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Top AiNews.com Headlines for Wednesday July 31st

OpenAI Rolls Out Advanced Voice Mode to Select ChatGPT Plus Users

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Today’s Headlines:

  • OpenAI Rolls Out Advanced Voice Mode to Select ChatGPT Plus Users - The company initially planned to release the realistic voice conversation experience in late June but delayed it to July to meet their launch standards. The new audio capabilities will allow users to speak to ChatGPT and receive real-time responses without delay. Additionally, users can interrupt ChatGPT while it is speaking, addressing two significant challenges for AI assistants in achieving realistic conversations.

  • AI Godfather Geoffrey Hinton on AI’s Future and Risks - In a compelling interview with Scott Pelley from CBS News, Geoffrey Hinton, often referred to as the Godfather of AI, shared his insights on the future of artificial intelligence, its potential benefits, and the significant risks it poses. Hinton, whose groundbreaking work on neural networks has been instrumental in AI development, expressed both optimism and concern about the trajectory of AI technology.

  • Taco Bell Expands AI Voice Tech to Hundreds of Drive-Thrus - Taco Bell is set to expand its use of voice AI technology to hundreds of its drive-thru locations by the end of the year. The AI technology has demonstrated several benefits, including improved order accuracy, reduced wait times, and providing a consistent, friendly experience.

  • Nvidia Stock Jumps 11% After Announcing New AI Robotics Tools - Nvidia's stock surged by 11% following a series of groundbreaking announcements at the annual SIGGRAPH event in Denver, Colorado. Nvidia CEO Jensen Huang declared the advent of the "third wave" of AI, emphasizing the rise of robotics, particularly humanoid robots. With a current market capitalization of $2.833 trillion, Nvidia is now close to surpassing Microsoft ($3.080 trillion) and potentially challenging Apple ($3.408 trillion) as the world's most valuable company.

  • Friend's $99 AI Necklace Aims to Combat Loneliness - Avi Schiffmann, a Harvard dropout known for his award-winning COVID-19 tracking website, is developing an AI device called Friend. This neck-worn device is designed to serve as a companion. The company announced it will start taking preorders for the basic white version of Friend, priced at $99 and expected to ship in January 2025.

  • Microsoft Urges Legal Action Against AI-Generated Deepfake Content - Microsoft is urging Congress to regulate AI-generated deepfakes to protect against fraud, abuse, and manipulation. Vice chair and president Brad Smith emphasizes the need for swift action to safeguard elections and protect vulnerable groups such as seniors and children from AI-driven scams and abuse.

  • Gov. Newsom Backs Bills to Curb Deepfake Election Content - Governor Gavin Newsom announced on X his intention to sign legislation that would crack down on the use of AI in campaign ads. This announcement followed Elon Musk's reposting of an altered video ad featuring Vice President Kamala Harris with an AI-generated voiceover.

  • OpenAI Backs Senate Bills for AI Safety and Accessibility - OpenAI’s support for these bills follows a letter from Senate Democrats and an independent lawmaker to OpenAI CEO Sam Altman. The letter sought clarification on the company’s protocols for ensuring safety and its treatment of whistleblowers within the organization.

  • Google Upgrades Search to Combat Deepfakes and Enhance Privacy - Google detailed its new measures for handling explicit fake content, or non-consensual deepfakes, in Search. Previously, users could request the removal of such content from search results. Now, Google will also filter all duplicates of the image and explicit results from similar searches about the user, not just the original removal request.

  • New Method Helps AI Models Avoid Overconfidence in Wrong Answers - Researchers from MIT and the MIT-IBM Watson AI Lab have introduced a new calibration method called Thermometer. This technique is designed to help large language models (LLMs) align their confidence levels with their accuracy, ensuring users know when to trust a model's responses.

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