ChatGPT has new voice models that make conversations feel much more natural


ChatGPT just became a much closer rival to Google’s Gemini Live. OpenAI has released a major ChatGPT Voice update that brings far more natural conversations with AI, not to mention better answers.

The upgrade uses new GPT-Live-1 and GPT-Live-1-mini models that revolve around continuous two-way interaction. You can talk over it, and it should be much better at knowing when to respond quickly, acknowledge you with an “mmmhmm,” or give you a moment to think.

Previous ChatGPT Voice approaches relied on you and the AI taking turns, and in the original version needed three models just to work. This not only led to stiff-sounding back-and-forth chats, but could lead to GPT either losing information or interrupting at the wrong moment.

GPT-Live can also delegate intensive tasks like agentic work to other models, such as GPT-5.6 or the imminently public GPT-5.6. The conversation will keep going even when it’s processing a complex request, OpenAI says. This makes it easier to use the company’s latest frontier models, providing faster and more accurate responses.

Like Gemini and Apple’s upcoming Siri AI, you’ll get cards for visual information, such as maps, weather, or the latest World Cup scores.

OpenAI says it’s updating its safety guardrails to match. GPT-Live can steer models toward “safer” responses, including teen-appropriate answers and help for potential self-harm. The tech giant also promises to gauge feedback over longer periods, helping it to spot possible issues with “emotionally sensitive” conversations. It won’t be allowed to imitate real people, either.

What is the GPT-Live release date?

GPT-Live is deploying now for ChatGPT Voice users on Android, iOS, and the web. It’s not initially available in the desktop app, Codex, temporary chats, or custom GPT implementations.

The quality of the model depends on what you’re willing to pay. Free users will have conversations using the GPT-Live-1-mini model, while Go, Plus, and Pro users will get the full GPT-Live 1 experience. ChatGPT Business, Enterprise, and Edu users will have to wait until sometime after launch.

Screen and video sharing aren’t available in any ChatGPT Voice system on launch, OpenAI says. If you need them, you can revert to the Standard and Advanced Voice Mode versions until GPT-Live supports the functionality. If that’s not an issue, though, you can finally have a Gemini Live-style chat outside of Google’s ecosystem.

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Unlimited conversations, faster response speed, priority access, and more

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ChatGPT’s AI-supported assistance gets even better with a paid subscription; it Plus tier offers enhanced features including unlimited conversations, faster response speed, priority access, and more.




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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.

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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.



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