🚀 Introducing Sparse VideoGen2 (SVG2) — Pareto-frontier video generation... acceleration with semantic-aware sparse attention! 🏆Spotlight paper accepted by #NeurIPS2025 ✅ Training-free & plug-and-play ✅ Up to 2.5× faster on HunyuanVideo, 1.9× faster on Wan 2.1 ✅ SOTA quality preserved (no artifacts, no flickering, no distortion) 📚Paper: 💻Code: 🌐Website: ⚡Attention Kernel: Joint work with: @randwalk0 Yilong Zhao Muyang Li Jintao Zhang Han Cai Yujun Lin Xiuyu Li Chenfeng_X Kelly Peng Jianfei Chen Song Han Kurt Keutzer Ion Stoica See details below ⬇️ (1/6) NeurIPS Conference #NeurIPS #VideoGeneration #GenerativeAI #MachineLearning #EfficientAI #OpenSourceshow more

Introducing DeepConf: Deep Think with Confidence 🚀 First method... to achieve 99.9% on AIME 2025 with open-source models! Using GPT-OSS-120B even without tools, we reached this almost-perfect accuracy while saving up to 85% generated tokens. It also delivers many strong advantages for parallel thinking: 🔥 Performance boost: ~10% accuracy across models & datasets ⚡ Ultra-efficient: Up to 85% fewer tokens generated 🔧 Plug & play: Works with ANY existing model - zero training needed (no hyperparameter tuning as well!) ⭐ Easy to deploy: Just ~50 lines of code in vLLM (see PR below) 📚 Paper: 🌐 Project: joint work with: Yichao Fu , xuewei_wang, Yuandong Tian (see details in the comments below)show more

pip install spectralquant ✂️ Up to 6.62x KV cache... compression for LLMs and transformers. Same model. Faster outputs. Smaller KV cache. Try now (2 mins): - KV cache integration via Hugging Face's DynamicCache - Three presets: 5.95x (paper), 6.55x (validated), 6.68x (edge) - Mistral 7B / Qwen 2.5 7B / Llama 3.1 8B verified - Pure PyTorch + future CUDA kernel support - Auto-calibration from a bundled corpus 📰 Paper: 💻 Code, quickstart, and benchmarks: #LLM #Inference #PyTorch #OpenSource #MachineLearning #LLM #KVCache #Inferenceshow more

🚀 Introducing CodeWarp: Jump to Definition with MicroGPT! 🚀... No more endless scrolling—CodeWarp lets you instantly navigate to function, variable, and class definitions with ease. Code faster, smarter, and more efficiently! ⚡show more

🎥 Video generation is hitting the memory wall. As... videos get longer, the KV cache quietly explodes — and long-horizon consistency starts to break. We built Quant VideoGen: a training-free KV cache compression method for auto-regressive video diffusion. Instead of storing every KV in high precision, QVG exploits video’s spatiotemporal redundancy with semantic-aware smoothing + progressive residual quantization. 🚀 Up to 7× KV memory reduction ⚡ <4% overhead ✅ Strong long-video quality 🕹️ Deploy HYWorldPlay on your own RTX 5090 locally KV compression is becoming a core scaling primitive — not just for LLMs, but for video generation too. Paper: Code: (1/5)show more

🚀 LongCat-Video Now Open-Source: Text/Image-to-Video + Video Continuation in... One Model 🏆 Text/Image-to-Video Performance Hits Open-Source SOTA 🎬 Minutes-Long High-Quality Videos: No Color Drift/Quality Loss (Industry-Standout) ⚙ 13.6B Params | Strong Open-Source DiT-Based Unified Multitask Video Base Model ⚡ C2F Pipeline + Block Sparse Attention: 720p/30fps Video in Minutes 🤗 Open-Source Links: GitHub： Hugging Face： Project Page：show more

Attention fellow YouTube creators! Launching TubeToolkit in beta 🚀... Built in ~72 hours with Claude Code. It turns your video transcript into the full supporting content package (titles, timestamps, description, hooks, thumbnail ideas) so you can publish faster and stay on-brand. ✅ Free credits to start ✅ No credit card required 💳 Paid tiers available if you want to scale Sign up today: If you’re testing + giving useful feedback and you run out of credits, DM/reply — let me know.show more

We have released the code and weights for our... #CVPR2023 paper "Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model"! code: abs: project: The demo is below:show more

New freemint collection coming right up! 🛸 Locus Fleet:... Special Proto Craft 🛸 ✅ No FCFS, No Public, Whitelist Only! ✅ 350 confirmed collabs and more on the way! ✅ Many opportunities to secure your whitelist spot! Mint Details: 📦 Amount: 4,500 WL 🪙 Price: FREE 🌐 Chain: Polygon 📅 Date: September 26, 2024 🚀 Launchpad: Space Mavericks Websiteshow more

⚡ Want to help your athlete get faster? Single-Leg... Pogo Hops improve: ✅ Speed ✅ Balance ✅ Explosiveness ✅ Coordination The goal: spend less time on the ground and more time moving. 3 sets of 15-20 hops per leg before training. Train smart. Get faster. ⚡ #SpeedTrainingshow more

🟨 Introducing $500M Piece of Paper ($PAPER) A community-driven... token launched on now governed entirely by its holders through a full Community Takeover (CTO). 📌 Key facts: – Launched 07/06/2025 via (Solana) – Fairlaunch: 0 team allocation, 0 presale, 0 taxes – Max supply: 1,000,000,000 $PAPER – Active, growing community leading development and marketing $PAPER isn’t just a meme — it’s a commentary on perceived value in digital markets, driven by collective participation. ✅ Listed on Moontok, MaxBid and OKX Dex ✅ Transparent launch, no hidden wallets ✅ Focused on organic growth, education, and community activation ✅️ Unprecedented Giveaways 📈 Web: 🗣️ Telegram: 🌐 X: #Solana #Fairlaunch #CommunityOwned #CTO #Crypto #PAPERshow more

Can $300 RTX3060 be faster than $10,000 A100 for... LLM decoding?🧐Yes Introduce EAGLE-2: - 4.26x🚀vanilla (13B) - 1.4x🚀EAGLE (13B) - No extra training than EAGLE - Maintain distribution Paper: Code: Demo:show more

Can robots learn without training❓ [𝗜𝘁'𝘀 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲𝗱 ⬇... ] Teaching robots to do complex tasks WITHOUT spending hours training them. Sounds cool, right? That's exactly what DIAL-MPC does! The first training-free method for whole-body torque control using full-order dynamics: ✅ Instantly checks if a robot's moves are right or wrong ✅ Adapts quickly to new tasks without needing extra training ✅ Could work hand-in-hand with other robot learning methods Robots are getting smarter AND faster without the need for long training sessions. Website: Paper: Code: Saw this first Haoru Xue ✈️ CVPR 🙏show more

OSS devs shouldn’t have to beg for compute. Exabits... is the launchpad for open-source AI to go orbital. Training on Exabits means: ✅ No throttling ✅ No permission slips ✅ No infra bottlenecks Just plug in and scale.show more

✅ Rewind on mobile ✅ 2x faster ✅ Wont... melt your phone Kick app 3.0 now live 🚀show more

🚀 #NVlabs #InstantSplat now supports high-quality sparse-view surface reconstruction... in just seconds! 📸 Build your scene with just 3 images. It's effortless, fast, and ready for you to explore. 💻 Code is now availableshow more

(1/n) 🚀 With FastVideo, you can now generate a... 5-second video in 5 seconds on a single H200 GPU! Introducing FastWan series, a family of fast video generation models trained via a new recipe we term as “sparse distillation”, to speed up video denoising time by 70X! 🖥️ Live demo: (Thanks to @gmicloud for the support!) 🔗 Blog: 🔓 We fully open-source our models, code, and data with Apache-2.0 licensesshow more

Excited to share CrystalReasoner, a reasoning model for crystal... structure generation with LLMs and property-conditioned generation through RL: Website: Paper: Code:show more

🚀 Introducing GenLit – Reformulating Single-Image Relighting as Video... Generation! We leverage video diffusion models to perform realistic near-field relighting from just a single image—No explicit 3D reconstruction or ray tracing required! No intermediate graphics buffers, directly in the pixel space! 📄 Dive into the paper: 🎥 Project page & demos: 🛠 Code coming soon! #GenerativeAI #ComputerVision #Relighting #DiffusionModels #Graphics 🧵 1/5show more

Introduce EAGLE, a new method for fast LLM decoding... based on compression: - 3x🚀than vanilla - 2x🚀 than Lookahead (on its benchmark) - 1.6x🚀 than Medusa (on its benchmark) - provably maintains text distribution - trainable (in 1~2 days) and testable on RTX 3090s Playground: Blog: Code: ⚒️First Principle: Compression! Yi Ma We find that the sequence of second-top-layer features is compressible, making the prediction of subsequent feature vectors from previous ones easy by a small model. 🙏Acknowledge: This project is greatly inspired by the Medusa team (Tianle Cai @yli3521 Zhengyang Geng Hongwu Peng Tri Dao), the Lookahead team (Hao Zhang LMSYS Org), and others. Joint work with Yuhui Li and Chao Zhangshow more