Hy4 preview powers dynamic builds for a 770B open model. 770B total parameters, 49B active per token, native 1M context, Apache 2.0, direct vLLM and SGLang support, plus official FP8 weights. In this demo, Hy4 creates a colorful, playable 2D space shooter game directly from a prompt, featuring active... controls, enemies, visual particle effects, plus score tracking. It is a preview. Test it, measure tokens/s, compare it with BF16 or FP8, and see what it builds. Try it in WorkBuddy: Tencent Hy WorkBuddy #Hy4Preview #OpenSourceAI #GameDev #AIshow more

Direct support for common serving tools can make testing far simpler.

Large context windows become useful when they support complex creative projects.

Seeing a model build something interactive is more useful than another benchmark alone.

Open models allow developers to verify claims in their own environments.

The active parameter count matters when speed and capability need balancing.

Developers value clear integration with standard serving engines out of the box.

770B parameters building a playable space shooter from a single prompt with particle effects and score tracking open source Hy4 is showing serious power!

Open licensing gives more teams a chance to experiment with their own ideas.

49B active per token is super lean for a model this size. Having official FP8 weights ready at launch saves so much quantization guesswork.

Transparent architectures make it easier to evaluate real operational costs.

Balancing scale and serving efficiency is essential for practical engineering.

A 770B open model building playable games from a prompt is seriously impressive.

Hy4 preview is insane — 770B open model building a playable game from a prompt is next-level!

Combining huge scale with efficient token activation makes deployment much more practical.

770B parameters is a huge model for this kind of work.

A playable game is a practical way to show what dynamic building can look like.

Flexible open architectures make it easier to tailor models to specific niches.

Efficient token usage makes large open models much more economical to run.

Tools that generate functional applications open new doors for indie developers.

Rapid interactive prototyping highlights the practical utility of modern architectures.

Open weights give developers more room to test real workflow limits.

Open releases encourage wide testing and unexpected real world applications.

Interactive demos demonstrate model capabilities far better than static benchmarks.

Seeing interactive arcade scenes drop from a brief is wild

Long context is useful when a project needs the model to retain more of the build.

770B open model building playable games from a promp Hy4 preview is wild Gonna test it on WorkBuddy

Open source access invites community collaboration and rapid workflow refinement.

Direct support for optimized inference engines accelerates production adoption.

Building interactive software directly from prompts shows significant pipeline progress.

Running capable models on accessible hardware lowers the barrier for developers.

A massive context window keeps complex logic consistent across entire builds.