Text animations running while JavaScript blocks in 1.5 second... bursts. Top left: Ladybird with new multi-threaded CSS engine 🤓show more

Browsers should do CSS layout off the main thread!... 🤓 Top left: Ladybird (work in progress) Others: Chrome, Safari, Firefoxshow more

Gemini 3 Pro (left) vs ChatGPT 5.1 thinking vs... Claude Opus 4.5 (right) Prompt: Multi-ball heptagon physics Write html, css, and javascript to display 20 balls bouncing inside a spinning heptagon. each ball should have a unique color, a number label, gravity, and collision detection with the walls. all code in one file.show more

I just released a new 2D/3D Hybrid Top Down... Template for Unreal Engine 5! It comes with Multi-Directional animations set up, an emissive texture and a normal texture for edge lighting, showcasing how all of that works! It’s FREE for a limited time through the link belowshow more

The turning while running is made with 3 animations... (run forward, left, and right) IK keeps the foot in place whenever the foot is on the ground The system is very simple, it's just a lot of adjusting to make sure the IK isn't too strong, the leaning looks good, etcshow more

I might have just figured out how to integrate... Web Workers with TanStack Table V9... So... multi-threaded TanStack Table coming soon? This would theoretically unlock huge UI performance wins for specific large tables that use heavy client-side computations for filtering, sorting, aggregation, etc. In a normal setup, the UI can freeze for a second or two while a large filter or sort is computating, but as seen here, the UI stayed 100% interactive while sorting 1 million rows with a slower alphanumeric sorting function. I want to know if this would be useful to anyone.show more

New open source library: kugiri (区切り). Already running in... production on several of my sites, now public. It splits text into lines, words and characters, the thing every text reveal needs. The difference is where it cuts. Most splitters guess where a line breaks, and the guess falls apart the moment the text does something real: text-wrap: balance, hyphenation, a drop cap, a float, a link that wraps, RTL, Japanese. kugiri does not guess. It asks the browser where the lines already are and cuts exactly there, so the split text looks pixel for pixel like the text before it. No animation, no scroll watching, no opinions. Every unit gets an index and the library gets out of the way. Animate with CSS, the Web Animations API, GSAP or Motion. One file, no dependencies, about 7 kB gzipped. The demo is also the test suite: fifty situations, each checked against what the browser painted, in Chromium, WebKit and Firefox. Demo: npm: Source:show more

BREAKING: XRP LEDGER HITS 120 TRANSACTIONS PER SECOND IN... UNUSUAL BLOCK CREATION SURGE $XRP Ledger is processing blocks of 600 to 700 transactions each, sustaining over 120 TPS while fee levels remain stable and the network shows zero congestion. The spike is driven primarily by DEX activity, mostly offer cancellations with some new offer creations, suggesting traders are actively repositioning on the native DEX in real time. XRPL validator Vet called it a valuable stress test: "This will compound during bull markets. We have time to optimize even more." Despite the throughput surge, XRP's price hasn't reacted yet. On-chain activity is running hot. The market hasn't caught up.show more

Wan-Animate-2 pushes character animation beyond pose-driven pipelines: reference image... + driving video in, cleaner character motion out. 🚀 🤖 🌐 🏆 Blind user study: preferred over Wan-Animate in 70%+ of overall-quality comparisons, with perceived quality comparable to Dreamina and Kling-MotionControl. 🎬 Cleaner animation: directly processes driving-video motion instead of relying on pose skeletons, reducing identity drift, artifacts, and shape distortion across different characters. 🎥 Text camera control: Viewpoint LoRA lets prompts steer the output perspective while keeping the original motion consistent. ⚡ Streaming path: Wan-Animate-2-Lite reports 24fps at 400x720, with stable long-sequence generation for live avatars and interactive virtual environments. Built with dual-branch DiT, Time-Align RoPE, Sparse-Ref Attention, 100K+ video pairs, and 50K Unreal Engine multi-view samples.show more

Luxury Creative in Every Second Possible With Grok 1.5... on Lart AI Try here: 🔗 Model: Grok 1.5 Aspect Ratio: 16:9 Prompt: A cinematic macro close-up of a luxury stainless steel wristwatch resting on a black reflective surface. Soft golden rim lighting reveals the brushed metal finish, sapphire crystal, intricate dial details, and sweeping second hand. The camera slowly circles the watch with smooth cinematic motion while tiny floating dust particles shimmer in the light. Transition to an elegant wrist shot of a well-dressed professional adjusting the watch cuff while walking through a modern luxury hotel lobby. Warm sunlight reflects beautifully off the polished case and bracelet. Cut to an extreme macro shot of the rotating crown, engraved logo, and finely crafted mechanical movement visible through the transparent case back. Every reflection is realistic with premium product photography quality. End with the watch centered against a black background with subtle light streaks and the brand logo appearing in elegant white typography. Style: Luxury, premium, timeless, minimalist. Lighting: Soft cinematic lighting, golden hour highlights, high contrast, realistic reflections. Camera: Macro lens, slow orbit, dolly push-in, smooth motion, shallow depth of field. Quality: Hyper-realistic, 8K, HDR, photorealistic, commercial-grade, luxury product advertisement. Negative Prompt: Cartoon, CGI look, low resolution, blurry, noisy image, oversaturated colors, watermark, text artifacts, distorted proportions, shaky camera, unrealistic reflections, cheap materials, flickering lighting.show more

Happy Horse 1.1 is finally here!! And HorsePower AI... Cinema Awards Submissions Are Now Open! The Golden Acorn Heist was generated entirely with HappyHorse 1.1. A two-scene, 5-second heist sequence featuring Barnaby — a hyper-expressive flying squirrel - descending through a laser grid before triggering a plasma lava trap. The film pushes HappyHorse 1.5's core upgrades hard: orbital spiral camera moves with stable mid-air wire physics, violent whip-pan transitions, and a goggle-snap panic expression that lands in a single frame. Character detail stays locked across every cut via R2V multi-image referencing. Complex prompt. Zero drift. Whats New with Happy Horse 1.1? — Fluid motion under complex camera choreography (orbital spiral, whip-pan) — Consistent character detail across rapid scene cuts — Expressive facial rendering under high-motion conditions — Accurate response to multi-camera shot scheduling in a single prompt See what it can do >. HappyHorse #happyhorse #HorsepowerAICinema #happyhorse1.1 #aishow more

Who likes a nice animation? 🤓🔋 Here you find... out when lithium-ion batteries will be the most competitive for providing peak capacity (PC)... Or when is hydrogen becomes the best for integrating renewables (RE)? Let's walk through the cheapest storage technologies over time. 1⃣ Colours represent the technologies with the lowest lifetime cost. 2⃣ The axes show discharge duration and cycling frequency. They cover the whole spectrum from second-by-second balancing applications (bottom right) up to inter-seasonal storage (top left), and everything in between. 3⃣ Shading indicates how strong the cost advantage is over the second cheapest technology. The evolution of this competitive landscape is based on projected reductions in investment costs over time. These come from statistically-derived which are published in Monetizing Energy Storage: Wonder what it would look like if pumped hydro is not an option? Or where and when a radically new, better technology would fit into this mix? Explore these questions and more on Get in touch if this is of interest!show more

Dry messy morning hairOne spray for smooth shiny frizz... free locks Made with seedance 2.0 Prompt: A realistic 15-second vertical beauty advertisement video of a young East Asian woman with long dark brown hair in a bright modern bathroom with wooden walls, large window with blinds, and natural sunlight streaming in. She wears a simple beige ribbed tank top and has natural glowing makeup with soft pink lips. Start with her holding a frosted glass spray bottle with a gold pump and white label, smiling brightly at the camera while looking slightly to the side. On-screen text appears: “My Hair Refresh ✨”. She speaks enthusiastically: “If your hair looks dry and messy in the morning, try this: just a little serum makes such a difference!” She pumps a small amount of white serum onto her palm, then runs her fingers through her hair, applying the product. Text changes to “Smooth & Frizz-Free ✨”. She flips and smooths her hair, showing the transformation. Next, she runs both hands through her now shiny, smooth, silky hair while smiling and speaking: “Look how smooth and shiny my hair looks now!” Text changes to “Fresh Hair Finish ✨”. She continues flipping and tossing her hair playfully, looking happy and confident. Final text appears: “Try It ✨”. She holds the bottle up again, smiling at the camera, and says: “This is definitely staying in my morning routine.” Soft natural lighting, warm golden hour sunlight, high-quality realistic skin texture, cinematic beauty commercial style, smooth camera movements, vertical 9:16 format, 15 seconds duration.show more

A Closer Look at Alchemist AI v3.5🔎 In v1,... one agent handled everything. You’d enter a prompt like “make a snake game” and get a single block of code—one input, one output. v2 introduced multiple agents with specialized roles: prompt refinement, frontend, backend, and review. It brought more structure, but the process was still linear. Each step produced a single output. With v3, a single agent could handle multiple tasks. It generated HTML, CSS, JavaScript, searched for assets, and more—all in one go, while maintaining full context. Now in v3.5, we combine both models. Multiple agents work in parallel, each capable of producing multiple outputs at once. The prompt compiler adapts based on what you're building. A 3D game? It prioritizes game engines, rendering, and mechanics. A website or 2D app? It shifts focus to relevant frameworks and tools. The tool handler can call several services simultaneously, feeding context-aware data into the code generator for real-time execution. From single-output generation to parallel, adaptive workflows. In the next breakdown, we’ll dive into the architecture behind our proprietary engine in v3.5.show more

Kaspa's Toccata upgrade is seeing real use seven weeks... after activation Seven weeks after Kaspa's Toccata hard fork, the upgrade's new machinery is in visible use. Kaspalytics counts 1,196 covenant-creating transactions in the past 24 hours, with over 2,700 covenant outputs created, programmable spending rules now running natively on kaspa:native L1. The ZK side is earlier-stage: just 9 ZK precompile transactions in the same window, split between Groth16 and R0Succinct proof verifications. The clearest adoption signal sits on layer 2. Igra, the EVM-compatible L2 anchored to Kaspa, logged around 54,000 transactions in 24 hours, dwarfing every other protocol on the network, with KRC inscriptions a distant second near 1,900. Miners have moved on cleanly too: 86% of recent blocks come from node version 2.0.1, the post-Toccata release, suggesting the consensus change has settled without a lingering split.show more

Vitalik Reveals Ethereum’s Big 2030 Redesign Vitalik Buterin (vitalik.eth)... has outlined how Ethereum could look very different by 2030, in a new essay. He described the network as a hybrid architecture combining blockchains with modern cryptography. Crucial points include: - Future upgrades could introduce recursive STARKs, automated verification and quantum safe cryptography. - Buterin also expects Ethereum to process more work through decentralized and parallel systems. - Buterin expects Hegota, planned for next year, to be Ethereum’s last normal fork. - He also projected 4 to 8 second slots and 8 to 32 second finality by 2030. - Nodes could eventually verify cryptographic proofs instead of downloading and executing every block. - Buterin also expects aggregated signatures and multi participant block construction to reshape validation. - FOCIL could also give multiple validators a larger role in forcing transactions into blocks. - He said applications built around Ethereum could achieve much lower latency than Ethereum itself.show more

KASPA'S 2026 PIVOT: PAYMENTS RAIL TO PROGRAMMABLE L1 Kaspa... is shifting categories this year. The proof-of-work BlockDAG that runs at 10 blocks per second now has a roadmap pushing it from a fast payments chain into a programmable base layer. Igra Network went live in March as a decentralized EVM execution layer on top of Kaspa, hitting 3,000 transactions per second with 15 protocols deployed at launch and a clean Sigma Prime audit. KAS wraps 1:1 to iKAS as the network's gas token. The Toccata hard fork follows in June. It bundles native KRC-20 tokens, covenants, and zero-knowledge verification opcodes into Layer 1 through a new scripting language called SilverScript. $KAS trades around $0.036 with a $985 million market cap, up 12% on the week. Roughly 95% of the 28.7 billion supply is already mined. DAGKnight consensus is queued for Q3.show more

Day 11/90 of Inference Engineering How does vLLM work... and how is it used in production? Before we discuss how vLLM works internally, it helps to understand what vLLM is. At a high level, vLLM is an inference engine that is designed to serve LLMs to thousands of concurrent users efficiently while managing scarce compute and memory. The goal for vLLM is to maximize throughput and minimize latency; optimizing for the best inference economics and experience for end users. With every request from the end user, it eventually ends up in the engine core, gets scheduled alongside other requests from other concurrent users, executes on the GPU, and updates the KV cache with the new key and value vectors, and streams the tokens back to the user. The Scheduler decides what requests should execute next while continuously batching requests together to maximize GPU utilization. Continuous batching is an inference optimization that allows new requests to join a running batch as other requests finish generating tokens. This helps with keeping the GPU utilization high instead of letting it sit idle waiting for an entire batch to complete generating. After the scheduler dispatches the selected batch to the Model Executor, the Model Executor prepares the tensors and metadata required for inference, retrieves each request’s block table from KV Cache Manager, launches the optimized transformer forward pass on the GPU, computes the logits, updates the KV cache with the new key and value vectors, and finally returns the results for sampling and streaming. The KV Cache Manager uses the PagedAttention memory layout to allocate fixed-size cache blocks on demand and maintains a Free Block Queue on the CPU that tracks which blocks in the GPU’s Paged KV Cache are currently free. When a request needs additional KV cache space, the KV Cache manager takes a free block from the queue and assigns it to that request, thus avoiding an expensive search through GPU memory for available cache blocks. All of these components form the core of vLLM’s inference engine. The Scheduler determines what requests are executed, the Model Executor determines how those requests are executed, the KV Cache Manager determines where each request’s KV cache lives using the PagedAttention Memory Layout. This architecture enables vLLM to serve thousands of concurrent requests with high throughput, low latency, and efficient GPU memory utilization. Heres a little animation that visualizes everything! - I've also completed the forward pass for my mnist.c project. I had a nice chat with shrey birmiwal, such a knowledgeable guy. Excited to learn more about vLLM and implement a tiny-vLLM one day.show more

Seedance 2.0 is now available in Europe in capcut🔥... Animated short with Multi-shot sequence and dialogues Ep 01 15 seconds Text to Video Prompt 👇 A humorous Pixar-style animated short featuring two anthropomorphic toothbrushes debating in a bright modern bathroom: grumpy old manual toothbrush with worn bristles, tiny arms, and expressive face vs. sleek confident electric toothbrush with glowing LED eyes, vibrating body, and influencer attitude. Multi-shot sequence: medium shot of manual toothbrush shaking angrily on the counter, close-up push-in on electric toothbrush proudly vibrating with flashing lights, over-the-shoulder shot during argument, chaotic wide shot as toothpaste flies everywhere, ending in sink with both looking defeated but friendly. Manual toothbrush complains: "Back in my day we scrubbed with elbow grease! You just sit there buzzing like a lazy phone on vibrate!" E lectric replies: "Bro, I clean 40,000 times per minute while you’re doing cardio. I’m basically a gym membership for teeth!" Twist: both get dropped in the sink, manual says "Truce?", electric buzzes weakly "Fine… but I still win on TikTok." Vibrant colors, bouncy physics, exaggerated facial expressions, cartoon sound effects including angry shakes, buzzing vibrations, toothpaste splats, and dramatic whooshes. Dynamic camera: quick cuts, zooms, and playful pans. Soft morning lighting with shiny reflections on tiles. High quality, smooth animation, 15-second duration, funny and relatable tech vs old-school vibe.show more

Gift of Time was started during my residency in... Marfa, Texas. What stayed with me during that month in the desert wasn’t just the landscape, but the feeling that time moved differently. After a few days, everything slowed down, and I became more aware of each moment as it passed. This piece exists because I was given that time — by Art Blocks , OpenSea , and above all my family. It’s my way of saying thank you. The work follows that idea. It moves with time, constantly changing. Each second, minute, day, year and beyond brings something new. It draws from different ways we measure time — from calendars to moon phases — reflecting how humans have tracked time across history. It evolves as time passes — just like we do. It’s not static, because neither is time. Coming soon. ⏳ - Algorithmic generative art created with code 🤓 p5xjs #generativeart #generative #art #algorithmicart #creativecodingshow more

🚀 Welcome to Luxxcoin - Where Meme Culture Becomes... Competition Luxxcoin ($LUX) is the first MemeFi project transforming memes into a real, rules-based on-chain competition. Every 60 days, the Hero Rewards engine ranks wallets through a transparent scoring model and automatically distributes $LUX to the top performers - all visible on a live leaderboard. Built on Solana. Audited. Multi-sig secured. Designed for long-term gameplay, not hype cycles. With a 7.5-year competitive structure, 45 reward rounds, and deterministic scoring, Luxxcoin introduces a new standard in meme culture: 🔸 Hold with strategy 🔸 Climb the leaderboard 🔸 Earn like a hero If you're here for the future of memes - competitive, transparent, and on-chain - welcome to the arena. 👑 The Meme Competition Has Begun. Join Luxx. Website: Community chat: #LuxxUp #MemeFi $LUXshow more