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Apple is facing multiple lawsuits from authors, including Grady Hendrix and Jennifer Roberson, who allege the company used pirated books from datasets like Books3 to train its AI models, such as OpenELM and Apple Intelligence. These authors claim Apple infringed on their copyrights by using their works without permission or compensation. This situation mirrors similar legal challenges faced by other major tech companies, including OpenAI, Anthropic, and Meta, concerning the use of copyrighted material for AI training. In a related development, AI company Anthropic is under judicial review for a proposed $1.5 billion settlement with authors over similar allegations concerning its Claude chatbot. The settlement, which would pay authors around $3,000 per book for an estimated 500,000 works, is being scrutinized by a federal judge. Meanwhile, the broader AI landscape sees advancements in efficiency and security, with new light-based chips promising significant power savings for AI tasks and Dell Technologies enhancing cyber resiliency for AI security. The Nasdaq Composite index has reached a record high, largely propelled by AI-related stocks. Educational institutions are also expanding AI offerings, with USC launching a new undergraduate AI degree. In the energy sector, Gastech 2025 will highlight the role of AI in gas and LNG industries, while StarHub and Vectra AI are boosting cybersecurity in Singapore. Stanford Health Care is piloting an AI tool using Anthropic's Claude 3.5 Sonnet model to draft imaging results for primary care providers, showing promise in efficiency and explanation quality.

Key Takeaways

Apple is being sued by authors Grady Hendrix and Jennifer Roberson for allegedly using pirated books from datasets like Books3 to train its AI models, including OpenELM and Apple Intelligence.
These lawsuits against Apple are part of a larger trend of legal challenges targeting tech companies like OpenAI, Anthropic, and Meta for using copyrighted material in AI training.
AI company Anthropic is seeking approval for a $1.5 billion settlement with authors over claims that their books were used to train the Claude chatbot.
A federal judge is reviewing Anthropic's proposed $1.5 billion settlement, which would compensate authors approximately $3,000 per book for an estimated 500,000 works.
New light-based computer chips are being developed that could improve AI power efficiency by 10 to 100 times by using light instead of electricity for computations.
The Nasdaq Composite index has reached a new record high, with AI-related stocks like Broadcom, Lam Research, Palantir Technologies, and Nvidia being significant drivers of this growth.
Dell Technologies is enhancing cyber resiliency for AI security by integrating security, backup, recovery, and AI-driven automation to protect data assets.
USC is launching a new Bachelor of Science in Artificial Intelligence (BSAI) degree program, set to begin in Fall 2026.
Stanford Health Care is testing an AI tool, powered by Anthropic's Claude 3.5 Sonnet model, to draft explanations for imaging and lab results, with positive feedback from primary care providers on efficiency and clarity.
The Gastech 2025 conference will focus on the role of AI in the gas and LNG industries amidst global energy transitions.

Apple sued for using pirated books to train AI

Authors Grady Hendrix and Jennifer Roberson are suing Apple, claiming the company used their books without permission to train its AI models. The lawsuit alleges Apple's web crawler accessed 'shadow libraries' containing pirated books. The authors argue this infringes on their copyright and devalues their work. This case is part of a larger trend of lawsuits against tech companies for using copyrighted material for AI training, including similar cases against OpenAI and Anthropic.

Apple faces lawsuit over AI training data

Authors Grady Hendrix and Jennifer Roberson have filed a lawsuit against Apple, accusing the company of using pirated books from the Books3 dataset to train its AI models, including OpenELM. The lawsuit claims Apple used these copyrighted works without consent or payment. Books3, a collection of over 196,000 pirated books, was previously used by companies like Meta and was taken down in 2023. The authors seek class-action status and compensation for damages.

Apple sued for using copyrighted books in AI training

Authors Grady Hendrix and Jennifer Roberson have sued Apple, alleging the company used their copyrighted books without permission or compensation to train its AI systems, specifically the OpenELM large language model. The lawsuit claims Apple accessed a known collection of pirated books for this purpose. This legal action adds to a growing number of lawsuits against tech firms like Microsoft, OpenAI, and Anthropic for allegedly misusing copyrighted content for AI training. Anthropic recently settled a similar case for $5 million.

Apple sued over AI training using pirated books

Apple is facing a lawsuit from authors Grady Hendrix and Jennifer Roberson, who claim the company used pirated books to train its AI models like OpenELM and Apple Intelligence. The lawsuit, filed in federal court, alleges Apple used the Books3 dataset, containing over 196,000 pirated books, without consent or payment. This dataset was previously used by companies like Meta and was removed in 2023. The authors are seeking class-action status and monetary damages.

Apple faces copyright lawsuit for AI training data

Authors Grady Hendricks and Jennifer Roberson have filed a class-action lawsuit against Apple in California, accusing the company of illegally using copyrighted books to train its AI systems. The suit claims Apple copied protected works without consent or compensation, referencing the use of the OpenELM database. This case is one of several legal challenges against tech companies like Anthropic, Microsoft, Meta, and OpenAI for using copyrighted material in AI training. Warner Bros. has also sued Midjourney over alleged use of its characters.

Apple sued for using pirated books for AI training

Apple is being sued by two authors who allege the company used pirated copies of their books to train its OpenELM AI models. The lawsuit, filed in Northern California, claims Apple used these works without permission, payment, or credit. This action adds to a growing number of lawsuits against AI companies, including Anthropic, which recently settled a similar case for $1.5 billion. Meta and OpenAI also face similar allegations regarding unlicensed training data.

Judge reviews $1.5B Anthropic settlement for AI training

A federal judge is reviewing a proposed $1.5 billion class-action settlement between AI company Anthropic and authors who claim their pirated books were used to train Anthropic's chatbot, Claude. The settlement would pay authors about $3,000 per work for an estimated 500,000 books. Judge William Alsup has raised questions about the settlement details. The case involved authors Andrea Bartz, Charles Graeber, and Kirk Wallace Johnson, who argued Anthropic wrongfully acquired millions of books through pirate websites.

Judge reviews Anthropic's $1.5B settlement over AI training

A federal judge is examining a $1.5 billion settlement between AI company Anthropic and authors who claim their books were used without permission to train the Claude chatbot. The settlement would provide approximately $3,000 for each of the estimated 500,000 books involved. U.S. District Judge William Alsup has requested further discussion on the agreement's details. Authors Andrea Bartz, Charles Graeber, and Kirk Wallace Johnson are representing the broader group of writers and publishers affected by Anthropic's alleged use of pirated materials.

Anthropic settles $1.5B lawsuit over AI training on pirated books

AI company Anthropic has agreed to pay $1.5 billion to settle a class-action lawsuit filed by book authors who accused it of using pirated books to train its Claude chatbot. This settlement is the largest in U.S. copyright history. The lawsuit alleged Anthropic scraped millions of books from unauthorized sources, potentially exposing the company to massive damages. Anthropic will also destroy the disputed datasets used for training. This case highlights tensions between content creators and AI developers over data usage.

AI certification builds trust for sustainable future

The EU AI Act and similar regulations worldwide are shifting focus from rapid deployment to compliance-driven innovation. Certification of AI systems for reliability and explainability is becoming a competitive advantage, earning user confidence and investor trust. Companies that embrace compliance early can gain credibility and market share. High-risk AI systems in sectors like healthcare and transport must undergo conformity assessments before market entry. This approach helps ensure AI adoption is trustworthy and aligned with sustainability goals.

Regulating AI: Risks and approaches discussed

The rapid advancement of AI presents significant risks, including illegal scams, price-fixing collusion, and automated financial fraud. Harvard researchers suggest three paradigms for AI governance: accelerationism, effective altruism, and pluralism. The pluralism approach focuses on complementing human intelligence rather than replacing it, aiming to activate human creativity and integrate the broad population into the economy. Addressing AI risks requires collaboration between innovators and governments to establish necessary guardrails and regulations.

StarHub and Vectra AI boost cybersecurity in Singapore

StarHub has partnered with Vectra AI to offer the Vectra AI Platform to enterprises in Singapore, enhancing cybersecurity capabilities. This collaboration combines Vectra AI's network detection and response (NDR) technology with StarHub's IT expertise. The solution aims to provide smarter and faster threat detection and response to combat increasingly sophisticated cyberattacks. This partnership strengthens businesses' cyber defenses and contributes to the resilience of Singapore's digital ecosystem.

AI tool drafts imaging results for primary care providers

Stanford Health Care is testing an AI tool that drafts explanations for imaging and lab results, receiving positive feedback from primary care providers. Nearly 85% of clinicians found the tool user-friendly and beneficial for efficiency and explanation quality. The tool uses Anthropic's Claude 3.5 Sonnet model to simplify test results into layman's terms for patients. While effective, some barriers remain regarding content accuracy and completeness, requiring further optimization.

USC launches new undergraduate AI degree

The USC Viterbi School of Engineering and the School of Advanced Computing are launching a new Bachelor of Science in Artificial Intelligence (BSAI) degree program. This interdisciplinary course, designed by three academic departments, will begin in Fall 2026. Students can specialize in Computing Foundations and Applications, Computer Engineering, Signal Processing, and Controls, or AI Systems and Operations Engineering. The program aims to provide a strong foundation in AI's mathematical and ethical aspects.

WireBee wins award for AI voice communications

WireBee has won FreightWaves' inaugural AI Excellence in Supply Chain award for its AI Voice Agent, which automates communication tasks in freight brokerage. The AI is specifically trained for logistics nuances, handling tasks like carrier verification and negotiation. It integrates with Transport Management Systems and carrier vetting platforms, offering real-time fraud detection and spoofed caller ID filtering. Clients report significant time savings and improved operational efficiency.

New light-based chip boosts AI power efficiency

Engineers have developed a new computer chip that uses light instead of electricity for AI tasks like image recognition, improving power efficiency by 10 to 100 times. This innovation could reduce the significant electricity demand of AI systems and enable higher performance. The chip uses lasers and microscopic lenses to perform 'convolution' operations, a key AI computation, with less power and faster speeds. This development, published in Advanced Photonics, could be integrated into existing AI chips.

Nasdaq hits record high driven by AI stocks

The Nasdaq Composite index reached a new record high, largely driven by AI-related stocks. Major contributors to the index's rise included Broadcom, Lam Research, Palantir Technologies, and Nvidia. While the Nasdaq saw significant gains, the broader market was mixed, with many stocks in the S&P 500 trading down. The performance indicates a strong resurgence in the 'AI trade' within the stock market.

Dell enhances cyber resiliency for AI security

Dell Technologies is strengthening cyber resiliency by integrating security, backup, recovery, and AI-driven automation to protect data assets. With cyberattacks becoming more sophisticated, Dell's approach treats data protection as a board-level priority. The company is expanding its managed detection and response (MDR) services to monitor backup systems, partnering with CrowdStrike. This strategy aims to reduce attack vectors, speed up threat detection and recovery, and ensure robust data protection for AI training and business continuity.

Gastech 2025 focuses on gas, AI, and LNG

Gastech 2025, a major energy event in Milan, Italy, will focus on gas investment, AI, and LNG amidst global energy changes. The conference features speakers including government ministers and CEOs from major energy companies like Eni, Baker Hughes, Shell, and TotalEnergies. Key sessions will explore challenges in the energy transition, the role of AI in business models, and strategic partnerships for advancing natural gas and hydrogen technologies. The event aims to foster discussion on securing an affordable and sustainable energy future.