| ▲ | pantelisk 5 hours ago | |
Yes, you can see an early demo video in the page, of a very early version (I decided not to post the final wip yet). I’m building an AI gaming companion. Essentially an AI NPC (a speaking dog, think dogmeat of fallout on steroids) that is grounded in the game world, can perceive what’s happening, perform actions, follow complex multi-step instructions, and strategize with the player. I want it to feel natural, so I 'm aiming for real audio conversationality (no push to talk & wait), so audio is important, but also... every millisecond trimmed from audio can be dedicated to heavier AI systems (caching helps heavily there, but extracting player's intent before it even reaches an LLM is probably the biggest trick). Budgets are pretty tight, ~400ms for everything. I have optimized qwen-3-asr and added streaming detection to it, as well as pocket-tts (this) and qwen-3-tts, with a goal of ~70ms for audio for both detection/creation and then ~350ms for the planning. It's interesting that gpt-live was just announced today, planning to make more things open source as well as the learnings while building this. | ||