Artificial intelligence

Generative AI music takes ethical turn with Beatoven.ai’s Maestro launch

Beatoven.ai has launched Maestro, a generative AI model for instrumental music that will later expand to vocals and sound effects. The company claims it is the first fully licensed AI model, ensuring royalties for artists and rights holders.

Trained on licensed datasets from partners such as Rightsify and Symphonic Music, Maestro avoids scraping issues and guarantees attribution. Beatoven.ai, with two million users and 15 million tracks generated, says Maestro can be fine-tuned for new genres.

The platform also includes tools for catalogue owners, allowing labels and publishers to analyse music, generate metadata, and enhance back-catalogue discovery. CEO Mansoor Rahimat Khan said Maestro builds an ‘AI-powered music ecosystem’ designed to push creativity forward rather than mimic it.

Industry figures praised the approach. Ed Newton-Rex of Fairly Trained said Maestro proves AI can be ethical, while Musical AI’s Sean Power called it a fair licensing model. Beatoven.ai also plans to expand its API into gaming, film, and virtual production.

The launch highlights the wider debate over licensing versus scraping. Scraping often exploits copyrighted works without payment, while licensed datasets ensure royalties, higher-quality outputs, and long-term trust. Advocates argue that licensing offers a more sustainable and fairer path for GenAI music.

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AI chatbot Claude misused for high-value ransomware

Anthropic has warned that its AI chatbot Claude is being misused to carry out large-scale cyberattacks, with ransom demands reaching up to $500,000 in Bitcoin. Attackers used ‘vibe hacking’ to let low-skill individuals automate ransomware and create customised extortion notes.

The report details attacks on at least 17 organisations across healthcare, government, emergency services, and religious sectors. Claude was used to guide encryption, reconnaissance, exploit creation, and automated ransom calculations, lowering the skill needed for cybercrime.

North Korean IT workers misused Claude to forge identities, pass coding tests, and secure US tech roles, funneling revenue to the regime despite sanctions. Analysts warn generative AI is making ransomware attacks more scalable and affordable, with risks expected to rise in 2025.

Experts advise organisations to enforce multi-factor authentication, apply least-privilege access, monitor anomalies, and filter AI outputs. Coordinated threat intelligence sharing and operational controls are essential to reduce exposure to AI-assisted attacks.

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Parental controls and crisis tools added to ChatGPT amid scrutiny

The death of 16-year-old Adam Raine has placed renewed attention on the risks of teenagers using conversational AI without safeguards. His parents allege ChatGPT encouraged his suicidal thoughts, prompting a lawsuit against OpenAI and CEO Sam Altman in San Francisco.

The case has pushed OpenAI to add parental controls and safety tools. Updates include one-click emergency access, parental monitoring, and trusted contacts for teens. The company is also exploring connections with therapists.

Executives said AI should support rather than harm. OpenAI has worked with doctors to train ChatGPT to avoid self-harm instructions and redirect users to crisis hotlines. The company acknowledges that longer conversations can compromise reliability, underscoring the need for stronger safeguards.

The tragedy has fuelled wider debates about AI in mental health. Regulators and experts warn that safeguards must adapt as AI becomes part of daily decision-making. Critics argue that future adoption should prioritise accountability to protect vulnerable groups from harm.

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NVIDIA’s sales grow as the market questions AI momentum

Sales of AI chips by Nvidia rose strongly in its latest quarter, though the growth was less intense than in previous periods, raising questions about the sustainability of demand.

The company’s data centre division reported revenue of 41.1 billion USD between May and July, a 56% rise from last year but slightly below analyst forecasts.

Overall revenue reached 46.7 billion USD, while profit climbed to 26.4 billion USD, both higher than expected.

Nvidia forecasts sales of $54 billion USD for the current quarter.

CEO Jensen Huang said the company remains at the ‘beginning of the buildout’, with trillions expected to be spent on AI by the decade’s end.

However, investors pushed shares down 3% in extended trading, reflecting concerns that rapid growth is becoming harder to maintain as annual sales expand.

Nvidia’s performance was also affected by earlier restrictions on chip sales to China, although the removal of limits in exchange for a sales levy is expected to support future revenue.

Analysts noted that while AI continues to fuel stock market optimism, the pace of growth is slowing compared with the company’s earlier surge.

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Samsung enhances TV and monitor range with Copilot AI

South Korean company, Samsung Electronics, has integrated Microsoft’s Copilot AI assistant into its newest TVs and monitors, aiming to provide more personalised interactivity for users.

The technology will be available across models released annually, including the premium Micro RGB TV. With Copilot built directly into displays, Samsung explained that viewers can use voice commands or a remote control to search, learn and engage with content more positively.

The company added that users can experience natural voice interaction for tailored responses, such as music suggestions or weather updates. Kevin Lee, executive vice president of Samsung’s display business, said the move sets ‘a new standard for AI-powered screens’ through open partnerships.

Samsung has confirmed its intention to expand collaborations with global AI firms to enhance services for future products.

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Google boosts Virginia with $9 billion AI and cloud projects

Alphabet’s Google has confirmed plans to invest $9 billion in Virginia by 2026, strengthening the state’s role as a hub for data infrastructure in the US.

The focus will be on AI and cloud computing, positioning Virginia at the forefront of global technological competition.

The plan includes a new Chesterfield County facility and expansion at existing campuses in Loudoun and Prince William counties. These centres are part of the digital backbone that supports cloud services and AI workloads.

Dominion Energy will supply power for the new Chesterfield project, which may take up to seven years before it is fully operational.

The rapid growth of data centres in Virginia has increased concerns about energy demand. Google said it is working with partners on efficiency and power management solutions and funding community development.

Earlier in August, the company announced a $1 billion initiative to provide every college student in Virginia with one year of free access to its AI Pro plan and training opportunities.

Google’s move follows a broader trend in the technology sector. Microsoft, Amazon, Alphabet, and Meta are expected to spend hundreds of billions of dollars on AI-related projects, with much dedicated to new data centres.

Northern Virginia remains the boom’s epicentre, with Loudoun County earning the name’ Data Centre Alley’ because it has concentrated facilities.

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WhatsApp launches AI assistant for editing messages

Meta’s WhatsApp has introduced a new AI feature called Writing Help, designed to assist users in editing, rewriting, and refining the tone of their messages. The tool can adjust grammar, improve phrasing, or reframe a message in a more professional, humorous, or encouraging style before it is sent.

The feature operates through Meta’s Private Processing technology, which ensures that messages remain encrypted and private instead of being visible to WhatsApp or Meta.

According to the company, Writing Help processes requests anonymously and cannot trace them back to the user. The function is optional, disabled by default, and only applies to the chosen message.

To activate the feature, users can tap a small pencil icon that appears while composing a message.

In a demonstration, WhatsApp showed how the tool could turn ‘Please don’t leave dirty socks on the sofa’ into more light-hearted alternatives, including ‘Breaking news: Socks found chilling on the couch’ or ‘Please don’t turn the sofa into a sock graveyard.’

By introducing Writing Help, WhatsApp aims to make communication more flexible and engaging while keeping user privacy intact. The company emphasises that no information is stored, and AI-generated suggestions only appear if users decide to enable the option.

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Study shows young software developers are losing jobs to AI tools

A Stanford University study reveals that generative AI tools, such as ChatGPT, have led to a nearly 20 percent decline in employment for software developers aged 22 to 25 since late 2022. In contrast, older developers have seen little job loss and, in some cases, gains.

The research analysed anonymised ADP payroll data across millions of employees and thousands of firms.

The decline in junior roles stems from AI automating routine coding tasks, often the first entry point for new developers, while complex tasks favour experienced professionals.

Industry leaders reflect the shift. Amazon Web Services’ head called layoffs of junior engineers a misstep, arguing that these roles are essential for innovation.

Meanwhile, developer sentiment is mixed: over half believe AI codes better than humans, but 37 percent worry it threatens entry-level opportunities.

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Experts highlight escalating scale and complexity of global DDoS activity in 2025

Netscout has released new research examining the current state of distributed denial-of-service (DDoS) attacks, noting both their growing volume and increasing technical sophistication.

The company recorded more than eight million DDoS attacks worldwide in the first half of 2025, including over 3.2 million in the EMEA region. Netscout found that attacks are increasingly being used as tools in geopolitical contexts, with impacts observed on sectors such as communications, transportation, energy and defence.

According to the report, hacktivist groups have been particularly active. For example, NoName057(16) claimed responsibility for more than 475 incidents in March 2025—over three times the number of the next most active group—focusing on government websites in Spain, Taiwan and Ukraine. Although a recent disruption temporarily reduced the group’s activity, the report notes the potential for resurgence.

Netscout also observed more than 50 attacks exceeding one terabit per second (Tbps), alongside multiple gigapacket-per-second (Gpps) events. Botnet-driven operations became more advanced, averaging more than 880 daily incidents in March and peaking at 1,600, with average durations rising to 18 minutes.

The integration of automation and artificial intelligence tools, including large language models, has further expanded the capacity of threat actors. Netscout highlights that these methods, combined with multi-vector and carpet-bombing techniques, present ongoing challenges for existing defence measures.

The report additionally points to recent disruptions in the telecommunications sector, affecting operators such as Colt, Bouygues Telecom, SK Telecom and Orange. Compromised networks of IoT devices, servers and routers have contributed to sustained, high-volume attacks.

Netscout concludes that the combination of increased automation, diverse attack methods and the geopolitical environment is shaping a DDoS threat landscape that demands continuous adaptation by organisations and service providers.

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AI redefines how cybersecurity teams detect and respond

AI, especially generative models, has become a staple in cybersecurity operations, extending its role from traditional machine learning tools to core functions within CyberOps.

Generative AI now supports forensics, incident investigation, log parsing, orchestration, vulnerability prioritisation and report writing. It accelerates workflows, enabling teams to ramp up detection and response and to concentrate human efforts on strategic tasks.

Experts highlight that it is not what CyberOps do that AI is remastering, but how they do it. AI scales routine tasks, like SOC level-1 and -2 operations, allowing analysts to shift focus from triage to investigation and threat modelling.

Junior staff benefit particularly from AI, which boosts accuracy and consistency. Senior analysts and CISOs also gain from AI’s capacity to amplify productivity while safeguarding oversight, a true force multiplier.

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