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AI HITS APPLE ADS

Plus AI-Generated Videos For Kids Are Swamping YouTube?

Apple’s AI Ads Platform Could Mean More Annoying Mobile Ads

Apple is reportedly developing an AI platform to power more personalized and targeted mobile advertising. The system would use AI to analyze data about users’ app preferences and behaviors to surface more relevant sponsored app ads within the App Store. While this aligns with Apple’s aim to boost its mobile advertising business, many consumers are concerned such AI-driven ad targeting could become overly invasive and annoying. There are worries it could exacerbate issues like being inundated with disruptive, unsolicited promotions following every online activity. Privacy advocates also question how Apple’s reputed AI ad system would obtain and handle user data responsibly. As convenient as AI technology promises, its advertising applications risk eroding the seamless user experiences consumers expect from Apple devices and services.

AI-Generated Videos Proliferating on YouTube for Kids

Artificially generated videos made using AI technology are rapidly spreading across YouTube’s kid-focused platform. These videos often mimic the look and themes of popular children’s shows and movies but with crude, low-quality visuals and nonsensical plots created by AI. While some kids find the strange content entertaining, parents and experts express concerns. Potential risks include exposing young viewers to inappropriate content, copyright infringement, or the videos collecting personal data. YouTube’s systems struggle to differentiate AI-generated videos from human-made content for moderation and ad policies. As the phenomenon grows, calls increase for better safeguards, transparency around AI video generation, and prioritizing child protection online. The rise of AI kid videos highlights the challenges of governing emerging technologies impacting vulnerable audiences.

Blending AI and Robotics Could Create Powerful New Systems

Researchers are fusing the rapidly advancing fields of AI and robotics, with potentially profound implications. By combining the language understanding of large AI models with the physical capabilities of dexterous robotic systems, they aim to create hybrid machines that can comprehend complex commands and execute them in the real world. Potential applications span factories, healthcare, exploration, and personal assistance. However, developing such tightly integrated AI-robotic systems presents major technical obstacles around sensory processing, coordination, and safety. There are also ethical concerns over ceding too much-advanced functionality to machines lacking human judgment. Still, proponents believe blending these technologies could unlock powerful new AI tools exponentially more capable than currently limited robots or disembodied virtual assistants.

Authors Sue Nvidia Over AI Model’s Use of Copyrighted Works

A group of authors is suing tech company Nvidia, alleging its powerful AI system Megatron unfairly used their copyrighted books during training without permission. The class-action lawsuit claims Megatron’s ability to generate human-like text pulls directly from analyzing the writers’ protected literary works, violating intellectual property rights. Nvidia denies any wrongdoing, arguing their AI models merely learn general patterns from data, not verbatim copying. The case highlights unresolved legal ambiguities around how copyright laws apply to the way modern AI ingests and processes training data. As AI capabilities grow, authors aim to ensure their creative works receive proper compensation if exploited commercially by AI companies. The lawsuit outcome could set important precedents impacting the entire AI industry.

AI Recipe Generators Spark Copyright Concerns

The rise of AI systems that can generate recipes is prompting concerns over potential copyright violations. When trained on existing recipe databases, the AI models may be copying protected literary expressions rather than just learning general cooking knowledge. Food bloggers and publishers worry their original recipe wording and creative instructions could be reproduced without permission by AI recipe generators like ChatGPT. Copyright laws weren’t designed for such models that ingest and output human-authored text. While AI companies argue no direct copying occurs, creators want to protect their intellectual property from being exploited commercially. As AI cooking assistants grow popular, clearer legal guidelines are needed around what constitutes fair use versus infringement of recipe copyrights. Finding the right balance is crucial for encouraging both culinary AI innovation and creative food writing.

Four New Ways AI Is Changing Fashion

AI is rapidly transforming the fashion industry in novel ways. AI can generate original clothing designs by analyzing trends and past styles. It enables virtual try-on experiences by rendering photorealistic garment simulations on customer avatars. AI also optimizes supply chains through demand forecasting and automated warehouse operations. Moreover, AI chatbots and voice assistants are enhancing customer service and personalized shopping. While presenting opportunities for innovation and efficiency gains, AI adoption also raises concerns about job displacement, data privacy, and potential bias propagation. As capabilities advance, finding the right balance between leveraging AI’s benefits and upholding ethical standards will be crucial for fashion’s digital future.

AI Could Recreate All Music as Taylor Swift Covers

Recent advances in AI music generation raise a provocative hypothetical: An AI system could potentially recreate all recorded music history, but as covers performed in the voice of a single artist like Taylor Swift. While a novel idea, experts caution the technical barriers are immense to capture the full nuance and artistry of different musical genres and instruments using current AI capabilities. Ethical objections also exist around potential violations of artist rights and creative integrity. However, the premise highlights AI’s accelerating ability to mimic unique musical styles with startling accuracy. As the technology progresses, clear governance will be needed to strike a balance between enabling innovative AI music tools while protecting intellectual property and allowing organic human creativity to thrive.

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