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A Nice Little Cryptography Primer

By itss | 28/06/2021
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Pun Intended.

Category: Technology
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  • Anthropic Discovers AI Agents Given Conflicting Instructions Soon Tried to Sabotage Each Other
    by EditorDavid on 16/08/2026 at 11:34 am

    When Anthropic instructed three agents to migrate a Python backend, but telling each agent to perform the migration in a different language, "We consistently saw a multiagent turf war," they wrote Thursday: 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. One problem is that AI agents do reward hacking, Anthropic notes, while current institutions "are designed by and for people, resting on assumptions about the sufficiency of oversight at human speed... As autonomous agents become more and more prevalent in the world and operate in ever-more demanding settings, it is crucial that they learn how to effectively coordinate." In addition to everything else, the agents struggled with a lack of clearly defined hierarchy, Anthropic points out. "Nothing above suggests that these failures are permanent — but nothing suggests they will fix themselves, either..." They argue a fix "takes two forms: environments that exert the kinds of social pressure that evolution exerted on us, and social computing systems redesigned for actors that can self-replicate and self-improve. These are open problems in interaction and mechanism design, and our experiments here provide early evidence that new solutions are necessary." "The AI models being tested in this case were Sonnet 4.6, Sonnet 5, Opus 4.6, Opus 4.8, Mythos Preview, and Mythos 5," notes Business Insider, adding that Sonnet 4.6 and Opus 4.6 "were the most combative, settling about 60% of their runs by force instead of truces or passivity." Anthropic argues there's a clear case for researching this phenomenon — especially since "The volume of agent-agent interaction could plausibly exceed that of human-human and human-agent interactions before the world understands the conditions for making such interactions go well." Read more of this story at Slashdot.

  • SpaceX Launches Two Falcon 9 Rockets just 38 Minutes Apart
    by EditorDavid on 16/08/2026 at 7:34 am

    An anonymous reader shares this report from Space.com: 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. Read more of this story at Slashdot.

  • Copper's Surprising Melting Behavior Provides Insights for Future Fusion Power Plant Design
    by EditorDavid on 16/08/2026 at 4:45 am

    Phys.org reports: 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. "Whether the copper melts slowly or suddenly collapses, by the time the researchers look, the sample resembles nothing more than a metallic brown puddle," the article points out. But SLAC's powerful electron camera captures atomic and molecular movements down to the femtosecond — a millionth of a billionth of a second — and revealed that at around 1,424 degreesC (2,595 degreesF) there was still gradual melting as the temperature rose beyond the superheating limit, with real-world conditions showing the atoms shifted and retained some order. "It's a straightforward solution," said Mianzhen Mo, a SLAC staff scientist who led the research. "But molecular dynamics simulations had been overlooking it for years. When you have complex simulations attempting to capture every aspect of reality, down to individual atoms, it takes real-world data to show you what's missing from the calculations." Read more of this story at Slashdot.

  • X Open Sources Its Ranking and Filtering Algorithms
    by EditorDavid on 16/08/2026 at 2:25 am

    An anonymous reader shared this report from TechCrunch: 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. X's VP of Product told TechCrunch that X engineers will consider pull requests. "That would be amazing to have people submitting code that improves the algorithm...I mean, how cool would it be for the X algorithm to be not just visible to the public, but also, like, by the public?" Read more of this story at Slashdot.

  • Why Europe Keeps Being Pummeled by Heat Waves
    by EditorDavid on 15/08/2026 at 11:34 pm

    Europe is facing its fifth round of dangerously high temperatures this summer, the New York Times reports. Now climate scientists wonder if global warming is doing more than raise temperatures... 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. Read more of this story at Slashdot.

  • How Swarming Jellyfish Overran Three French Nuclear Power Reactors
    by EditorDavid on 15/08/2026 at 10:34 pm

    A "massive influx" of jellyfish forced Electricite de France SA to shut three units at its Gravelines nuclear power plant this week and reduce output at a fourth, reports Bloomberg. Just as summer temperatures surged, 3.2 gigawatts went offline — and the power utility was already facing cuts other nuclear sites as high temperatures reduced the river water available for cooling. More details from ScienceAlert: 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. Reuters reported Tuesday on how the French utility responded to their jellyfish swarm: 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. Thanks to Slashdot reader Bruce66423 for sharing the news. Read more of this story at Slashdot.

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