FlashFeed

Full text

A secretive Chinese spacecraft has captured the first-ever close-up photo of one of Earth's temporary "quasi-moons" after arriving there for a potential first-of-its-kind landing.

The space probe is supposed to scoop up samples from the newly imaged space rock and return them to Earth next year. However, the blurry photo and the timing of its release hint that this may be trickier than initially thought.

The Chinese National Space Administration (CNSA) probe, named Tianwen-2, launched from Xichang Satellite Launch Center in southern China on May 28, 2025, according to Live Science's sister site Space.com . Its primary target is Kamo'oalewa , also known as 2016 HO3, a fast-spinning asteroid that is classified as a quasi-satellite of Earth . That means it circles the sun alongside our planet, making it appear as if it were gravitationally bound to Earth when, in fact, it isn't. (This is only a temporary association; Kamo'oalewa will eventually fall out of sync with Earth and drift away from us.)

The CNSA has released minimal information about the parameters and timeline of the Tianwen-2 mission and only shared the first photo of the spacecraft several weeks after its launch. Based on one unverified timeline , Live Science previously reported that the probe had most likely arrived at Kamo'oalewa on June 7. However, Chinese officials have remained tight-lipped about the probe's progress.

But on Monday (July 6), the CNSA finally confirmed that, after a roughly 400-day-long journey spanning more than 600,000 miles (1 million kilometers), Tianwen-2 is now circling Kamo'oalewa, according to the state-run news outlet Xinhua . The agency also revealed that the probe first inserted itself into the asteroid's orbit on June 7, as originally predicted.

This photo of one of Tianwen-2's decagonal solar panels, captured in orbit, was the first image of the probe released by the CNSA. (Image credit: CNSA) The announcement was accompanied by the first clear photograph of Kamo'oalewa, captured at a distance of around 12.5 miles (20 km) from the quasi-moon. The blurry image suggests the space rock is around 130 feet (40 meters) across, according to the South China Morning Post , which is on the lower end of previous estimates that suggested the asteroid was up to 330 feet (100 m) wide.

Initial readings also suggest that Kamo'oalewa is a rubble-pile asteroid, which means it is loosely bound together and has an unstable surface. Until now, researchers were unsure of the asteroid's composition and hoped it had a solid, rocky surface, which would have allowed the spacecraft to attempt a first-of-its-kind landing using an "anchor and drill" technique. (It now seems unlikely that this sampling method will be used.)

The asteroid's small size, fragile composition and fast spin will make it harder for the probe to collect samples from the space rock's surface, even with other tried-and-true techniques. The new image also hints that there are few flat spots on the space rock where the probe could land safely.

"This greatly increases the complexity of the sampling process and the risk of the mission, making it much more difficult," CNSA representatives wrote in a report, according to the South China Morning Post.

Tianwen-2 launched into space May 28, 2025 on board one of China's Long March 3B rockets. (Image credit: VCG/VCG via Getty Images) The unverified mission timeline, which correctly predicted the probe's arrival date, stated that the sampling attempt would commence July 4. However, the fact that this has seemingly not happened yet further suggests that Chinese scientists are struggling to figure out how to collect their desired samples.

CNSA officials wrote that the probe "will progressively conduct more detailed scientific exploration to acquire data on the asteroid's morphology, material composition and internal structure, laying the groundwork for subsequent sample collection operations."

If Tianwen-2 does manage to snag some samples, the probe will release them in a capsule during a flyby of Earth in November 2027, and they will reenter the atmosphere at around 27,000 mph (43,500 km/h). This would make China the third country to successfully collect and return asteroid samples to Earth, following Japan, which returned samples from the asteroid Ryugu in 2020, and the U.S., which acquired material from the space rock Bennu in 2023.

Kamo'oalewa (a.k.a. 2016 HO3) circles Earth but does not orbit our planet. This simulation shows its predicted movements relative to Earth over the next few centuries. (Image credit: NASA/Pheonix7777/Wikimedia) Researchers hope the returned samples will help unravel the secrets of the early solar system and potentially shed light on how key compounds, such as organic molecules and water, ended up on Earth. They may also shed light on the seven other quasi-moons that are currently known to co-orbit the sun with our planet.

RELATED STORIES

China's top-secret 'dragon' space plane just released another unidentified object over Earth

Chinese satellite with robotic 'octopus arm' passes key refueling test in orbit

China launches 'human artificial embryos' to space in bid to see whether reproduction is possible off-world

Some experts previously theorized that Kamo'oalewa may be a fragment of the moon that was knocked loose from our permanent companion by an ancient meteor strike. Others have even attempted to pinpoint which crater the asteroid may have come from and hope that the samples will help confirm their hypothesis.

"I am curious to find out the answer about its origin, since the debate on its [potential] lunar origin is still very open," Marco Fenucci , a mathematician at the European Space Agency's Near-Earth Object Coordination Centre who has co-authored multiple studies on Kamo'oalewa, previously told Live Science. Any returned samples should "definitely give us an answer to this matter," he added.

After its close approach to Earth next year, Tianwen-2 will slingshot farther into the solar system to begin its secondary mission to study 311P/PanSTARRS — a peculiar object beyond Mars that displays characteristics of both comets and asteroids — in 2035.

Full text

Meta has filed a patent for a system that records your voice and surroundings all day, then uses an AI to analyse your mood. The patent’s stated, theoretical goal is for Meta, a company that makes billions of dollars targeting ads at its users based on their data, is to sell users a wearable that tailors workouts for them based on whether they’re happy or sad.

Patentlyze first noticed the patent which was published on July 2 after Meta filed it back in December of 2025. The filing described an “apparatus” that surveilled a user and their surroundings constantly to craft a better workout. “The audible communications may be associated with contextual factors such as time of day, location, user activity, or digital interaction,” the patent said. “The audible communications may be transcribed, and an emotional-state machine learning model may interpret verbal and nonverbal cues to determine emotional indicators.”

According to the filing, Meta needs to know when a user laughs or sighs, where they are physically, and what objects they’re surrounded by. It would even like to know when you’ve taken your meds. “The AI assistant may listen to a user(s) at predefined times to hear various types of communication, such as sighs, laughter, and/or the tone(s) of a voice(s),” the patent said. “The AI assistant may use these inputs to quantify the user's emotional state or generate other insights about the user [...] in another example, the AI assistant may take multiple inputs in in addition to audio inputs (e.g., of a user's voice) to provide a summary of emotional trends based on various inputs (e.g., a happier emotional state associated with a particular time of day or at a time when medication is taken, etc.).”

The more data it has, the patent explains, the better it could understand a user’s moods. “The system increases the precision and reliability of emotional inference by aligning multimodal sensor inputs on synchronized timelines, which creates a novel data structure that supports richer emotional analysis,” it said. “These combined features deliver a technical improvement in automated audio interpretation, enabling continuous emotional monitoring on everyday devices.”

Image via the US Patent Office. The emotional-analyzing AI would need far more than just a user’s words to determine moods over time. A longer description of the hypothetical training data for the AI included “attributes of thousands of objects” such as a user’s books, personal messages, and newspapers. “In some examples, audible communications may include speech (e.g., voice data), sighs, laughter, or other nonverbal sounds associated with an expression(s), an emotion(s), or ideas. In some examples, the audible communications may include the tone(s) of a voice of a user while making the communication(s),” it said.

All this data, Meta says, would be in service of tailoring better workouts. Humans, the patent explained, are simply not as good as a machine for this. “Personal trainers cannot provide the level of precision in guidance, such as correcting a pose and/or body movement,” it said. “These challenges create a need for a practical approach that uses a single device to observe movement, recommend routines, and provide corrective guidance.”

AI lives and dies by its training data. Many of the leading LLMs have already scanned the entire internet and are still hungry for more. Meta’s patented system would give it unprecedented access to the movements, moods, and interactions of its users. Giving the user workout suggestions in return seems a paltry compensation.

A wearable device that records every sound you make and transcribes it for an LLM while monitoring your exact location is a privacy nightmare. It’s also a fear that underpins many people’s concerns about big tech.

A wearable that records your every word and divines your emotions would also, necessarily, record your interactions with other people. Meta has pioneered non-consensual public recording with its smartglasses so it’s not shocking to see it file a patent that suggests it’ll move further into that space.

The last time Meta explicitly pursued user’s emotional data, it horrified people. In 2012, the company then called Facebook conducted a study into “emotional contagion” using Facebook’s newsfeed. Meta altered the feeds of 700,000 users to see if it could make them happy or sad just by tweaking what they saw online. Meta found that it could, in fact, alter people’s moods if it wanted. It did this without informing users they’d been part of an experiment.

Now it’s patented a device that will record your laughter and play it back to you. All in service of crafting the perfect workout routine. “An implementation may show that the user laughs more often on certain days, shows improved mood after life events, or expresses more positive emotion during morning routines. The device may also provide citations to specific audio moments that support the emotional interpretation,” it said.

Meta wants to tell you how you feel and it’ll use your own voice to do it.

Meta did not immediately respond to 404 Media’s request for comment.

Full text

The brain's memory center may come "prewired," rather than being built from scratch after birth, a new study in mice finds.

The research, published in April in the journal Nature Communications , offers a new perspective on a long-standing question in neuroscience: Does the brain begin as a blank slate and build memories by adding connections through experience, or does it come with built-in wiring? The new research focused on the hippocampus , a seahorse-shaped structure deep in the brain that's essential for forming memories.

Rather than supporting either theory directly, the research points to the latter idea but adds a significant twist.

The researchers focused on a region of the hippocampus called cornu ammonis 3 (CA3), which plays a central role in storing and recalling memories. A trait known as plasticity enables neurons within CA3 to continuously strengthen and weaken their connections and thus strengthen or weaken different memories.

The team examined mouse brain tissue collected shortly after birth, during adolescence or during adulthood. They found that early in life, hippocampal networks are densely wired, with many neurons hyperconnected in a seemingly random pattern. As the brain matures, these haphazard networks become sparser yet more structured as connections are pruned. This pruning begins soon after birth, with significant declines in connectivity by adolescence.

The finding discounts the idea that the hippocampus starts out as a blank slate, or "tabula rasa."

"We find, in a nutshell, that the system is not a tabula rasa, as we thought originally, where you can just write information and then at some point, this information fills the system," said study co-author Peter Jonas , a neuroscientist at the Institute of Science and Technology Austria. "Rather, it starts out as a tabula plena [full slate] and then becomes more sparser and specifically connected."​​

This pattern may help to explain why we remember so little from infancy .

Memories are thought to be stored within networks of neurons that fire together, representing specific experiences. In a young brain, however, these connections between neurons, called synapses, behave differently, the study suggests. In young brain tissue, a single input could cause a neuron to fire, the team found, while in mature networks, neurons typically require multiple inputs to fire.

In very young mice, neurons in a region of the hippocampus called CA3 form a dense, highly interconnected network (yellow), with connections that are largely random. (Image credit: Jake Watson / ISTA) Jonas said the team was surprised by not only the early pruning of connections but also how strong those early connections were. "You might think that early in development, you have poor synapses and weak synapses, but we found the opposite," he told Live Science.

This excitability comes at a cost, however: When neurons are activated too easily, different experiences can trigger overlapping patterns of activity. If that overlap is too great, the brain may struggle to distinguish one memory from another. Instead of forming distinct networks, it may generate broader, less-specific memories. In other words, the system is very active but not very precise.

This imprecision may affect behavior, too. For example, rodent studies show that young animals learn to fear an area of a cage where they received a mild shock, freezing when they return to it. But unlike adults, who freeze at that exact location, young animals also have this response in similar environments — so the memory is there, but it's not precise.

As mice mature, the network within CA3 becomes sparser but more organized (blue) with pruning refining the once-dense web of neural connections. (Image credit: Jake Watson / ISTA) As the brain matures, neurons become more selective and require multiple inputs to fire. The result is more distinct, separate networks that translate to specific and stable memories. So in regard to the inability to recall early childhood, it may be that our earliest memories are too poorly defined to be retained in the long term.

The findings are consistent with a growing body of research on how memory develops, said Hauður Freyja Ólafsdóttir, an assistant professor at the Donders Institute for Brain, Cognition and Behaviour at Radboud University in the Netherlands.

"It's exciting on multiple fronts," Ólafsdóttir, who was not involved in the study, told Live Science. "There is plenty of developmental psychology work that suggests that memory becomes more specific with age. And so it's kind of interesting that now, at the circuit level, we're also seeing that the connectivity patterns are becoming sparser."

So what drives brain wiring before birth? That dense, early connectivity may result from a genetically programmed developmental process. Then, after birth, experience refines the wiring, Jonas suggested.

The findings do not rule out the possibility that experiences before birth leave lasting traces in the brain. But Ólafsdóttir thinks those early forms of learning rely on different neural systems than mature hippocampal circuits.

"I'm not disputing that they're there and that they have influence," she said, referencing prenatal experiences. "They leave a trace, let's say, in our brain and probably in our psychology even." But those traces may not resemble the detailed memories formed later in life.

Related stories

Memories aren't static in the brain — they 'drift' over time

The brain stores at least 3 copies of every memory

'As if a shudder ran from its brain to its body': The neuroscientists that learned to control memories in rodents

When asked whether the connections that form before birth represent true memories or are just a byproduct of prenatal development, Jonas said, "The latter is more likely."

The "full slate" may give the brain a crucial head start by enabling neurons to quickly link different types of information, such as sights, sounds and smells. If the brain began as a blank slate, neurons might be too sparsely connected to find each other, making early communication difficult, the study authors think.

By starting with an overconnected network, the hippocampus may ensure that the necessary wiring is already in place, Jonas theorized.

This article was first published May 6, 2026.

See how much you know about the most complex organ in the human body with our brain quiz!

Full text

Credit: Jacob Itamar Cohen

Welcome to Wallpaper Wednesday! In this weekly roundup, we’ll give you a handful of Android wallpapers you can download and use on your phone, tablet, or even your laptop/PC. The images will come from folks here at Android Authority as well as our readers. All are free to use and come without watermarks. File formats are JPG and PNG, and we’ll provide images in both landscape and portrait modes, so they’ll be optimized for various screens.

For the newest walls, as well as all those from previous weeks, check out this Drive link . Want to submit your own? Head to the bottom of this article.