal constant — it is strictly t_flow = k / E_d, where k = 4.64159 × 10^18 J/m³ is the fixed reference density set by the electron Gyrotron volume. When researchers vary the magnetic field periodically, they are rhythmically modulating local energy density (E_d) in time. That creates transient windows where t_flow itself shifts, opening entirely new minima in the ξM-field potential that negentropy (the drive toward lowest energy, J_neg ≈ −5.66 × 10^{-21} J/K) can lock into stable spin configurations. The Gyrotrons — each a 3D gyroscope of three orthogonal spin quanta (xy, xz, yz planes), every quantum a tempest of whirling energy spinning CW or CCW — access driven phases that static E_d simply cannot sustain. The result: exotic states with no static counterpart, far more resistant to decoherence because they are continuously refreshed by the same negentropy that condensed the first bound matter at the Amorphics-to-Physics transition. No new particles, no extra dimensions, no patches — just the pillars doing what they do best: turning dynamic E_d into order. This is why the new states are so robust. The time-dependent drive keeps the system dancing exactly where unbound energy repels unbound energy just enough to hold the new lock without collapse. How might deliberately engineering time flow gradients in real materials accelerate fault-tolerant quantum computers — or even let us replay the driven phases that built the early universe? A Theory of Everything should be able to answer everything. #Uniphics #QuantumStates #TimeFlow #EnergyDensity #SpinQuanta Grok xAI Uniphics Explained Simply PDF: Chapters 1–10 free: Grokipediashow more

THIS GUY JUST REBUILT A $35,000 ANIMATED SITE FOR... $12. IF YOU RUN A WEB STUDIO, YOU SHOULD PROBABLY KEEP SCROLLING. Every agency billing $100-149/hr is selling you five departments wearing one invoice. Here’s each one - collapsed into a single agentic session. LAYER 1 - THE CONCEPT ROOM (Claude) Reads the brief, pulls references, and scripts the scroll: what the visitor feels at second 3, second 15, second 40. → Used to be a strategist and a wall of mood boards. Now it’s a conversation. LAYER 2 - THE MOTION STUDIO (Higgsfield) Cinematic clips from 30+ generative models - hero shots, transitions, ambient loops - all matched to the story from Layer 1. → Used to be a motion artist on retainer. Now it’s a prompt. LAYER 3 - THE DEV TEAM (Claude Code) Scaffolds the site, writes the GSAP ScrollTrigger timelines and Lenis smooth-scroll, extracts frames, optimizes every asset. → A full scroll-driven build with zero hand-coded keyframes. LAYER 4 - THE DESIGN DEPT (baked-in cinematic layer) Six effects, zero config: film grain, particles, vignette, glass cards, color tints, scroll pacing. → The polish that justified the invoice - now it ships by default. LAYER 5 - THE QA PASS (Claude) Checks load speed, mobile breakpoints, and whether the scroll actually lands - then rewrites whatever doesn’t. → Used to be a client call and a revision cycle. Now it’s one more turn in the same session. Five departments. One operator. One pass. A strategist, a motion artist, a developer, a designer, and a QA lead - weeks of handoffs - now run in a single session. For a Claude subscription and a few dollars of Higgsfield credits. The studio was never selling talent. It was selling overhead. And the overhead just became five layers. Follow me, reply “website” to this post and I will send you the step-by-step Playbook 👇show more

You’ve probably seen some of the games I’ve been... building with AI. I can't code. But with AI's help, I've built 15+ game prototypes in the past 6 months. That process has been eye-opening. It made me realize how fast game creation is evolving and how much easier it’s becoming to turn ideas into playable worlds. So I started Vibeforge, a Patreon where I share everything I’ve learned about using AI to make games: - Step-by-step vibe-coding guides (like this top-down auto-shooter) - Behind-the-scenes devlogs as I experiment with new prototypes - Game boilerplates you can modify for your own projects I’m joined by Aldric Chang, founder of the game studio behind 13Z: The Zodiac Trials ➡️ Wishlist on Steam!, Hellsweeper VR, Sairento VR and Gordian Quest. While I focus on AI-driven experimentation, Aldric will be sharing real-world lessons from traditional game development: design, production, and marketing, bridging both worlds. Whether you’re building your first prototype or dreaming up your next indie project, we welcome you to join us: See you on the inside.show more

Beauty ads just changed forever. Free Claude Opus 4.8... + GPT Image 2 + Seedance 2.0 workflow to spin up 100s of video ads. No studio, no model, no macro lens, no shoot day. Here's what nobody in beauty marketing wants to say out loud. That glossy lip shot. The droplet hitting the surface in slow motion. The whip-pan into the next scene. The crystalline product splash. All the stuff that used to need a real set, a real camera op, and a full shoot day. You can generate every frame of it from a text prompt now, and stitch it into a finished ad before your coffee goes cold. The workflow is almost stupidly simple: → Tell Claude Opus 4.8 the beauty shot you want (dewy skin macro, gloss-on-lips contact, ripple transition, the works) → Claude turns it into a shot-by-shot storyboard plus a prompt for every frame → GPT Image 2 generates the photoreal stills, frame by frame → Seedance 2.0 animates each one into a clip with that buttery slow-mo glide → You drop the clips into HeyOz and assemble the full ad in one place The real unlock is volume. This isn't one hero video. Once the workflow is dialed, you spin up hundreds of variations. Different shades, different models, different hooks, different transitions. The exact creative volume Meta rewards, minus the production cost that used to make it impossible. Old way: one shoot, one look, $10k+, weeks of waiting. New way: a hundred angles, any look, a few dollars each, same afternoon. I wrote up the entire workflow. The Claude storyboard prompt, the GPT Image 2 frame prompts, the Seedance motion settings, the full assembly flow. Completely free, no email gate. Want it? Comment "GLOSS" and I'll send it straight over. (make sure you're following so it can actually reach you)show more

🚨12 HOUR NEWS RECAP 1.⁠ Trump is preparing for... direct talks with Venezuelan leader Nicolás Maduro even as the U.S. labels him a terrorist kingpin and continues Operation Southern Spear’s missile strikes that have killed 83 people across 21 alleged narco-boat hits - a “drug mission” that increasingly looks like quiet regime-change pressure. 2.⁠ The DOJ has now asked two New York judges to unseal Epstein–Maxwell grand jury records under Trump’s new transparency law, kicking off a mid-December showdown over whether some of the most tightly guarded evidence in the case will finally see daylight. 3.⁠ U.S. Army Secretary Dan Driscoll landed in Abu Dhabi for new Ukraine peace talks, despite Moscow already rejecting the slimmed-down 19-point proposal as diplomats try to salvage a deal while the war rages on. 4.⁠ Macron says that once a Ukraine peace deal is signed, a multinational “reassurance force” of British, French, Turkish, and other European troops will be stationed in places like Kyiv and Odesa - not to fight, but to train, secure, and backstop the post-war transition. 5.⁠ Zelensky urged urgent global action after Russia unleashed 22 missiles and more than 460 drones across Kyiv and multiple regions, killing six, wrecking ports and energy sites, and even sending drones into Moldova and Romania. 6.⁠ Ukraine blasted deep into Russia to hit Taganrog Air Base, reportedly destroying either an A-50U early-warning jet or one of only two A-60 laser aircraft ever built - sending Moscow a blunt message that if it keeps striking Kyiv, its rarest military assets aren’t safe even hundreds of kilometers from the front. 7.⁠ A top German business group just dropped its boycott of the surging AfD, saying “indignation has exhausted itself” and that with the party now polling first nationwide, refusing to speak to a quarter of the electorate is no longer a serious strategy. 8.⁠ ICE agent assaults have exploded 1,150% this year - from 19 to 238 - with officers facing shootings, Molotov attacks, rammings, and daily threats that DHS says are being fueled by politicians demonizing ICE as Nazis. 9.⁠ Trump signed an executive order launching a 45-day process to label key Muslim Brotherhood chapters as Foreign Terrorist Organizations. 10.⁠ A volcano dormant for 12,000 years erupted in Ethiopia’s Afar region, blasting ash across villages and even the Red Sea, stranding locals and tourists and wiping out grazing land - a brutal reminder that the Rift Valley still runs the show.show more

Exciting News from HotkeySwap: TAOevm is Officially Live! We’re... thrilled to announce the launch of TAOevm—a powerful addition to the HotkeySwap ecosystem that marks a significant step in our mission to make DeFi smarter, more accessible, and truly cross-chain. This milestone represents months of dedicated work and innovation, bringing you an AI-powered, user-friendly experience that connects seamlessly across blockchain networks. With a fresh look and expanded features, HotkeySwap and TAOevm are here to transform your DeFi journey. Whether you’re looking to explore, trade, or invest, HotkeySwap’s ecosystem is built to make it easy and rewarding. What’s New in the Hotkey Ecosystem? Hotkey’s latest updates bring you seamless cross-chain tools, analytics, and a collaborative environment to explore, trade, and engage. Here’s what’s now live and ready for you: • TAOevm Blockchain: TAOevm introduces full EVM compatibility to expand decentralized finance and smart contract capabilities. While Bittensor remains focused on its core mission as a decentralized AI and machine learning network, TAOevm provides an independent platform for DeFi innovation. This separate chain approach allows Bittensor’s community to access EVM benefits without compromising Bittensor’s AI-first vision. With a capacity of 200,000 transactions per block and blocks validated every 2 to 3 seconds, TAOevm delivers 60k to 100k TPS at peak, Hybrid Proof of Work security, and ultra-low fees—empowering developers to create new possibilities within an ecosystem that respects and reinforces the unique strengths of both platforms. • Hotcurves is the pump fun for TAOevm: As part of our commitment to community-driven innovation, we’re introducing Hotcurves—a vibrant platform on TAOevm where you can explore new projects, invest early, and connect with a community of like-minded enthusiasts who love to innovate and have fun. Hotcurves simplifies the token deployment process, allowing anyone to create a token in minutes with built-in liquidity pools for instant trading. With secure features like automatic LP burns and contract renouncement, Hotcurves offers a safer, more accessible environment for developers and investors alike. New Websites & Resources Our new branding and websites bring a unified, intuitive experience to the entire Hotkey ecosystem. Discover everything you need to navigate, learn, and grow with Hotkey: • Official Site: Your central hub for all Hotkey news, resources, and network updates. • TAOevm Mainnet Explorer: Track live transactions within the TAOevm mainnet, a powerful blockchain addition to Hotkey’s infrastructure. • TAOevm Testnet Explorer: Experiment with the TAOevm testnet and test your strategies with access to the Testnet Faucet. • TAOevm Bridge: Seamlessly transfer assets across chains within the Hotkey ecosystem. • TAOevm DEX: Engage in secure and efficient decentralized trading on TAOevm. • TAOevm Charts: Get real-time insights with charts tailored to TAOevm, offering analytics similar to DeScreener or DEXTools, integrated seamlessly with Hotkey. • Hotcurves: Discover and invest in early-stage projects on TAOevm’s very own community launchpad. • Documentation: Access comprehensive guides for HotkeySwap, TAOevm, and Hotcurves, providing everything you need to maximize your experience across the ecosystem. A New Brand, A Bold Vision With our new branding, Hotkey’s mission to make DeFi inclusive, intelligent, and community-centered is stronger than ever. The new look symbolizes our dedication to building an ecosystem where every user, investor, and trader can confidently explore and create within DeFi. This rebrand isn’t just about appearances—it’s a pledge to continuously evolve and support our growing community. We are forever thankfully for the continued support up to this point and we hope by showcasing our EVM you will be able to gain a glimpse into the capabilities of the team as we now gear up for the launch of the v2 dex in the coming weeks.show more