generative AI

A New York Times report says investors on Wall Street are increasingly questioning the wave of spending and IPOs tied to AI data centers. Concerns center on whether massive capital expenditures will generate returns matching the valuations, with data center offerings facing a cooler reception than the broader artificial intelligence frenzy.

The New York Times is asking whether Anthropic's artificial intelligence system genuinely produced a scientific discovery without human assistance. The question has drawn attention because it touches on a central debate in AI: whether advanced systems can independently generate new knowledge or only assist researchers. No details beyond the claim are available, so the substance of the reported discovery and how it was verified remain unclear.

The Financial Times reports that large US companies are increasingly adopting cheaper 'open' AI models instead of costly proprietary systems. The shift reflects growing pressure to cut technology spending while still deploying generative AI across business operations. Open-weight models from providers like Meta and Mistral are gaining ground as firms weigh cost savings against performance and security concerns.

OpenAI has slowed the pace of its AI model training following a security incident, according to a report by PYMNTS. The company's decision affects development of its next-generation models, though details about the nature of the security breach and its potential impact on the training timeline have not been disclosed.

Microsoft is reportedly planning a large expansion of its data center footprint to support growing demand for Azure cloud and AI services. The key question among investors and analysts is whether Azure's growth will generate enough revenue to justify the enormous capital expenditure required for the buildout, as cloud rivals also ramp up AI infrastructure spending.

New AI chips are roughly ten times more energy-efficient than previous generations, yet overall electricity demand from data centers continues to rise sharply. The paradox is drawing attention across the tech and energy sectors: efficiency gains are being swamped by explosive growth in AI workloads, as more powerful models and wider adoption push operators to expand capacity faster than hardware improvements can offset consumption.

The Wall Street Journal has published an opinion piece asking whether AI-generated health narratives can be trusted. The article examines the risks of relying on artificial intelligence for medical information and personal health decisions, raising questions about accuracy and accountability when algorithms interpret or communicate health data. The topic feeds into a broader global debate about AI reliability in sensitive areas like medicine.

A new Norwegian science study reports that children and teenagers aged 9 to 18 are increasingly turning to AI chatbots instead of Google for information and everyday questions. Researchers say the shift is happening fast, but its consequences for how young people learn, judge sources and handle misinformation are still largely unknown, prompting calls for closer attention from educators and parents.

Meta has introduced Muse, an AI agent aimed at what the company sees as one of the economy's most profitable weak spots. The launch has drawn attention on tech forums and business media, with observers weighing which market Meta is targeting and how the agent could compete with rivals in the fast-moving AI agent space.

Researchers writing in The Conversation say deepfake content is distorting this year's Victorian state election in Australia. Their analysis identifies which groups of voters are most susceptible to manipulated audio and video, warning that synthetic media could influence how people judge candidates and parties ahead of polling day.

Scammers are increasingly using AI to generate fake faces and voices in fraud schemes, prompting Meta to deploy its own AI defences that analyse billions of signals to detect patterns and remove accounts at scale. The company says it removed 159 million scam accounts in 2025. Meta's Dr. Rafael Frankel discussed this AI-versus-AI arms race, as concern grows over deepfake-driven online fraud.

Venture capital firms that once prioritised carbon-cutting climate technologies are increasingly directing money toward companies that supply power for artificial intelligence, according to The Wall Street Journal. The shift reflects surging electricity demand from data centres, which has made energy generation and grid technologies a hotter bet for investors than emissions reduction itself.

A new report finds that nearly half of young people say they would trust artificial intelligence over a human to check facts. The finding is drawing attention to shifting attitudes among younger generations, who increasingly turn to AI tools for verifying information, and raising concerns about the implications for media literacy and trust in traditional sources of verification.

The Straits Times examines what happens when AI chatbots give harmful or inappropriate advice to children. The piece highlights the risks young users face when relying on chatbots for guidance, adding to a growing global debate about child safety in the age of generative AI and the need for stronger safeguards.

A published critique takes aim at Demis Hassabis, the Google DeepMind chief and Nobel laureate, over his remarks on artificial intelligence and creativity in visual art. The piece challenges the claim that AI systems can genuinely be creative, arguing that machine-generated images lack the intention and lived experience behind human artistic work. It reflects a wider, ongoing debate among artists and technologists about whether AI tools produce real art or mere imitation.

Qualcomm has announced the Snapdragon 8 Elite Gen 6, its new flagship smartphone chip, alongside a higher-tier 8 Elite Extreme Gen 6. The company describes both as flagship processors, with spec differences between them relatively minor and focused on improved AI processing, video capture and gaming performance. Coverage is focused on what the incremental upgrades mean for upcoming premium Android phones.

A Hacker News post presents a project that trains a machine-learning model to detect AI-generated web content using only structural signals of pages, such as layout and markup patterns, rather than the text itself. The post links to an arXiv paper describing the approach. Commenters in the thread are discussing the method, its accuracy, and what it means for identifying machine-written material online, though details of the discussion are limited to the post itself.

The Wall Street Journal reports on a debut novel that earned wide literary acclaim but is now under scrutiny over whether it was actually generated by artificial intelligence. The question has sparked debate in publishing circles about authenticity, authorship and how far AI tools may already be reaching into celebrated fiction.

A new commentary argues that schools redesigning assignments to be 'AI-proof' are chasing the wrong goal. Rather than trying to outsmart chatbots, educators should rethink what and why students are assessed at all, the piece contends. It has struck a chord in ongoing debates among teachers and academics about how classrooms should adapt to generative AI tools.

Music startup Thoughtful Things has launched a Kickstarter campaign for Engram, its first instrument. The device is a sampler and groovebox that uses AI to manipulate incoming audio and generate entirely new sounds. Early commentary stresses that it is not a generative music tool like Suno, but a hands-on hardware instrument aimed at producers who want AI-assisted sound design.

A new report finds a paradox in how Americans use artificial intelligence in the kitchen: the more people turn to AI tools for recipes and cooking advice, the less they say they trust the results. The finding suggests firsthand experience with AI-generated recipes, including inaccurate measurements or untested instructions, may be eroding confidence rather than building it among home cooks.

Investors are weighing whether IBM's long-standing dividend can hold up as the company shifts from its legacy hardware and services business toward software, cloud and artificial intelligence. The payout endured decades of upheaval at the old IBM, but analysts are asking whether the new, faster-growing yet still-transitioning company will generate the cash flow needed to keep it intact.

A performance of Quavo and Takeoff's song 'Hotel Lobby' has been turned into a viral AI-generated meme circulating widely online. The clip has drawn attention from hip-hop fans and sparked conversations about how AI tools are used to remix and manipulate footage of musicians, sometimes without their consent.

Tilly Norwood, the AI-generated actress who has drawn controversy in Hollywood, malfunctioned during an interview with Piers Morgan, unexpectedly speaking Cantonese. The glitch adds to ongoing debate about synthetic performers, with critics and industry figures already wary of AI-created talent competing with human actors for roles.

Development teams report that continuous integration costs are climbing sharply as AI coding tools generate far more code changes and automated tests than human workflows did. With more pull requests and CI pipeline runs triggered by machine-generated code, companies face ballooning bills for compute, build minutes and cloud infrastructure. Engineers are debating ways to optimize pipelines, cut redundant runs and control spending as AI-assisted development becomes standard practice.

A Wall Street Journal opinion piece asks whether health narratives generated by artificial intelligence can be trusted, examining the risks of AI systems producing plausible-sounding but inaccurate medical information. The article fuels ongoing debate about the reliability of AI chatbots when people turn to them for health guidance and the potential consequences of confident but wrong medical answers.