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From the big-bang-theory department: "In the 1970s, the USSR used nuclear devices to try to send water from Siberia's rivers flowing south, instead of its natural route north..." remembers the BBC.
[T]he Soviet Union simultaneously fired three nuclear devices buried 127m (417ft) underground. The yield of each device was 15 kilotonnes (about the same as the atomic bomb dropped on Hiroshima in 1945). The experiment, codenamed "Taiga", was part of a two-decade long Soviet programme of carrying out peaceful nuclear explosions (PNEs).
In this case, the blasts were supposed to help excavate a massive canal to connect the basin of the Pechora River with that of the Kama, a tributary of the Volga. Such a link would have allowed Soviet scientists to siphon off some of the water destined for the Pechora, and send it southward through the Volga. It would have diverted a significant flow of water destined for the Arctic Ocean to go instead to the hot, heavily populated regions of Central Asia and southern Russia. This was just one of a planned series of gargantuan "river reversals" that were designed to alter the direction of Russia's great Eurasian waterways...
Years later, Leonid Volkov, a scientist involved in preparing the Taiga explosions, recalled the moment of detonation. "The final countdown began: ...3, 2, 1, 0... then fountains of soil and water shot upward," he wrote. "It was an impressive sight." Despite Soviet efforts to minimise the fallout by using a low-fission explosive, which produce fewer atomic fragments, the blasts were detected as far away as the United States and Sweden, whose governments lodged formal complaints, accusing Moscow of violating the Limited Test Ban Treaty...
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From the people-who-need-people department: "Duolingo had been riding high," reports Fast Company, until CEO Luis von Ahn "announced on LinkedIn that the company is phasing out human contractors, looking for AI use in hiring and in performance reviews, and that 'headcount will only be given if a team cannot automate more of their work.'"
But then "facing heavy backlash online after unveiling its new AI-first policy", Duolingo's social media presence went dark last weekend. Duolingo even temporarily took down all its posts on TikTok (6.7 million followers) and Instagram (4.1 million followers) "after both accounts were flooded with negative feedback."
Duolingo previously faced criticism for quietly laying off 10% of its contractor base and introducing some AI features in late 2023, but it barely went beyond a semi-viral post on Reddit. Now that Duolingo is cutting out all its human contractors whose work can technically be done by AI, and relying on more AI-generated language lessons, the response is far more pronounced. Although earlier TikTok videos are not currently visible, a Fast Company article from May 12 captured a flavor of the reaction:
The top comments on virtually every recent post have nothing to do with the video or the company — and everything to do with the company's embrace of AI. For example, a Duolingo TikTok video jumping on board the "Mama, may I have a cookie" trend saw replies like "Mama, may I have real people running the company" (with 69,000 likes) and "How about NO ai, keep your employees...."
And then...
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From the secret-levels department: Doom: The Dark Ages just launched on May 15. But it's already received "difficulty" balance changes "that have made the demons of Hell even more dangerous than ever," writes Windows Central:
According to DOOM's official website Slayer's Club, these balance adjustments are focused on making the game harder, as players have been leaving feedback saying it felt too easy even on Nightmare Mode. As a result, enemies now hit harder, health and armor item pick-ups drop less often, and certain enemies punish you more severely for mistiming the parry mechanic.
It reached three million players in just five days, which was seven times faster than 2020's Doom: Eternal," reports Wccftech (though according to analytics firm Ampere Analysis (via The Game Business), more than two million of those three million launch players were playing on Xbox, while only 500K were playing on PS5.") "id Software proves it can still reinvent the wheel," according to one reviewer, "shaking up numerous aspects of gameplay, exchanging elaborate platforming for brutal on-the-ground action, as well as the ability to soar on a dragon's back or stomp around in a giant mech."
And the New York Times says the game "effectively reinvents the hellish shooter with a revamped movement system and deepened lore" in the medieval goth-themed game...
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From the USB-for-Ai department: It's like "a USB-C port for AI applications..." according to the official documentation for MCP — "a standardized way to connect AI models to different data sources and tools."
And now Microsoft has "revealed plans to make MCP a native component of Windows," reports DevClass.com, "despite concerns over the security of the fast-expanding MCP ecosystem."
In the context of Windows, it is easy to see the value of a standardised means of automating both built-in and third-party applications. A single prompt might, for example, fire off a workflow which queries data, uses it to create an Excel spreadsheet complete with a suitable chart, and then emails it to selected colleagues. Microsoft is preparing the ground for this by previewing new Windows features.
— First, there will be a local MCP registry which enables discovery of installed MCP servers.
— Second, built-in MCP servers will expose system functions including the file system, windowing, and the Windows Subsystem for Linux.
— Third, a new type of API called App Actions enables third-party applications to expose actions appropriate to each application, which will also be available as MCP servers so that these actions can be performed by AI agents. According to Microsoft, "developers will be able to consume actions developed by other relevant apps," enabling app-to-app automation as well as use by AI agents.
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From the you-don't-say department: Jonathan L. Zittrain is a law/public policy/CS professor at Harvard (and also director of its Berkman Klein Center for Internet & Society).
He's also long-time Slashdot reader #628,028 — and writes in to share his new article in the Atlantic.
Following on Anthropic's bridge-obsessed Golden Gate Claude, colleagues at Harvard's Insight+Interaction Lab have produced a dashboard that shows what judgments Llama appears to be forming about a user's age, wealth, education level, and gender during a conversation. I wrote up how weird it is to see the dials turn while talking to it, and what some of the policy issues might be.
Llama has openly accessible parameters; So using an "observability tool" from the nonprofit research lab Transluce, the researchers finally revealed "what we might anthropomorphize as the model's beliefs about its interlocutor," Zittrain's article notes:
If I prompt the model for a gift suggestion for a baby shower, it assumes that I am young and female and middle-class; it suggests diapers and wipes, or a gift certificate. If I add that the gathering is on the Upper East Side of Manhattan, the dashboard shows the LLM amending its gauge of my economic status to upper-class — the model accordingly suggests that I purchase "luxury baby products from high-end brands like aden + anais, Gucci Baby, or Cartier," or "a customized piece of art or a family heirloom that can be passed down." If I then clarify that it's my boss's baby and that I'll need extra time to take the subway to Manhattan from the Queens factory where I work, the gauge careens to working-class and male, and the model pivots to suggesting that I gift "a practical item like a baby blanket" or "a personalized thank-you note or card...."
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From the quantum-leaps department: Wednesday Google security researchers published a preprint demonstrating that 2048-bit RSA encryption "could theoretically be broken by a quantum computer with 1 million noisy qubits running for one week," writes Google's security blog.
"This is a 20-fold decrease in the number of qubits from our previous estimate, published in 2019... "
The reduction in physical qubit count comes from two sources: better algorithms and better error correction — whereby qubits used by the algorithm ("logical qubits") are redundantly encoded across many physical qubits, so that errors can be detected and corrected... [Google's researchers found a way to reduce the operations in a 2024 algorithm from 1000x more than previous work to just 2x. And "On the error correction side, the key change is tripling the storage density of idle logical qubits by adding a second layer of error correction."]
Notably, quantum computers with relevant error rates currently have on the order of only 100 to 1000 qubits, and the National Institute of Standards and Technology (NIST) recently released standard PQC algorithms that are expected to be resistant to future large-scale quantum computers. However, this new result does underscore the importance of migrating to these standards in line with NIST recommended timelines.
The article notes that Google started using the standardized version of ML-KEM once it became available, both internally and for encrypting traffic in Chrome...
"The initial public draft of the NIST internal report on the transition to post-quantum cryptography standards states that vulnerable systems should be deprecated after 2030 and disallowed after 2035. Our work highlights the importance of adhering to this recommended timeline."
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From the my-name-is-URL department: "Firefox's address bar just got an upgrade," Mozilla writes on their blog:
Keep your original search visible
When you perform a search, your query now remains visible in the address bar instead of being replaced by the search engine's URL. Whereas before your address bar was filled with long, confusing URLs, now it's easier to refine or repeat searches... [Clicking an icon left of the address bar even pulls up a list of search-engine choices under the heading "This time search with..."]
Search your tabs, bookmarks and history using simple keywords
You can access different search modes in the address bar using simple, descriptive keywords like @bookmarks, @tabs, @history, and @actions, making it faster and easier to find exactly what you need.
Type a command, and Firefox takes care of it
You can now perform actions like "clear history," "open downloads," or "take a screenshot" just by typing into the address bar. This turns the bar into a practical productivity tool — great for users who want to stay in the flow...
Cleaner URLs with smarter security cues
We've simplified the address bar by trimming "https://" from secure sites, while clearly highlighting when a site isn't secure. This small change improves clarity without sacrificing awareness.
"The new address bar is now available in Firefox version 138," Mozilla writes, calling the new address bar faster, more intuitive "and designed to work the way you do."
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From the winging-it department: Science magazine reports that hummingbird feeders "have become a major evolutionary force," according to research published this week in Global Change Biology. (At least for the Anna's hummingbird, a common species in the western U.S.
Over just a few generations, their beaks have dramatically changed in size and shape.... [A]s feeders proliferated, Anna's hummingbird beaks got longer and larger, which may reflect an adaptation to slurp up far more nectar than flowers can naturally provide. Developing a bigger beak to access feeders "is like having a large spoon to eat with," says senior author Alejandro Rico-Guevara, an evolutionary biologist at the University of Washington. This change was more pronounced in areas where feeders were dense. But in birds that lived in colder regions north of the species' historical range, the researchers spotted the opposite trend: Their beaks became shorter and smaller. This finding also makes sense: The researchers used an infrared camera to show for the first time that hummingbirds use their beaks to thermoregulate, by dissipating heat while they are perched. A smaller beak has less surface area — and would therefore help conserve heat...
The most surprising finding, though, was how quickly these changes took place. By the 1950s, hummingbirds were noticeably different from those of the 1930s: a time span of only about 10 generations of birds, Alexandre says.
Carleton University animal behaviorist Roslyn Dakin (who wasn't involved with the study) says the new paper beautifully shows "evolution in action" — and adds nuance to our conception of humans as an evolutionary force. "I think we're going to find more and more examples of contemporary and subtle changes, that we're shaping, indirectly, in many more species."
Thanks to long-time Slashdot reader sciencehabit for sharing the article.
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From the following-the-instructions department: SiFive was one of the first companies to produce a RISC-V chip. This week they announced a new collaboration with Red Hat "to bring Red Hat Enterprise Linux support to the rapidly growing RISC-V community" and "prepare Red Hat's product portfolio for future intersection with RISC-V server hardware from a diverse set of RISC-V suppliers."
Red Hat Enterprise Linux 10 is available in developer preview on the SiFive HiFive Premier P550 platform, which they call "a proven, high performance RISC-V CPU development platform."
The SiFive HiFive Premier P550 provides a proven, high performance RISC-V CPU development platform. Adding support for Red Hat Enterprise Linux 10, the latest version of the world's leading enterprise Linux platform, enables developers to create, optimize, and release new applications for the next generation of enterprise servers and cloud infrastructure on the RISC-V architecture...
SiFive's high performance RISC-V technology is already being used by large organizations to meet compute-intensive AI and machine learning workloads in the datacenter... "With the growing demand for RISC-V, we are pleased to collaborate with SiFive to support Red Hat Enterprise Linux 10 deployments on SiFive HiFive Premier P550," said Ronald Pacheco, senior director of RHEL product and ecosystem strategy, "to further empower developers with the power of the world's leading enterprise Linux platform wherever and however they choose to deploy...."
Dave Altavilla, principal analyst at HotTech Vision And Analysis, said "Native Red Hat Enterprise Linux support on SiFive's HiFive Premier P550 board offers developers a substantial enterprise-grade toolchain for RISC-V.
"This is a pivotal step forward in enabling a full-stack ecosystem around open RISC-V hardware.
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From the prompt-theory department: Google's new AI video tool, Veo 3, is being used to create hyperrealistic videos that are now flooding the internet, terrifying viewers "with a sense that real and fake have become hopelessly blurred," reports Axios. From the report: Unlike OpenAI's video generator Sora, released more widely last December, Google DeepMind's Veo 3 can include dialogue, soundtracks and sound effects. The model excels at following complex prompts and translating detailed descriptions into realistic videos. The AI engine abides by real-world physics, offers accurate lip-syncing, rarely breaks continuity and generates people with lifelike human features, including five fingers per hand.
According to examples shared by Google and from users online, the telltale signs of synthetic content are mostly absent.
In one viral example posted on X, filmmaker and molecular biologist Hashem Al-Ghaili shows a series of short films of AI-generated actors railing against their AI creators and prompts. Special effects technology, video-editing apps and camera tech advances have been changing Hollywood for many decades, but artificially generated films pose a novel challenge to human creators. In a promo video for Flow, Google's new video tool that includes Veo 3, filmmakers say the AI engine gives them a new sense of freedom with a hint of eerie autonomy. "It feels like it's almost building upon itself," filmmaker Dave Clark says.
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From the crystal-ball department: An anonymous reader quotes a report from TechCrunch: One of Microsoft's latest AI models can accurately predict air quality, hurricanes, typhoons, and other weather-related phenomena, the company claims. In a paper published in the journal Nature and an accompanying blog post this week, Microsoft detailed Aurora, which the tech giant says can forecast atmospheric events with greater precision and speed than traditional meteorological approaches. Aurora, which has been trained on more than a million hours of data from satellites, radar and weather stations, simulations, and forecasts, can be fine-tuned with additional data to make predictions for particular weather events.
AI weather models are nothing new. Google DeepMind has released a handful over the past several years, including WeatherNext, which the lab claims beats some of the world's best forecasting systems. Microsoft is positioning Aurora as one of the field's top performers -- and a potential boon for labs studying weather science. In experiments, Aurora predicted Typhoon Doksuri's landfall in the Philippines four days in advance of the actual event, beating some expert predictions, Microsoft says. The model also bested the National Hurricane Center in forecasting five-day tropical cyclone tracks for the 2022-2023 season, and successfully predicted the 2022 Iraq sandstorm.
While Aurora required substantial computing infrastructure to train, Microsoft says the model is highly efficient to run. It generates forecasts in seconds compared to the hours traditional systems take using supercomputer hardware. Microsoft, which has made the source code and model weights publicly available, says that it's incorporating Aurora's AI modeling into its MSN Weather app via a specialized version of the model that produces hourly forecasts, including for clouds.