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OpenAI vs Google: Gemini Launches Live Rolls to Rival ChatGPT’s Voice Mode – A New Challenge Emerges
Google introduces Gemini Live, a voice chat AI that rivals ChatGPT Voice Mode and offers improved multimodal capabilities and engagement.
Key Takeaways:
- On locked phones, Gemini Live enables real-time voice adaption and multitasking.
- By late 2024, Google intends to expand its iOS app and add multimodal input for Gemini Live.
- Users’ emotional dependency presents a hurdle for OpenAI’s Advanced Voice Mode.
OpenAI Vs Google: The tech giant is unveiling Gemini Live, a voice chat feature for its AI assistant Gemini, to compete with OpenAI’s new Advanced Voice Mode for ChatGPT. Revealed at the 2024 Made by Google event, this innovative feature will be available to users of the advanced package, promising a seamless voice interaction experience with AI technology. Stay tuned for more updates on this exciting development in the AI race between Google and OpenAI.
OpenAI vs Google: Can Gemini Live Challenge ChatGPT’s Voice Mode?
The business has launched Gemini Live in an X thread to compete with OpenAI’s newly launched Advanced Voice Mode for ChatGPT.
The capability, which was introduced at the 2024 event, is now accessible to Gemini Advanced users. Like in a phone call, users will be able to pause, change the subject, or resume the conversation at any moment thanks to this functionality, which attempts to make AI interaction more natural and less stiff.
This function is exclusive to Google’s new speech engine, which the company claims can generate authentic conversational flow, emotional intonation, and coherence through many twists. With the ability for the AI to imitate the user’s speech in real-time, there are ten voices that seem natural. So the user may multitask without losing their train of thought, this hands-free mode can run in the background or even when the phone is locked.
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How Can We Enhance AI Interaction?
Therefore, the AI assistant’s Gemini 1.5 Pro and Gemini 1.5 Flash models are able to carry on the lengthy and intricate talks since they use a longer context window compared to the generative AI models. Because of this, Gemini Live can hold discussions for longer and save more data efficiently.
The incorporation of multimodal input, which was initially showcased at Google I/O 2024, into Gemini Live will be completed by the year’s end, in addition to voice commands, according to the company. These enhancements will make the AI more adaptable by allowing it to comprehend and respond to visual cues such as photos and movies. Support for additional languages and iOS is in the works, but for now, the update is only accessible in English and is only compatible with Android smartphones.
The launch of this functionality coincides with the company’s plans to unveil new features and synergies with its services. Google products including Calendar, Keep, Tasks, and YouTube Music will soon have extensions available in Gemini. Thanks to these upgrades, users will be able to create playlists, make reminders, and organize their schedules with the power of their voices.
Also, soon, the power button or voice commands will let Android users enable Gemini on top of any app. Thanks to this functionality, users may interact with Gemini in other apps, asking questions or creating material as easy to incorporate as an image.
How is OpenAI Tackling Challenges with Its Advanced Voice Mode?
In the ongoing rivalry between OpenAI and Google, the latter’s Advanced Voice Mode for ChatGPT encountered various issues during its restricted alpha testing, despite being a novel concept. Critics say the mode’s lifelike vocal interactions will make users reliant on the AI, despite its stated goal of providing a more genuine discussion.
As a result, OpenAI raised a new safety concern: the potential for users and AI to develop social relations, which might have negative consequences for human relationships.
Furthermore, the business has been conducting experiments to enhance the AI models’ software engineering abilities. The company has now introduced a human-reviewed subset of the SWE-bench test to address these issues; this subset improves the way AI models are evaluated when it comes to solving real software problems. This step is an extension of the current efforts to ensure that artificial intelligence advancements are both safe and practical.
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