generative AI

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.

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.

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.

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.

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.

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.

YouTube has announced an AI-powered editing assistant along with new insight tools aimed at helping creators produce and improve their content. The announcement, reported by Mashable, signals YouTube's continued push into artificial intelligence features for its creator community. The new tools are expected to streamline video editing and give creators deeper data about their audiences and performance.

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.

Black Forest Labs, the German AI startup behind the image generation model Flux, is calling on Europe to remain optimistic about artificial intelligence despite ongoing safety concerns. The company argues that European developers can compete globally and that regulation should not stifle innovation. Its stance feeds into a wider debate over whether EU rules are holding back the continent's AI sector.

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 high-profile Japanese anime voice actor has taken TikTok to court, alleging the platform hosted videos featuring an artificial intelligence clone of his voice without his consent. The case highlights growing tension between voice performers and AI companies over unauthorised replication of their voices, and could set a precedent for how Japanese law treats voice rights in the age of generative AI.

Alibaba has launched Qwen Intelligence as a full-stack agentic AI platform designed for smartphones. The platform is positioned to let phone makers run AI agents that can handle tasks on a user's behalf, extending Alibaba's Qwen model family beyond cloud services and into on-device mobile experiences. Coverage so far frames it as Alibaba's push to compete in the fast-moving smartphone AI space, where Google, Apple and Chinese rivals are also racing to embed assistants.

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.

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 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.

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.

Meta is preparing to launch three new devices: smart glasses without a built-in camera, an AI-powered keychain, and a new pair of VR glasses. The camera-free design is drawing particular attention as it addresses privacy concerns that have weighed on previous smart glasses. The AI keychain suggests the company is exploring smaller, wearable form factors for its assistant technology. Tech commentators are watching to see how the trio of products fits into Meta's broader push into artificial intelligence hardware.

Supersonic Labs has released Julia 1, an open decision model with 144.3 million parameters that is small enough to run on a standard CPU. Unlike large language models, decision models are built for making choices and taking actions rather than generating text. The low hardware requirement makes the model accessible to developers without expensive GPU infrastructure, which is drawing attention in the AI community.

A new report highlights that many workers in the UK are spending significant amounts of their own money on generative AI tools to use at their jobs, rather than relying on employer-provided software. The trend suggests employees see AI as essential enough to productivity that they are willing to personally fund subscriptions and services, raising questions about workplace technology policies and who should bear the cost of AI adoption at work.

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 prominent Japanese anime voice actor has filed a lawsuit against TikTok, claiming the platform hosts videos that use an AI-generated clone of his distinctive baritone voice without his consent. The case is drawing attention to the use of voice actors' voices in AI training and generation, a growing concern in Japan's anime industry, and could set a precedent for performers' rights over their vocal likeness.

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.

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.