Getty Images is currently engaged in a landmark copyright litigation against Stability AI in a London courtroom, marking the first significant trial in the generative AI sector. The case revolves around Stability AI’s AI image creation tool, Stable Diffusion, which has been accused by Getty of “brazen infringement” of its extensive photography collection. The trial, expected to last three weeks, highlights key issues regarding “fair use” in the U.S. and the U.K., as tech companies assert their right to use large datasets for AI training. Getty’s CEO, Craig Peters, stressed the importance of obtaining permission from creators of intellectual property before usage. In contrast, Stability AI maintains that the case is improperly filed in the U.K. because the AI model’s training occurred on U.S. servers. The outcome of this trial could significantly shape the future of copyright law in the rapidly growing AI market.
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Getty Images Sues Stability AI in Groundbreaking Copyright Case – Latest Developments and Insights
DeepMind VP Advocates for Taiwan to Focus on Software Development over LLM Training
Ed Chi, vice president of research at Google DeepMind, visited Taiwan to advise a reevaluation of its AI development strategies. In his public address, he cautioned against the heavy allocation of resources towards developing large AI models. Instead, Chi suggested that Taiwan should focus on leveraging AI to enhance existing industries such as healthcare and manufacturing. He highlighted the importance of creating practical, real-world applications that can benefit various sectors, emphasizing innovation and efficiency. By shifting focus from large-scale AI systems to more targeted, domain-specific applications, Taiwan can better compete globally and optimize its technological advancements. His visit underscores the need for a strategic approach to harnessing AI’s potential without overextending resources.
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Experts Express Concerns Over AI-Powered Content Creation Tools
The rise of “artificial intelligence-generated content” (AIGC) rate reduction services in China has sparked concerns during the graduation season. These services, available on platforms like Taobao, promise to reduce detectable AI-generated content in academic papers, often featuring vague pricing and urging customers to switch to WeChat for transactions. Experts like Luo Xueming describe this as a pseudo-demand driven by universities’ AIGC detection policies, resulting in a burgeoning gray industry involving ghostwriting and content modification. This service, which uses algorithms to adjust AI-generated text, has drawn customer complaints about unprofessional outcomes and difficulty in securing refunds. With an estimated 60-80% of students utilizing AI tools in their theses this year, experts warn that the rapid evolution of AI complicates regulatory efforts. While there are signs of improved thesis quality, issues such as “AI hallucinations” persist, making it crucial to strengthen academic ethics education to curb unethical practices.
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Aussie Suiting Brand Unveils Innovative AI Fashion App
Australian luxury fashion house THDR Group has unveiled Neuono, the world’s first AI-led fashion brand offering personalized menswear and womenswear through a smartphone app. Neuono, leveraging the generative AI engine SenseThread, allows users to create made-to-measure garments without in-person fittings, simply by scanning their bodies. The app generates precise measurements and suggests styles, fabrics, and fits tailored to personal preferences. Co-founder Sean Fagan emphasizes that Neuono addresses fashion’s key issues of poor fit and overproduction, promoting a sustainable approach by designing garments on demand. The AI-powered technology combines 3D body mapping with sophisticated styling algorithms, offering over 70 billion fabric and design combinations for custom clothes. Available now on the App Store and Google Play in Australia, the UK, and the US, Neuono aims to streamline custom clothing creation, with average prices for garments around $400 AUD, varying with design choices.
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WWDC 2025: Apple Transforms AI Strategy with Overhauled OS Designs and Enhanced App Focus
At this year’s Apple Worldwide Developer Conference (WWDC), Apple unveiled a revamped approach to artificial intelligence (AI), focusing on task-oriented applications that utilize on-device models. CEO Tim Cook emphasized empowering developers with new tools, while Senior VP Craig Federighi announced expanded access to Apple Intelligence models for third-party apps. Key features include Live Translation across messaging apps and lyrics translation in Apple Music, showcasing a shift towards practical AI integration.
Additionally, Apple introduced a uniform “Liquid Glass” design language for its software lines—iOS, iPadOS, macOS, watchOS, tvOS, and visionOS—set to release in beta soon. Significant updates to apps include enhanced call screening and fitness routines tailored by AI. Apple aims to leverage its extensive developer base to stay competitive against AI-driven Android devices, avoiding direct replication of features offered by companies like OpenAI and Google, and instead promoting innovation through collaboration.
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Apple Unveils iOS 26: Experience ‘Liquid Glass’ UI, Real-Time Translation, and Enhanced AI Features—Details Inside!
Apple unveiled iOS 26 at WWDC 2025, introducing a significant redesign and enhanced AI features for iPhone 11 and newer models. Key highlights include the new “Liquid Glass” design, which offers translucent, light-reflective icons and a dynamic lock screen that adapts to background images. The update also incorporates Apple Intelligence advancements like real-time translation in Phone and Messages, visual recognition for screen items, smart event suggestions, and AI writing tools.
App updates include a redesigned Phone app with merged features, enhanced Messages with polls and typing indicators, and new Apple Music capabilities like lyrics translation. CarPlay receives a compact call view and Live Activities, while AirPods feature studio-quality recording and remote photo capabilities. iOS 26 will be a free update, with a public beta launching next month. Notably, some AI features will be exclusive to the iPhone 15 Pro and 16 series.
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All the Latest Announcements from Apple: iOS, macOS, and Beyond
At WWDC 2025, Apple unveiled new features for its AI suite, Apple Intelligence, despite its initial underperformance. Key updates include improvements to Genmoji and Image Playground, allowing users to create custom emoji combinations and generate colorful chat backgrounds, respectively. Image Playground now integrates ChatGPT for diverse image styles while maintaining user privacy. Live translation features are being added across Messages and FaceTime, enabling seamless conversation in multiple languages. The AppleVisual Intelligence tool will now scan screens and provide relevant suggestions or responses, leveraging ChatGPT for inquiries. Developers can utilize Apple’s on-device foundational models to enhance their apps with offline capabilities that prioritize user privacy. The upgraded Shortcuts app will support AI-driven actions for various tasks. While Apple continues to innovate, expectations for a revolutionary Siri remain unmet, and struggles with earlier features highlight the challenges ahead in keeping pace with competitors like Google.
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Xiaohongshu Unveils New Open-Source LLM
RedNote, known in China as Xiaohongshu, has launched its first open-source large language model (LLM), featuring 142 billion parameters and a cost-effective mixture-of-experts architecture. Developed by its Humane Intelligence Lab, this model stands out by avoiding synthetic data and demonstrating superior performance in Chinese tasks compared to competitors. As RedNote aims to expand its presence globally, it is also considering a potential initial public offering (IPO) to support its growth initiatives.
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Apple Claims Generative AI Lacks Human-Like Thinking: Research Paper Challenges Reasoning Models – Tom’s Hardware
Apple has released a research paper asserting that generative AI lacks human-like thinking abilities. The study critiques various reasoning models, emphasizing that while these AI systems can generate human-like text, they do not possess true comprehension or reasoning skills. The paper highlights significant limitations in generative AI’s ability to understand context and nuances, suggesting that their output is based on patterns rather than genuine understanding. Apple’s position suggests a cautious approach to AI development, advocating for heightened scrutiny regarding the expectations placed on these technologies. The company underscores the importance of recognizing AI’s capabilities and limitations, urging researchers and developers to focus on creating systems that complement human intelligence rather than replicate it. The findings serve as a reminder that while AI can perform impressive tasks, it fundamentally differs from human cognition.
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Apple Launches AI Tools with Latest Software Update – Tech in Asia
Apple has introduced new AI tools in its latest software update, enhancing user experience across various applications. Key features include improved photo editing capabilities in the Photos app, enabling users to make adjustments with greater ease and precision. The update also brings advanced machine learning functionalities, allowing for smarter Siri responses and more personalized recommendations. Additionally, these AI enhancements aim to streamline tasks, providing users with quicker access to information and services. Apple emphasizes privacy, ensuring that AI processing occurs on-device to safeguard user data. Overall, the update reflects Apple’s commitment to integrating cutting-edge technology while maintaining user trust and security. This move positions Apple to compete more effectively in an increasingly AI-driven landscape.
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