Samsung implementing fees AI, Perplexity AI to launch Mac app Newsletter #13

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Cover Image for Samsung implementing fees AI, Perplexity AI to launch Mac app Newsletter #13

đź“°Daily AI News Summary đź“°

🌟 📱 Samsung to Charge Fees for AI Features in 2024

Samsung reshapes their structure in AI. 💻⚡

đź’» Perplexity AI Mac App Launching on October 15

Perplexity AI is introducing a new AI assistant to Mac.

🔋 Nio & Monolith Collaborate on AI-Powered Battery Testing

AI in improving EV battery testing efficiency.

🤖Google Rehires AI Pioneer for $2.7 Billion Investment

Google is investing $2.7 billion to rehire an AI pioneer

🕶️ Meta Won’t Confirm AI Training with Smart Glasses Photos

AI models using data from smart glasses.

Is Samsung implementing fees for AI features starting next year? Here's what the report suggests

Is Samsung implementing fees for AI features starting next year? Here's  what the report suggests | Mint

Samsung's Galaxy AI suite, introduced alongside the Galaxy S24 series earlier this year, may not remain entirely free beyond 2025. Several media reports indicate that the South Korean tech giant is considering implementing fees for certain AI functionalities starting at the end of next year. This follows similar announcements made when the company launched the Galaxy S24 in January.According to a report from SamMobile, the potential move was highlighted in footnotes of the press release for the newly launched Galaxy S24 Fan Edition (FE). The company reportedly stated, "Fees may apply to certain AI features at the end of 2025." Although Samsung has not officially confirmed this, we could not independently verify the claim, so the information should be approached with caution.Samsung will start charging fees for certain AI-powered features in 2024. While details are still unclear, this move could apply to advanced AI functionalities across their devices, shifting the landscape for premium AI services and potentially affecting Samsung’s user experience.

Perplexity AI to launch Mac app on October 15

Perplexity AI to launch Mac app on October 15

Perplexity AI, a top player in the artificial intelligence (AI) scene, is gearing up to launch its native app for Mac users. This news comes on the heels of the successful ChatGPT app release for macOS earlier this year. Unlike ChatGPT, which isn't listed on the Mac App Store, Perplexity's upcoming app will be available for download straight from the store.The new Perplexity app for Mac is officially on the way! You can check out its landing page on the Mac App Store, where you can pre-save the app and get notifications for its release on October 15. The native Mac app will come packed with features like Pro Search with voice or text input, Thread Follow-Up for ongoing chats, source tracking, and history search, among others.Perplexity AI, known for its AI-powered research assistant, is set to launch a dedicated Mac app on October 15. The app will bring AI-driven search and information retrieval to macOS users, promising to enhance productivity and simplify knowledge exploration for researchers, professionals, and tech enthusiasts.

Nio and Monolith Join Forces for AI-Powered EV Battery Testing

EV Battery Testing With AI | Monolith

Nio (NYSE: NIO), a promising player in the electric vehicle (EV) arena, is undertaking a significant partnership with Monolith, a UK-based artificial intelligence software startup. This collaboration aims to bolster the real-time testing and improvement of electric car battery packs in Europe, marking a pivotal step in Nio's commitment to enhancing electric vehicle technology and user experience.Monolith's expertise isn't limited to a single partnership; the software firm already works closely with top automobile manufacturers, including the likes of Mercedes-Benz, BMW, and Honda. Leveraging powerful machine learning algorithms, Monolith is adept at evaluating and enhancing the performance of EV batteries—an essential element for the automobile industry's pivot to electric models.Electric vehicle manufacturer Nio and AI-driven materials company Monolith have announced a partnership to revolutionize EV battery testing. Their collaboration will leverage AI to improve testing efficiency, reduce development timelines, and enhance battery performance, marking a significant advancement in the push for sustainable transportation.

Google hesitated on his chatbot, now spends $2.7 bn to rehire AI pioneer

Google

As the competition for AI dominance intensifies, tech giants are spending vast sums to acquire top talent. Google’s recent multi-billion dollar decision to bring back Noam Shazeer, one of AI's key innovators, stands out as a major move. Shazeer is known for his contributions to research that sparked the current AI surge. His return to Google marks more than just a high-profile hiring; it signifies a crucial moment in the ongoing AI revolution.After initial hesitation in the AI space, Google is taking a bold step by rehiring a key AI pioneer with a $2.7 billion investment. This move underscores Google’s commitment to advancing its AI capabilities, especially as it competes in the increasingly competitive generative AI landscape.

Meta won’t say whether it trains AI on smart glasses photos

Meta’s AI-powered Ray-Bans have a discreet camera on the front, for taking photos not just when you ask them to, but also when their AI features trigger it with certain keywords such as “look.” That means the smart glasses collect a ton of photos, both deliberately taken and otherwise. But the company won’t commit to keeping these images private.We asked Meta if it plans to train AI models on the images from Ray-Ban Meta’s users, as it does on images from public social media accounts. The company wouldn’t say.“We’re not publicly discussing that,” said Anuj Kumar, a senior director working on AI wearables at Meta, in a video interview with TechCrunch on Monday.Amid growing privacy concerns, Meta remains silent on whether it trains AI models using photos and data captured by its smart glasses. The company’s reluctance to clarify this issue raises questions about the potential privacy implications of its AI training processes, sparking broader discussions on data transparency.

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