Meta wins copyright case over AI training

Meta has won a copyright lawsuit brought by a group of authors who accused the company of using their books without permission to train its Llama generative AI.

A US federal judge in San Francisco ruled the AI training was ‘transformative’ enough to qualify as fair use under copyright law.

Judge Vince Chhabria noted, however, that future claims could be more successful. He warned that using copyrighted books to build tools capable of flooding the market with competing works may not always be protected by fair use, especially when such tools generate vast profits.

The case involved pirated copies of books, including Sarah Silverman’s memoir ‘The Bedwetter’ and Junot Diaz’s award-winning novel ‘The Brief Wondrous Life of Oscar Wao’. Meta defended its approach, stating that open-source AI drives innovation and relies on fair use as a key legal principle.

Chhabria clarified that the ruling does not confirm the legality of Meta’s actions, only that the plaintiffs made weak arguments. He suggested that more substantial evidence and legal framing might lead to a different outcome in future cases.

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WhatsApp launches AI feature to sum up all the unread messages

WhatsApp has introduced a new feature using Meta AI to help users manage unread messages more easily. Named ‘Message Summaries’, the tool provides quick overviews of missed messages in individual and group chats, assisting users to catch up without scrolling through long threads.

The summaries are generated using Meta’s Private Processing technology, which operates inside a Trusted Execution Environment. The secure cloud-based system ensures that neither Meta nor WhatsApp — nor anyone else in the conversation — can access your messages or the AI-generated summaries.

According to WhatsApp, Message Summaries are entirely private. No one else in the chat can see the summary created for you. If someone attempts to interfere with the secure system, operations will stop immediately, or the change will be exposed using a built-in transparency check.

Meta has designed the system around three principles: secure data handling during processing and transmission, strict enforcement of protections against tampering, and provable transparency to track any breach attempt.

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Nvidia becomes world’s most valuable company after stock surge

Nvidia shares hit an all-time high on 25 June, rising 4.3 percent to US$154.31. The stock has surged 63 percent since April, adding another US$1.5 trillion to its market value.

With a total market capitalisation of about US$3.77 trillion, Nvidia has overtaken Microsoft to become the world’s most valuable listed company.

Strong earnings and growing AI infrastructure spending by major clients — including Microsoft, Meta, Alphabet and Amazon — have reinforced investor confidence.

Nvidia’s CEO, Jensen Huang, told shareholders that demand remains strong and that the computer industry is still in the early stages of a major AI upgrade cycle.

Despite gaining 15 percent in 2025, following a 170 percent rise in 2024 and a 240 percent surge in 2023, Nvidia still appears reasonably valued. It trades at 31.5 times forward earnings, below its 10-year average and close to the Nasdaq 100 multiple, even though its projected growth rate is higher.

Analyst sentiment remains firmly bullish. Nearly 90 percent of analysts tracked by Bloomberg recommend buying the stock, which trades below their average price target.

Yet, Nvidia is less widely held among institutional investors than peers like Microsoft and Apple, indicating further room for buying as AI momentum continues into 2026.

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AI drives fall in graduate jobs

According to new figures from Indeed, AI adoption across industries has contributed to a steep drop in graduate job listings. The jobs platform reported a one-third fall in advertised roles for recent graduates, the lowest level seen in almost a decade.

Major professional services firms have significantly scaled back their graduate intakes in response to shifting labour demands. KPMG, Deloitte, EY and PwC all reported reductions, with KPMG cutting its graduate cohort by a third.

The UK government has pledged to improve the nation’s AI skills through partnerships to upskill 7.5 million workers. Prime Minister Keir Starmer announced the plan during London Tech Week as part of efforts to prepare for an AI-driven economy.

Concerns over AI replacing human roles were highlighted in a controversial ad campaign by Californian firm Artisan, which sparked complaints to the UK’s Advertising Standards Authority. The campaign’s slogan urged companies to stop hiring humans.

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Microsoft family safety blocks Google Chrome on Windows 11

Windows 11 users have reported that Google Chrome crashes and fails to reopen when Microsoft family safety parental controls are active.

The issue appears to be linked to Chrome’s recent update, version 137.0.7151.68 and does not affect users of Microsoft Edge under the same settings.

Google acknowledged the problem and provided a workaround involving changes to family safety settings, such as unblocking Chrome or adjusting content filters.

Microsoft has not issued a formal statement, but its family safety FAQ confirms that non-Edge browsers are blocked from web filtering.

Users are encouraged to update Google Chrome to version 138.0.7204.50 to address other security concerns recently disclosed by Google.

The update aims to patch vulnerabilities that could let attackers bypass security policies and run malicious code.

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Top 7 AI agents transforming business in 2025

AI agents are no longer a futuristic concept — they’re now embedded in the everyday operations of major companies across sectors.

From customer service to data analysis, AI-powered agents transform workflows by handling tasks like scheduling, reporting, and decision-making with minimal human input.

Unlike simple chatbots, today’s AI agents understand context, follow multi-step instructions, and integrate seamlessly with business tools. Google’s Gemini Agents, IBM’s Watsonx Orchestrate, Microsoft Copilot, and OpenAI’s Operator are some tools that reshape how businesses function.

These systems interpret goals and act on behalf of employees, boosting productivity without needing constant prompts.

Other leading platforms include Amelia, known for its enterprise-grade capabilities in finance and telecom; Claude by Anthropic, focused on safe and transparent reasoning; and North by Cohere, which delivers sector-specific AI for clients like Oracle and SAP.

Many of these tools offer no-code or low-code setups, enabling faster adoption across HR, finance, customer support, and more.

While most agents aren’t entirely autonomous, they’re designed to perform meaningful work and evolve with feedback.

The rise of agentic AI marks a significant shift in workplace automation as businesses move beyond experimentation toward real-world implementation, one workflow at a time.

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AGI moves closer to reshaping society

There was a time when machines that think like humans existed only in science fiction. But AGI now stands on the edge of becoming a reality — and it could reshape our world as profoundly as electricity or the internet once did.

Unlike today’s narrow AI systems, AGI can learn, reason and adapt across domains, handling everything from creative writing to scientific research without being limited to a single task.

Recent breakthroughs in neural architecture, multimodal models, and self-improving algorithms bring AGI closer—systems like GPT-4o and DeepMind’s Gemini now process language, images, audio and video together.

Open-source tools such as AutoGPT show early signs of autonomous reasoning. Memory-enabled AIs and brain-computer interfaces are blurring the line between human and machine thought while companies race to develop systems that can not only learn but learn how to learn.

Though true AGI hasn’t yet arrived, early applications show its potential. AI already assists in generating code, designing products, supporting mental health, and uncovering scientific insights.

AGI could transform industries such as healthcare, finance, education, and defence as development accelerates — not just by automating tasks but also by amplifying human capabilities.

Still, the rise of AGI raises difficult questions.

How can societies ensure safety, fairness, and control over systems that are more intelligent than their creators? Issues like bias, job disruption and data privacy demand urgent attention.

Most importantly, global cooperation and ethical design are essential to ensure AGI benefits humanity rather than becoming a threat.

The challenge is no longer whether AGI is coming but whether we are ready to shape it wisely.

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New ranking shows which AI respects your data

A new report comparing leading AI chatbots on privacy grounds has named Le Chat by Mistral AI as the most respectful of user data.

The study, conducted by data removal service Incogni, assessed nine generative AI services using eleven criteria related to data usage, transparency and user control.

Le Chat emerged as the top performer thanks to limited data collection and clarity in privacy practices, even if it lost some points for complete transparency.

ChatGPT followed in second place, earning praise for providing clear privacy policies and offering users tools to limit data use despite concerns about handling training data. Grok, xAI’s chatbot, took the third position, though its privacy policy was harder to read.

At the other end of the spectrum, Meta AI ranked lowest. Its data collection and sharing practices were flagged as the most invasive, with prompts reportedly shared within its corporate group and with research collaborators.

Microsoft’s Copilot and Google’s Gemini also performed poorly in terms of user control and data transparency.

Incogni’s report found that some services allow users to prevent their input from being used to train models, such as ChatGPT Grok and Le Chat. In contrast, others, including Gemini, Pi AI, DeepSeek and Meta AI, offered no clear way to opt-out.

The report emphasised that simple, well-maintained privacy support pages can significantly improve user trust and understanding.

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Japan plans crypto reclassification and ETF access

Japan’s Financial Services Agency has proposed classifying cryptocurrencies as financial products under the Financial Instruments and Exchange Act.

The change would pave the way for crypto ETFs and apply a flat 20% capital gains tax, replacing the current progressive system, which taxes some gains at rates up to 55%. The proposal is part of the government’s broader ‘New Capitalism’ strategy to boost investment.

Interest in crypto has surged nationwide, with over 12 million active accounts and holdings exceeding 5 trillion yen. The FSA noted that crypto now surpasses traditional products like FX and bonds in popularity among retail investors.

Japanese regulators hope the shift will attract domestic and international institutional investors, following global trends such as spot Bitcoin ETF adoption in the US.

Japan is also moving towards stablecoin adoption. In April, SMBC and Ava Labs began exploring stablecoins pegged to the yen and dollar to settle tokenised assets. Meanwhile, SBI VC Trade secured Japan’s first stablecoin-handling licence, preparing to support USDC issuance.

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Turkey tightens grip on digital assets

Turkey’s Ministry of Treasury and Finance has introduced new regulations to curb illicit activities in the digital asset space. Platforms must now verify more detailed transaction data, including a written explanation for each transfer and proof of fund origin.

The move is expected to improve transparency and allow authorities to detect suspicious activity earlier.

A mandatory waiting period has been introduced for crypto withdrawals. Assets must remain on the platform for 48 hours after being purchased or exchanged, with a 72-hour delay for first-time withdrawals.

Daily and monthly limits of $3,000 and $50,000 have also been placed on stablecoin transfers, though fully compliant platforms may operate with doubled limits.

Authorities clarified that market-making, arbitrage, and liquidity provision transactions would remain unrestricted. However, platforms that fail to comply risk fines, licence suspensions, or complete bans.

These measures form part of a wider framework introduced in March under Capital Markets Law No. 6362, which mandates capital requirements, audits, and user protections. The new rules build on earlier regulations introduced in early 2025 to align with global anti-money laundering standards.

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