generative AI

A Wall Street Journal opinion piece asks whether health narratives generated by artificial intelligence can be trusted. The article weighs the growing use of AI to interpret personal medical data and tell patients stories about their own conditions, raising questions about accuracy, nuance and the risk of misleading conclusions. It adds to a wider debate over how much authority AI-generated health information should carry for patients and doctors.

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 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.

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.

Bill Gates said developing artificial intelligence without regulation would be 'completely irresponsible'. The remarks add his voice to a growing debate among tech leaders and governments over how quickly AI should be governed, as rapid advances in generative AI raise concerns about safety, misinformation and job disruption. Reaction is split between those welcoming oversight and those warning regulation could slow innovation.

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.

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 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, experienced a glitch during a Piers Morgan interview, suddenly speaking Cantonese on air. The mishap adds to the controversy around the digital performer, whose creation has already drawn criticism from Hollywood actors and unions concerned about AI replacing human talent. Observers seized on the malfunction as evidence of the technology's limitations.