AI copyright case could set legal precedent

A US federal judge has ruled that Ross Intelligence infringed on Thomson Reuters’ copyright by using its legal research content to train an AI platform. The decision marks a significant moment in the ongoing debate over AI and intellectual property, as over 39 similar lawsuits progress through US courts.

Ross had argued that its use of Reuters’ Westlaw headnotes, summaries of legal decisions, was transformative, meaning it repurposed the material for a different function. However, the judge rejected this defence, ruling that Ross merely repackaged the content without adding significant new value. The company’s commercial intent also played a role in the ruling, as its AI system directly competed with Reuters’ legal research services.

The ruling could impact future AI copyright cases, particularly those involving generative AI models trained on publicly available content. While some believe it strengthens the case for content creators, others argue its scope is limited. Legal experts caution that further court decisions will be needed to define how copyright law applies to AI training in the long term.

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Vision pro to get AI and guest mode upgrade in April

Apple is set to introduce AI-driven features to its Vision Pro headset, including a new spatial content app and an enhanced guest user mode. The update, expected in April, may be available in beta for developers as early as this week, according to sources cited by Bloomberg.

The AI integration, dubbed ‘Apple Intelligence,’ will bring tools such as Writing Tools, Genmojis, and the Image Playground app to the Vision Pro. This move aligns with Apple’s broader push to incorporate AI into its ecosystem, as the company also explores AI partnerships for iPhones in China.

The Vision Pro, which launched in February 2024 with a hefty price tag of $3,499, initially saw strong sales but has since faced slowing demand. By enhancing its software with AI and new content features, Apple hopes to reignite consumer interest and better compete with more affordable alternatives, such as Meta’s Quest headsets.

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AI tools approved for New York Times staff

The New York Times has officially approved the use of AI tools for its editorial and product teams, allowing AI to assist with tasks such as generating social media copy, writing SEO headlines, and coding. As part of this shift, the publication has introduced an internal AI tool called Echo and outlined strict guidelines for AI use in news production.

While AI can support research, suggest edits, and help brainstorm interview questions, staff have been warned not to use it to draft or substantially revise articles, nor to input confidential source information. The paper is also exploring AI-generated voice articles and translations into other languages.

This move comes as The New York Times remains engaged in a lawsuit against OpenAI and Microsoft, accusing them of copyright violations for training generative AI on its content. Despite these legal disputes, the paper has approved AI programs such as GitHub Copilot, Google’s Vertex AI, and OpenAI’s API for select business applications.

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Robotics and AI steal the show at NBA Tech Summit

When the NBA held its first Tech Summit in 2000, few imagined it would become a cornerstone of All-Star weekend. Now, 25 years later, the summit has returned to the Bay Area, where it all began, marking a milestone in the league’s embrace of technology.

What started as a simple conversation about the future has evolved into an exclusive gathering of industry leaders, featuring discussions on AI, robotics, and the media revolution that has reshaped sports. Commissioner Adam Silver shared the stage with advanced Physical AI robots at this year’s event, showcasing how innovation continues transforming the game.

Boston Dynamics’ Spot robot dogs even appeared, launching T-shirts and entertaining the crowd. The summit also featured a high-profile panel on streaming services, with executives from Netflix, Apple, Amazon, and YouTube discussing the ongoing digital shift—a vision first championed by Mark Cuban at the inaugural summit.

Despite initial scepticism, the Tech Summit has become an essential platform where NBA owners, players, and media moguls exchange ideas on the ever-evolving landscape of sports and technology. This year’s speakers included All-Star players Victor Wembanyama and Jalen Brunson, WNBA champion Sabrina Ionescu, and the USA Basketball chairperson, Gen. Martin E. Dempsey.

Legendary broadcaster Bob Costas also sat down for a conversation with Golden State Warriors coach Steve Kerr, adding another layer of insight to the event. As Silver reflected on the summit’s past and future, he admitted that predicting the next 25 years is nearly impossible.

‘We’re featuring AI and robotics this year. Who knew?’ he said. While the Tech Summit continues to evolve, one thing remains certain—it will always be a space to explore the next big thing in basketball and beyond.

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Tiger Brokers embraces AI with DeepSeek integration

Tiger Brokers has integrated DeepSeek’s AI model into its TigerGPT chatbot, marking a significant step in the race to adopt AI in the financial industry. The DeepSeek-R1 model is already being used by over 20 Chinese brokers and fund managers, transforming areas such as market analysis, risk management, and client interaction. The technology, developed at a fraction of the cost of Western AI models, is expected to revolutionise how financial firms operate, with DeepSeek tapping into valuable data to enhance decision-making and trading strategies.

Tiger Brokers, supported by investors like Xiaomi and Jim Rogers, views this AI breakthrough as a game changer. The upgraded TigerGPT, which will initially be available for free in China and Singapore, now offers enhanced logical reasoning capabilities, allowing for more accurate market predictions and investment opportunities. CEO Wu Tianhua described the impact as transformative, helping users understand market shifts and boosting the overall investment experience.

As AI adoption accelerates, financial IT spending in China is forecasted to rise by 24% in the next five years, a trend expected to benefit tech companies like Hundsun Technologies. The integration of DeepSeek’s models is reshaping the financial industry, with firms such as Sinolink Securities and CICC Wealth Management already exploring AI’s potential to improve efficiency, from risk management to investment advisory services.

Despite the promise, the financial industry faces challenges in standardising data for AI models. However, companies are moving quickly to implement AI solutions, eager to unlock the full potential of their data and enhance their internal operations, marketing, and investing strategies.

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OpenAI weighs governance changes to block takeover

OpenAI is considering granting special voting rights to its non-profit board as part of new governance measures aimed at protecting the power of its directors amid a potential takeover bid from Elon Musk. The company’s CEO Sam Altman and board members are reportedly evaluating the move as OpenAI transitions to a for-profit structure. This would allow the non-profit board to retain control over key decisions, potentially blocking hostile takeovers, including Musk’s recent $97.4 billion acquisition offer.

The proposal comes after Musk’s consortium attempted to acquire OpenAI, with the company rejecting the offer, stating that it is not for sale and dismissing future bids. Musk’s bid appears to be driven by concerns over OpenAI’s shift toward profitability, as the company seeks to secure more funding to remain competitive in the AI sector. The special voting rights would give the non-profit board the ability to overrule major investors such as Microsoft and SoftBank, ensuring that OpenAI’s leadership retains influence over key decisions.

This move reflects OpenAI’s efforts to maintain control over its future direction while fending off external pressures from investors and potential acquirers. No final decision has been made yet, but the proposal is seen as a key strategy to safeguard the company’s independence as it navigates the evolving AI landscape.

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Taiwanese companies eye expansion in Texas

Taiwanese electronics companies are preparing to increase investments in Texas, with major announcements expected in May, coinciding with President Donald Trump’s first 100 days in office. Richard Lee, head of the Taiwan Electrical and Electronic Manufacturers’ Association, revealed that several large Taiwanese companies, particularly those in the AI server industry, are looking to expand their operations in Texas. This follows proactive efforts by Texas’ Republican-led government to attract Taiwanese investment.

The move comes as Trump has criticised Taiwan for its semiconductor business and threatened tariffs on trade partners with significant trade deficits, potentially targeting Taiwan. Last week, Taiwan’s President Lai Ching-te pledged to invest more in the US, adding to the momentum. Companies like Foxconn, Compal, and Inventec, which already have operations in Texas, are expected to announce further expansions, particularly to accommodate the growing demand for AI-related technologies.

Foxconn, which manufactures products for major tech companies like Apple and Nvidia, has already made a $33 million investment in land and factory buildings in Texas. With the demand for AI servers rising, Taiwanese manufacturers are eyeing Texas as a strategic location to meet the growing market needs. However, neither Foxconn nor Compal has yet provided specific details on their plans.

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France’s ANSSI and international partners advocate risk-based approach for secure AI systems

The French National Cybersecurity Agency (ANSSI) has released new guidance on securing AI systems, emphasising a risk-based approach to AI deployment. Several international partners, including Canada, Singapore, Germany, Italy, Norway, the United Kingdom, Estonia and others, have co-signed the document.

The publication highlights the growing integration of AI across sectors and the need for organisations to assess and mitigate associated risks, particularly as they adopt large language models (LLMs).

ANSSI outlines key security challenges specific to AI, including vulnerabilities in data integrity, supply chain risks, and the potential for AI systems to be exploited as attack vectors. The report identifies major risks such as:

  • Compromises in AI hosting and management infrastructure
  • Supply chain attacks targeting AI components
  • Interconnections between AI and IT systems increasing attack surfaces
  • Long-term loss of control over AI-driven processes
  • Malfunctions affecting AI system reliability

To address these challenges, the document advocates for a structured approach to AI security, recommending that organisations:

  • Align AI system autonomy with risk assessments and operational criticality
  • Map AI supply chains and monitor interconnections with IT infrastructure
  • Implement continuous monitoring and maintenance of AI systems
  • Anticipate regulatory and technological developments impacting AI security
  • Strengthen training and awareness on AI-related risks

The publication also advises against using AI for automating critical actions without safeguards, urging organisations to conduct dedicated risk analyses and assess security measures at every stage of the AI system lifecycle.

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Singapore unveils new AI governance initiatives to strengthen global safety standards

The Singapore government introduced three new AI governance initiatives to promote safety and global best practices. The initiatives include the Global AI Assurance Pilot, which focuses on testing generative AI applications; a joint testing report with Japan to enhance AI safety across different linguistic environments; and the publication of the Singapore AI Safety Red Teaming Challenge evaluation report, aimed at addressing AI performance across languages and cultures.

The announcement was made by Josephine Teo, Singapore’s Minister for Digital Development and Information, at the AI Action Summit (AIAS) in Paris. During her speech, Minister Teo emphasised Singapore’s commitment to fostering international collaboration on AI safety, noting the importance of understanding public concerns and ensuring AI systems are tested for safety and responsibility. She also highlighted the role of private sector partnerships in shaping AI use cases and risk management strategies.

The new initiatives include practical efforts to ensure AI models, particularly large language models (LLMs), are secure and culturally sensitive. The AI Assurance Pilot, for instance, will bring together global AI assurance vendors and companies deploying real-life GenAI applications to establish future standards for AI governance. The joint testing report with Japan aims to improve the safety of LLMs across multiple languages, addressing potential gaps in non-English safeguards. Additionally, the Red Teaming Challenge provided insights into AI performance and cultural bias, with participants testing LLMs for issues such as violent crime and privacy violations.

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Apptronik expands humanoid robot production with new investment

AI robotics company Apptronik has raised $350 million in a funding round led by B Capital and Capital Factory, with participation from Google. The Texas-based firm is focused on scaling production of Apollo, its humanoid robot designed to perform warehouse and manufacturing tasks such as moving packages and handling logistics.

Apptronik is competing with major players like Tesla and Figure AI in the rapidly advancing field of humanoid robotics, where artificial intelligence is driving new breakthroughs. CEO Jeff Cardenas compared this moment in robotics to the rise of large language models in 2023, predicting that 2025 will see significant developments in automation.

The company plans to expand Apollo’s capabilities into other industries, including elder care and healthcare. It has also partnered with Google DeepMind’s robotics team and secured commercial agreements with Mercedes-Benz and GXO Logistics, positioning itself as a key player in the evolving robotics landscape.

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