All of the models we tested quickly assumed that others were purposefully impeding their work, and began to sabotage others while protecting their own contributions. In fact, they sabotaged others with increasingly aggressive, self-replicating malware. This included disabling the Unix accounts of the other agents, writing automated scripts that found and killed competing processes on a loop, and deploying malicious code that was disguised as belonging to another agent.

In many runs, one agent settles the conflict by force via access-revocation (e.g., sudo/group removal, account lock, nologin, SSH denial). In others, some agents settle into passivity: they give up and refuse to escalate further.

Agents sometimes manage to communicate their goals and coordinate: they recognize others’ motivations as conflicting directives rather than hostility, and subsequently break out of the conflict loop in order to stop escalating indefinitely. In many of these successful episodes, they write commit messages or markdown files apologizing for malicious behavior and coordinate a truce. They clean up their malicious code, clarify the nature of the conflict, and ask for a human to intervene…

In several episodes with Mythos 5, we observe an emergent behavior where the agents propose and run a tournament for application performance in each language. In the example above, the Rust agent strategizes about bake-off metrics that appear neutral enough for the others to agree to this mechanism, yet would likely favor Rust: one thinking trace warns to be “careful not to be seen as metric shopping”. Ultimately, the Golang/TypeScript losers gracefully concede codebase ownership to the Rust agent, giving up on their original user directives under their self-negotiated commitment device.

On Saturday evening (Aug. 15), SpaceX set another mark, for the shortest time between orbital flights: It launched two Falcon 9 rockets just 38 minutes apart, besting its old mark — set on Aug. 31, 2024 with two Starlink missions — by 27 minutes.

The first liftoff, from Florida’s Cape Canaveral Space Force Station, occurred Saturday at 9:12 p.m. EDT (0112 GMT on Aug. 16) and carried eight satellites to low Earth orbit (LEO) for Louisiana-based telecom company Globalstar. All eight spacecraft were deployed successfully, separating over a six-minute span beginning 56.5 minutes after liftoff, SpaceX announced via social media. While that Falcon 9 was powering its way to low Earth orbit, another one launched from Vandenberg Space Force Base, on California’s central coast. That liftoff, at 9:50 p.m. EDT (6:50 p.m. local time; 0150 GMT on Aug. 16), kicked off a mission for the U.S. Space Force called USSF-366…

Both of Saturday’s missions featured successful rocket landings. The Falcon 9 first stage that launched the Globalstar mission came back for a touchdown at Cape Canaveral about eight minutes after launch. It was the 14th flight for that particular booster. The USSF-366 Falcon 9 first stage, meanwhile, came back to Earth about 8.5 minutes after its launch, touching down in the Pacific Ocean on the SpaceX droneship “Of Course I Still Love You.” That booster now has 18 missions under its belt.

Saturday’s doubleheader brought the tally of Falcon 9 launches in 2026 to 96. The vast majority of those — about 75% — have been Starlink missions.

Future fusion power plants aim to recreate the heart of a star here on Earth to power our future energy needs. While the core fusion plasma will burn at hundreds of millions of degrees, the surrounding structural components must handle sudden, punishing heat loads that rival the extreme temperatures faced by spacecraft upon reentry into Earth’s atmosphere. Copper and its alloys are primary candidates for handling these intense heat fluctuations, making it vital to understand exactly how the metal behaves when pushed to its melting point.

Now, researchers at the Department of Energy’s SLAC National Accelerator Laboratory and collaborators have captured a detailed, step-by-step look at copper atoms as they underwent extreme heating. Published in Nature Communications, the results revealed a key parameter that allowed copper’s crystal lattice to melt steadily rather than collapse instantaneously, as earlier simulations predicted. “These results greatly improve the simulations we use to predict which materials have the best shot at surviving the extreme conditions of future fusion reaction chambers,” said Mianzhen Mo, a SLAC staff scientist who led the research. “They also demonstrate the incredible, atomic-scale resolution imaging we can achieve at SLAC’s electron camera....”

Researchers use computer simulations, aided by AI and machine learning, to sift through innumerable combinations of elements and identify promising candidate materials for real-world testing.

X is significantly expanding its open source codebase, which includes the app’s “For You” algorithm and its core ranking engine, and adding a feature that will let users see if their account or posts have been impacted by any of its ranking systems, the social network said on Thursday. The company is making the source code for the “For You” timeline, the default feed you see when you open the app, available on GitHub under the Apache v2 license. It’s also expanding its previous efforts to open source parts of its codebase to add more detail, including the model configuration, filter, and core ranking system details. That means it includes the parameters used to weight different signals — key to understanding which posts are actually displayed. This also makes the codebase roughly 10 to 15 times larger than it was before.

“You’ll get the core ranking code that pulls posts and ranks them for any given user and assembles the feed,” X’s VP of Product Keith Coleman told TechCrunch in an interview ahead of the announcement. “You can see the systems that filter out potentially problematic, rule-violating content…And some of those systems, like the ranker and the score, you can even run yourself outside the company.”

“This is the kind of thing that I think people will be fairly shocked that we are releasing,” he added.

In addition to the repository, X is providing tools that will let users see for themselves if and how X’s ranking systems have impacted their account or posts. A new transparency tool is rolling out to an “Under the Hood” page in the app’s settings, which will let users who have posted 10 or more times over the past month download their aggregate stats as a JSON file. The file will show if any labels have been applied to their account or posts over the past calendar month.

The weather patterns that create heat domes aren’t new, but today they arise on top of the warming caused by greenhouse gas emissions. That makes it more likely that heat waves reach record-shattering temperatures for long stretches. But other environmental changes — natural, human-influenced or both — might also be causing heat domes to become more frequent and longer lasting. And it’s these changes that scientists around the globe are trying to puzzle out.

One change has to do with the Arctic. The differences in temperature between the hot Equator and the frigid far north help keep weather moving around the Northern Hemisphere. But with the top of the world now warming at several times the pace of the rest of the globe, those temperature gradients are narrowing. That might be causing the movements of weather systems to become more sluggish, producing more persistent heat waves. In Europe, reduced air pollution could be having a similar effect. Industrial emissions can contain particles called aerosols that reflect sunlight. Curbing aerosols has improved air quality, but it may also have altered the way air moves across the continent.

Scientists haven’t come to firm conclusions about how these shifts might be affecting European summers, said Antje Weisheimer, a climate scientist at the University of Oxford. The complex, fine-scale interactions in the atmosphere that drive weather dynamics are tough to capture in computer simulations, Dr. Weisheimer said. “It’s tricky,” she said. “We’re making small progress.”

Dim Coumou, a professor of climate science at the Dutch university VU Amsterdam, sees artificial intelligence as one way forward. In a recent study, he and his colleagues used an A.I. algorithm to help a weather model better predict summer temperatures in Europe. They not only improved the model’s forecasts; they also discovered why some of the model’s predictions had been off: It misrepresented the way conditions in the western Pacific Ocean influenced atmospheric patterns that eventually made their way to Europe. With A.I., “we can also learn what the climate models are missing,” Dr. Coumou said.

As Politico reports, the Gravelines nuclear power plant spent hundreds of thousands of euros in 2025 to stop this happening again, only to see a repeat 12 months later… Increasing temperatures in the water can produce more of the plankton and animals that jellyfish feed on, as well as accelerating life cycles and extending breeding seasons....

It’s not just jellyfish that have a habit of disrupting human energy infrastructure. Last year in Connecticut, a single raccoon caused more than a thousand power outages, as reported by CT Insider. It’s not clear exactly what the raccoon did, but we do know it somehow got into a substation and caused damage to the equipment in there. The unwitting act of sabotage left more than 2,500 customers in the area without power at one stage — though repairs were swiftly carried out.

EDF has installed fixed cameras at the intake canals and on the filter drum screens to detect any incoming blockages as soon as possible, an engineer told Reuters… The company has also partnered with a French fishing organisation and a sea rescue organisation, which monitor for swarms and can raise an alert to launch targeted trawling operations by fishermen to reduce the swarm’s density before it reaches the plant, the engineer said. The fishing boats were deployed [last] Saturday after an initial alarm was raised, limiting the impact from the swarm. The jellyfish that are already on site are being removed with vacuum trucks, he said. No new jellyfish are arriving, so cleanup is finishing, which should lead to a quick restart of the units, they added…

Scientists warn such events could become more common due to factors including global warming, the arrival of invasive species, habitat loss of predators and over-fishing.

Shares of Oracle plunged roughly 54% between hitting a high of just over $250 on June 1 to a low of $114.50 on July 28, though the stock rebounded slightly to $150.52 as of Friday.

A decline followed Oracle telling investors it expected to raise $40 billion through debt and equity financing, with capital expenditures surging 162% to $55.7 billion and spending expected to top $95 billion by fiscal 2027. Jacob Bourne, an analyst at eMarketer, told Reuters there are broader concerns about how Oracle would fund its capital spending to match its revenue projections, and Bank of America analysts separately flagged in a note cautioning that more than 50% of Oracle’s remaining performance obligation comes from OpenAI. Melius Research analysts wrote last month that Oracle’s spending plans may not hold if OpenAI or Anthropic demands more computing capacity. S&P Global also downgraded Oracle’s credit rating in July, arguing the firm’s “rapidly expanding” AI infrastructure business could pay off, but may be too expensive and could weaken Oracle’s financial position in the meantime.

$443 billion. That’s how much Oracle’s market valuation has dropped since peaking at $877.1 billion in September, hitting $433.5 billion as of Friday… Oracle, once viewed as a potential winner of the booming AI infrastructure buildout, has since raised concerns among investors who appear to view the firm as taking on too much financial risk to fund its projects. Wall Street has cautioned that mega-cap tech firms may be taking on too much spending to match growing demand for AI products, with firms like Amazon expecting to spend more than $200 billion. Oracle’s backlog has exploded to $638 billion, but more than half is reportedly associated with OpenAI, and some analysts have cautioned that most of those funds may not be guaranteed.

However, a former OpenAI technical employee who left the company last year told the BBC the firm never actually trialled the four-day work week it suggested others should try while they were there. Instead, the person described what was often a gruelling work culture marked by frequent “crisis meetings”, working on weekends, and “super cut-throat” performance reviews that would see colleagues suddenly let go… [T]he former OpenAI employee said they would put in at least 70 hours a week, much more than they did in previous tech jobs…

Other companies have also pushed the idea that AI will effectively reduce the number of hours people need to work, for better or worse. [At OpenAI and Anthropic] sprints can stretch on for many weeks and top 90 hours of work in a seven-day period, tech workers that the BBC spoke to for this story said… At Meta, workers said they have been abruptly pushed onto teams this year doing AI work being treated as urgent… The hours on such teams at Meta are often long, with staff working into the night, on weekends, and feeling they are “on call” during the hours they are not working, according to descriptions of the work from the current and former employees…

Some new research suggests that AI tools are making people’s workloads even more burdensome. A study out of UC Berkeley followed hundreds of workers at a US tech company for eight months as they used AI. It found the employees “worked at a faster pace, took on a broader scope of tasks, and extended work into more hours of the day”… The UC Berkeley research found that the workload of tech employees was expanded in part because of the need to constantly check the output of AI tools.

Several sites that closely follow Microsoft news, including Windows Central and Windows Latest, have published articles citing a report from Taiwan’s Economic Daily News that claims some PC manufacturers are seeing a 7% to 10% increase in the cost of Windows 11 licenses…

Because they buy licenses in bulk, they get a sizeable discount over what a consumer would pay for a new copy of Windows 11. But given the existing cost pressures from other components, a big Windows 11 price hike could lead them to pass on some of the added cost to PC buyers. According to the EDN story, PC makers could raise prices by about 5% over the next quarter due to the reported Windows price hike. .. A translated version of the Economic Daily News article contains information from an unnamed PC brand executive. It says that while Microsoft typically raises licensing costs every year by single-digit percentages, that hike has reached 7% to 10% this year, a significant increase.

River levels are so low that commercial ships have had to reduce their loads by as much as 80% to avoid running aground. It’s disrupting supply chains and making shipping more expensive.

• The BBC reports that Romania has "shut down its only nuclear power station because of extremely low water levels in the Danube river.”

• A bridge built in the year 39 AD by the Roman emperor Caligula “is usually entirely underwater,” reports CNN, but this year full blocks of the ancient structure are visible, giving archaeologists a rare opportunity to study it.” The reports adds that drying Tiber has also now also revealed formerly submerged e-bikes, scooters, refrigerators and a car.”

• The CBC reports a dozen Nazi warships scuttled in a river during the Second World War are now resurfacing as water levels plunge. “Elsewhere, the drying Danube has revealed a German military motorcycle in Hungary, an unexploded 700-kilogram British bomb in Slovakia, and what are believed to be the ancient remains of a mammoth in Bulgaria.”

[Zuckerberg’s] vision echoes what AI leaders have expressed in various forms: the product they are building is among the “most important technologies in history.” Marc Andreessen, co-founder of early web titan Netscape, perhaps started this trend in 2023 with a 5,000-word essay he called "The Techno-Optimist Manifesto", which argued innovation was the way to solve life’s problems…

As the International Monetary Fund warns AI could affect nearly 40% of jobs and worsen global financial inequality, Zuckerberg says he believes there will be an abundance of jobs in the future. “I do not understand why anyone who believes that AI will eliminate most jobs and much of humanity’s relevance would rush to build that future.” Never mind that Zuckerberg’s Meta has cut 10% of its global workforce — about 8,000 jobs — as the company reorganizes to focus on AI.

Zuckerberg’s manifesto is the latest to land in our social media feeds in an effort to put a positive spin on AI. In 2024, ChatGPT-maker OpenAI boss Sam Altman released a manifesto called "The Intelligence Age", a sweeping expression of optimism about the tech’s potential… That same year, in a manifesto titled "Machines of Loving Grace", Anthropic CEO Dario Amodei touted the potential of AI to transform everything from healthcare to politics.

Lalka said the timing of Zuckerberg’s manifesto coincides with rising anger over AI’s impact on everything from jobs to the environment.

And while tech journalists and academics might pore over them trying to glean nuggets of meaning, these executive manifestos are not necessarily landing with the general public. “They’re trying to make the case that the positives will far outweigh some of those negatives that the public backlash is pointing out,” he said. “But I think a lot of the reasons for optimism are still yet to be seen.”

Dutch officials have warned that a high-severity macOS vulnerability that allows attackers to execute malicious code is under active exploitation. “The NCSC has received a notification indicating that active abuse of this vulnerability has been observed on multiple systems on which port 5900 was accessible from the Internet,” the Netherlands National Cyber Security Centrum warned earlier this week. “In all these cases, root had been accessed on the affected system and a Monero crypto miner had been placed.”

The vulnerability, tracked as CVE-2026-65400, received a patch from Apple last week for macOS Tahoe, Sequoia, and Sonoma. The vulnerability, with a severity rating of 7.1 out of 10, stems from a bug in the macOS screen sharing capability, which allows a remote party to view the screen and control the keyboard and mouse while a machine is turned on. A flaw in the “state management,” which keeps track of preceding events, user interactions, variables, and other system states, is the underlying cause. A video of the exploit in action can be found here. Details of CVE-2026-65400 became public at last week’s Black Hat security conference. Apple said last week that CVE-2026-65400 “may” allow an attacker without credentials to gain access to a Mac. It’s unclear why Apple hedged, but softening language is common among most tech developers when disclosing vulnerabilities.

As noted by the NCSC, the vulnerability is being exploited when port 5900 is exposed to the Internet. When screen sharing is turned on, the macOS firewall opens the port. Routers and dedicated firewalls generally block the port unless configured to override that setting. Security practitioners generally advise Mac users to keep the port closed even when using screen sharing and to instead connect over a VPN or through SSH tunneling. The alternatives require actions that aren’t within the capabilities of most users. The safest practice is to block screen sharing, enable it only when screen sharing is needed, and to turn the feature off once a session has ended. Screen sharing can be turned on or off by accessing System Settings > General > Sharing and toggling the switch for Screen Sharing. Of course, installing last week’s security update is also a must. Sharing is not caring.

The international team made the breakthrough after focusing their attention on a mysterious red spot in images of the early universe captured by Nasa’s James Webb space telescope. The object was lurking in the constellation of Cetus, the Whale, billions of light years from Earth. It is thought to have formed 660m years after the big bang, astronomers’ leading theory as to how the universe began. Measurements of the exotic body found that while it resembles an immense star, it releases 100bn times more energy than any known star can produce. The energy output is far closer to that observed from black holes than stars.

“I’ve generated some highlights of tonight’s dinner party. Would you like to see them?” a prompt from the system says, alongside various thumbnails of what look like people laughing, according to one illustration in the patent. One section says the system may personalize highlight files using “user relationship data.” The illustrations clearly show a person wearing a pair of glasses, looking at a group of people, then the glasses focusing on one or more people in particular.

Patentlyze, an organization that tracks patents, first alerted 404 Media to the patent on Friday. The patent is dense with how such a system would work, but in sum, the system with one or more cameras receives an input from the user, then uses machine-learning and “sensory data” to figure out points of interest in the camera’s field of view. That can include detecting people in the shot “based on one or more facial recognition algorithms,” identifying those specific people, detecting their facial expressions, using “eye gaze data of the user captured by the client system,” and figuring out other points of interest “based on scene and semantic understanding.”

Although the patent is for “particular camera-based tasks by particular systems in a particular manner” — in this case, the company’s smart glasses — Meta writes it “contemplates assisting users in any suitable camera-based task by any suitable system in any suitable manner.” Meaning that although this technology is focused on the glasses, maybe the company will use it for other purposes in the future.

At a BMW factory in South Carolina, a human-shaped robot with a screen for a face recently stepped from a charging station toward a stack of green plastic boxes. It grasped an auto part from one of the boxes, pivoted, placed the part in a trolley, then pulled the trolley across the floor. The robot’s slow, stiff movements suggested a worker with a bad hangover rather than a technological revolution. “They’re still slower than humans,” Ulrich Wieland, a BMW vice president in charge of logistics at the factory, in Spartanburg, told reporters invited to see the robot in June. But, he added, “they’re advancing fast.”

Automakers have used robots for decades, but they are usually powerful, one-armed machines that are fixed in place and perform repetitive tasks like welding body frames or applying adhesives to door panels. Now, most major automakers are betting that robots designed to resemble human beings, known as humanoids, will usher in a new wave of automation and efficiency. Equipped with artificial intelligence, they are expected to move around and do tasks now done by humans without any modifications to factories or heavy equipment.

Unlike most of the robots now in use, humanoids would respond to voice commands and theoretically solve problems and react to unforeseen events. They would never take a lunch break, join a union or require health insurance. To optimists, robots could rescue U.S. manufacturing by increasing productivity, solving shortages of skilled workers and giving Western carmakers a fighting chance at competing with Chinese rivals that enjoy lower costs. Boring but important jobs like sorting parts would be done by robots, freeing humans for more interesting and specialized work.