AI researchers

Mathematician Terence Tao has written about the creation of an Advisory Group on Mathematics and Artificial Intelligence, a body intended to advise on how AI intersects with mathematical research. The announcement is drawing attention in the tech and mathematics communities, where Tao is widely regarded as one of the most influential voices on AI's role in science.

Google has announced Project Suncatcher, a research initiative to run machine learning infrastructure on solar-powered satellite constellations in orbit. The idea is to use uninterrupted sunlight in space to power AI data centers without Earth's land and energy constraints. Commenters are debating feasibility, launch costs, thermal management and whether orbital compute could scale.

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.

OpenAI has announced the creation of an Advisory Group on Mathematics and Artificial Intelligence. The initiative brings together experts to examine how AI systems relate to mathematical research and reasoning, and how the two fields can inform each other. The announcement is drawing attention among technologists debating AI's growing role in scientific and mathematical work.

A new Norwegian science study reports that users aged 9 to 18 increasingly turn to AI tools instead of traditional Google searches for information online. Researchers caution that the consequences of this shift remain unknown, raising concerns about how young people evaluate sources, verify facts, and develop search skills as AI-generated answers replace conventional search results.

A new study examines whether artificial intelligence systems could experience pain, a question that touches on machine consciousness and ethics. Researchers are weighing whether AI responses that mimic suffering reflect genuine experience or statistical pattern-matching. The work has drawn attention as AI systems grow more sophisticated, prompting debate about how society should treat machines that appear to express distress.

A project called Roboharm is asking whether frontier robot policies, the AI models now being wired into embodied machines, actually refuse unsafe instructions. It examines how large models behave when given harmful physical commands, a question that matters as robots move into homes and workplaces. The work is drawing attention among AI safety and robotics researchers discussing whether current safeguards transfer to the physical world.

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.

Researchers have developed an artificial intelligence system capable of interpreting the chemical instructions that tell embryo cells what type of cell to become. The work focuses on how chemical marks on DNA guide early development, with the AI able to read these patterns and predict cell fate. Scientists say such tools could deepen understanding of development, birth defects and regenerative medicine, though further validation will be needed.

An artificial intelligence researcher is cautioning that the most serious threat from AI is not armies of robots but the gradual erosion of democratic institutions. The warning, carried by the Coast Reporter, argues that public debate fixates on sci-fi scenarios while systemic damage to democratic processes gets less attention.

Reports say scientists plan to bring back the woolly mammoth with the help of artificial intelligence. The claim, picked up in headlines including the New York Post, suggests AI tools are being used to support de-extinction research aimed at recreating the Ice Age species. Details of the project, its timeline and its scientific credibility remain limited in the available reporting.

A Wall Street Journal feature examines the 'doomers' — researchers and commentators who warned that advanced artificial intelligence could threaten humanity — and traces how their arguments shaped the AI safety debate. The profile explores their worldview, their influence on policy and public concern, and the phrase 'things will never be chill again' capturing their conviction that AI risk is now unavoidable.

Researchers at Skylark Labs have developed an AI system that enables robots to continue learning even after they have been deployed in the field. The announcement, reported by Robotics & Automation News, points to a shift away from static, pre-trained robot models toward systems that adapt to new environments and tasks in real time, a capability seen as key for industrial and service robotics.

Debate over artificial intelligence risk continues within the industry itself. While some prominent researchers warn that advanced AI could pose existential threats to humanity, many people working in the field reject those fears, arguing the dangers are overstated and that focus on doomsday scenarios distracts from practical concerns like bias, jobs, and misuse.

A Brookings researcher says the current artificial intelligence buildout will become the largest infrastructure investment in US history, exceeding past national buildouts in scale. The claim highlights the enormous spending on data centers, power capacity and computing hardware driving the AI boom, and raises questions about whether the bet will pay off for the economy.

Attention is turning to how universities should integrate artificial intelligence into teaching without eroding students' critical thinking skills. The discussion covers recent statistics on AI adoption in higher education alongside news on institutional policies. Commentators are weighing the benefits of AI tools for research and learning against concerns about overreliance, academic integrity, and the need to preserve independent analytical skills among students.

OpenAI's original 2015 introduction post is circulating again, drawing renewed attention on tech discussion forums. The old announcement describes the nonprofit research lab's mission to develop artificial intelligence for the benefit of humanity. Readers are revisiting the text in light of how dramatically the company's scale, structure and prominence have changed since then.