generative AI

Bill Gates has joined a growing chorus of voices calling for safeguards on artificial intelligence, including new legislation to govern the technology. The Microsoft co-founder's intervention adds weight to debates among governments and tech leaders over how AI should be regulated as tools like chatbots and image generators spread rapidly.

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.

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.

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.

An academic has warned that the EU's AI legislation systematically fails to protect authors' moral rights, such as attribution and the integrity of their work, as AI systems increasingly train on and generate creative content. Writing in World Trademark Review, the scholar argues that current EU law focuses on economic rights and compliance rules while leaving moral rights largely unaddressed, raising concerns for writers and creators across Europe.

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 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.

Some members of Gen Z, who grew up on smartphones rather than keyboards, are teaching themselves typing skills to write AI prompts more effectively and gain an edge in the job market. Educators and career coaches note that fast, accurate typing can improve productivity with tools like ChatGPT and remains a basic workplace expectation, prompting young workers to close the gap themselves.

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 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.

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 without specialized hardware. The model is aimed at decision-making tasks rather than general text generation, and its open availability plus low hardware requirements make it notable among practitioners seeking lightweight alternatives to large AI models.

Insilico Medicine has signed a co-development deal worth tens of millions of dollars with an unnamed foundation-model laboratory, joining forces to apply large AI models to drug discovery. The Hong Kong-based biotech, known for using generative AI to design drug candidates, has not disclosed its partner or the exact terms, leaving observers speculating about which AI lab is behind the agreement.

Anthropic has established its own wet laboratory as it expands its AI-driven drug discovery programme, according to Reuters. The lab will let the company test biological hypotheses generated by its AI models in real experiments. Observers see it as a notable step for an AI firm moving from software into hands-on biology and pharmaceutical research.

Korean chip giants Samsung Electronics and SK Hynix are moving into co-packaged optics (CPO) technology, which links AI semiconductors using optical connections to boost data transfer speeds and energy efficiency. As AI computing demand surges, Korean media describe the shift as a new race in which chips compete 'at the speed of light', alongside global players developing similar interconnect solutions.

A new commentary argues that media coverage of artificial intelligence focuses too much on speculative, science-fiction scenarios while ignoring real harms happening today. The author contends generative AI is already damaging people's lives and that debating futuristic risks wastes attention and resources. The piece adds to an ongoing debate about whether AI discourse should prioritize present-day harms like misinformation, bias and labor impacts over existential ones.

At KDE's annual Akademy conference, a presentation proposing an "AI-native KDE" sparked debate among developers, leading KDE developer Nate Graham to open a discussion about proposed restrictions on AI-generated contributions. KDE and GNOME communities are now weighing how to handle code and other contributions produced with AI tools, balancing enthusiasm for automation against concerns over quality, licensing and maintainability. The debate has drawn attention across the free software world.

The Solus Linux distribution has formally adopted a policy allowing AI- and LLM-assisted code contributions, but only under strict conditions. Contributors must disclose AI use, ensure code passes testing and review, and remain accountable for what they submit. The move makes Solus one of the more explicit open-source projects in setting formal rules for AI-generated contributions.

TSMC has reportedly begun pilot production of chips on its A14 node, a 1.4nm-class process, with volume production targeted for 2028. The A14 line would succeed the current 2nm generation and keep the Taiwanese foundry ahead of rivals Samsung and Intel in the race for ever-smaller transistor sizes, with major customers such as Apple expected among early adopters.

OpenAI is reportedly preparing to give developers an early preview of GPT-6 Cyber at its upcoming DevDay conference. If confirmed, the unveiling would mark the next step in the company's model lineup and signal a focus on security-oriented capabilities. Details remain sparse, with the report offering no official confirmation from OpenAI on timing or features.

New Jersey regulators fined a data center $1.1 million after aerial photographs revealed 62 gas-powered generators on the site. The images suggested the facility had been running extensive diesel or gas backup equipment that was not properly disclosed or permitted. The case is drawing attention to how data centers powering the AI boom expand their infrastructure quietly, and how enforcement increasingly relies on satellite and drone imagery rather than on-site inspections.

Meta's Muse is drawing attention as an AI music offering, with commentary asking what it can do that Spotify's AI capabilities cannot. The comparison centers on how the two companies approach generative music and audio features, and what each brings to listeners and creators. Details of Muse's specific functions and Spotify's response are not yet spelled out, so the practical differences remain to be seen.