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Sunday, August 09, 2026

School-bus-sized chunk of SpaceX rocket believed to have crashed into the Moon

A school-bus-sized piece of a SpaceX rocket is believed to have smashed into the Moon on Wednesday, an unintentional collision that poses no danger to Earth but will leave behind a lunar crater. 

Issued on: 05/08/2026 - 
By: FRANCE 24
Video by: James ANDRE/



Cover image: The upper stage of a SpaceX Falcon 9 rocket is expected to crash into the Moon in a collision that will leave behind a crater on the lunar surface. © Gregg Newton, AFP/File
04:08



A SpaceX rocket piece floating in space since last year was expected to have smashed into the moon at high speed early Wednesday morning, though the impact was unlikely to be ​confirmed for at ‌least several hours.

The school-bus-size object is the second stage of a SpaceX Falcon 9 rocket that had launched a lunar ⁠lander from Firefly Aerospace toward the moon in January 2025.


Weighing 4 metric tons (4,000 kg), the rocket body had been due to hit the moon around 2:35am ET (06:35 GMT), travelling at 5,400 miles per hour (8,690 kph), but none ‌of the spacecraft orbiting the moon were expected to be in a position to capture images of the impact live.

The space junk ⁠would have kicked up a plume of lunar dust that would likely be illuminated by sunlight, but difficult to spot with the naked eye from Earth.

It was likely to be at least several hours before scientists would be able to confirm the crash by studying images ​from telescopes in the Americas, the BBC reported. The impact was unintentional, SpaceX said.

The rocket piece was expected to hit Einstein ‌Crater on the moon's western limb, which is often difficult to see from Earth.

Cosmic forces nudged piece to Moon

Such stages typically fall back into Earth's atmosphere and burn up or plunge into the ocean after boosting the rocket's payload to a precise spot in orbit.

But because the January lunar lander mission required more thrust than missions closer to ‌Earth, the rocket's second stage remained in space, floating aimlessly among thousands of other pieces of space junk that active satellites must steer clear of.

It was not until earlier this year that astronomers determined that the rocket stage, ​which had dumped its remaining fuel and could not be controlled, was on an orbital trajectory ending at the moon.

"What has happened is essentially a mixture of solar activity and gravity forces have put it on a path toward the moon," Julianna Scheiman, SpaceX director of NASA science and Dragon programs, told reporters ​on Monday.

"This may be of some – probably minor – scientific interest, and we may learn some things from it," said Bill Gray, creator of widely used astronomy software ​who published a report on the stage's impact in April.

"It doesn't present any danger to anyone, though it ​does highlight a certain carelessness about how leftover space hardware (space junk) is disposed of."

Space junk impacts on the moon are rare.


Cover image: © France 24
02:03




A Chinese rocket stage crashed into the moon in March 2022 after completing a lunar test mission.

In 2009, ​NASA intentionally crashed a rocket stage into the moon to study the plume of lunar material kicked up by the impact. Several spacecraft intending to softly land on the moon in recent years have crashed instead.

Russia's nuclear-powered Luna-25 mission spun out of control and crashed in 2023.

Its small power source of plutonium-238 likely remains harmlessly on the lunar surface.

India's Chandrayaan-2 lander mission crashed in 2019. Israel's Beresheet lander crashed that same year.

Among the Israeli lander's payloads were tiny tardigrades, microscopic animals known for surviving radiation ⁠and other harsh environments and which may still be on the surface.

NASA intentionally crashed stages from its Saturn V moon rocket into the moon in the 1970s to study the impacts' seismic effects.

NASA ⁠and SpaceX are discussing ways ​to prevent future lunar impacts, Scheiman said.

The US space agency plans to build a lunar base and send routine astronaut missions to the lunar surface beginning later this decade under its multibillion-dollar Artemis program. It would not want errant pieces of space junk impacting those assets.

(FRANCE 24 with AFP)

Friday, August 07, 2026

AI before AI: The legacy of Norbert Wiener’s cybernetics
 (3/3)


British mathematician Norbert Wiener, who founded the field of cybernetics in the 1940s, may deserve a place alongside artificial intelligence founders Alan Turing and John von Neumann. FRANCE 24 revisits this overlooked visionary who was also one of the first to warn against the automation of society.



Issued on: 05/08/2026 -
FRANCE24
By: Sébastian SEIBT


Norbert Wiener, the father of cybernetics, not only influenced research into artificial intelligence but was also one of the first to warn of the risks associated with automation. © FMM graphics studio

The story of the founding fathers of artificial intelligence almost always features British mathematician Alan Turing and his computing machine. John von Neumann is often presented as the mastermind behind programmable computers.
Summer serie: AI before AI

Names from the Dartmouth group – such as John McCarthy or Marvin Minsky – are also sometimes cited as the “inventors” of artificial intelligence.

However, another figure is often overlooked or relegated to the category of second-rate pioneers: Norbert Wiener, the founding father of cybernetics in the 1940s.

ChatGPT, Claude and other AI chatbots can be regarded as the offspring of his ideas.

But it's uncertain whether Wiener – with his particular moral, political and scientific convictions – would claim any credit for these modern large language models.
A young prodigy

Wiener was born on November 26, 1894, in Columbia, Missouri, into a family of Jewish immigrants from Eastern Europe.

His father Leo Wiener, a highly strict professor of Slavic languages of Lithuanian origin, would “behave somewhat like Pygmalion and attempt to mould his son in his own image", said Pierre Cassou-Noguès, a philosopher at Paris 8 University and author of a fictionalised account of the mathematician’s life.

"At least, that is how Wiener describes it in his autobiography,” he added.

Thus, Wiener became “a young scientific prodigy moulded by his father”, agreed Mathieu Triclot, a philosopher specialising in the history of technology at the Belfort-Montbéliard University of Technology.

He learned to read before the age of four, graduated from high school at 11, earned a bachelor’s degree in mathematics at 14 and completed his PhD in mathematics at Harvard at 18.

A few years later, the Massachusetts Institute of Technology (MIT) appointed him as one of its youngest professors.

It was in this role that, after World War II, Wiener developed his ideas which would “have an impact on many fields related to artificial intelligence such as robotics, control engineering and multi-agent systems”, said Philippe Mathieu, an artificial intelligence specialist at the University of Lille.

Weinter laid the foundations for the new field of cybernetics as early as 1943 in a seminal article and further developed his ideas in the book “Cybernetics or Control and Communication in the Animal and the Machine”, published in 1948.

Cybernetics studies “certain phenomena of control and information transmission in the same way in humans, in the animal kingdom and in the world of machines”, Cassou-Noguès said.

In other words, for Wiener and “cyberneticists”, it is possible to draw parallels between the way human and animal brains and machines process information.
Cybernetics, a ‘super-science’ attracting the biggest names in AI

In practical terms, these principles inspired Wiener to work on a new kind of anti-aircraft defence system during World War II.

He aimed to create a system capable of adapting in real time to the movements of missiles or aircraft and of learning from its mistakes. These were the very first tentative steps towards what we would now call “machine learning”.

“The central theme of cybernetics is understanding how an entity adapts to its environment and to the information available. Intelligence is seen as the result of interactions between an entity [living or not] and its environment,” Mathieu said.

“Logic, mathematics and electrical engineering, information theory, brain research and psychology – a whole bundle of scientific disciplines influenced the events that led to AI," writes Rudolf Seising, who specialises in the history of science and technology at the Deutsches Museum in Munich.

"In the first half of the 20th century, interdisciplinary considerations and, above all, transdisciplinary approaches to AI were mainly found under the umbrella of cybernetics, a ‘super science’.”

This “jack-of-all-trades” aspect of cybernetics may also explain why Wiener is less often seen as the “father of AI” than Turing or von Neumann, who had a more direct and immediate impact on the development of computer science.

READ MOREThe Dartmouth Workshop: The $7,500 investment that gave birth to AI (2/2)

But for Triclot, cybernetics’ “indirect influence” on AI is considerable.

A series of ten meetings known as the Macy Conferences on Cybernetics brought together scientists interested in Wiener’s ideas between 1946 and 1953.

Some of the biggest names in the history of AI, including von Neumann and Claude Shannon, took part and identified themselves with cybernetics at the time.

One of the founding members of the Macy Conferences was psychologist Joseph Carl Robnett Licklider, “one of the central figures in the history of American computing”, Triclot said.

He later became the head of the US Defense Advanced Research Projects Agency. Licklider "played a key role in the funding and development of the internet and also took an interest in human-computer interface technologies in the 1960s”, Triclot added.

At MIT, Wiener also supervised the work of Walter Pitts, a researcher and logician who was pivotal to the development of modern AI.

In the 1940s, Pitts laid the foundation for the first neural network model.
Against the Manhattan Project

This work, which is rooted in cybernetics, is essential to understanding today’s large language models.

While cybernetics itself may now seem to be a relic of the past, it paved the way, alongside neural networks, for the emergence of the branch of AI known as “connectionism”, which lies at the heart of the rise of ChatGPT and other 21st-century AI systems.

Wiener not only provided an “intellectual cradle” for AI, but “he was also one of the first to warn of its dangers”, Cassou-Noguès said.

Known for his strong-willed character and notorious outbursts of anger, Wiener understood why certain areas of scientific research were dangerous. Consequently, he refused to take part in the Manhattan Project, which led to the development of the first atomic bomb.

Following the bombings of Hiroshima and Nagasaki, Wiener even published a famous open letter in which he stated his intention to no longer publish research that could be misused for creating weapons of mass destruction.

Albert Einstein supported the move at the time.

But with cybernetics, "as early as 1948" Weiner also foresaw “the possibility of a fully or almost fully automated society – a development which, in his view, could just as easily lead humanity to a world free from the constraints of work or the social hell of mass unemployment,” Cassou-Noguès said.

Wiener concluded that he should continue his work in order to influence the direction research in the field was taking.

Often labelled as politically left-wing – US authorities suspected that he was sympathetic to the Soviet bloc during the Cold War – Wiener was thus one of the first to warn of the risk of social upheaval linked to the advent of machines.

In this sense, “cybernetics is a profoundly political endeavour, preoccupied with the fear of technological unemployment caused by machines that could replace workers”, Triclot said.


Cover image: The Debate © France24
02:02




For him, it is “striking to read this as early as 1947”, a time when computers were still very rare.

But for Wiener, this risk would only materialise “if we fall into the trap of treating human beings inhumanely”, said Triclot.

In other words, according to Wiener, robots would only be able to replace humans if humans were reduced to having the status of robots by denying everything that distinguishes them from machines.


Although the term “cybernetics” seems to have fallen out of use, the ideas of its founder are relevant today, at a time when companies are citing the triumph of AI to justify layoffs.

This article has been translated from the original in French.



















The era of the machine: Silicon Valley shows off humanoid robots

Cover image: Focus © France 24

Issued on: 05/08/2026 - 
05:07 min

For decades, humanoid robots belonged to the realm of science fiction. But today, they're one of Silicon Valley's hottest markets. According to consulting firm McKinsey, automation could transform up to 30 percent of all hours worked across the US economy by 2030. Dozens of companies are already developing robots that can interact with people and even help with everyday tasks. FRANCE 24's Pierrick Leurent and Valérie Defert report, with Wassim Cornet.





 

COSMOLOGY: an unusual death




Ludwig-Maximilians-Universität München




A Faint X-ray Flash Exposes a Dying Star's Missing Jet —a surprising discovery for the international team, which includes researchers from LMU.

A rare cosmic explosion has given astronomers an unprecedented look at a massive star in its final moments, revealing a missing link between ordinary stellar explosions, so-called supernovae, and gamma-ray bursts, the brightest and most powerful phenomena in the Universe.

The event, named EP260321a, was first detected by the Einstein Probe satellite as a brief flash of X-rays from a galaxy about 500 million light-years away. Scientists interpret the signal as a “shock breakout,” the moment when the shock wave from a star’s collapsing interior bursts through its surface and releases the first light of a supernova.

Shock breakouts are thought to occur in every massive star’s death, but they’re notoriously hard to catch. They last only a short time and shine brightest in X-rays. In the past two decades, astronomers have confidently identified just one other clear X-ray shock breakout, making EP260321a an exceptionally rare find.

The X-ray flash set off a worldwide observing campaign. Among the first to catch it was LMU’s 2.1-meter Fraunhofer Telescope at Wendelstein Observatory, which spotted a rapidly brightening supernova later named SN 2026gzf. Observations of how its light evolved showed it belonged to the class known as broad-lined Type Ic supernovae. This class of supernovae typically has material shooting out in a jet at nearly the speed of light, producing gamma-ray bursts.

“Stars die on a daily basis somewhere in the Universe. But it’s rare that something unusual happens close enough for our observations to reveal fundamentally new insights. EP260321a rang an alarm bell right away - an X-ray flash but no gamma-ray alert? A supernova in a nearby galaxy, embedded in a blue knot that had already been getting brighter for years? That’s not what is expected, and it set off a chase around the globe. Fortunately, we were well prepared for exactly this kind of opportunity with LMU’s observatories,” says LMU astrophysicist Daniel Gruen, who led the observations with Wendelstein and with the Hobby-Eberly Telescope in Texas.

Not a typical dying massive star

As it turned out, SN 2026gzf was not your typical dying massive star. Researchers were surprised to find no evidence of a gamma-ray burst or relativistic jet following the explosion. This is even more unexpected because the explosion itself was not weak at all. In fact, its characteristics match well with other supernovae that did produce gamma-ray bursts.

Brendan O’Connor, an astronomer and McWilliams Fellow at Carnegie Mellon University (CMU) and lead author of one of the papers presenting the analysis, published in The Astrophysical Journal Letters, combined the telescope data with observations from NASA’s Chandra X-ray Observatory (CXO) and the NRAO’s Karl G. Jansky Very Large Array (VLA) radio observatory to reveal the full nature of the event.

“SN 2026gzf looks remarkably similar to other energetic supernovae that have been linked to gamma-ray bursts before. Yet multi-wavelength follow-up observations using the most sensitive facilities found no evidence of a jet or an afterglow that is typically seen in those events,” says O’Connor. “One possibility is that a jet was initially present, but ‘choked,’ either by the surface of the star or by material surrounding it.”

Another piece of the puzzle came from the spectra, the fingerprint of light emitted by the supernova and the stars in the galaxy around it. Using LMU’s share of the Hobby-Eberly Telescope, the team obtained an integral field spectrum, an image in which every pixel splits its light into a rainbow, revealing detailed information about its source. “What we found in the spectrum is that the star that exploded had been born from a cloud of pristine gas - mostly hydrogen, with only about 15% of the metals our Sun and local environment contain,” explains Malte Busmann, a graduate student at LMU and co-author of the study, adding, “Well those metals are being added right now. Just four days after the shock breakout, we’re already catching the first glimpses of metals forged by the dying star being flung outward in all directions.”

The site of the explosion is indeed one of the least metal-enriched environments known for this type of supernova. Low-metallicity environments are often thought to help massive stars retain the rotation needed to launch fast jets, yet SN 2026gzf produced no typical gamma-ray-burst jet. The Hobby-Eberly Telescope observations therefore show that low metallicity alone cannot determine whether a dying star successfully produces a gamma-ray burst.

"When a massive star forms from such almost pristine gas, we expect it to eject roughly half of its original mass before it eventually explodes. So this fits with the interpretation of the jet being choked by material surrounding the star" says Joachim Puls, expert on massive stars and their outflows at LMU.

With an exceptionally faint X-ray shock breakout, combined with the absence of the fast-moving jets that typically power gamma-ray bursts, EP260321a/SN 2026gzf acts as a unique bridge between ordinary, non-relativistic supernova shock breakouts and the far more extreme, relativistic explosions that generate gamma-ray bursts.

This discovery establishes that energetic broad-lined Type Ic supernovae do not always produce a gamma-ray burst, a bright relativistic shock breakout, and suggests that massive stars can die through a wider range of pathways than previously recognized.

A glimpse into the future of time-domain astronomy

Together with spectra obtained with CMU’s share in the Southern African Large Telescope and the Dark Energy Spectroscopic Instrument, and images taken by the Dark Energy Camera and Rubin Observatory that LMU participates in, and the Zwicky Transient Facility, a high-fidelity picture of the event emerged. Additional late-time observations have been approved with the James Webb Space Telescope to further reveal the inner workings of the explosion, its geometry, and ejecta composition.

“This sequence of observations offers a glimpse into the future of time-domain astronomy. By coordinating large, repeated sky surveys with smaller, dedicated telescopes, we can learn so much more from the surprises the Universe has in store for us,” says Xander Hall, a graduate student at CMU and second author of the study.