generative AI

Researchers examining the Victorian state election say AI-generated deepfakes are distorting the campaign, with new findings identifying which groups of voters are most susceptible to manipulated audio and video. The analysis points to varying levels of digital literacy across age groups as a key factor in who falls for fabricated political content, raising concerns about misinformation ahead of the vote.

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 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.

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.

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 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.

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 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.

A critique of Demis Hassabis's comments on artificial intelligence and creativity in visual art is drawing attention. The piece challenges the DeepMind chief's framing of how AI relates to artistic creation, reflecting a wider debate among artists and technologists over whether machine-generated images constitute genuine creativity or an appropriation of human work.

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.

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.

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.

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.

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.

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.