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Astronomers spot galaxy shaped like the Milky Way but is far more massive

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Astronomers have observed a galaxy dating to an earlier epoch in the universe’s history that surprisingly is shaped much like our Milky Way – a spiral structure with a straight bar of stars and gas running through its center – but far more massive, offering new insight into galactic formation.

The distant galaxy, called J0107a, was observed as it appeared 11.1 billion years ago, when the universe was about a fifth of its current age. The researchers used data from the Chile-based Atacama Large Millimeter/submillimeter Array (ALMA) and NASA’s James Webb Space Telescope to study the galaxy, Reuters reported.

They determined that the galaxy’s mass, including its stars and gas, was more than 10 times greater than that of the Milky Way, and it was forming stars at an annual rate approximately 300 times greater. J0107a was more compact than the Milky Way, however.

“The galaxy is a monster galaxy with a high star formation rate and plenty of gas, much more than present-day galaxies,” said astronomer Shuo Huang of the National Astronomical Observatory of Japan, lead author of the study published this week in the journal Nature, opens new tab.

“This discovery,” said study co-author Toshiki Saito, an astronomer at Shizuoka University in Japan, “raises the important question: How did such a massive galaxy form in such an early universe?”

While a few galaxies that are undergoing star formation at a similar rate to J0107a exist in today’s universe, almost all of them are ones that are in the process of a galactic merger or collision. There was no sign of such circumstances involving this galaxy.

J0107a and the Milky Way have some commonalities.

“They are similarly huge and possess a similar barred structure. However, the Milky Way had plenty of time to form its huge structures, while J0107a didn’t,” Saito said.

In the first few billion years after the Big Bang event 13.8 billion years ago that initiated the universe, galaxies were turbulent entities and were much richer in gas than those existing currently – factors that fostered extreme bursts of star formation. While galaxies with highly organized structures like the barred spiral shape of the Milky Way are common now, that was not the case 11.1 billion years ago.

“Compared to other monster galaxies in the distant universe (dating to an earlier cosmic epoch) whose shapes are usually disturbed or irregular, it is unexpected that J0107a looks very similar to present-day spiral galaxies,” Huang said.

“Theories about the formation of present-day galactic structures may need to be revised,” Huang added.

The Webb telescope, as it peers across vast distances back to the early universe, has found that galaxies with a spiral shape appeared much earlier than previously known. J0107a is now one of the earliest-known examples of a barred spiral galaxy.

About two thirds of spiral galaxies observed in the universe today possess a bar structure. The bar is thought to serve as a form of stellar nursery, bringing gas inward from the galaxy’s spiral arms. Some of the gas forms what are called molecular clouds. Gravity causes the contraction of these clouds, with small centers taking shape that heat up and become new stars.

The bar that is part of J0107a measures about 50,000 light years in length, Huang said. A light-year is the distance light travels in a year, 5.9 trillion miles (9.5 trillion km).

The Webb telescope “has been studying the morphology of early massive galaxies intensely recently. However, their dynamics are still poorly understood,” Saito said.

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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.

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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.

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Humanoid robot sales tally hit 7,000 globally last year

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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.

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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.

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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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