lcolucci

very cool

I don't think that's the primary purpose of realistic interactive avatars, any more than deception is the purpose of CGI. Deception requires intent to mislead — if users know they're talking to an avatar, it's not deception no matter how realistic. Just as moviegoers aren't "deceived" by CGI. It's an experience they opt into.

As for benefits: language learning with avatars, scalable corporate training, accessible education for kids, personalized coaching, and certainly entertainment, which has real value too.

Thank you!

This is so obvious now that you say it (* facepalm *). We definitely need to give the LLM context on the appearance (both from the initial image as well as any /imagine updates during the call). Thanks for pointing it out!

That's super nice of you to say. Thank you!

This is good feedback thanks! The "not patient" feeling probably comes from our VAD being set to "eager mode" so that the latency is better. VAD (i.e. deciding when the human has actually stopped talking) is a tough problem in all of voice AI. It basically adds latency to whatever your pipeline's base latency is. Speech2Speech models are better at this.

Good idea. We need to do that. I'm also excited to push the /imagine stuff further and have B-roll interspersed with the talking (like a documentary) or even follow the character around as they move (like a video game)

The curve is accelerating!

Thank you so much!

whoops I actually did set that on purpose. I guess I like watching things sped up and assumed others did too :) But you can change it.

Thank you! And the cool thing is it's actually a full video world model. We'll expose more of those capabilities soon

That's a good one. I would suggest asking them to integrate with LiveKit. Then it'll be really easy to combine InWorld and LemonSlice.