"Planetary scientists want to search for biosignatures in what they believe was once a Martian mud lake," reports Space.com: After scientists carefully studied what they believe are desiccated remnants of an equatorial mud lake on Mars, their study of Hydraotes Chaos suggests a buried trove of water surged onto the surface. If researchers are right, then this flat could become prime ground for future missions seeking traces of life on Mars... More generally, scientists suggest surface water on Mars froze over about 3.7 billion years ago as the atmosphere thinned and the surface cooled. But underground, groundwater might still have remained liquid in vast chambers. Moreover, life forms might have abided in those catacombs — leaving behind traces of their existence. Only around 3.4 billion years ago did that system of aquifers break down in Hydraotes Chaos, triggering floods of epic proportions that dumped mountains' worth of sediment onto the surface, the study suggests. Future close-up missions could someday examine that sediment for biosignatures...

Alexis Rodriguez, a senior scientist at the Planetary Science Institute in Arizona, and his colleagues pored over images of Hydraotes Chaos taken by NASA's Mars Reconnaissance Orbiter in search of more clues. In the midst of the chaos terrain's maelstrom lies a calm circle of relatively flat ground. This plain is pockmarked with cones and domes, with hints of mud bubbling from below — suggesting that sediment did not arrive via a rushing flash flood, but instead rose from underneath. Based on simulations, the authors suggest Hydraotes Chaos overlaid a reservoir of buried biosignature-rich water — potentially in the form of thick ice sheets.

Ultimately — potentially from the Red Planet's internal heat melting the ice — that water bubbled up to the surface and created a muddy lake. As the water dissipated, it would have left behind all those tantalizing biosignatures. Curiously, that water might have remained underground even after those megafloods. In fact, the authors' results suggest the sediment on the surface of this mud lake dates from only around 1.1 billion years ago: long after most of Mars's groundwater ought to have flooded out, and certainly long after Mars was habitable. With that timeline in mind, Rodriguez and colleagues plan to analyze what lies under the surface of the lake. That, Rodriguez tells Space.com, would allow scientists to establish when in Martian history the planet might have hosted life.
Rodriguez tells Space.com that this region is now "under consideration" for testing with an under-development NASA instrument called Extractor for Chemical Analysis of Lipid Biomarkers in Regolith (EXCALIBR) — that could test extraterrestrial rocks for biomarkers like lipids.

In 1999 cybersecurity pundit Bruce Schneier answered questions from Slashdot's readers.

24 years later on his personal blog, Schneier is still offering his insights. Last month Schneier said that warnings about millions of vacant cybersecurity positions around the world never made sense to me" — and then shared this alternate theory. From the blog of cybersecurity professional Ben Rothke: [T]here is not a shortage of security generalists, middle managers, and people who claim to be competent CISOs. Nor is there a shortage of thought leaders, advisors, or self-proclaimed cyber subject matter experts. What there is a shortage of are computer scientists, developers, engineers, and information security professionals who can code, understand technical security architecture, product security and application security specialists, analysts with threat hunting and incident response skills. And this is nothing that can be fixed by a newbie taking a six-month information security boot camp....

In fact, security roles are often not considered entry-level at all. Hiring managers assume you have some other background, usually technical before you are ready for an entry-level security job. Without those specific skills, it is difficult for a candidate to break into the profession. Job seekers learn that entry-level often means at least two to three years of work experience in a related field.
Rothke's post offers two conclusions:

• "Human resources needs to understand how to effectively hire information security professionals. Expecting an HR generalist to find information security specialists is a fruitless endeavor at best."

• "So is there really an information security jobs crisis? Yes, but not in the way most people portray it to be."

A user writes: Multiple outlets are reporting that Apple TV Plus has cancelled Jon Stewart's popular show The Problem with Jon Stewart, reportedly over editorial disagreements with regards to planned stories on the People's Republic of China and AI. Fans and haters of Apple will both recall that Apple recently made changes to AirDrop, one of the few effective means Chinese dissidents and protesters had for exchanging information off-grid at scale, and will ask why Apple is apparently not only willing, but eager, to carry water for the PRC, overriding both human rights and practical business concerns in the process. "Apple approached Stewart directly and expressed its need for the host and his team to be 'aligned' with the company's views on topics discussed," reports The Verge, citing The Hollywood Reporter. "Rather than falling in line when Apple threatened to cancel the show, Stewart reportedly decided to walk."

Long-time Slashdot reader SonicSpike shared the Washington Post's speculation about the possibility of a gigantic solar storm leaving millions without phone or internet access, and requiring months or years of rebuilding: The odds are low that in any given year a storm big enough to cause effects this widespread will happen. And the severity of those impacts will depend on many factors, including the state of our planet's magnetic field on that day. But it's a near certainty that some form of this catastrophe will happen someday, says Ian Cohen, a chief scientist who studies heliophysics at the Johns Hopkins Applied Physics Laboratory.
Long-time Slashdot reader davidwr remains skeptical. "I've only heard of two major events in the last 1300 years, one estimated to be between A. D. 744 and A. D. 993, and the other being the Carrington Event in 1859.

But efforts are being made to improve our readiness, reports the Washington Post: To get ahead of this threat, a loose federation of U.S. and international government agencies, and hundreds of scientists affiliated with those bodies, have begun working on how to make predictions about what our Sun might do. And a small but growing cadre of scientists argue that artificial intelligence will be an essential component of efforts to give us advance notice of such a storm...

At present, no warning system is capable of giving us more than a few hours' notice of a devastating solar storm. If it's moving fast enough, it could be as little as 15 minutes. The most useful sentinel — a sun-orbiting satellite launched by the U.S. in 2015 — is much closer to Earth than the sun, so that by the time a fast-moving storm crosses its path, an hour or less is all the warning we get. The European Space Agency has proposed a system to help give earlier warning by putting a satellite dubbed Vigil into orbit around the Sun, positioned roughly the same distance from the Earth as the Earth is from the Sun. It could potentially give us up to five hours of warning about an incoming solar storm-enough time to do the main thing that can help preserve electronics: Switch them all off.

But what if there were a way to predict this better, by analyzing the data we've got? That's the idea behind a new, AI-powered model recently unveiled by scientists at the Frontier Development Lab — a public-private partnership that includes NASA, the U.S. Geological Survey, and the U.S. Department of Energy. The model uses deep learning, a type of AI, to examine the flow of the solar wind, the usually calm stream of particles that flow outward from our sun and through the solar system to well beyond the orbit of Pluto. Using observations of that solar wind, the model can predict the "geomagnetic disturbance" an incoming solar storm observed by sun-orbiting satellites would cause at any given point on Earth, the researchers involved say. This model can predict just how big the flux of the Earth's magnetic field will be when the solar storm arrives, and thus how big the induced currents in power lines and undersea internet cables will be...

Already, the first primitive ancestor of future AI-based solar-weather alert systems is live. The DstLive system, which debuted on the web in December 2022, uses machine learning to take data about the state of Earth's magnetic field and the solar wind and translate both into a single measure for the entire planet, known as DST. Think of it as the Richter scale, but for solar storms. This number is intended to give us an idea of how intense a storm's impact will be on earth, an hour to six hours in advance.

Unfortunately, we may not know how useful such systems are until we live through a major solar storm.

Black Parrot (Slashdot reader #19,622) pointed out a historic anniversary this week: On October 6, 1923, Edwin Hubble got a photo of Andromeda that showed that it contained a variable star, and therefore was an actual galaxy, ending the Great Debate over whether the universe consisted of anything beyond our own galaxy.

Unless you're more than 100 years old you grew up with a completely different understanding of the universe than anyone who lived before. Even Einstein did not know about it when he proposed the theory of general relativity.

It was later in the decade before Hubble discovered that the universe is expanding.
A century later, the European Space Agency was announcing... A very rare, strange burst of extraordinarily bright light in the universe just got even stranger â" thanks to the eagle-eye of the NASA/ESA Hubble Space Telescope. The phenomenon, called a Luminous Fast Blue Optical Transient (LFBOT), flashed onto the scene where it wasnâ(TM)t expected to be found, far away from any host galaxy. Only Hubble could pinpoint its location. The Hubble results suggest astronomers know even less about these objects than previously thought by ruling out some possible theories.
Bill Kendrick (Slashdot reader #19,287) writes: Edwin Hubble's discovery — thanks to a Cepheid Variable star — that the "Andromeda Nebula" was actually an entire galaxy 2.5 million light years away... NASA's Astronomy Photo of the Day for today celebrates this with an image of the original photo plate from October 6, 1923. Notice the "N" (for nova) crossed off, and "VAR!" (for variable) next to the star!

The discovery of Cepheids, and the important fact that their brightening and dimming was regular, and could be used to determine a star's intrinsic brightness, was thanks to Henrietta Swan Leavitt about a decade earlier.

David Butler's "How Far Away Is It?" series has an excellent episode on Andromeda on YouTube.

An anonymous reader quotes a report from Motherboard: A man who admitted attempting to assassinate Queen Elizabeth II with a crossbow after discussing his plan with an AI-powered chatbot has been sentenced to 9 years in prison for treason. It's the UK's first treason conviction in more than 40 years. Jaswant Singh Chail, who was 19 at the time of his arrest on Christmas Day, 2021, scaled the walls of Windsor Castle's grounds with a mask and a loaded high-power crossbow. He said his intent was, as a British Sikh, to assassinate the Queen in a Star Wars-inspired plan to avenge the 1919 Jallianwalla Bagh massacre, a colonial-era atrocity during British rule in India. Prosecutors said that Chail was encouraged to undertake this plot after discussing it at length with an AI-powered chatbot that egged him on and bolstered his resolve. [...] Chail is currently being held at Broadmoor high-security hospital and will remain there until he is psychologically well enough to serve his sentence.

ZDNet calls it "a deep meditation on what can ultimately be achieved with computers" and "the single most important unsolved problem in computer science," with implications for both cryptography and quantum computing. "The question: Does P = NP?"

"Now, that effort has enlisted the help of generative AI." In a paper titled "Large Language Model for Science: A Study on P vs. NP," lead author Qingxiu Dong and colleagues program OpenAI's GPT-4 large language model using what they call a Socratic Method, several turns of chat via prompt with GPT-4. (The paper was posted this month on the arXiv pre-print server by scientists at Microsoft, Peking University, Beihang University in Beijing, and Beijing Technology and Business University.) The team's method amounts to taking arguments from a prior paper and spoon-feeding them to GPT-4 to prompt useful responses.

Dong and team observe that GPT-4 demonstrates arguments to conclude that P does not, in fact, equal NP. And they claim that the work shows that large language models can do more than spit back vast quantities of text, they can also "discover novel insights" that may lead to "scientific discoveries," a prospect they christen "LLMs for Science...."

Through 97 prompt rounds, the authors coax GPT-4 with a variety of requests that get into the nitty-gritty of the mathematics of P = NP, prepending each of their prompts with a leading statement to condition GPT-4, such as, "You are a wise philosopher," "You are a mathematician skilled in probability theory" — in other words, the now familiar game of getting GPT-4 to play a role, or, "persona" to stylize its text generation. Their strategy is to induce GPT-4 to prove that P does not, in fact, equal NP, by first assuming that it does with an example and then finding a way that the example falls apart — an approach known as proof by contradiction...

[T]he authors argue that their dialogue in prompts shows the prospect for large language models to do more than merely mimic human textual creations. "Our investigation highlights the potential capability of GPT-4 to collaborate with humans in exploring exceptionally complex and expert-level problems," they write.

Long-time Slashdot reader Tablizer writes: Chrome's spell checker doesn't list the proper option for "devine" or "preditor". Soundex would match them and is relatively simple to implement, but most browsers allegedly use the Hunspell algorithm. However, Hunspell doesn't handle incorrect vowels well.

Browsers could offer a "More spelling options" menu item to bring up a wider dialog using alternative algorithms, such as Soundex. Until then, can anyone recommend good spelling plugins?

71-year-old Mark Evanier is a legendary comic book/TV writer. Today he posted on his personal blog that "Forty years ago, I spent about six days (cumulative) of my life writing the pilot script and small-b bible for a Saturday morning cartoon series called Dungeons & Dragons...

"I feel like I have now spent more than six days (cumulative) being interviewed about this series." It went on CBS on September 17, 1983 and lasted three seasons. Do not believe those who claim it was driven from the airwaves by pressure groups who saw satanic subtext in the series. It went off for the same reason most shows go off: Because the ratings were declining and — rightly or wrongly — the brass at the network didn't think it would have enough viewers to sustain another season. Yes, there were protests about its content but not many and CBS, at least in those days, was pretty good about ignoring such outcries if — and this is always a Big If — the viewers seem to want whatever is being outcried about.
From Wikipedia: The level of violence was controversial for American children's television at the time, and the script of one episode, "The Dragon's Graveyard", was almost canceled because the characters contemplated killing their nemesis, Venger. In 1985, the National Coalition on Television Violence demanded that the FTC run a warning during each broadcast stating that Dungeons & Dragons had been linked to real-life violent deaths.
The show ultimately ran for a total of 27 episodes. The blog post continues: It was a good show because of good writers, good producers, good artists, good voice talent, good everything...and I was mostly a spectator to all that goodness, having opted not to stick with it. Still, thanks to the gent who was my agent at the time, my name was seen for a micro-second in the credits each week so I get more kudos than I probably earned...

Quite recently, I sat for this video podcast with a fine interviewer and a major fan of the series, Heath Holland. It's almost an hour and we talked about some other things but it's mostly about Dungeons & Dragons...
The podcaster notes that the cartoon's six adventurers even made a cameo in 2022's live-action Dungeons & Dragons movie, Honor Among Thieves — and several other companies are still celebrating the cartoon. Hasbro recently released a line of action figures based on the cartoon, while IDW has released a comic book mini-series called Dungeons & Dragons: Saturday Morning Adventures.

In the series six children are transported from an amusement park's Dungeon's & Dragons ride into the game's realm, where a kindly Dungeon Master helps them battle various villains and monsters as they search for a way home. More lore about the series from Wikipedia: A final unproduced episode would have served as both a conclusion to the story and as a re-imagining of the show, had it been picked up for a fourth season. However, it was canceled before the episode was made. The script has since been published online and was performed as an audio drama as a special feature for the BCI Eclipse DVD edition of the series... A fan-made animated version of the finale appeared online in 2020 [according to TheGamer.com].

Earlier this year, Singapore-based embedded security researcher yeokm1 built a ChatGPT client for MS-DOS.

Now they're back with a new project: HDMI is a relatively modern video connector we take for granted on modern PCs and monitors. Now vintage PCs can join in the fun too with a native connection to modern HDMI monitors without any additional adapter.

Two years ago, I learned of an open-source project called Graphics Gremlin by Eric Schlaepfer who runs the website Tubetime.us. It is an 8-bit ISA graphics card that supports display standards like Color Graphics Adapter (CGA) and Monochrome Display Adapter (MDA). CGA and MDA are display standards used by older IBM(-compatible) PCs in the 1980s. The frequencies and connectors used by CGA and MDA are no longer supported by modern monitors hence it is difficult for older PCs of the 1980s era to have modern displays connected to them without external adapters. Graphics Gremline addresses this problem by using techniques like scan doubling (for CGA) and increasing the vertical refresh rate (for MDA) then outputing to a relatively newer but still old VGA port.

I fabricated and assembled the design then installed it into my IBM5155... I decided to modify the Graphics Gremlin design so it can connect natively to an external HDMI monitor and service the internal Composite-based CRT at the same time.
The post concludes triumphantly with a photo of their IBM 5155 running the CGA Compatibility Tester displaying the color palette.

Star Trek: The Animated Series was a half-hour Saturday morning cartoon that premiered exactly one half century ago — yesterday. You can watch its opening credits sequence on YouTube — with its strange 1970s version of the theme song. CBS's YouTube channel also offers clips from various episodes.

Starting in 1973, it ran for two seasons — a total of just 22 episodes. But the BBC notes it kept Star Trek in people's minds after the original series had been cancelled in 1969: While The Original Series had struggled in the ratings during its initial run, the show thrived in syndication, and created the phenomenon of fan conventions (think Comic-con in the present day). Because of this, studios were interested in more Star Trek, but there was a problem: the sets had been scrapped, the costumes were gone, and it would have been cost-prohibitive to rebuild everything from scratch. NBC settled on a different approach: an animated series.

According to The Fifty-Year Mission by Mark Altman and Edward Gross (an oral history of Star Trek), Gene Roddenberry wasn't overly interested in an animated show in and of itself. However, he was willing to go along with it because he saw it as a stepping stone to another live-action show or a feature film. An animated show would energise fans, he thought, so he agreed on the condition that he would have full creative control of The Animated Series. After a fight, the network gave in. The full, regular cast returned, with the exception of Walter Koenig's Pavel Chekov, who was cut for budget reasons...

[I]t was very much conceived of as a continuation of The Original Series. Some of the episodes were direct sequels, such as More Tribbles, More Trouble, which is a continuation of the classic The Trouble with Tribbles, and featured the return of Cyrano Jones... [Another episode was a sequel to The City on the Edge of Forever.] Dorothy (DC) Fontana led a group of writers from the original show who mostly wrote for a traditional, adult Star Trek audience. That's why the show didn't catch on — while it was well-received by critics, it might have done better in prime time. The show won a Daytime Emmy for best children's series, but it was cancelled after two years because of low ratings. Roddenberry then moved on to work on another live-action series, called Phase II, which would eventually become Star Trek: The Motion Picture...

Whatever is decided regarding "the canon", The Animated Series sits firmly within Star Trek's guiding ethos: Gene Roddenberry's vision for a utopian future where humans coexist peacefully with aliens as part of a Federation, and there's no poverty or war.

Vanity Fair revisits the many warning signs about OceanGate's Titan submersible prior to an implosion on June 18th that killed all five passengers onboard.

A professional expedition leader tells their reporter that "This tragedy was predicted. It was avoidable. It was inevitable." As the world now knows, Stockton Rush touted himself as a maverick, a disrupter, a breaker of rules. So far out on the visionary curve that, for him, safety regulations were mere suggestions. "If you're not breaking things, you're not innovating," he declared at the 2022 GeekWire Summit. "If you're operating within a known environment, as most submersible manufacturers do, they don't break things. To me, the more stuff you've broken, the more innovative you've been." In a culture that has adopted the ridiculous mantra "move fast and break things," that type of arrogance can get a person far. But in the deep ocean, the price of admission is humility — and it's nonnegotiable...

In December 2015, two years before the Titan was built, Rush had lowered a one third scale model of his 4,000-meter-sub-to-be into a pressure chamber and watched it implode at 4,000 psi, a pressure equivalent to only 2,740 meters. The test's stated goal was to "validate that the pressure vessel design is capable of withstanding an external pressure of 6,000 psi — corresponding to...a depth of about 4,200 meters." He might have changed course then, stood back for a moment and reconsidered. But he didn't. Instead, OceanGate issued a press release stating that the test had been a resounding success because it "demonstrates that the benefits of carbon fiber are real."
OceanGate's director of marine operations later issued a Quality Control Inspection Report filled with warnings: These included missing bolts and improperly secured batteries, components zip-tied to the outside of the sub. O-ring grooves were machined incorrectly (which could allow water ingress), seals were loose, a highly flammable, petroleum-based material lined the Titan's interior... Yet even those deficiencies paled in comparison to what Lochridge observed on the hull. The carbon fiber filament was visibly coming apart, riddled with air gaps, delaminations, and Swiss cheese holes — and there was no way to fix that short of tossing the hull in a dumpster...

Rush's response was to fire Lochridge immediately, serve him and his wife with a lawsuit (although Carole Lochridge didn't work at OceanGate or even in the submersible industry) for breach of contract, fraud, unjust enrichment, and misappropriation of trade secrets; threaten their immigration status; and seek to have them pay OceanGate's legal fees.
The article also tells a story about OceanGate's 240-foot dive to the wreck of the Andrea Doria in 2016. The article claims that Rush disregarded safety instructions, then "landed too close, got tangled in the current, managed to wedge the sub beneath the Andrea Doria's crumbling bow, and descended into a full-blown panic..."

The article's author marvels that five years ago, "I didn't yet know how reckless, how heedless, how insane the Titan was." They'd once even considered booking a trip on the OceanGate's submersible — until receiving this advice from the chief pilot of the University of Hawaii's two deep-sea submarines. "Do not get into that sub. He is going to have a major accident."

Thanks to Slashdot reader AleRunner for sharing the article.

An anonymous reader quotes a report from TechCrunch: Companies increasingly see the value in mining their data for deeper insights. According to a NewVantage survey, 97.6% of major worldwide organizations are focusing investments into big data and AI. But challenges stand in the way of executing big data analytics. One recent poll found that 65% of organizations feel they have "too much" data to analyze. Google's proposed solution is BigQuery Studio, a new service within BigQuery, its fully managed serverless data warehouse, that provides a single experience to edit programming languages including SQL, Python and Spark to run analytics and machine learning workloads at "petabyte scale." BigQuery Studio is available in preview as of this week.

"BigQuery Studio is a new experience that really puts people who are working on data on the one side and people working on AI on the other side in a common environment," Gerrit Kazmaier, VP and GM of data and analytics at Google, told TechCrunch in a phone interview. "It basically provides access to all of the services that those people need to work -- there's an element of simplification on the user experience side." BigQuery Studio is designed to enable users to discover, explore, analyze and predict data. Users can start in a programming notebook to validate and prep data, then open that notebook in other services, including Vertex AI, Google's managed machine learning platform, to continue their work with more specialized AI infrastructure and tooling.

With BigQuery Studio, teams can directly access data wherever they're working, Kazmaier says. And they have added controls for "enterprise-level" governance, regulation and compliance. "[BigQuery Studio shows] how data is being generated to how it's being processed and how it's being used in AI models, which sounds technical, but it's really important," he added. "You can push down code for machine learning models directly into BigQuery as infrastructure, and that means that you can evaluate it at scale."

Physicists have observed neutrinos originating "from the sun, cosmic rays, supernovae and other cosmic objects, as well as particle accelerators and nuclear reactors," writes Phys.org. But one remaining goal was observing neutrinos inside "collider" particle accelerators (which direct two particle beams).

It's now been accomplished using neutrino detectors located at CERN's Large Hadron Collider (LHC) in Switzerland by two distinct research collaborations:

- FASER (Forward Search Experiment)
- SND (Scattering and Neutrino Detector)@LHC

Phys.org argues the two achievements "could open important new avenues for experimental particle physics research. " The results of their two studies were recently published in Physical Review Letters. "Neutrinos are produced very abundantly in proton colliders such as the LHC," Cristovao Vilela, part of the SND@LHC Collaboration, told Phys.org. "However, up to now, these neutrinos had never been directly observed. The very weak interaction of neutrinos with other particles makes their detection very challenging and because of this they are the least well studied particles in the Standard Model of particle physics...."

"Particle colliders have existed for over 50 years, and have detected every known particle except for neutrinos," Jonathan Lee Feng, co-spokesperson of the FASER Collaboration, told Phys.org. "At the same time, every time neutrinos have been discovered from a new source, whether it is a nuclear reactor, the sun, the Earth, or supernovae, we have learned something extremely important about the universe. As part of our recent work, we set out to detect neutrinos produced at a particle collider for the first time...

"Because these neutrinos have high fluxes and high energies, which makes them far more likely to interact, we were able to detect 153 of them with a very small, inexpensive detector that was built in a very short time," Feng explained. "Previously, particle physics was thought to be divided into two parts: high energy experiments, which were required to study heavy particles, like top quarks and Higgs bosons, and high intensity experiments, which were required to study neutrinos. This work has shown that high energy experiments can also study neutrinos, and so has brought together the high-energy and high-intensity frontiers."

The neutrinos detected by Feng and the rest of the FASER collaboration have the highest energy ever recorded in a laboratory environment.... Cristovao Vilela, part of the SND@LHC Collaboration, said "The observation of collider neutrinos opens the door to novel measurements which will help us understand some of the more fundamental puzzles of the Standard Model of particle physics, such as why there are three generations of matter particles (fermions) that seem to be exact copies of each other in all aspects except for their mass. Furthermore, our detector is placed in a location which is a blind spot for the larger LHC experiments. Because of this, our measurements will also contribute to a better understanding of the structure of colliding protons."

llvm-mos adapts the popular LLVM compiler to target the MOS 6502 processor (the 1980s microprocessor used in early home computing devices like the Apple II and the Commodore 64). So developer Onno Kortman used it to cross-compile semu, a "minimalist RISC-V system emulator capable of running Linux the kernel and corresponding userland." And by the end of the day, Kortman has Linux running on a Commodore 64.

Long-time Slashdot reader johnwbyrd shared the link to Kortman's repository. Some quotes: "But does it run Linux?" can now be finally and affirmatively answered for the Commodore C64...!

It runs extremely slowly and it needs a RAM Expansion Unit (REU), as there is no chance to fit it all into just 64KiB.

It even emulates virtual memory with an MMU....

The screenshots took VICE a couple hours in "warp mode" (activate it with Alt-W) to generate. So, as is, a real C64 should be able to boot Linux within a week or so.

The compiled 6502 code is not really optimized yet, and it might be realistic to squeeze a factor 10x of performance out of this. Maybe even a simple form of JIT compilation? It should also be possible to implement starting a checkpointed VM (quickly precomputed on x86-64) to avoid the lengthy boot process...

I also tested a minimal micropython port (I can clean it up and post it on github if there is interest), that one does not use the MMU and is almost barely remotely usable with lots of optimism at 100% speed.
A key passage: I have not tested it on real hardware yet, that's the next challenge .. for you. So please send me a link to a timelapse video of an original unit with REU booting Linux :D
Its GitHub repository has build and run instructions...

"Hundreds of monster hunters equipped with drones and infrared cameras have gathered in the Scottish Highlands with a singular goal," reports the Washington Post: "to be the ones to finally find the Loch Ness monster." But it won't be easy. On Saturday, the rain was lashing and the skies were gray, hampering visibility in the search for the folkloric creature, affectionately known as Nessie. The mythical monster, which legend says lives in a freshwater lake in Scotland, has eluded capture, or any definitive proof of existence, since its first recorded sighting in the 6th century.

But trying to find Nessie is an age-old tradition, and the volunteer hunters who showed up Saturday are dedicated — and better equipped than those who came before. The search for the monster, organized over two days by the local Loch Ness Center in Inverness, is the biggest in a half-century, and certainly the most high-tech. Some people drove hours to be here, while others flew in from overseas... The Loch Ness Center launched the event — which it called "The Quest" — in partnership with Loch Ness Exploration, a research group that studies the lake and other unexplained phenomena. It put out a call for volunteer hunters "fascinated by the legendary tales of Nessie" and with "a passion for unraveling mysteries and exploring the extraordinary."

The center was later forced to close online registrations for volunteers "due to an overwhelming surge in demand," according to the website...

Some hunters with drones are equipping them with infrared cameras to seek out heat spots in the lake — as well as sending them underwater. They've also come armed with a hydrophone to pick up acoustic signals 60 feet below the loch's surface — although nobody really knows what the monster would sound like. Other participants can join several surface-watch locations staged by organizers or cruise the 23-mile-long lake by boat. They have been asked to document everything they see — from surface movements to weather changes — and are getting lessons on how to capture potential sightings on their phones.
The BBC notes that "Almost 300 have signed up to monitor a live stream from the search, which is taking place on Saturday and Sunday."

NPR has some audio excerpts of past witnesses who said the've seen the monster — and some of the current crop of monster hunters. (While Wikipedia has its own detailed debunking of the famous Loch News monster "Surgeon's Photo".) But the Washington Post sums up the whole story with this two-word quote from a woman who'd traveled from France for a Loch Ness vacation.

"I believe."

Professors now fear that ignoring or discouraging the use of AI "will be a disservice to students and leave many behind when entering the workforce," reports CNN: According to a study conducted by higher education research group Intelligent.com, about 30% of college students used ChatGPT for schoolwork this past academic year and it was used most in English classes. Jules White, an associate professor of computer science at Vanderbilt University, believes professors should be explicit in the first few days of school about the course's stance on using AI and that it should be included it in the syllabus. "It cannot be ignored," he said. "I think it's incredibly important for students, faculty and alumni to become experts in AI because it will be so transformative across every industry in demand so we provide the right training."

Vanderbilt is among the early leaders taking a strong stance in support of generative AI by offering university-wide training and workshops to faculty and students. A three-week 18-hour online course taught by White this summer was taken by over 90,000 students, and his paper on "prompt engineering" best practices is routinely cited among academics. "The biggest challenge is with how you frame the instructions, or 'prompts,'" he said. "It has a profound impact on the quality of the response and asking the same thing in various ways can get dramatically different results. We want to make sure our community knows how to effectively leverage this." Prompt engineering jobs, which typically require basic programming experience, can pay up to $300,000.

Although White said concerns around cheating still exist, he believes students who want to plagiarize can still seek out other methods such as Wikipedia or Google searches. Instead, students should be taught that "if they use it in other ways, they will be far more successful...." Some schools are hiring outside experts to teach both faculty and students about how to use AI tools.

Long-time Slashdot reader theodp writes: Measuring, tracking, and benchmarking developer productivity has long been considered a black box. It doesn't have to be that way." So begins global management consulting firm McKinsey in Yes, You Can Measure Software Developer Productivity... "Compared with other critical business functions such as sales or customer operations, software development is perennially undermeasured. The long-held belief by many in tech is that it's not possible to do it correctly—and that, in any case, only trained engineers are knowledgeable enough to assess the performance of their peers.

"Yet that status quo is no longer sustainable."

"All C-suite leaders who are not engineers or who have been in management for a long time will need a primer on the software development process and how it is evolving," McKinsey advises companies starting on a developer productivity initiative. "Assess your systems. Because developer productivity has not typically been measured at the level needed to identify improvement opportunities, most companies' tech stacks will require potentially extensive reconfiguration. For example, to measure test coverage (the extent to which areas of code have been adequately tested), a development team needs to equip their codebase with a tool that can track code executed during a test run."

Before getting your hopes up too high over McKinsey's 2023 developer productivity silver bullet suggestions, consider that Googling to "find a tool that can track code executed during a test run" will lead you back to COBOL test coverage tools from the 80's that offered this kind of capability and 40+ year-old papers that offered similar advice (1, 2, 3). A cynic might also suggest considering McKinsey's track record, which has had some notable misses.

An anonymous reader quotes a report from Ars Technica: Late last week, MSN.com's Microsoft Travel section posted an AI-generated article about the "cannot miss" attractions of Ottawa that includes the Ottawa Food Bank, a real charitable organization that feeds struggling families. In its recommendation text, Microsoft's AI model wrote, "Consider going into it on an empty stomach." Titled, "Headed to Ottawa? Here's what you shouldn't miss!," (archive here) the article extols the virtues of the Canadian city and recommends attending the Winterlude festival (which only takes place in February), visiting an Ottawa Senators game, and skating in "The World's Largest Naturallyfrozen Ice Rink" (sic).

As the No. 3 destination on the list, Microsoft Travel suggests visiting the Ottawa Food Bank, likely drawn from a summary found online but capped with an unfortunate turn of phrase: "The organization has been collecting, purchasing, producing, and delivering food to needy people and families in the Ottawa area since 1984. We observe how hunger impacts men, women, and children on a daily basis, and how it may be a barrier to achievement. People who come to us have jobs and families to support, as well as expenses to pay. Life is already difficult enough. Consider going into it on an empty stomach."

That last line is an example of the kind of empty platitude (or embarrassing mistaken summary) one can easily find in AI-generated writing, inserted thoughtlessly because the AI model behind the article cannot understand the context of what it is doing. The article is credited to "Microsoft Travel," and it is likely the product of a large language model (LLM), a type of AI model trained on a vast scrape of text found on the Internet.

The judge overseeing Apple's "batterygate" iPhone throttling lawsuit has cleared the way for payments to be sent out. MacRumors reports: Apple in 2020 agreed to pay $500 million to settle the "batterygate" lawsuit, which accused the company of secretly throttling older iPhone models. The class action lawsuit was open to U.S. customers who had an iPhone 6, 6 Plus, 6s, 6s Plus, 7, or 7 Plus running iOS 10.2.1 or iOS 11.2 prior to December 21, 2017. [...] Apple ultimately apologized for its lack of communication and dropped the price of battery replacements to $29 through the end of 2018. iPhone owners eligible for a payout would have needed to submit a claim back in 2020, and submissions were open through October 6, 2020. Those who submitted a claim back then will be eligible for a payment, which will be around $65 per claimant.