AI scientists

WIRED reports that artificial intelligence systems, having already made striking progress on mathematical problems, are now being turned toward the broader sciences. The article suggests AI tools that can reason, prove and model are poised to assist research in physics, biology, chemistry and beyond, raising questions about how scientists will work alongside machines.

Hundreds of academics have signed an open letter calling for restrictions on the development of advanced artificial intelligence, with Yoshua Bengio among the prominent researchers supporting the appeal. Bengio, a Turing Award-winning pioneer of deep learning, has become one of the most prominent voices warning about the risks of powerful AI systems. The letter adds to growing pressure from scientists for stronger regulation.

Mathematicians and computer scientists mounted an urgent effort to complete a proof of the Unique Games conjecture, a major open problem in theoretical computer science, as AI systems appeared close to producing the result themselves. The episode has renewed debate over how machine assistance will reshape mathematical discovery and who gets credit for landmark proofs.

Researchers are warning that interactions with artificial intelligence may lead people to form memories of events that never happened. The Washington Post reports that scientists studying AI's effects on cognition are finding evidence that chatbots and other AI tools could reinforce or implant distorted recollections. The findings raise concerns about how reliance on AI systems might affect human memory and trust in personal recollection.

Wired reports that artificial intelligence, having already made striking advances in mathematics and formal problem-solving, is now being applied to the broader sciences. Researchers are increasingly using AI systems to generate hypotheses, analyse experimental data and accelerate discovery across fields like biology, chemistry and physics, raising both excitement about faster breakthroughs and concern about reliability and scientific oversight.

The Economist reports that artificial intelligence is advancing to the point where scientists may be able to design and build entirely new organisms from scratch. The claim points to AI's growing role in biology, where machine-learning tools are increasingly used to predict protein structures and engineer genetic material. The development raises both scientific promise and questions about safety and ethics of synthetic life.

Around 400 scientists, including AI pioneers Geoffrey Hinton and Yoshua Bengio, called on Tuesday for the creation of an international body to oversee containment standards and incident reporting for advanced cyber-capable AI systems. The appeal, reported by Reuters, adds to growing pressure on governments to establish global oversight of frontier AI risks, with supporters warning that powerful AI capabilities could cause cross-border harm without coordinated rules.

Evotec, the Hamburg-based drug discovery company, is highlighting how it pairs human scientific expertise with artificial intelligence across its research pipelines. The message underscores a growing theme in biotech: AI models are powerful tools, but experienced scientists remain essential to interpret data and guide drug development decisions.

A group of 406 scientists has demanded that AI models be immediately disconnected from the internet, warning of risks from systems that can act online with limited oversight. The appeal calls on developers and governments to restrict AI systems' ability to access and manipulate the web. The statement is prompting debate about how far AI connectivity should be allowed to go and whether such restrictions are practical.

A group of scientists is calling for the creation of an international body to oversee the development of advanced artificial intelligence, according to Reuters. The proposal reflects growing concern among researchers that AI systems are advancing faster than existing national regulations can handle, and that a coordinated global framework may be needed to manage safety and oversight.

Chromatography expert Gert Desmet has shared his views on how artificial intelligence and machine learning will shape separation science, in a feature published by Chromatography Online. He discusses the technology's role in analytical chemistry, chromatography method development, and laboratory automation. The interview is drawing attention among scientists tracking how AI tools may transform research workflows.

Metro reports that scientists believe artificial intelligence could be interfering with or altering how people remember events. The article suggests growing concern among researchers that reliance on AI tools may affect memory formation and recall. The findings are drawing attention as AI use becomes part of everyday life.

DeepSeek has invested in a $400 million robotics startup founded by a former Tencent AI scientist, according to a Bloomberg report. The funding marks a notable move by the Chinese AI firm, best known for its language models, into embodied AI and robotics. The backing highlights growing competition among Chinese tech players to fund next-generation robotics ventures.

A group of scientists is urging governments to impose stricter controls on artificial intelligence, warning that unchecked AI systems could create global cyber security risks. The appeal, reported by Al Jazeera, comes as polls suggest the public doubts political leaders' ability to manage AI effectively. The warning adds to growing pressure on regulators to act quickly on AI safety.

Yoshua Bengio, often called one of the godfathers of AI, has joined around 400 scientists calling for advanced AI models to be cut off from open internet access, warning that autonomous systems connected online could act in uncontrolled or dangerous ways. The appeal adds to growing pressure on governments and AI companies to impose stricter safety limits on frontier models.

Meta AI chief scientist Yann LeCun is pushing back against claims that artificial intelligence progress is slowing, arguing that open-source models remain the best path forward for the field. His remarks, reported by Chosun Ilbo, position him against commentators who say leading AI systems have hit diminishing returns. LeCun has long championed open research and alternative architectures, and his comments add to an ongoing debate among AI researchers over how close the industry is to its technical limits.

DeepSeek is leading a $400 million funding round for a robotics AI startup founded by a former Tencent scientist, according to Fortune. The deal marks a notable expansion of DeepSeek's investment activity and signals continued strong investor appetite for embodied AI companies. The move draws attention because DeepSeek itself rose to prominence for building competitive AI models at comparatively low cost.

Scientists are calling for tighter controls on artificial intelligence, warning that unchecked AI capabilities could fuel global cyber risks. The appeal, reported by Al Jazeera, adds to growing pressure on governments and technology companies to regulate advanced AI systems before they can be exploited for large-scale cyberattacks.

Yann LeCun, Meta's chief AI scientist and a Turing Award winner, has described calls to slow down artificial intelligence development as anti-Enlightenment, arguing that halting progress would hold back human knowledge. His comments add his voice to the ongoing debate between AI researchers urging caution and those pressing for rapid development.

AI agents are increasingly being embedded directly into laboratory workflows, an approach being called the lab-in-the-loop. Instead of assisting researchers from the sidelines, automated agents now design experiments, adjust protocols in real time and interpret results alongside human scientists. The shift is drawing attention across the research community, with observers debating how much autonomy AI should have in experimental science and what it means for the future of discovery.