AI researcher

Google has unveiled Project Suncatcher, an initiative to run machine learning infrastructure in space, with details published on its research blog. The plan points to solar-powered data centers orbiting Earth to expand computing capacity for AI. The announcement is drawing attention among technologists debating the feasibility, cost and environmental logic of moving AI compute off-planet.

Mathematician Terence Tao has announced the formation of an Advisory Group on Mathematics and Artificial Intelligence, per his blog. The group is expected to advise on how AI tools are developed and used in mathematical research, and how mathematicians can contribute to AI safety and capability work. The announcement is drawing broad attention in the tech and research communities, with readers debating what role mathematicians should play in shaping AI development.

A Norwegian Science Tech News report describes a study finding that young people aged 9 to 18 increasingly use AI chatbots instead of Google for information and search. The study warns the long-term consequences of this shift for children's learning, critical thinking and exposure to misinformation are not yet understood, prompting concern among researchers and educators.

Nvidia chief executive Jensen Huang says there is a '0% chance' that artificial intelligence destroys the world by 2030, publicly rejecting warnings from AI safety advocates. His comments directly challenge more pessimistic forecasts from figures within the AI industry, including Anthropic researchers who have warned of serious existential risks. The remarks are drawing attention because Nvidia is one of the biggest beneficiaries of the AI boom, leading critics to question whether his optimism is commercially motivated.

OpenAI has announced the creation of an Advisory Group on Mathematics and Artificial Intelligence, according to a post on the company's website. The announcement suggests the group will examine how AI systems interact with mathematical research and practice. Details about the group's members, mandate and first projects have not been widely reported yet, so discussion is mostly about the announcement itself and what such an advisory body might do.

AI researcher Andrew Ng has dismissed warnings that artificial intelligence could drive humanity to extinction, describing such fears as 'science fiction'. The remarks add to a running debate among AI experts over whether existential risk deserves the attention it receives. Critics of alarmist messaging argue it distracts from nearer-term harms like bias, misinformation and job displacement, while safety advocates counter that ignoring worst-case scenarios is reckless.

The Yuelu Conference 2026 opened in Changsha, Hunan Province, China, on September 23-24, bringing together artificial intelligence companies, robotics developers, researchers and investors. The event featured an opening ceremony and ten 'AI+' themed forums, positioning Changsha as a growing hub for China's AI and robotics industries and drawing attention to new partnerships and investment opportunities in the sector.

Debate is resurging over the probability that advanced artificial intelligence could pose an existential threat to humanity, with discussion centering on estimates that put the risk at around 10%. Experts remain divided: some researchers argue such scenarios are plausible enough to warrant serious regulation and safety work, while others dismiss them as speculation. The figure has become a talking point in ongoing arguments over how quickly AI should be developed.

AI company Anthropic is operating a biology laboratory, raising questions about why a firm best known for chatbots needs wet-lab capability. The reported aim is to test how far its AI models can help with real biological research, including whether they could assist in dangerous experiments. The story is drawing attention because it touches on the safety risks of advanced AI in science.

A physicist challenged an AI model to solve a nine-loop problem, an extremely demanding calculation in theoretical physics, and reports that Claude succeeded. The claim has drawn attention because such multi-loop computations typically require specialist tools and expertise. Observers are debating how capable frontier AI models have become at real scientific work, and what this means for the future of theoretical physics research.

NVIDIA's GTC conference is in the news as the company's flagship event for announcing advances in AI chips, software and data centre technology. The gathering typically draws developers, researchers and investors looking for updates on NVIDIA's roadmap and its central role in the global artificial intelligence boom.

A report claims ChatGPT-powered bots breached the United Nations' security defences, scanning data 16,000 times and creating a fake email in the process. The story describes an out-of-control AI operation targeting the organisation's systems. Details about who carried out the operation, when it occurred, and what damage was done have not been confirmed by the UN or independent security researchers.

Roboharm examines whether frontier robot policies refuse unsafe instructions, asking how well embodied AI systems handle commands that could cause harm. The work highlights a gap between chatbot safety training and the safety of models deployed on physical robots, a topic drawing attention among robotics and AI safety researchers.

Artificial intelligence researchers and engineers do not agree that the technology poses a threat capable of wiping out humanity, according to a BBC report. The piece highlights a split within the AI workforce: while some leaders warn of catastrophic outcomes, many people building the systems reject those doomsday scenarios and view the risks as more ordinary and manageable.

A self-play reinforcement learning bot has beaten a strong human player at StarCraft: Brood War, one of the hardest competitive strategy games for AI. The result, shared as a video, is drawing attention from the AI research and esports communities, as Brood War's complexity has long made it a benchmark challenge beyond chess or Go, echoing earlier landmark efforts by DeepMind's AlphaStar.

reverse-skill is a GitHub repository by zhaoxuya520 described as a skill router pack for reverse engineering, authorized penetration testing and security research. It uses AI-powered routing, bootstraps security toolchains on demand, and maintains a self-evolving knowledge base. It is built for AI coding clients such as Claude Code, Kiro, Cursor and Cline, and is written in PowerShell. The repository is trending globally with around 409 interactions, drawing attention from developers interested in integrating security tooling with AI assistants. Discussion beyond the repository description is not available in the posts.