OpenAI has begun rolling out its most recent voice assistant technology advancement, introducing a new voice model for ChatGPT that differs significantly from its previous variation, which resembles Scarlett Johansson’s voice. After a brief delay, this change addresses both safety concerns and user feedback.
The Latest Voice Model: A Leap Forward
The voice assistant, first previewed at the GPT-4 launch event in May, has undergone significant enhancements. Demonstrating improved voice capabilities, the new mode allows real-time adjustments to storytelling styles, showcasing a higher level of interactivity. The feature, initially scheduled for a late June alpha release, was postponed meeting OpenAI’s rigorous quality standards.
Addressing Criticisms and Enhancing Safety
One major aspect of conflict at the event was the new voice’s resemblance to the character played by Scarlett Johansson in the film Her. Johansson’s inquiry into the voice’s creation prompted OpenAI to review the voice model’s design. In response to this feedback and a recent examination of its safety policies, OpenAI decided to implement new safeguards.
OpenAI spokesperson Taya Christianson revealed that the voice model underwent rigorous testing by over 100 external red teamers, experts tasked with uncovering potential vulnerabilities. These tests led to the additional filters designed to block requests for generating copyrighted music or audio, further reinforcing the company’s commitment to ethical AI usage.
New Voices and Future Plans
The revised voice mode will feature four preset voices created by professional voice actors, with ChatGPT explicitly programmed to avoid impersonating real individuals, whether public figures or private persons. This approach ensures the new voice model maintains a clear boundary between innovation and privacy.
Looking ahead, OpenAI plans to extend access to the new voice mode to all ChatGPT Plus users by fall. This update is expected to enhance the voice interaction experience, combining advanced functionality with robust safety measures.
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