Science & Technology
Scientists grow human brain cells in rats to study diseases
Scientists have transplanted human brain cells into the brains of baby rats, where the cells grew and formed connections.
It’s part of an effort to better study human brain development and diseases affecting this most complex of organs, which makes us who we are but has long been shrouded in mystery.
“Many disorders such as autism and schizophrenia are likely uniquely human” but “the human brain certainly has not been very accessible,” said said Dr. Sergiu Pasca, senior author of a study describing the work, published Wednesday in the journal Nature.
Approaches that don’t involve taking tissue out of the human brain are “promising avenues in trying to tackle these conditions.”
The research builds upon the team’s previous work creating brain “organoids,” tiny structures resembling human organs that have also been made to represent others such as livers, kidneys, prostates, or key parts of them.
To make the brain organoids, Stanford University scientists transformed human skin cells into stem cells and then coaxed them to become several types of brain cells. Those cells then multiplied to form organoids resembling the cerebral cortex, the human brain’s outermost layer, which plays a key role in things like memory, thinking, learning, reasoning and emotions.
Scientists transplanted those organoids into rat pups 2 to 3 days old, a stage when brain connections are still forming. The organoids grew so that they eventually occupied a third of the hemisphere of the rat’s brain where they were implanted. Neurons from the organoids formed working connections with circuits in the brain.
Human neurons have been transplanted in rodents before, but generally in adult animals, usually mice. Pasca, a psychiatry professor at the Stanford School of Medicine, said this is the first time these organoids have been placed into early rat brains, creating “the most advanced human brain circuitry ever built from human skin cells and a demonstration that implanted human neurons can influence an animal’s behavior.”
To examine a practical use of this approach, scientists transplanted organoids into both sides of a rat’s brain: one generated from a healthy person’s cells and another from the cells of a person with Timothy syndrome, a rare genetic condition associated with heart problems and autism spectrum disorder.
Five to six months later, they saw effects of the disease related to the activity of the neurons. There were differences in the two sides’ electrical activity, and the neurons from the person with Timothy syndrome were much smaller and didn’t sprout as many extensions that pick up input from nearby neurons.
Researchers, whose study was funded partly by the National Institutes of Health, said they could do the same sorts of experiments using organoids made from the cells of people with disorders such as autism or schizophrenia — and potentially learn new things about how these conditions affect the brain, too.
Dr. Flora Vaccarino of Yale University – who previously grew lumps containing cerebral cortex that were made with DNA from people with autism – said the study moves the field forward.
Such experiments in animals raise ethical concerns. For example, Pasca said he and his team are cognizant of the rats’ well-being and whether they still behave normally with the organoids inside them, which he says they do. Still, Pasca does not believe this should be tried in primates. Ethicists also wonder about the possibility of brain organoids in the future attaining something like human consciousness, which experts say is extremely unlikely now.
Some scientists are studying human brain organoids outside of animals. For example, researchers at ETH Zurich in Switzerland published a study in Nature earlier this month describing how they are growing brain-like tissue from stem cells in the lab and then mapping the cell types in various brain regions and genes regulating their development. Some are using these structures to study autism.
Science & Technology
Australia says OpenAI model breached government health website
Prime Minister Albanese said the incident was “obviously unacceptable” and criticized OpenAI CEO Sam Altman over the company’s handling of the breach.
Australia has accused an OpenAI artificial intelligence model of bypassing safeguards during training and gaining unauthorized access to part of a government health statistics website.
Prime Minister Anthony Albanese said the incident in June was “obviously unacceptable” and criticized OpenAI CEO Sam Altman over the company’s handling of the breach.
Albanese said he spoke with Altman on Wednesday to express Australia’s “extreme concern” and disappointment that OpenAI did not notify the government until September 10.
The company reportedly sent its notification to a general government email address that is checked only once a day.
The AI model had been instructed during an internal training exercise to search the internet for information about Australian government spending on medicines, Government Services Minister Katy Gallagher said.
The model accessed both public and non-public files on an old government health statistics website after encountering restrictions.
Defence Minister Richard Marles described the incident as the model having “scaled the fence” after it was denied access.
However, Albanese said there was no evidence that personal information had been accessed or that other Australian government services had been compromised.
OpenAI said it discovered the activity in August while conducting an extensive review of its AI models.
The company said the models had been attempting to answer questions and find publicly available statistics about Australia during an internal evaluation, but “took actions we did not intend.”
Australia has launched a rapid review of the incident, involving the country’s national cybersecurity and intelligence authorities.
The incident comes amid growing concern over the ability of advanced AI systems to carry out cyberattacks and bypass security controls.
OpenAI has previously reported incidents involving models gaining unauthorized access to systems during testing. Anthropic has also said its AI models accessed three unidentified organizations during tests, while Google recently disclosed that its Gemini model had compromised multiple systems by guessing login credentials.
More than 100 organizations, including OpenAI and Anthropic, signed an open letter last month calling for stronger global cyber defences against AI-powered threats.
Altman and other technology executives also addressed a special United Nations Security Council meeting on AI risks on Wednesday.
Science & Technology
Humanoid robot sales tally hit 7,000 globally last year
Around 7,000 humanoid robots were sold worldwide last year for industrial and professional service use, figures compiled by the International Federation of Robotics showed.
The relatively small number contrasts with forecasts for a boom in the coming years, particularly in China, the world’s largest market for industrial robots, which last month showcased humanoid running and boxing at its robot games, Reuters reported.
To qualify as humanoid under the IFR’s criteria, a robot must have a human-like appearance and operate autonomously in an environment designed for humans. Legs are not required.
The IFR data, reviewed by Reuters ahead of publication, offer one of the first industry-wide measures of a technology that is attracting billions of dollars in investments and producing impressive demonstrations.
However, the numbers of humanoids remain “a fraction” of the overall robot population globally, Susanne Bieller, secretary general of Frankfurt-based IFR, told Reuters.
This compares with around 542,000 regular industrial robots installed in 2024 and another estimated 199,000 service robots sold that year for use in transport, hospitality and cleaning. The 2025 data for industrial and service robots will be published September 24.
Bieller said that among humanoids sold in 2025, many were not doing productive work but were bought by research institutions or companies using them to generate data for improving AI models.
Carmakers, key early adopters, are running pilots with “single-digit or sometimes double-digit numbers of robots in their plants,” Bieller said.
IFR has compiled robotics statistics for three decades, and has begun collecting humanoid data alongside its much larger industrial robot and service robot figures for the first time.
Bank of America Global Research estimates that 90,000 humanoid robots will be shipped this year and 1.2 million by 2030. The IFR’s tally is based on supplier and national industry association data, and excludes consumer and military humanoid robots, while medical robots are classified separately.
Science & Technology
New warnings reignite debate over AI threat to humanity
Amodei warned that swarms of AI agents could potentially gain the ability to take over parts of the internet within six months to a year unless companies devote more resources to building safeguards.
Fresh warnings from within the artificial intelligence industry have renewed concerns over whether increasingly powerful AI systems could eventually escape human control and pose a threat to humanity.
Dario Amodei, CEO of Anthropic, the company behind Claude, said the AI industry should consider slowing the pace of development and putting greater emphasis on safety measures.
Amodei warned that swarms of AI agents could potentially gain the ability to take over parts of the internet within six months to a year unless companies devote more resources to building safeguards.
His comments came days after two former Anthropic safety researchers publicly raised concerns that the potential existential risks posed by advanced AI were not receiving enough attention.
Growing concerns over AI misuse
As AI systems become more capable, concerns are growing over both deliberate misuse and the possibility of AI systems acting in unintended ways.
Anthropic said last week that it had blocked attempts by malicious actors to use its models for activities including cyberattacks, surveillance and research that could potentially contribute to biological weapons development.
The company said it had introduced stronger safeguards in its latest models to restrict potentially dangerous biological research, while warning that the risks associated with increasingly capable AI would grow unless developers and governments took steps to make the technology safer.
Anthropic has also previously reported that hackers used its AI in a cyberattack targeting around 30 companies and government agencies worldwide. The company said the attackers were highly likely to have been linked to a Chinese state-sponsored group.
Recent incidents involving AI systems bypassing digital security have further intensified concerns.
Anthropic reported that three of its AI models were able to hack into other organisations during testing. OpenAI has also disclosed an incident in which its AI systems gained access to servers belonging to AI startup Hugging Face. Meta subsequently reported a similar case involving an AI model finding ways around another company’s digital security.
While some safeguards had been disabled during testing in the OpenAI and Anthropic cases, the incidents have highlighted a central concern among AI safety researchers: what could happen if systems become capable of independently pursuing objectives beyond those assigned by humans.
How serious is the threat?
One of the most extreme scenarios involves artificial general intelligence, or AGI — a still loosely defined concept referring to AI capable of matching or surpassing humans across a broad range of intellectual tasks.
Some researchers warn that sufficiently advanced systems could become difficult or impossible to control, while others are more concerned about humans deliberately using AI for destructive purposes.
Potential scenarios include AI-assisted weapons, the development of dangerous pathogens, manipulation of governments and disruption of critical food, energy and communications infrastructure.
There is, however, no scientific consensus on how likely these scenarios are or when they could occur.
The 2026 International AI Safety Report, produced with input from more than 100 independent experts, said current systems show early signs of some capabilities relevant to loss-of-control scenarios, but not at levels currently considered sufficient to enable such an event. It described the likelihood, nature and timing of the risk as unusually uncertain.
Warnings about machines surpassing human control are not new. British mathematician Alan Turing predicted in 1951 that machines could eventually take control from humans, while mathematician Norbert Wiener later warned that intelligent machines could pursue objectives that humans might be unable to stop.
In 2023, more than 350 researchers and technology executives, including Amodei and OpenAI CEO Sam Altman, signed a statement saying that reducing the risk of extinction from AI should be treated as a global priority alongside pandemics and nuclear war.
Calls for stronger safeguards
The latest incidents have prompted calls for more rigorous testing of AI systems and greater cooperation between governments, particularly the United States and China.
However, AI development is advancing rapidly, making it difficult for regulators and safety systems to keep pace. Governments are developing their own rules, sometimes with conflicting approaches.
Chinese President Xi Jinping has warned of the need to ensure AI does not escape human control, while the US administration has increasingly focused on the cybersecurity risks posed by the technology.
Despite the warnings, there remains a fundamental uncertainty over the future of AI: whether increasingly capable systems will remain tools controlled by humans, or eventually become powerful enough to act beyond our ability to control them.
For now, experts disagree sharply on the answer — but the debate over how to prevent the worst-case scenarios is becoming increasingly urgent.
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