GPT-Live can listen while it speaks. To make that feel natural at ChatGPT scale, we rebuilt the voice stack from client to model. This new architecture keeps audio flowing continuously, so deeper reasoning and tool use don't interrupt the conversation.

LLMs can mimic thought and feeling with uncanny skill, but intelligence alone is not enough for subjective experience go.nature.com/3VSXWQ4

My dear friends, I’d like to show you my latest toy project Introducing Handwired: turn your regular JavaScript code into a neural net! - no training - exact outputs vs the JS program - fully differentiable All runnable in a browser, without GPU

Real life, baby

you can now use native decision delegation in your voice app. a week ago i wrote this voice x decision doc. today i update the guide because now it is miles better you can trigger a decision on every input or output frame (roughly every 200ms). you can have a realtime decision engine judging what i’m saying while i’m still saying it!! try realtime action × realtime voice 👇 developers.openai.com/api/do…

New voices. Better accents. And less "checking..." GPT-Live-1.1 brings these updates to Voice in ChatGPT, Codex, and dots, with new voices in French, German, Hindi, Mexican Spanish, Korean, and Japanese. Rolling out today to all users. Coming soon to the API.

interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale automated interpretability project, finding about 2% of neurons legible with the primitive tools we had with modern agentic tools and a much closer look, the picture looks totally different. the vast majority in models up to trillions of parameters are legible, and their circuits beautiful. many famous examples of tangled neurons turned out to be misunderstood. The roadblocks I expected mostly aren't there. I now think ambitious interpretability will be solved by the time we need it most, and possibly quite soon, as automated scientists keep improving. it may be a bitter lesson for interpretability: the simple thing, at absurd scale, works already-clean.goodfire.com/

do you think that in the long term, a separate echo cancellation step (neural/linear) still makes sense, or just send raws(/+loopbacks) and let the model figure that out too?

Bvc?

Can some kind of built-in diarization help with such cases in your opinion?

The model eats the harness, aka bitter lesson

How to kill a voice agent? Just turn on the TV ☠️ We benchmarked 14 voice agents with a TV playing in the background. Task completion fell from 38.7% to 8.6% 🧵/

Model steering now live in the Responses API. Always thought this is where things needed to head. Did the responses API team beat @juberti to adding realtime steering? Surely at some point the APIs will converge.

This document is going to be an assigned reading in college classes that cover this moment in time, there's a lot happening in a few paragraphs... ahmath.org/statements

We heard you loud and clear. ChatGPT Voice can now: - Use plugins like your email, calendar, and Slack. - Be powered by GPT-6 Astra, Sol, and Luna. - Be used in ChatGPT Work on web and mobile, so you can create docs, decks, sites, and spreadsheets or tackle complex tasks in the browser, just by talking. Rolling out globally today in the latest version of the app.