Hey! Bit of an unusual question maybe: if this stuff further exarcerbates the loneliness epidemic and atomization of society, will you be able to live with yourself you think? If you hear about teenagers only spending time with your chatbot in 5 years, will you feel some amount of personal responsibility or not? Always curious to hear you guys' perspective on that kind of stuff!

I'm interested in how you can present simultaneous rich visual information about what is happening the side delegation work.

i.e. how will full duplex & delegation enable/enhance desktop flows w/o corresponding leaps in UI.

Can I connect it to my skills/tools? Example case, I have a knowledge base and event log in my company. I need a brainstorm companion, which will have full access to this knowledge, can converse about it and can invoke skills/tools available in the repo.

Can it sing? Is it an end to end multimodal model?

Can it delegate to just one agent at a time or can it spawn multiple subagents for different tasks?

What made you to try again?

How does it compare to the realtime-2 model?

Does video/image input still work with these duplex models?

When is it rolling out? Currently on ChatGPT Pro but not seeing it yet?

Are you still using LiveKit for the back-and-forth architecture

> Would love to hear your feedback!

I'm currently on the 20 $/mo subscription and using codex meaningfully, and i'm loving this.

I am considering bumping my subscription to the 100 $/month and this might be the reason i switch, BUT: i really envision me using this also through other means as well (eg: agents like openclaw/hermes) in agentic ways.

Will this be supported?

I can make OpenAI stuff the center of my agentic AI life, but I need it to be interoperable.

Can we have less terrible voices please? Nothing that sounds like a bubbly millennial. Literally anything that has gravitas.

> GPT-Live-1 is the first version of a new generation of models, and we believe the full-duplex architecture + delegation enables entirely new ways of human-AI interaction.

Awesome. Are you guys able to share anything about the model architecture? I've been interested lately in split-transformer RVQ-based conversational agents, e.g. via stuff like https://arxiv.org/abs/2412.10208 (ResGen) and https://arxiv.org/abs/2603.18090 (MOSS-ITT) and of course Moshi (https://arxiv.org/pdf/2410.00037).

Intuitively, decoupling semantic and audio-timeslice-space generations with coupled but distinct histories is right model architecture, not just for these sorts of assistants, but for domains like robotics too.

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- As models get better, have you considered some kind of filter or particular cadence to serve as a reminder that the user is not talking to a human?

- The videos felt scripted and dishonest