Is AI distorting our view of the Milky Way’s black hole?

A new AI model has created a fresh image of Sagittarius A*, the supermassive black hole at the centre of our galaxy, suggesting it is spinning close to its maximum speed.

The model was trained on noisy data from the Event Horizon Telescope, a globe-spanning network of radio telescopes, using information once dismissed due to atmospheric interference.

Researchers believe this AI-enhanced image shows the black hole’s rotational axis pointing towards Earth, offering potential insights into how radiation and matter behave near such cosmic giants.

By using previously considered unusable data, scientists hope to improve our understanding of black hole dynamics.

However, not all physicists are confident in the results.

Nobel Prize-winning astrophysicist Reinhard Genzel has voiced concern over the reliability of models built on compromised data, stressing that AI should not be treated as a miracle fix. He warned that the new image might be distorted due to the poor quality of its underlying information.

The researchers plan to test their model against newer and more reliable data to address these concerns. Their goal is to refine the AI further and provide more accurate simulations of black holes in the future.

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UK cyber agency warns AI will accelerate cyber threats by 2027

The UK’s National Cyber Security Centre has warned that integrating AI into national infrastructure creates a broader attack surface, raising concerns about an increased risk of cyber threats.

Its latest report outlines how AI may amplify the capabilities of threat actors, especially when it comes to exploiting known vulnerabilities more rapidly than ever before.

By 2027, AI-enabled tools are expected to shorten the time between vulnerability disclosure and exploitation significantly. The evolution could pose a serious challenge for defenders, particularly within critical systems.

The NCSC notes that the risk of advanced cyber attacks will likely escalate unless organisations can keep pace with so-called ‘frontier AI’.

The centre also predicts a growing ‘digital divide’ between organisations that adapt to AI-driven threats and those left behind. The divide could further endanger the overall cyber resilience of the UK. As a result, decisive action is being urged to close the gap and reduce future risks.

NCSC operations director Paul Chichester said AI is expanding attack surfaces, increasing the volume of threats, and speeding up malicious activity. He emphasised that while these dangers are real, AI can strengthen the UK’s cyber defences.

Organisations are encouraged to adopt robust security practices using resources like the Cyber Assessment Framework, the 10 Steps to Cyber Security, and the new AI Cyber Security Code of Practice.

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China’s robotics industry set to double by 2028, led by drones and humanoid robots

China’s robotics industry is on course to double in size by 2028, with Morgan Stanley projecting market growth from US$47 billion in 2024 to US$108 billion.

With an annual expansion rate of 23 percent, the country is expected to strengthen its leadership in this fast-evolving field. Analysts credit China’s drive for innovation and cost efficiency as key to advancing next-generation robotics.

A cornerstone of the ‘Made in China 2025’ initiative, robotics is central to the nation’s goal of dominating global high-tech industries. Last year, China accounted for 40 percent of the worldwide robotics market and over half of all industrial robot installations.

Recent data shows industrial robot production surged 35.5 percent in May, while service robot output climbed nearly 14 percent.

Morgan Stanley anticipates drones will remain China’s largest robotics segment, set to grow from US$19 billion to US$40 billion by 2028.

Meanwhile, the humanoid robot sector is expected to see an annual growth rate of 63 percent, expanding from US$300 million in 2025 to US$3.4 billion by 2030. By 2050, China could be home to 302 million humanoid robots, making up 30 percent of the global population.

The researchers describe 2025 as a milestone year, marking the start of mass humanoid robot production.

They emphasise that automation is already reshaping China’s manufacturing industry, boosting productivity and quality instead of simply replacing workers and setting the stage for a brighter industrial future.

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Workplace deepfake abuse: What employers must know

Deepfake technology—AI-generated videos, images, and audio—has entered the workplace in alarming ways.

Once difficult to produce, deepfakes are now widely accessible and are being used to harass, impersonate, or intimidate employees. These synthetic media attacks can cause deep psychological harm, damage reputations, and expose employers to serious legal risks.

While US federal law hasn’t yet caught up, new legislation like the Take It Down Act and Florida’s Brooke’s Law require platforms to remove non-consensual deepfake content within 48 hours.

Meanwhile, employers could face claims under existing workplace laws if they fail to act on deepfake harassment. Inaction may lead to lawsuits for creating a hostile environment or for negligent oversight.

Most workplace policies still don’t mention synthetic media and something like this creates blind spots, especially during investigations, where fake images or audio could wrongly influence decisions.

Employers need to shift how they assess evidence and protect both accused and accuser fairly. It’s time to update handbooks, train staff, and build clear response plans that include digital impersonation and deepfake abuse.

By treating deepfakes as a modern form of harassment instead of just a tech issue, organisations can respond faster, protect staff, and maintain trust. Proactive training, updated policies, and legal awareness will be crucial to workplace safety in the age of AI.

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Anubis ransomware threatens permanent data loss

A new ransomware threat known as Anubis is making waves in the cybersecurity world, combining file encryption with aggressive monetisation tactics and a rare file-wiping feature that prevents data recovery.

Victims discover their files renamed with the .anubis extension and are presented with a ransom note warning that stolen data will be leaked unless payment is made.

What sets Anubis apart is its ability to permanently erase file contents using a command that overwrites them with zero-byte shells. Although the filenames remain, the data inside is lost forever, rendering recovery impossible.

Researchers have flagged the destructive feature as highly unusual for ransomware, typically seen in cyberespionage rather than financially motivated attacks.

The malware also attempts to change the victim’s desktop wallpaper to reinforce the impact, although in current samples, the image file was missing. Anubis spreads through phishing emails and uses tactics like command-line scripting and stolen tokens to escalate privileges and evade defences.

It operates as a ransomware-as-a-service model, meaning less-skilled cybercriminals can rent and use it easily.

Security experts urge organisations to treat Anubis as more than a typical ransomware threat. Besides strong backup practices, firms are advised to improve email security, limit user privileges, and train staff to spot phishing attempts.

As attackers look to profit from stolen access and unrecoverable destruction, prevention becomes the only true line of defence.

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Trump unveils gold smartphone and new 5G wireless service

US President Donald Trump and his sons have launched a mobile phone service called Trump Mobile 5G, alongside plans to release a gold-coloured smartphone branded with the Trump name.

The service is being offered through partnerships with all three major US mobile networks, though they are not named directly.

The monthly plan, known as the ’47 Plan’, costs $47.45- referencing Trump’s position as the 45th and 47th president. Customers can join their current Android or iPhone devices, either with a physical SIM or an eSIM.

A new Trump-branded Android device, the T1, will launch in September. Priced at $499, it comes with Android 15, a 6.8-inch screen and biometric features like fingerprint scanning and AI facial recognition.

At a press event in New York, Donald Trump Jr. and Eric Trump introduced the initiative, saying it would combine high-quality service with an ‘America First’ approach.

They emphasised that the company is US-based, including its round-the-clock customer service, which promises real human support instead of automated systems.

While some critics may see the move as political branding, the Trump Organisation framed it as a business venture.

The company has already earned hundreds of millions from Trump-branded consumer goods. As with other mobile providers, the new service will fall under the regulatory oversight of the Federal Communications Commission, led by a Trump-appointed chair.

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ChatGPT and generative AI have polluted the internet — and may have broken themselves

The explosion of generative AI tools like ChatGPT has flooded the internet with low-quality, AI-generated content, making it harder for future models to learn from authentic human knowledge.

As AI continues to train on increasingly polluted data, a loop forms in which AI imitates already machine-made content, leading to a steady drop in originality and usefulness. The worrying trend is referred to as ‘model collapse’.

To illustrate the risk, researchers compare clean pre-AI data to ‘low-background steel’ — a rare kind of steel made before nuclear testing in 1945, which remains vital for specific medical and scientific uses.

Just as modern steel became contaminated by radiation, modern data is being tainted by artificial content. Cambridge researcher Maurice Chiodo notes that pre-2022 data is now seen as ‘safe, fine, clean’, while everything after is considered ‘dirty’.

A key concern is that techniques like retrieval-augmented generation, which allow AI to pull real-time data from the internet, risk spreading even more flawed content. Some research already shows that it leads to more ‘unsafe’ outputs.

If developers rely on such polluted data, scaling models by adding more information becomes far less effective, potentially hitting a wall in progress.

Chiodo argues that future AI development could be severely limited without a clean data reserve. He and his colleagues urge the introduction of clear labelling and tighter controls on AI content.

However, industry resistance to regulation might make meaningful reform difficult, raising doubts about whether the pollution can be reversed.

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Armenia plans major AI hub with NVIDIA and Firebird

Armenia has unveiled plans to develop a $500mn AI supercomputing hub in partnership with US tech leader NVIDIA, AI cloud firm Firebird, and local telecoms group Team.

Announced at the Viva Technology conference in Paris, the initiative marks the largest tech investment ever seen in the South Caucasus.

Due to open in 2026, the facility will house thousands of NVIDIA’s Blackwell GPUs and offer more than 100 megawatts of scalable computing power. Designed to advance AI research, training and entrepreneurship, the hub aims to position Armenia as a leading player in global AI development.

Prime Minister Nikol Pashinyan described the project as the ‘Stargate of Armenia’, underscoring its potential to transform the national tech sector.

Firebird CEO Razmig Hovaghimian said the hub would help develop local talent and attract international attention, while the Afeyan Foundation, led by Noubar Afeyan, is set to come on board as a founding investor.

Instead of limiting its role to funding, the Armenian government will also provide land, tax breaks and simplified regulation to support the project, strengthening its push toward a competitive digital economy.

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Amazon launches AU$ 20 bn investment in Australian solar-powered data centres

Amazon will invest AU$ 20 billion to expand its data centre infrastructure in Australia, using solar and wind power instead of traditional energy sources.

The plan includes power purchase agreements with three utility-scale solar plants developed by European Energy, one of which—Mokoan Solar Park in Victoria—is already operational. The other two projects, Winton North and Bullyard Solar Parks, are expected to lift total solar capacity to 333MW.

The investment supports Australia’s aim to enhance its cloud and AI capabilities. Amazon’s commitment includes purchasing over 170MW of power from these projects, contributing to both data centre growth and the country’s renewable energy transition.

According to the International Energy Agency, electricity demand from data centres is expected to more than double by 2030, driven by AI.

Amazon Web Services CEO Matt Garman said the move positions Australia to benefit from AI’s economic potential. The company, already active in solar projects across New South Wales, Queensland and Victoria, continues to prioritise renewables to decarbonise operations and meet surging energy needs.

Instead of pursuing growth through conventional means, Amazon’s focus on clean energy could set a precedent for other tech giants expanding in the region.

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OpenAI turns to Google Cloud in shift from solo AI race

OpenAI has entered into an unexpected partnership with Google, using Google Cloud to support its growing AI infrastructure needs.

Despite being fierce competitors in AI, the two tech giants recognise that long-term success may require collaboration instead of isolation.

As the demand for high-performance hardware soars, traditional rivals join forces to keep pace. OpenAI, previously backed heavily by Microsoft, now draws from Google’s vast cloud resources, hinting at a changing attitude in the AI race.

Rather than going it alone, firms may benefit more by leveraging each other’s strengths to accelerate development.

Google CEO Sundar Pichai, speaking on a podcast, suggested there is room for multiple winners in the AI sector. He even noted that a major competitor had ‘invited me to a dance’, underscoring a new phase of pragmatic cooperation.

While Google still faces threats to its search dominance from tools like ChatGPT, business incentives may override rivalry.

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