ChatGPT Live could make talking to AI feel straight out of the movies


AI voice assistants have been chasing the sci-fi dream for years, but they still have a hard time holding a conversation with humans. Most voice systems still need clear turns, clean pauses, and a few seconds before they respond. OpenAI is now rolling out GPT-Live, a new voice model for ChatGPT Voice that is designed to make those exchanges feel faster and less scripted.

The main upgrade is what OpenAI calls a full-duplex architecture. In simpler terms, GPT-Live can listen and speak at the same time. It continuously processes what the user is saying while also generating its own response, allowing it to decide when to talk, when to pause, when to keep listening, and when to use a tool.

What makes GPT-Live different from older voice systems?

OpenAI says GPT-Live can handle the messier parts of a normal conversation more smoothly. Users can interrupt ChatGPT with another question, pause while thinking, ask it to slow down, or tell it to stay quiet and listen. It can also respond with small acknowledgments like “mhmm” or “got it,” so the conversation does not feel as rigid.

Introducing GPT-Live, a new generation of voice models for natural human-AI interaction.

Rolling out in ChatGPT starting today.

You’ll want to turn the sound on for this one. pic.twitter.com/WzoQFvA5ir

— OpenAI (@OpenAI) July 8, 2026

The model is also designed to work better in noisy environments. The company says ChatGPT Voice should now be better at focusing on the user’s voice when there is background noise, such as traffic or nearby conversations.

GPT-Live can also hand off tougher requests in the background. If a question needs web search, deeper reasoning, or more complex work, it can delegate that task to GPT-5.5 and bring the result back when it is ready. The spoken conversation can continue while that happens.

Who gets GPT-Live first?

GPT-Live is rolling out globally in ChatGPT on iOS, Android, and the web. GPT-Live-1 will power ChatGPT Voice for Go, Plus, and Pro users. Free users will get GPT-Live-1 mini instead.

OpenAI is also adding visual cards to voice chats. So, if you ask about weather, stocks, sports, or similar topics, ChatGPT can show a card on screen while continuing the voice conversation. Search, memory, images, and file uploads will also continue to work with ChatGPT Voice.

Currently, the main limitation is around video. GPT-Live can handle voice conversations inside ChatGPT at launch, but it does not yet work with video or screen sharing. In other words, you cannot point your camera at something or share your screen during a GPT-Live voice chat yet. OpenAI says those features will arrive later.



Source link

Leave a Reply

Subscribe to Our Newsletter

Get our latest articles delivered straight to your inbox. No spam, we promise.

Recent Reviews


TL;DR

Meta stripped NameTag facial recognition code from its AI app one day after WIRED exposed it on 50 million phones. Meta says no decision has been made.

Meta removed nearly all traces of an unreleased facial recognition system from its smart glasses companion app on Friday, one day after WIRED reported that the software had been quietly embedded in an app installed on more than 50 million phones. The feature, which Meta internally called NameTag, was designed to convert faces captured by the company’s Ray-Ban smart glasses into unique biometric signatures and compare them against a database stored on the user’s device. WIRED also found that faces the system failed to recognise were cropped, indexed, and stored locally for future processing.

Andy Stone, Meta’s vice president of communications, told WIRED on Monday that the feature is “purely exploratory,” adding that no final decision has been made on what to do with it. That characterisation sits uneasily with the evidence WIRED documented. The version of Meta AI published the day of WIRED’s Thursday report contained several code libraries explicitly named for face recognition, a process for running the NameTag recognition pipeline, and a “Person recognised” alert the app would have shown if someone were identified.

Friday’s release stripped all of it out, along with a folder where the app would have stored the cropped images and biometric signatures of unrecognised faces. Meta did not answer WIRED’s questions about why the code was removed or whether the changes were planned before the story was published. A few fragments remain in the latest version, including an internal debug menu label and a dormant link meant to open a recognised person’s profile, pointing to parts of the system that are no longer there.

The 💜 of EU tech

The latest rumblings from the EU tech scene, a story from our wise ol’ founder Boris, and some questionable AI art. It’s free, every week, in your inbox. Sign up now!

The gap between Meta’s public statements and the code WIRED found is the central tension. Before the Thursday report, Stone dismissed the findings by writing that the company could not answer questions about how the system would work because “the feature does not exist.” Andrew Bosworth, Meta’s chief technology officer, called the reporting “incredibly misleading” and “absolutely dishonest.” Yet the code was functional enough to include three AI models, one to detect faces, another to crop them, and a third to encode them as biometric data, all embedded in the companion app for a product already at the centre of a mounting privacy crisis.

Meta declined to answer ten questions WIRED posed before publishing, including whether it had already created the database of face profiles NameTag uses, how long the app retains photographs and biometric data of unrecognised people, and whether that data would ever be sent back to Meta’s servers. The company also did not respond to questions about whether it was building NameTag for blind or low-vision users, or to criticism from privacy advocates who warned the system could let stalkers and abusers identify strangers in public.

NameTag first surfaced in February, when The New York Times, citing internal Meta documents, reported that the company was developing face recognition for its smart glasses and considering a launch as early as this year. One internal memo reportedly described releasing the feature during a “dynamic political environment” when privacy and civil liberties advocates would be distracted by other concerns. WIRED subsequently found that much of NameTag’s machinery had been built into the Meta AI app as early as January, months before any public acknowledgement, adding another layer to the company’s pattern of shipping first and disclosing later when it comes to its smart glasses.

Kade Crockford, director of the technology for liberty programme at the American Civil Liberties Union of Massachusetts, said the removal does not undo the original decision to ship the code and pointed to it as evidence that consumer privacy needs stronger legal protection than Congress has been willing to provide. The Massachusetts House of Representatives last week unanimously passed a consumer privacy bill that, if enacted as written, would impose strong enforcement provisions including a private right of action allowing aggrieved users to sue. “State lawmakers need to do their job and step up to protect consumer privacy,” Crockford said.

Meta’s sneaky tactics in slipping the face-recognition code into its smart glasses show exactly why data privacy bills need the teeth of strong enforcement,” Crockford added. “Companies like Meta prioritise their bottom line, so lawmakers need to speak in the only language its C-suite understands.” Whether a code removal prompted by investigative reporting constitutes a victory or merely a tactical retreat depends on what Meta does next, and on whether the regulatory pressure building on both sides of the Atlantic produces enforceable consequences before the feature quietly returns under a different name.



Source link