SCRTechnology critic Evgeny Morozov, writing in Boston Review, argues for a fundamental reimagining of artificial intelligence that prioritizes human creativity and democratic values over pure efficiency. The article explores how AI development has been historically shaped by Cold War imperatives and corporate interests, resulting in systems that primarily serve bureaucratic and market-driven goals rather than …
OpenAI’s ChatGPT has marked its second anniversary since its launch in November 2022, sparking unprecedented growth in artificial intelligence development. According to Gary Grossman, EVP of technology practice at Edelman, the AI chatbot’s release led to a dramatic surge in AI startups, with current estimates suggesting around 70,000 AI companies worldwide – double the number …
Technology journalist Om Malik argues that traditional web browsers may need fundamental changes to remain relevant in an era of artificial intelligence and augmented reality. In an article published on Crazy Stupid Tech, Malik explains how his experience with Apple’s Vision Pro headset revealed the limitations of conventional browsers in immersive environments. The article details …
A recent iOS update has sparked debate about Apple’s artificial intelligence features and their privacy implications. Security journalist Spencer Ackerman, known for his work on the NSA documents with The Guardian, raised concerns about default settings in iOS 18.1 and Apple Intelligence’s data handling practices. While Ackerman worried about data being uploaded to cloud-based AI …
Two UC Berkeley doctoral students have created an influential AI evaluation platform that has become the industry’s go-to resource for comparing chatbot performance. According to Miles Kruppa’s report in The Wall Street Journal, Anastasios Angelopoulos and Wei-Lin Chiang developed Chatbot Arena as a graduate project in April 2023, which now ranks over 170 AI models …
Japanese researchers made fundamental contributions to artificial neural networks that helped establish modern AI, yet their work has been largely overlooked in Western narratives. According to an article by Hansun Hsiung published by The Conversation, scientists like Shun’ichi Amari and Kunihiko Fukushima developed crucial early innovations in machine learning during the 1960s and 70s. Fukushima …
Software engineer Ashish Pawar warns in VentureBeat about the dangers of over-relying on generative AI for research and development activities. While AI can enhance productivity, Pawar argues it lacks the human creativity and vision necessary for breakthrough innovations, potentially leading to homogenized products across industries. The article outlines several key concerns, including AI’s limitation to …
Apple executives have detailed the company’s strategic approach to artificial intelligence development, revealing years of behind-the-scenes preparation for its Apple Intelligence initiative. In interviews with WIRED’s Steven Levy, senior executives including Craig Federighi and John Giannandrea explained that Apple has been incorporating AI technologies into its products since 2015. The company emphasizes that rather than …
A comprehensive analysis reveals that artificial intelligence-assisted coding tools, while boosting developer productivity, are not necessarily leading to better software quality. Software engineer Addy Osmani writes that AI tools can help developers achieve about 70% of a project quickly but struggle with the crucial final 30% that makes software production-ready. The report identifies that experienced …
Few-Shot Learning refers to a method in artificial intelligence where an AI model can learn new tasks from just a few examples. Unlike traditional machine learning, which often requires thousands of training samples, Few-Shot Learning can work with just a handful of examples – sometimes as few as two or three. It can be compared …