AI’s overuse of the em dash could be your biggest giveaway

AI-generated writing may be giving itself away, and the em dash is its most flamboyant tell. Long beloved by grammar nerds for its versatility, the em dash has become AI’s go-to flourish, but not everyone is impressed.

Pacing, pauses, and a suspicious number of em dashes are often a sign that a machine had its hand in the prose. Even simple requests for editing can leave users with sentences reworked into what feels like an AI-powered monologue.

Though tools like ChatGPT or Gemini can be powerful assistants, using them blindly can dull the human spark. Overuse of certain AI quirks, like rhetorical questions, generic phrases or overstyled punctuation, can make even an honest email feel like corporate poetry.

Writers are being advised to take the reins back. Draft the first version by hand, let the AI refine it, then strip out anything that feels artificial, especially the dashes. Keeping your natural voice intact may be the best way to make sure your readers are connecting with you, not just the machine behind the curtain.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Bluesky shuts down in Mississippi over new age law

Bluesky, a decentralised social media platform, has ceased operations in Mississippi due to a new state law requiring strict age verification.

The company said compliance would require tracking users, identifying children, and collecting sensitive personal information. For a small team like Bluesky’s, the burden of such infrastructure, alongside privacy concerns, made continued service unfeasible.

The law mandates age checks not just for explicit content, but for access to general social media. Bluesky highlighted that even the UK Online Safety Act does not require platforms to track which users are children.

US Mississippi law has sparked debate over whether efforts to protect minors are inadvertently undermining online privacy and free speech. Bluesky warned that such legislation may stifle innovation and entrench dominance by larger tech firms.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Musicians report surge in AI fakes appearing on Spotify and iTunes

Folk singer Emily Portman has become the latest artist targeted by fraudsters releasing AI-generated music in her name. Fans alerted her to a fake album called Orca appearing on Spotify and iTunes, which she said sounded uncannily like her style but was created without her consent.

Portman has filed copyright complaints, but says the platforms were slow to act, and she has yet to regain control of her Spotify profile. Other artists, including Josh Kaufman, Jeff Tweedy, Father John Misty, Sam Beam, Teddy Thompson, and Jakob Dylan, have faced similar cases in recent weeks.

Many of the fake releases appear to originate from the same source, using similar AI artwork and citing record labels with Indonesian names. The tracks are often credited to the same songwriter, Zyan Maliq Mahardika, whose name also appears on imitations of artists in other genres.

Industry analysts say streaming platforms and distributors are struggling to keep pace with AI-driven fraud. Tatiana Cirisano of Midia Research noted that fraudsters exploit passive listeners to generate streaming revenue, while services themselves are turning to AI and machine learning to detect impostors.

Observers warn the issue is likely to worsen before it improves, drawing comparisons to the early days of online piracy. Artists and rights holders may face further challenges as law enforcement attempts to catch up with the evolving abuse of AI.

Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!

Seemingly conscious AI may cause psychological problems and AI psychosis

Microsoft’s AI chief and DeepMind co-founder, Mustafa Suleyman, has warned that society is unprepared for AI systems that convincingly mimic human consciousness. He warned that ‘seemingly conscious’ AI could make the public treat machines as sentient.

Suleyman highlighted potential risks including demands for AI rights, welfare, and even AI citizenship. Since the launch of ChatGPT in 2022, AI developers have increasingly designed systems to act ‘more human’.

Experts caution that such technology could intensify mental health problems and distort perceptions of reality. The phenomenon known as AI Psychosis sees users forming intense emotional attachments or believing AI to be conscious or divine.

Suleyman called for clear boundaries in AI development, emphasising that these systems should be tools for people rather than digital persons. He urged careful management of human-AI interaction without calling for a halt to innovation.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot

Global tech competition intensifies as the UK outlines a £1 trillion digital blueprint

The United Kingdom has unveiled a strategy to grow its digital economy to £1 trillion by harnessing AI, quantum computing, and cybersecurity. The plan emphasises public-private partnerships, training, and international collaboration to tackle skills shortages and infrastructure gaps.

The initiative builds on the UK tech sector’s £1.2 trillion valuation, with regional hubs in cities such as Bristol and Manchester fuelling expansion in emerging technologies. Experts, however, warn that outdated systems and talent deficits could stall progress unless workforce development accelerates.

AI is central to the plan, with applications spanning healthcare and finance. Quantum computing also features, with investments in research and cybersecurity aimed at strengthening resilience against supply disruptions and future threats.

The government highlights sustainability as a priority, promoting renewable energy and circular economies to ensure digital growth aligns with environmental goals. Regional investment in blockchain, agri-tech, and micro-factories is expected to create jobs and diversify innovation-driven growth.

By pursuing these initiatives, the UK aims to establish itself as a leading global tech player alongside the US and China. Ethical frameworks and adaptive strategies will be key to maintaining public trust and competitiveness.

Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!

Australia weighs cyber militia to counter rising digital threats

Cyberattacks are intensifying worldwide, with Australia now ranked fourth globally for threats against operational technology and industrial sectors. Rising AI-powered incursions have exposed serious vulnerabilities in the country’s national defence and critical infrastructure.

The 2023–2030 Cyber Security Strategy designed by the Government of Australia aims to strengthen resilience through six ‘cyber shields’, including legislation and intelligence sharing. But a skills shortage leaves organisations vulnerable as ransomware attacks on mining and manufacturing continue to rise.

One proposal gaining traction is the creation of a volunteer ‘cyber militia’. Inspired by the cyber defence unit in Estonia, this network would mobilise unconventional talent, retirees, hobbyist hackers, and students, to bolster monitoring, threat hunting, and incident response.

Supporters argue that such a force could fill gaps left by formal recruitment, particularly in smaller firms and rural networks. Critics, however, warn of vetting risks, insider threats, and the need for new legal frameworks to govern liability and training.

Pilot schemes in high-risk sectors, such as energy and finance, have been proposed, with public-private funding viewed as crucial. Advocates argue that a cyber militia could democratise security and foster collective responsibility, aligning with the country’s long-term cybersecurity strategy.

Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!

Mount Fuji eruption simulated in an AI video for Tokyo

Residents of Tokyo have been shown a stark warning of what could happen if Mount Fuji erupts.

The metropolitan government released a three-minute AI-generated video depicting the capital buried in volcanic ash to raise awareness and urge preparation.

The simulation shows thick clouds of ash descending on Shibuya and other districts about one to two hours after an eruption, with up to 10 centimetres expected to accumulate. Unlike snow, volcanic ash does not melt away but instead hardens, damages powerlines, and disrupts communications once wet.

The video also highlights major risks to transport. Ash on train tracks, runways, and roads would halt trains, ground planes, and make driving perilous.

Two-wheel vehicles could become unusable under even modest ashfall. Power outages and shortages of food and supplies are expected as shops run empty, echoing the disruption seen after the 2011 earthquake.

Officials advise people to prepare masks, goggles, and at least three days of emergency food. The narrator warns that because no one knows when Mount Fuji might erupt, daily preparedness in Japan is vital to protect health, infrastructure, and communities.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

How to spot AI-generated videos with simple visual checks

Mashable offers a hands-on guide to help users detect AI-generated videos by observing subtle technical cues. Key warning signs include mismatched lip movements and speech, where voices are dubbed over real footage and audio isn’t perfectly aligned with mouth motions.

Users are also advised to look for visual anomalies such as unnatural blurs, distorted shadows or odd lighting effects that seem inconsistent with natural environments. Deepfake videos can show slight flickers around faces or uneven reflections that betray their artificial origin.

Blinking, or the lack thereof, can also be revealing. AI faces often fail to replicate natural blinking patterns, and may display either no blinking or irregular frequency.

Viewers should also note unnatural head or body movements that do not align with speech or emotional expression, such as stiff postures or awkward gestures.

Experts stress these cues are increasingly well-engineered, making deepfakes harder to detect visually. They recommend combining observation with source verification, such as tracing the video back to reputable outlets or conducting reverse image searches for robust protection.

Ultimately, better detection tools and digital media literacy are essential to maintaining trust in online content.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Celebrity Instagram hack fuels Solana meme coin scam

The Instagram accounts of Adele, Future, Tyla, and Michael Jackson were hacked late Thursday to promote an unauthorised meme coin. Posts showed an AI image of the Future with a ‘FREEBANDZ’ coin, falsely suggesting ties to the rapper.

The token, launched on the Solana platform Pump.fun, surged briefly to nearly $900,000 in market value before collapsing by 98% after its creator dumped 700 million tokens. The scheme netted more than $49,000 in Solana for the perpetrator, suspected of being behind the account hijackings.

None of the affected celebrities has issued a statement, while Future’s Instagram account remains deactivated. The hack continues a trend of using celebrity accounts for crypto pump-and-dump schemes. Previous cases involved the UFC, Barack Obama, and Elon Musk.

Such scams are becoming increasingly common, with attackers exploiting the visibility of major social media accounts to drive short-lived token gains before leaving investors with losses.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot

Hong Kong deepfake scandal exposes gaps in privacy law

The discovery of hundreds of non-consensual deepfake images on a student’s laptop at the University of Hong Kong has reignited debate about privacy, technology, and accountability. The scandal echoes the 2008 Edison Chen photo leak, which exposed gaps in law and gender double standards.

Unlike stolen private images, today’s fabrications are AI-generated composites that can tarnish reputations with a single photo scraped from social media. The dismissal that such content is ‘not real’ fails to address the damage caused by its existence.

The legal system of Hong Kong struggles to keep pace with this shift. Its privacy ordinance, drafted in the 1990s, was not designed for machine-learning fabrications, while traditional harassment and defamation laws predate the advent of AI. Victims risk harm before distribution is even proven.

The city’s privacy watchdog has launched a criminal investigation, but questions remain over whether creation or possession of deepfakes is covered by existing statutes. Critics warn that overreach could suppress legitimate uses, yet inaction leaves space for abuse.

Observers argue that just as the snapshot camera spurred the development of modern privacy law, deepfakes must drive a new legal boundary to safeguard dignity. Without reform, victims may continue facing harm without recourse.

Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!