China has pledged to rein in excessive competition in AI, signalling Beijing’s desire to avoid wasteful investment while keeping the technology central to its economic strategy.
The National Development and Reform Commission stated that provinces should develop AI in a coordinated manner, leveraging local strengths to prevent duplication and overlap. Officials in China emphasised the importance of orderly flows of talent, capital, and resources.
The move follows President Xi Jinping’s warnings about unchecked local investment. Authorities aim to prevent overcapacity problems, such as those seen in electric vehicles, which have fueled deflationary pressures in other industries.
While global investment in data centres has surged, Beijing is adopting a calibrated approach. The state also vowed stronger national planning and support for private firms, aiming to nurture new domestic leaders in AI.
At the same time, policymakers are pushing to attract private capital into traditional sectors, while considering more central spending on social projects to ease local government debt burdens and stimulate long-term consumption.
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Mark Zuckerberg’s ambitious plan to assemble a dream team of AI researchers at Meta has instead created internal instability.
High-profile recruits poached from rival firms have begun leaving within weeks of joining, citing cultural clashes and frustration with the company’s working style. Their departures have disrupted projects and unsettled long-time executives.
Meta had hoped its aggressive hiring spree would help the company rival OpenAI, Google, and Anthropic in developing advanced AI systems.
Instead of strengthening the company’s position, the strategy has led to delays in projects and uncertainty about whether Meta can deliver on its promises of achieving superintelligence.
The new arrivals were given extensive autonomy, fuelling tensions with existing teams and creating leadership friction. Some staff viewed the hires as destabilising, while others expressed concern about the direction of the AI division.
The resulting turnover has left Meta struggling to maintain momentum in its most critical area of research.
As Meta faces mounting pressure to demonstrate progress in AI, the setbacks highlight the difficulty of retaining elite talent in a fiercely competitive field.
Zuckerberg’s recruitment drive, rather than propelling Meta ahead, risks slowing down the company’s ability to compete at the highest level of AI development.
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A new stethoscope powered by AI could enable doctors to identify three serious heart conditions in just seconds, according to UK researchers.
The device replaces the traditional chest piece with a small sensor that records both electrical signals from the heart and the sound of blood flow, which are then analysed in the cloud by AI trained on large datasets.
The AI tool has shown strong results in trials across more than 200 GP practices, with patients tested using the stethoscope being more than twice as likely to be diagnosed with heart failure within 12 months compared with those assessed through usual care.
It was also 3.45 times more likely to detect atrial fibrillation and almost twice as likely to identify heart valve disease.
Researchers from Imperial College London and Imperial College Healthcare NHS Trust said the technology could help doctors provide treatment at an earlier stage instead of waiting until patients present in hospital with advanced symptoms.
The findings, known as Tricorder, will be presented at the European Society of Cardiology Congress in Madrid.
The project, supported by the National Institute for Health and Care Research, is now preparing for further rollouts in Wales, south London and Sussex. Experts described the innovation as a significant step in updating a medical tool that has remained largely unchanged for over 200 years.
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The FBI has warned that Chinese hackers are exploiting structural weaknesses in global telecom infrastructure, following the Salt Typhoon incident that penetrated US networks on an unprecedented scale. Officials say the Beijing-linked group has compromised data from millions of Americans since 2019.
Unlike previous cyber campaigns focused narrowly on government targets, Salt Typhoon’s intrusions exposed how ordinary mobile users can be swept up in espionage. Call records, internet traffic, and even geolocation data were siphoned from carriers, with the operation spreading to more than 80 countries.
Investigators linked the campaign to three Chinese tech firms supplying products to intelligence agencies and China’s People’s Liberation Army. Experts warn that the attacks demonstrate the fragility of cross-border telecom systems, where a single compromised provider can expose entire networks.
US and allied agencies have urged providers to harden defences with encryption and stricter monitoring. Analysts caution that global telecoms will continue to be fertile ground for state-backed groups without structural reforms.
The revelations have intensified geopolitical tensions, with the FBI describing Salt Typhoon as one of the most reckless and far-reaching espionage operations ever detected.
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A hacker exploited Anthropic’s Claude chatbot to automate one of the most extensive AI-driven cybercrime operations yet recorded, targeting at least 17 companies across multiple sectors, the firm revealed.
According to Anthropic’s report, the attacker used Claude Code to identify vulnerable organisations, generate malicious software, and extract sensitive files, including defence data, financial records, and patients’ medical information.
The chatbot then sorted the stolen material, identified leverage for extortion, calculated realistic bitcoin demands, and even drafted ransom notes and extortion emails on behalf of the hacker.
Victims included a defence contractor, a financial institution, and healthcare providers. Extortion demands reportedly ranged from $75,000 to over $500,000, although it remains unclear how much was actually paid.
Anthropic declined to disclose the companies affected but confirmed new safeguards are in place. The firm warned that AI lowers the barrier to entry for sophisticated cybercrime, making such misuse increasingly likely.
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China’s Salt Typhoon cyberspies have stolen data from millions of Americans through a years-long intrusion into telecommunications networks, according to senior FBI officials. The campaign represents one of the most significant espionage breaches uncovered in the United States.
The Beijing-backed operation began in 2019 and remained hidden until last year. Authorities say at least 80 countries were affected, far beyond the nine American telcos initially identified, with around 200 US organisations compromised.
Targets included Verizon, AT&T, and over 100 current and former administration officials. Officials say the intrusions enabled Chinese operatives to geolocate mobile users, monitor internet traffic, and sometimes record phone calls.
Three Chinese firms, Sichuan Juxinhe, Beijing Huanyu Tianqiong, and Sichuan Zhixin Ruijie, have been tied to Salt Typhoon. US officials say they support China’s security services and military.
The FBI warns that the scale of indiscriminate targeting falls outside traditional espionage norms. Officials stress the need for stronger cybersecurity measures as China, Russia, Iran, and North Korea continue to advance their cyber operations against critical infrastructure and private networks.
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Funding season is restarting in Europe, with investors expecting to add several new unicorns in the coming months. Despite fewer mega-rounds than in 2021, a dozen startups passed the $1 billion mark in the first half of 2025.
AI, biotech, defence technology, and renewable energy are among the sectors attracting major backing. Recent unicorns include Lovable, an AI coding firm from Sweden, UK-based Fuse Energy, and Isar Aerospace from Germany.
London-based Isomorphic Labs, spun out of DeepMind, raised $600 million to enter unicorn territory. In biotech, Verdiva Bio hit unicorn status after a $410 million Series A, while Neko Health reached a $1.8 billion valuation.
AI and automation continue to drive investor appetite. Dublin’s Tines secured a $125 million Series C at a $1.125 billion valuation, and German AI customer service startup Parloa raised $120 million at a $1 billion valuation.
Dual-use drone companies also stood out. Portugal-based Tekever confirmed its unicorn status with plans for a £400 million UK expansion, while Quantum Systems raised €160 million to scale its AI-driven drones globally.
Film-streaming platform Mubi and encryption startup Zama also joined the unicorn club, showing the breadth of sectors gaining traction. With Bristol, Manchester, Munich, and Stockholm among the hotspots, Europe’s tech ecosystem continues to diversify.
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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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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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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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