🔥🔥🔥We’ve been listening to your feedback!
- Source
- x.com
- Date
🔥🔥🔥We’ve been listening to your feedback! Our latest world model HY-World 1.5 just got a major upgrade to make world generation more accessible than ever: 🛠️ Open Training Code: Fully customizable code for building and training your own models. ⚡ Accelerated Inference: Turbocharged speed and optimized VRAM for real-time interaction. 📉 Lite 5B Model: A new lightweight model that fits into small-VRAM GPUs. 🙌 Zero Waitlist: Our online app is now fully open to everyone—no application required. This is just the beginning. HY-World is building the future of spatial intelligence—open, accessible, and community-driven. 🕹️ Play now: https://t.co/0awf2D5LaT ⭐ GitHub:
Context
Tencent's January 2026 update made WorldPlay more adaptable by releasing training code and a smaller model option. The announcement describes a five-billion-parameter version for GPUs with less memory. The repository makes the tradeoff explicit: the lightweight pipeline uses less GPU memory but compromises action control and long-term memory. Developers gain a smaller deployment option alongside code for training and their own world models.
- fine-tuning — Taking a trained model and training it a bit more on your own examples so it gets better at one specific job.
- inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
postExplorationBench tests how models explore, with exactly verifiable grading
postHy Image3.5 preview is live. 🚀 Professional-grade image generation, +30% win…
postTencent Hunyuan's EvolveScaler trips up frontier models on evolving facts
postTencent Hunyuan open-sources AuK, a unified speech generation and editing model
Checking sign-in…
Loading comments…