@_samirism If you integrate fully customisable high quality interactive avatars more generally, people can make whatever inanimate blobs they wish for their own dots (along with infinite more interactive options). Meta has won users over with theirs.
@thsottiaux Supported events for listening, speaking, waiting for approval and reconnecting would help people build expressive assistant avatars. Options for a face that reflects what’s actually happening would be much more engaging than another animated orb.
Great to see more control here. The bigger issue for me is consistency: my dot assistant can feel noticeably different in voice and text and be gpt chat in both contexts, even with the same personalisation (more vibrant and engaging in gpt with greater alignment to personalisation). Can we make it clearer what context each mode receives, and make continuity more reliable? One assistant, fewer reintroductions.
@Dilmerv Can your muse hang out in any experience with you / be a gaming copilot / watch a movie and talk trash etc? Lot of opportunity here as the models get better one assumes?
EDGAR sharpens a Gaussian head avatar with identity-guided diffusion, then bakes the fixes back into the 3D model. Refinement runs once so the original renderer stays as fast as before; training and inference code are public.
https://t.co/6noexZuxiK
@RepYassAnsari The political grand-standing to the broader cost of America and productivity is disgraceful. Have some objectivity and move beyond petty partisanship. Does your profound decree ensure the rest of the world stops too?
@athyuttamre I love OpenAI’s work here, but hate that voice is less aligned with personalisations than the text model, so much so that I’ve taken to running the text model into Eleven through a custom interface
@w01fe If context helps determine what an assistant thinks I want, let me inspect, correct and export it. Useful controls would distinguish my instructions from its guesses. ‘Trust me, I remember’ is doing rather a lot of work.