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HUMANS PREFER HUMANS

AI DRIVERS OVERTAKE NASCAR

Plus The First Autonomous Driverless Car Race Is a Dismal Failure

Survey Highlights Consumer Preference for Human Over AI in Customer Service

A new survey indicates most consumers prefer waiting to speak with a human over using AI for customer service, with the ideal wait time around four to five minutes. Despite AI’s efficiency in basic tasks, 81% of respondents would wait to talk to a human, valuing empathy and effective problem-solving. This preference underscores the continued importance of human interaction in customer service despite the rise of AI technologies.

World-First AI Car Race Fails to Impress

The highly anticipated Autonomous Racing League (A2RL) event in Abu Dhabi ended in disappointment when the first-ever race between driverless cars came to a premature halt. Technical issues plagued the event, leading to a spun car and halted AI vehicles, causing many spectators to leave early. Despite the setbacks, experts remain hopeful about future improvements in autonomous racing technology. The event aimed to showcase AI capabilities but highlighted the challenges of translating AI performance into competitive racing.

Apple Faces Major Sales Decline as AI Integration Lags

Apple is anticipated to report its largest quarterly revenue drop in over a year this Thursday, amid sluggish AI rollout and increasing competition in China. The iPhone, comprising about half of Apple’s revenue, is expected to see a 10.4% sales decrease. The tech giant has struggled against rivals like Huawei and is in discussions with OpenAI and Google to enhance iPhones with AI features. This strategy aims to revive interest and boost sales, particularly through the upcoming iPhone 16 series expected in the fall.

Newspaper Giants Sue OpenAI and Microsoft Over AI

Eight newspapers, owned by Alden Global Capital and including prominent titles like The Chicago Tribune and The New York Daily News, have filed a lawsuit against OpenAI and Microsoft. The suit, lodged in the Southern District of New York, alleges copyright infringement for using copyrighted articles to train AI chatbots such as ChatGPT and Microsoft Copilot. The newspapers argue this unauthorized use bypasses subscription paywalls, decreasing their revenue. They seek a jury trial and compensation.

Artists File Copyright Lawsuit Against Google’s AI Image Generator

Artists have taken legal action against Google, alleging copyright infringement by its AI-powered image generator, Imagen. Filed in California, the lawsuit involves creators like Jingna Zhang and Sarah Andersen, who claim their work was included in the LAION-400M dataset used for training Imagen. This dataset comprises 400 million images and captions, which the artists argue were used without proper licensing or compensation.

AI’s Growing Influence in Scientific Publishing

Recent analysis reveals that 1% of scientific papers in 2023 might have involved generative AI, signaling a subtle shift in scientific writing influenced by AI chatbots like ChatGPT. Signs of AI usage include specific phrases and a rise in AI-identified words such as “intricate” and “commendable.” While AI aids in drafting, its factual inaccuracies, or ‘hallucinations’, especially in generating fictitious citations, pose significant risks. Experts caution against over-reliance on AI for scientific content, emphasizing the technology’s current limitations and the potential for introducing errors into research.

Sam’s Club Expands AI-Powered Exit Technology to 20% of Stores

Sam’s Club has implemented an AI-powered system to expedite customer exits at 20% of its locations. This technology, showcased at CES, allows customers who pay via register or the Scan & Go app to exit without receipt checks, cutting exit times by 23%. Unlike Amazon, which scaled back its AI checkout solutions, Sam’s Club plans to extend this technology to all its stores by year-end. The system uses computer vision to verify purchases, continuously learning from transactions to enhance efficiency.

AI Accelerates Skill Renewal in Workforce

A recent IBM survey highlights a drastic shift in the workforce due to AI and automation, predicting that 40% of global workers need reskilling in the next three years. The half-life of skills has decreased from 10 to about 4 years, with AI-related skills needing updates even sooner. Stanford lecturer and Workera CEO, Kian Katanforoosh, emphasizes that continuous learning is essential, not just for AI specialists but for all professional levels to maintain a competitive edge in the rapidly evolving market.

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