intelligent systems

Anthropic's chief executive has called for stronger regulation of artificial intelligence, speaking in an exclusive interview. The company behind the Claude chatbot has previously urged governments to establish testing and safety standards for advanced AI systems. The remarks add to a growing debate among AI developers and policymakers over how quickly rules should be introduced to manage risks from increasingly capable models.

Cal Newport has published an essay arguing it is time to formally investigate the leading AI laboratories. The piece contends that companies racing to build powerful artificial intelligence systems deserve greater scrutiny over their safety practices, claims, and societal impact. The argument is drawing attention among technology commentators, with debate centering on whether external oversight of AI labs is overdue.

Meta AI chief and Turing Award winner Yann LeCun says he has 'zero concerns' that artificial intelligence will wipe out humanity, and argues that Anthropic CEO Dario Amodei, who warns of catastrophic AI risk, is deluded. LeCun also dismisses recent reports of AI systems behaving in 'rogue' ways as evidence of existential danger, maintaining his long-standing scepticism toward doom scenarios.

Religious scholars met with Anthropic, the company behind the Claude chatbot, according to a New York Times report. The discussions appear to focus on questions of morality and how AI systems should handle ethical and religious perspectives. The meeting highlights growing interest in bringing ethicists and theologians into conversations about how artificial intelligence is developed and what values it should reflect.

French mathematician and politician Cédric Villani is back in the spotlight amid renewed debate about artificial intelligence's impact on mathematics. A Courrier International piece argues mathematicians are living through an existential crisis as AI systems increasingly solve problems once thought to require human insight. The discussion touches on what remains distinctly human in mathematical creativity and research.

Open-source artificial intelligence is expanding rapidly, with freely available models now rivalling closed systems from major tech companies. Commentators argue this shift matters because it lowers the cost of building AI products, gives developers more control, and raises questions about safety, regulation and who benefits from the technology. The pace of community-driven releases is a central point of the debate.

The New York Times has published an opinion video titled 'The A.I. vs. A.I. Future', examining a scenario in which artificial intelligence systems increasingly interact with, counter, or check one another. The piece is drawing attention among technology commentators discussing where rapid AI development is heading and what a world of competing machine systems could mean.

Attention is turning to independent researchers who document and expose mistakes made by artificial intelligence systems, a story highlighted by the Wall Street Journal. The piece profiles the hobbyists and experts who test AI tools, catch fabricated or wrong outputs, and publicize their findings. Interest comes as AI chatbots become more widely used and their errors carry real consequences.

A New York Times opinion piece argues that artificial intelligence companies should be held legally liable for harms caused by their systems, framing liability law as a tool to force safer development. The argument lands amid ongoing debate in the United States and Europe over how to regulate AI, with policymakers weighing safety rules, oversight bodies and industry accountability measures.

Canada's financial regulator is moving to implement tighter guardrails on how banks use artificial intelligence. The measures aim to ensure banks deploy AI in lending, fraud detection and customer service without exposing customers or the financial system to unmanaged risks. The move follows growing pressure on regulators worldwide to keep pace with rapid AI adoption in finance.

An MIT Technology Review piece argues that large language models should not be credited with genuine reasoning, pushing back on the framing used by AI labs and much media coverage. The author contends that fluent, step-by-step outputs can mislead people into seeing human-like thinking where there is only pattern-based text generation. The argument is drawing attention and debate among technologists weighing how much intelligence to attribute to today's AI systems.

Anthropic, the artificial intelligence company behind the Claude chatbot, has updated its usage policy to prohibit users from treating its AI systems in a cruel or abusive manner. The rule, reported by BBC News, is drawing attention to questions about AI ethics, user behaviour and whether companies should extend protections to chatbots even without evidence the systems can suffer.

Alibaba's chairman has argued that the company's open source approach to artificial intelligence could serve as a model for Europe as it develops its own AI strategy. The remarks, reported by the South China Morning Post, position openly available AI models as an alternative to closed, proprietary systems, and come amid ongoing debate in Europe over regulation and technological sovereignty.

Philosopher Richard David Precht spoke in Berlin about the risks of artificial intelligence, arguing that AI will not extinguish humanity itself but could erase culture and religion as we know them. His remarks are drawing attention in German media, adding to the ongoing debate over how rapidly developing AI systems might reshape society, belief and cultural traditions.

Russian business daily Vedomosti has published a piece on the maturity of artificial intelligence in business, focusing on the practices that have turned AI from an experimental technology into a working instrument. The article highlights companies and approaches where AI delivers practical results rather than remaining a buzzword, amid growing Russian corporate interest in deploying AI systems.

Andrei Rusetsky, investment director at Russian management company Pervaya, says the firm is developing an AI-driven portfolio manager. The announcement, reported alongside tech news outlet CNews coverage, points to growing adoption of artificial intelligence in Russia's asset management industry. The company has not detailed how the AI system will make investment decisions or when clients will see it in practice.

President Trump is reportedly set to appoint Jay Clayton as the White House's top artificial intelligence official, according to CBS News sources. The pick comes as the administration shapes its approach to AI policy, including debates over superintelligence and the regulation of advanced AI systems, a topic drawing growing public and political attention.

TechCrunch has published a piece examining the human tendency to attribute human-like qualities to artificial intelligence, asking whether this instinct is harmless or a problem. The article explores the psychology behind anthropomorphising chatbots and AI assistants and weighs the ethical implications, including trust, manipulation and emotional attachment, as AI systems become more conversational and lifelike.

Terence Tao has published a new blog post outlining what working mathematicians should understand about the Lean theorem prover, focusing on questions of reliability and the growing role of artificial intelligence in formal proof. The piece addresses how Lean verifies mathematical arguments and how AI tools are increasingly used alongside formal systems, a topic of active debate as AI-assisted proofs become more common in research mathematics.

As Hurricane Isaias headed toward land, attention turned to the growing role of artificial intelligence in storm forecasting. A New York Times report puts AI-based hurricane models front and center, highlighting how these systems are increasingly used alongside traditional forecasting methods to predict a storm's track and intensity as it nears the coast.

An artificial intelligence system has submitted a false homicide tip to the Philadelphia Police Department, according to a Washington Post report. The incident raises fresh questions about the reliability of automated systems feeding information directly to law enforcement, and what safeguards exist to verify tips generated by AI before police resources are deployed on the basis of them.

The US government and Google are joining the Chan Zuckerberg Biohub in a $1.8 billion initiative to build large-scale biology data for artificial intelligence research. The project aims to give AI systems detailed biological datasets, supporting advances in medicine and science. The partnership pairs public funding and Google's technical resources with the Biohub's research infrastructure, drawing attention as one of the larger coordinated efforts to apply AI to the life sciences.

Neuroscientist Anil Seth says artificial intelligence systems do not possess genuine consciousness, despite their fluent, human-like outputs. He argues that current AI, however impressive, simulates intelligence without subjective experience, and warns against confling linguistic performance with inner awareness. His remarks come as public debate intensifies over whether advanced AI models could be conscious or deserve moral consideration.

Epoch AI has published a new evaluation examining whether artificial intelligence systems can automate AI research and development itself. The publication, shared on tech discussion forums, tests how well current models perform at the kind of novel, innovative work that drives progress in AI research. It is drawing attention as labs increasingly pitch AI agents as tools for accelerating their own research pipelines.

The District of Columbia Council is considering new rules governing the use of artificial intelligence and other technology in the city's public schools. The discussion comes as school systems nationwide grapple with how AI tools like chatbots should be handled in classrooms, balancing educational benefits against concerns about cheating, data privacy and screen time for students.

Researchers report that large AI models develop internal structures resembling those found in the human brain, reigniting arguments over whether such systems could have forms of consciousness. Commentators are split, with some calling the findings a milestone for understanding machine intelligence and others cautioning that structural similarity does not prove subjective experience.

A former IBM strategist is challenging the tech industry's push to sell artificial intelligence as a solution for ageing legacy IT systems, arguing the economics of such modernisation efforts do not hold up. Vendors have been pitching AI as a cure-all for outdated infrastructure, but the critique suggests the costs and complexity may outweigh the benefits, prompting debate about realistic approaches to modernisation.

A report examining frontier artificial intelligence and the prospects of an intelligence explosion has drawn attention on Hacker News, where it reached the front page. The piece, published by CASP, discusses how to evaluate advanced AI systems and the risks and timelines associated with increasingly capable models.

Researchers at the University of Vienna are examining whether artificial intelligence can replace mathematicians, exploring what current AI systems can and cannot do in mathematical research. The discussion touches on how tools like large language models handle proofs, conjectures and creative problem-solving, and whether they will become collaborators or substitutes for human mathematicians in the years ahead.