Hao AI Lab
@haoailab • 8,509 subscribers
Hao AI Lab at UCSD. Our mission is to democratize large machine learning models, algorithms, and their underlying systems.
Shorts
Videos
GPT and Claude now operate real robot arms. What about open-weight models? 🤔 Introducing ORA: Open Robot-Use Agents. An open harness powered by DeepSeek V4.1-Flash, ORA operates robots from visual input—zero-shot, no VLA—and competes with frontier-model agents.
Hao AI Lab23,974 görüntüleme • 3 gün önce
When Ilya Sutskever once explained why next-word prediction leads to intelligence, he made a metaphor: if you can piece together the clues and deduce the criminal’s name on the last page, you have a real understanding of the story. 🕵️♂️ Inspired by that idea, we turned to Ace Attorney to test AI's reasoning. It’s the perfect stage: the AI plays as a detective to collect clues, expose contradictions, and uncover the truth. We put the latest top AI models—GPT-4.1, Gemini 2.5 Pro, Llama-4 Maverick, and more—to the test in Ace Attorney, to see if they could shout Objection! ⚖️, turn the case around, and uncover the truth behind the lies.
Hao AI Lab999,465 görüntüleme • 1 yıl önce
Claude-3.7 was tested on Pokémon Red, but what about more real-time games like Super Mario 🍄🌟? We threw AI gaming agents into LIVE Super Mario games and found Claude-3.7 outperformed other models with simple heuristics. 🤯 Claude-3.5 is also strong, but less capable of planning complex maneuvers. Gemini-1.5-pro and GPT-4o perform less well.
Hao AI Lab234,336 görüntüleme • 1 yıl önce
(1/N) We're launching Dreamverse. Most AI video models take minutes to generate a 5 s 1080p clip. In 4.5 seconds, we can generate 30 s 1080p clips on a single GPU. Our videos generate faster than you can watch them: stop waiting on prompts and start directing scenes live. 🕹️Demo: 📑 Blog: Welcome to the era of vibe-directing 👇
Hao AI Lab94,240 görüntüleme • 7 ay önce
A 5-second 480P video, generated entirely on a Mac, in 30 seconds. No CUDA, no cloud, 3.9 GiB of memory. FastMetal brings the FastWan-QAD family to Apple Silicon. The DiT, the DMD sampler, and the decoder all run on Metal through MLX, INT8 by default. Three models: 1.3B at 480P, 5B at 720P, 14B for quality. 📷 Blog: 📷 Code: 📷 Models:
Hao AI Lab22,950 görüntüleme • 2 ay önce
(1/5) FP4 hardware is here, but 4-bit attention still kills model quality, blocking true end-to-end FP4 serving. To fix that, we propose Attn-QAT, the first systematic study of quantization-aware training for attention. The result: FP4 attention quality is comparable to BF16 attention with 1.1x–1.5x higher throughput than SageAttention3 on an RTX 5090 and 1.39x speedup over FlashAttention-4 on a B200. Blog: Code: Checkpoints:
Hao AI Lab38,252 görüntüleme • 6 ay önce
🔥 Pokémon Red is becoming a go-to benchmark for testing advanced AIs such as Gemini. But is Pokémon Red really a good eval? We study this problem and identify three issues: 1️⃣ Navigation tasks are too hard. 2️⃣ Combat control is too simple. 3️⃣ Raising a strong Pokémon team is slow and expensive as an eval. We find most of the problems are not fundamental to games themselves, but how they have been used. We believe game-as-an-eval remains a compelling and underutilized evaluation strategy. We introduce Lmgame Bench to standardize game-as-an-eval. More details and findings in our blogpost:
Hao AI Lab69,089 görüntüleme • 1 yıl önce
(1/N) Content creators have been stuck with costly and slow video generation APIs for far too long. We couldn’t take it anymore.😅😭 FastVideo’s new real-time inference stack has the fastest 1080p TI2AV pipeline ever.😍🚀🚀 Our optimized LTX-2.3 pipeline creates 5-second 1080p videos with audio in 4.55 s, on a single GPU! 3.9x faster than the next fastest option. 🕹️Live demo: 📜Blog:
Hao AI Lab30,249 görüntüleme • 7 ay önce
🎥 Frustrated by Sora's credit limits? Still waiting for Veo 2? 🚀 Open-source video DiTs are actually on par. We introduce FastVideo, an open-source stack to support fast video generation for SoTA open models. We have supported Mochi and Hunyuan, 8x faster inference, 720P 5-second video in 62 seconds.
Hao AI Lab69,818 görüntüleme • 1 yıl önce
![[1/N]🚀New decoding paradigm drop!🚀 Introducing Lookahead Reasoning(LR): step-level speculation that stacks with Speculative Decoding(SD). It has been accepted to #NeurIPS2025 🎉 📖 Blog: 💻 Code: 📄 Paper:](https://image.24vids.com/tw-1970552850377064933/amplify_video_thumb/1970552446008410113/img/kanCaO3qZVakuKd8.jpg)
🎥 Videos DiTs are painfully slow, HunyuanVideo takes 16 min to generate a 5s 720P video on H100. 🤯 Announcing Sliding Tile Attention (STA): * Accelerate 3D full attention (FA3) by up to 10x * Slash the end-to-end time from 16 --> 5 mins * NO extra training. NO quality loss! 🚀 Can you tell which videos are generated by the original HunyuanVideo, and which by STA? 👀 Blog:
Hao AI Lab58,034 görüntüleme • 1 yıl önce
(1/5) 5 seconds of video. 1.8s seconds of generation. One NVIDIA GeForce RTX 5090 on FastVideo. 🤯🚀 - FastWan-QAD, a new family of video generation models - Trained with FastVideo's Quantization-Aware Distillation (QAD) recipe. - Powered by FastVideo, we push a single NVIDIA GeForce RTX 5090 to its absolute limit: generating a 5-second 480P video in 1.8s end-to-end! 📜 Blog: 💻 Code: 💽 Model:
Hao AI Lab13,411 görüntüleme • 3 ay önce
🔧🤖 New wave of open-source LLMs like Deekseek-R1-0528 and Qwen3-235B-A22B are leveling up with stronger agentic performance. We test them in head-to-head gameplay — the upgraded Deekseek-R1-0528 outsmarts strong reasoning models like o4-mini across several games and it nearly matches SOTA performance on Tetris, going toe-to-toe with o3. ✨🧠 Check out how R1 manages to clear lines in Tetris while other models still struggle 👇
Hao AI Lab36,573 görüntüleme • 1 yıl önce
LLaMA-4 Maverick performs well on reasoning benchmarks and ranks 2nd on the Chatbot Arena, yet its true performance remains controversial. What if we put them in a transparent gaming environment? 🎮 Our benchmark tells a different story...🤔 Will true intelligence shine through play? Let’s find out 👇
Hao AI Lab39,164 görüntüleme • 1 yıl önce
![[1/5] Do you know random gameplay in 2048 can yield 128 tiles and only 1% of human gameplay can reach a 2048 tile? Check out how today’s top AI models compare! ⚖️ For top reasoning models, the results were wild: only Claude-3.7 (with reasoning) and o1 managed to outperform random moves, achieving a 256 tile in 114 and 116 steps respectively! 😱](https://image.24vids.com/tw-1900645722095317255/ext_tw_video_thumb/1900644511166177280/pu/img/6im9cosZl9qZWYMQ.jpg)
[1/5] Do you know random gameplay in 2048 can yield 128 tiles and only 1% of human gameplay can reach a 2048 tile? Check out how today’s top AI models compare! ⚖️ For top reasoning models, the results were wild: only Claude-3.7 (with reasoning) and o1 managed to outperform random moves, achieving a 256 tile in 114 and 116 steps respectively! 😱
Hao AI Lab26,162 görüntüleme • 1 yıl önce
You might have heard top reasoning models now match AIME gold medalists in 2025 🏅, but watch them crumble in box-pushing Sokoban (倉庫番) from the 80s! 🧩 Again, we put top reasoning models into the game, o3-mini (medium) took the crown, reaching level 4 before tangled with just two boxes. 😵💫 Claude-3.7-thinking managed two levels, Deepseek-R1 cleared one level. Gemini-2.0-flash-thinking solved none.
Hao AI Lab23,800 görüntüleme • 1 yıl önce
🚨 New Challenger: GROK joins the Game Arena Benchmark! We evaluated Grok3-mini-beta: thinkining on four games: 🧩 2048 | 🧱 Sokoban | 🍬 Candy Crush | 🎮 Phoenix Wright With fast progress, it’s already comparable to top models like OpenAI’s O1, previous O3-mini, and Gemini-2.5-Pro, ranked 🥇 1st in 2048 and 🥈 2nd in Sokoban. But the Grok3-beta Thinking API is still unreleased—leaving an unanswered question: Can it match or surpass O3’s dominant reasoning performance? For now, let’s take a closer look at how Grok3-mini-beta: thinking performs in gameplay so far. 👇
Hao AI Lab20,121 görüntüleme • 1 yıl önce