Back in 1976, Mattel Electronics Auto Race became the very first handheld game to use only solid-state electronics, according to Wikipedia. (Its only mechanical elements were its on/off switch and hand-operated controls...) Nearly half a century goes by — until the ancient and broken gizmo reaches long-time Slashdot reader Shayde, who "dove into disassembling the unit and figuring out the problem."

Ironically, at one point his voltimeter stopped working, because...its batteries were dead. But a tri-wing screwdriver reveals the game's beautiful 1976 circuitboard — before the video fast forwards through "an almost comical attempt by me, a systems software engineer, to sauter the connections back onto this 48-year-old connector." (Instead he ends up replacing the machine's 9-volt battery connector...) On his Patreon page, he writes that filming the video "took a stupidly long time to put together." But their Slashdot submission acknowledges that in the end, "Taking it apart and debugging it was fun. (Slight spoiler: I figured out what was wrong, was an easy fix), and the game plays great now!"

Any Slashdot readers have memories of playing Mattel Electronics Auto Race? My one experience felt like that time that a gaming magazine had nine children (ages 9 to 12) try to play old 1970s-era videogames like Pong. ("Wow. The score is tied. It's so exhilarating..." "My line is so beating the heck out of your stupid line...")

With the debut of the Pirate Bay TV series in Sweden, international viewers are finding it surprisingly difficult to pirate. TorrentFreak reports: The series premiered at the on-demand platform of the Swedish national broadcaster SVT a few hours ago. International deals haven't been announced, but pirates can generally get access anyway. Soon after the first two episodes of The Pirate Bay series came out, scene release copies started circulating online. As one would expect.

The Scene group OLLONBORRE, which specializes in Swedish content, was the first to pick the show up. Within minutes, the first 1080p WEB-rips were posted on private scene servers and 720p copies followed a few hours later. Interestingly, pirate releases have yet to make their way to The Pirate Bay. We haven't seen any other copies on other public pirate sites either, which is surprising given the topic of the series.

It's common knowledge that The Scene -- a secretive network of release groups -- prefers to keep its releases private. Therefore, it wasn't happy with The Pirate Bay's public nature and rise to prominence in the early 2003s, which is highlighted in the first episodes of the TV series. However, we expected non-scene release groups would be eager to pick up the show. Apparently that's not the case, yet.

I had the opportunity to interview esteemed programmer Steve Yegge for the SourceForge Podcast to ask him all about AI-powered coding assistants and the future of programming. "We're moving from where you have to write the code to where the LLM will write the code and you're just having a conversation with it about the code," said Yegge. "That is much more accessible to people who are just getting into the industry."

Steve has nearly 30 years of programming experience working at Geoworks, Amazon, Google, Grab and now SourceGraph, working to build out the Cody AI assistant platform. Here's his Wikipedia page. He's not shy about sharing his opinions or predictions for the industry, no matter how difficult it may be for some to hear. "I'm going to make the claim that ... line-oriented programming, which we've done for the last 40, 50 years, ... is going away. It is dying just like assembly language did, and it will be completely dead within five years."

You can watch the episode on YouTube and stream on all major podcast platforms. A transcription of the podcast is available here.

India's government challenged Wikipedia's legal immunity as a tech platform on Tuesday, issuing a notice questioning whether the online encyclopedia should be reclassified as a publisher. The move follows Delhi High Court warnings to suspend Wikipedia's India operations over a defamation case filed by Asian News International. The news agency seeks to unmask contributors who labeled it a "government propaganda tool." Justice Navin Chawla threatened contempt proceedings after Wikipedia cited its lack of physical presence in India to request more time for disclosing user information. The court deemed the site's open editing feature "dangerous."

GitHub released its annual "State of the Octoverse" report this week. And while "Systems programming languages, like Rust, are also on the rise... Python, JavaScript, TypeScript, and Java remain the most widely used languages on GitHub."

In fact, "In 2024, Python overtook JavaScript as the most popular language on GitHub." They also report usage of Jupyter Notebooks "skyrocketed" with a 92% jump in usage, which along with Python's rise seems to underscore "the surge in data science and machine learning on GitHub..." We're also seeing increased interest in AI agents and smaller models that require less computational power, reflecting a shift across the industry as more people focus on new use cases for AI... While the United States leads in contributions to generative AI projects on GitHub, we see more absolute activity outside the United States. In 2024, there was a 59% surge in the number of contributions to generative AI projects on GitHub and a 98% increase in the number of projects overall — and many of those contributions came from places like India, Germany, Japan, and Singapore...

Notable growth is occurring in India, which is expected to have the world's largest developer population on GitHub by 2028, as well as across Africa and Latin America... [W]e have seen greater growth outside the United States every year since 2013 — and that trend has sped up over the past few years.
Last year they'd projected India would have the most developers on GitHub #1 by 2027, but now believe it will happen a year later. This year's top 10?

1. United States
2. India
3. China
4. Brazil
5. United Kingdom
6. Russia
7. Germany
8. Indonesia
9. Japan
10. Canada

Interestingly, the UK's population ranks #21 among countries of the world, while Germany ranks #19, and Canada ranks #36.)

GitHub's announcement argues the rise of non-English, high-population regions "is notable given that it is happening at the same time as the proliferation of generative AI tools, which are increasingly enabling developers to engage with code in their natural language." And they offer one more data point: GitHub's For Good First Issue is a curated list of Digital Public Goods that need contributors, connecting those projects with people who want to address a societal challenge and promote sustainable development...

Significantly, 34% of contributors to the top 10 For Good Issue projects... made their first contribution after signing up for GitHub Copilot.
There's now 518 million projects on GitHub — with a year-over-year growth of 25%...

Long-time Slashdot reader samj — also a long-time Debian developer — tells us there's some opposition to the newly-released Open Source AI definition. He calls it a "fork" that undermines the original Open Source definition (which was originally derived from Debian's Free Software Guidelines, written primarily by Bruce Perens), and points us to a new domain with a petition declaring that instead Open Source shall be defined "solely by the Open Source Definition version 1.9. Any amendments or new definitions shall only be recognized with clear community consensus via an open and transparent process."

This move follows some discussion on the Debian mailing list: Allowing "Open Source AI" to hide their training data is nothing but setting up a "data barrier" protecting the monopoly, disabling anybody other than the first party to reproduce or replicate an AI. Once passed, OSI is making a historical mistake towards the FOSS ecosystem.
They're not the only ones worried about data. This week TechCrunch noted an August study which "found that many 'open source' models are basically open source in name only. The data required to train the models is kept secret, the compute power needed to run them is beyond the reach of many developers, and the techniques to fine-tune them are intimidatingly complex. Instead of democratizing AI, these 'open source' projects tend to entrench and expand centralized power, the study's authors concluded."

samj shares the concern about training data, arguing that training data is the source code and that this new definition has real-world consequences. (On a personal note, he says it "poses an existential threat to our pAI-OS project at the non-profit Kwaai Open Source Lab I volunteer at, so we've been very active in pushing back past few weeks.")

And he also came up with a detailed response by asking ChatGPT. What would be the implications of a Debian disavowing the OSI's Open Source AI definition? ChatGPT composed a 7-point, 14-paragraph response, concluding that this level of opposition would "create challenges for AI developers regarding licensing. It might also lead to a fragmentation of the open-source community into factions with differing views on how AI should be governed under open-source rules." But "Ultimately, it could spur the creation of alternative definitions or movements aimed at maintaining stricter adherence to the traditional tenets of software freedom in the AI age."

However the official FAQ for the new Open Source AI definition argues that training data "does not equate to a software source code." Training data is important to study modern machine learning systems. But it is not what AI researchers and practitioners necessarily use as part of the preferred form for making modifications to a trained model.... [F]orks could include removing non-public or non-open data from the training dataset, in order to train a new Open Source AI system on fully public or open data...

[W]e want Open Source AI to exist also in fields where data cannot be legally shared, for example medical AI. Laws that permit training on data often limit the resharing of that same data to protect copyright or other interests. Privacy rules also give a person the rightful ability to control their most sensitive information — like decisions about their health. Similarly, much of the world's Indigenous knowledge is protected through mechanisms that are not compatible with later-developed frameworks for rights exclusivity and sharing.
Read on for the rest of their response...

"It's that time again," writes USA Today, noting that Sunday morning millions of Americans (along with millions more in Canada, Europe, parts of Australia, and Chile) "will set their clocks back an hour, and many will renew their twice-yearly calls to put an end to the practice altogether..." Experts say the time changes are detrimental to health and safety, but agree that the answer isn't permanent DST. "The medical and scientific communities are unified ... that permanent standard time is better for human health," said Erik Herzog, a professor of biology and neuroscience at Washington University in St. Louis and the former president of the Society for Research on Biological Rhythms...

Springing forward an hour in March is harder on us than falling back in November. The shift in spring is associated with an increase in heart attacks, and car accident rates also go up for a few days after, he said. But the answer isn't permanent daylight saving time, according to Herzog, who said that could be even worse for human health than the twice-yearly changes. By looking at studies of people who live at the easternmost edge of time zones (whose experience is closest to standard time) and people who live at the westernmost edge (more like daylight saving time), scientists can tell that health impacts of earlier sunrises and sunsets are much better. Waking up naturally with the sun is far better for our bodies than having to rely on alarm clocks to wake up in the dark, he said.

Herzog said Florida, where [Senator Marco] Rubio has championed the Sunlight Protection Act, is much less impacted by the negative impacts of daylight saving time because it's as far east and south as you can get in the U.S., while people in a state like Minnesota would have much more time in the dark in the morning.
The article also reminds U.S. readers that "No state can adopt permanent daylight saving time unless U.S. Congress passes a law to authorize it first." Nevertheless... Oklahoma became the most recent state to pass a measure authorizing permanent daylight saving time, pending Congressional approval, in April. Nineteen other states have passed laws or resolutions to move toward daylight saving time year-round, if Congress were ever to allow it, according to the National Conference of State Legislatures...

Only two states and some territories never have to set their clocks forward or backward... [Hawaii and Arizona, except for the Navajo Nation.]

In 1896 the Dow Jones Industrial Average (or DJIA) was created as a kind of proxy indicator for the wider stock market. "A stock is typically added only if the company has an excellent reputation, demonstrates sustained growth and is of interest to a large number of investors," according to a source cited by Yahoo Finance. Its mix of stocks might be informally considered a sign of the times, since it's made up of 30 stocks that according to Wikipedia have been changed only 57 times over the last 128 years.

Wait — make that 58.... CNBC reports that NVIDIA is replacing Intel in the DJIA, "a shakeup to the blue-chip index that reflects the boom in AI and a major shift in the semiconductor industry." Companies including Microsoft, Meta, Google and Amazon are purchasing Nvidia's GPUs, such as the H100, in massive quantities to build clusters of computers for their AI work. Nvidia's revenue has more than doubled in each of the past five quarters, and has at least tripled in three of them. The company has sginaled that demand for its next-generation AI GPU called Blackwell is "insane...."

While Nvidia has been soaring, Intel has been slumping. Long the dominant maker of PC chips, Intel has lost market share to Advanced Micro Devices and has made very little headway in AI. Intel shares have fallen by more than half this year as the company struggles with manufacturing challenges and new competition for its central processors. Intel said in a filing this week that the board's audit and finance committee approved cost and capital reduction activities, including lowering head count by 16,500 employees and reducing its real estate footprint. The job cuts were originally announced in August."
The DJIA will now include four of six tech companies worth $1 trillion — Apple, Microsoft, NVIDIA, and Amazon (which joined in February, replacing the owners of the Walgreens pharmacy chain). The other two trillion-dollar tech companies (not included in the DJIA) are Meta and Alphabet.

Adding NVIDIA to the DJIA will ensure "more representative exposure to the semiconductors industry" within the average, the index's curators told the Washington Post.

And also leaving the DJIA is power-generation company AES (which according to CNBC had a power mix of 54% renewables, 27% natural gas, 17% coal). It will be replaced by Vistra, defined by Wikipedia as America's largest competitive power generator, "with a capacity of approximately 39GW powered by a diverse portfolio including natural gas, nuclear, solar, and battery energy storage facilities." In the 2020 Forbes Global 2000, Vistra Energy was ranked as the 756th-largest public company in the world. The company owns the Moss Landing Power Plant in California which currently (2021) contains the largest battery energy storage system in the world (400-MW/1,600-MWh). As of 2020, the company was ranked as the highest CO2 emitter in the U.S.

Australian mathematicians have proven the famous "infinite monkey theorem" impossible within the universe's lifespan. The theorem suggests monkeys typing randomly would eventually produce Shakespeare's complete works. Scientists Stephen Woodcock and Jay Falletta calculated that even 200,000 chimpanzees typing one character per second until the universe's heat death would fail to reproduce Shakespeare's writings.

A single chimp has only a 5% chance of typing "bananas" in its lifetime, with more complex phrases facing astronomically lower odds. "This finding places the theorem among other probability puzzles and paradoxes... where using the idea of infinite resources gives results that don't match up with what we get when we consider the constraints of our universe," Associate Prof Woodcock was quoted as saying by BBC.

An anonymous reader quotes a report from The Guardian: The cost of cleaning up Sellafield is expected to spiral to 136 billion pounds ($175 billion USD) and Europe's biggest nuclear waste dump cannot show how it offers taxpayers value for money, the public spending watchdog has said. Projects to fix buildings containing hazardous and radioactive material at the state-owned site on the Cumbrian coast are running years late and over budget. Sellafield's spending is so vast -- with costs of more than 2.7 billion pounds a year -- that it is causing tension with the Treasury, the report from the National Audit Office (NAO) suggests. Officials from finance ministry told the NAO it was "not always clear" how Sellafield made decisions, the report reveals. Criticisms of its costs and processes come as the chancellor, Rachel Reeves, prepares to plug a hole of about 40 billion pounds in her maiden budget. Gareth Davies, the head of the NAO, said: "Despite progress achieved since the NAO last reported, I cannot conclude Sellafield is achieving value for money yet, as large projects are being delivered later than planned and at higher cost, alongside slower progress in reducing multiple risks."

He added: "Continued underperformance will mean the cost of decommissioning will increase considerably, and 'intolerable risks' will persist for longer."

David Peattie, the NDA's chief executive, said: "Sellafield is one of the most complex environmental programs in the world. We're proud of our workforce and achievements being made, including the unprecedented retrieval of legacy waste from all four highest hazard facilities. But as the NAO rightly points out there is still more to be done. This includes better demonstrating we are delivering value for money and the wider significant societal and economic benefits through jobs, the supply chain and community investments."

In 2004 Alaa Abd El Fattah answered questions from Slashdot's readers about organizing the first-ever Linux installfest in Egypt.

In 2014 he was arrested for organizing poltical protests without requesting authorization, according to Wikipedia, and then released on bail — but then sentenced to five years in prison upon retrial. He was released in late March of 2019, but then re-arrested again in September by the National Security Agency, convicted of "spreading fake news" and jailed for five years...

Wikipedia describes Abd El-Fattah as an "Egyptian-British blogger, software developer and a political activist" who has been "active in developing Arabic-language versions of software and platforms." But this week an EFF blog post noticed that his released date had recently passed — and yet he was still in prison: It's been 28 days since September 29, the day that should have seen British-Egyptian blogger, coder, and activist Alaa Abd El Fattah walk free. Egyptian authorities refused to release him at the end of his sentence, in contradiction of the country's own Criminal Procedure Code, which requires that time served in pretrial detention count toward a prison sentence. [Human Rights Watch says Egyptian authorities are refusing to count more than two years of pretrial detention toward his time served. Amnesty International has also called for his release.] In the days since, Alaa's family has been able to secure meetings with high-level British officials, including Foreign Secretary David Lammy, but as of yet, the Egyptian government still has not released Alaa...

Alaa deserves to finally return to his family, now in the UK, and to be reunited with his son, Khaled, who is now a teenager. We urge EFF supporters in the UK to write to their MP to place pressure on the UK's Labour government to use their power to push for Alaa's release.
Last month the EFF wrote:: Over 20 years ago Alaa began using his technical skills to connect coders and technologists in the Middle East to build online communities where people could share opinions and speak freely and privately. The role he played in using technology to amplify the messages of his fellow Egyptians — as well as his own participation in the uprising in Tahrir Square — made him a prominent global voice during the Arab Spring, and a target for the country's successive repressive regimes, which have used antiterrorism laws to silence critics by throwing them in jail and depriving them of due process and other basic human rights.

Alaa is a symbol for the principle of free speech in a region of the world where speaking out for justice and human rights is dangerous and using the power of technology to build community is criminalized...

It was originally created back in 2005 by Sun Microsystems for its proprietary Solaris Unix systems, "for troubleshooting kernel and application problems on production systems in real time," explains Wikipedia. "DTrace can be used to get a global overview of a running system, such as the amount of memory, CPU time, filesystem and network resources used by the active processes," explains its Wikipedia entry.

But this week, Gentoo announced: The real, mythical DTrace comes to Gentoo! Need to dynamically trace your kernel or userspace programs, with rainbows, ponies, and unicorns — and all entirely safely and in production?! Gentoo is now ready for that!

Just emerge dev-debug/dtrace and you're all set. All required kernel options are already enabled in the newest stable Gentoo distribution kernel...

Documentation? Sure, there's lots of it. You can start with our DTrace wiki page, the DTrace for Linux page on GitHub, or the original documentation for Illumos. Enjoy!
Thanks to Heraklit (Slashdot reader #29,346) for sharing the news.

The Russian Foreign Ministry says it had been targeted by a large-scale distributed denial-of-service attack (DDoS). "A massive cyberattack from abroad began this morning on the infrastructure of the official website, the Russian Foreign Ministry's portal," said spokeswoman Maria Zakharova. She noted that the ministry regularly encounters similar attacks, but today's attack was "unprecedented in scale." Reuters notes that the attack coincided with the major BRICS summit taking place in the country.

Developing...

An anonymous reader quotes a report from Ars Technica: On Friday, Ward Christensen, co-inventor of the computer bulletin board system (BBS), died at age 78 in Rolling Meadows, Illinois. Christensen, along with Randy Suess, created the first BBS in Chicago in 1978, leading to an important cultural era of digital community-building that presaged much of our online world today. Friends and associates remember Christensen as humble and unassuming, a quiet innovator who never sought the spotlight for his groundbreaking work. Despite creating one of the foundational technologies of the digital age, Christensen maintained a low profile throughout his life, content with his long-standing career at IBM and showing no bitterness or sense of missed opportunity as the Internet age dawned.

"Ward was the quietest, pleasantest, gentlest dude," said BBS: The Documentary creator Jason Scott in a conversation with Ars Technica. Scott documented Christensen's work extensively in a 2002 interview for that project. "He was exactly like he looks in his pictures," he said, "like a groundskeeper who quietly tends the yard." Tech veteran Lauren Weinstein initially announced news of Christensen's passing on Sunday, and a close friend of Christensen's confirmed to Ars that Christensen died peacefully in his home. The cause of death has not yet been announced.

Pior to creating the first BBS, Christensen invented XMODEM, a 1977 file transfer protocol that made much of the later BBS world possible by breaking binary files into packets and ensuring that each packet was safely delivered over sometimes unstable and noisy analog telephone lines. It inspired other file transfer protocols that allowed ad-hoc online file sharing to flourish.

Thursday the Associated Press reported: One of the two companies that manufacture high-purity quartz used for making semiconductors and other high-tech products from mines in a western North Carolina community severely damaged by Hurricane Helene is operating again. Sibelco announced on Thursday that production has restarted at its mining and processing operations in Spruce Pine, located 50 miles (80 kilometers) northeast of Asheville. [Per Wikipedia, its pre-hurricane population was 2,175.] Production and shipments are progressively ramping up to full capacity, the company said in a news release.

"While the road to full recovery for our communities will be long, restarting our operations and resuming shipments to customers are important contributors to rebuilding the local economy," Sibelco CEO Hilmar Rode said... A Spruce Pine council member said recently that an estimated three-quarters of the town has a direct connection to the mines, whether through a job, a job that relies on the mines or a family member who works at the facilities.
An announcement last week from Sibelco attributed its resilience to their long-standing commitment to sustainability, "which includes measures to mitigate the impact of extreme weather events such as Hurricane Helene." Initial assessments indicated their operating facilities sustained only minor damage.

And "the company previously announced that all its employees are safe," Sibelco reaffirmed in its announcement Thursday: Sibelco, with support from its contractors, has been contributing to the local recovery efforts by clearing debris, repairing roads, providing road building materials to the North Carolina Department of Transportation, installing temporary power generators for emergency shelters and local businesses, and working with the town of Spruce Pine to restart water supply to residents.

Additionally, Sibelco has incorporated the Sibelco Spruce Pine Foundation to further support the community's recovery. The company previously announced that it is making an immediate $1 million donation as seed money for the foundation. Anyone interested in learning more or contributing to this initiative should contact the foundation by email or by visiting our website for additional information and donation opportunities.

A group of Wikipedia editors have formed WikiProject AI Cleanup, "a collaboration to combat the increasing problem of unsourced, poorly-written AI-generated content on Wikipedia." From a report: The group's goal is to protect one of the world's largest repositories of information from the same kind of misleading AI-generated information that has plagued Google search results, books sold on Amazon, and academic journals. "A few of us had noticed the prevalence of unnatural writing that showed clear signs of being AI-generated, and we managed to replicate similar 'styles' using ChatGPT," Ilyas Lebleu, a founding member of WikiProject AI Cleanup, told me in an email. "Discovering some common AI catchphrases allowed us to quickly spot some of the most egregious examples of generated articles, which we quickly wanted to formalize into an organized project to compile our findings and techniques."

In many cases, WikiProject AI Cleanup finds AI-generated content on Wikipedia with the same methods others have used to find AI-generated content in scientific journals and Google Books, namely by searching for phrases commonly used by ChatGPT. One egregious example is this Wikipedia article about the Chester Mental Health Center, which in November of 2023 included the phrase "As of my last knowledge update in January 2022," referring to the last time the large language model was updated.

Researchers at BitEnergy AI, Inc. have developed Linear-Complexity Multiplication (L-Mul), a technique that reduces AI model power consumption by up to 95% by replacing energy-intensive floating-point multiplications with simpler integer additions. This method promises significant energy savings without compromising accuracy, but it requires specialized hardware to fully realize its benefits. Decrypt reports: L-Mul tackles the AI energy problem head-on by reimagining how AI models handle calculations. Instead of complex floating-point multiplications, L-Mul approximates these operations using integer additions. So, for example, instead of multiplying 123.45 by 67.89, L-Mul breaks it down into smaller, easier steps using addition. This makes the calculations faster and uses less energy, while still maintaining accuracy. The results seem promising. "Applying the L-Mul operation in tensor processing hardware can potentially reduce 95% energy cost by element wise floating point tensor multiplications and 80% energy cost of dot products," the researchers claim. Without getting overly complicated, what that means is simply this: If a model used this technique, it would require 95% less energy to think, and 80% less energy to come up with new ideas, according to this research.

The algorithm's impact extends beyond energy savings. L-Mul outperforms current 8-bit standards in some cases, achieving higher precision while using significantly less bit-level computation. Tests across natural language processing, vision tasks, and symbolic reasoning showed an average performance drop of just 0.07% -- a negligible tradeoff for the potential energy savings. Transformer-based models, the backbone of large language models like GPT, could benefit greatly from L-Mul. The algorithm seamlessly integrates into the attention mechanism, a computationally intensive part of these models. Tests on popular models such as Llama, Mistral, and Gemma even revealed some accuracy gain on certain vision tasks.

At an operational level, L-Mul's advantages become even clearer. The research shows that multiplying two float8 numbers (the way AI models would operate today) requires 325 operations, while L-Mul uses only 157 -- less than half. "To summarize the error and complexity analysis, L-Mul is both more efficient and more accurate than fp8 multiplication," the study concludes. But nothing is perfect and this technique has a major achilles heel: It requires a special type of hardware, so the current hardware isn't optimized to take full advantage of it. Plans for specialized hardware that natively supports L-Mul calculations may be already in motion. "To unlock the full potential of our proposed method, we will implement the L-Mul and L-Matmul kernel algorithms on hardware level and develop programming APIs for high-level model design," the researchers say.

An anonymous reader shares a report: Wikipedia's "Timeline of the Far Future" is one of my favorite webpages from the internet's pre-slop era. A Londoner named Nick Webb created it on the morning of December 22, 2010. "Certain events in the future of the universe can be predicted with a comfortable level of accuracy," he wrote at the top of the page. He then proposed a chronological list of 33 such events, beginning with the joining of Asia and Australia 40 million years from now. He noted that around this same time, Mars's moon Phobos would complete its slow death spiral into the red planet's surface. A community of 1,533 editors have since expanded the timeline to 160 events, including the heat death of the universe. I like to imagine these people on laptops in living rooms and cafes across the world, compiling obscure bits of speculative science into a secular Book of Revelation.

Like the best sci-fi world building, the Timeline of the Far Future can give you a key bump of the sublime. It reminds you that even the sturdiest-seeming features of our world are ephemeral, that in 1,100 years, Earth's axis will point to a new North Star. In 250,000 years, an undersea volcano will pop up in the Pacific, adding an extra island to Hawaii. In the 1 million years that the Great Pyramid will take to erode, the sun will travel only about 1/200th of its orbit around the Milky Way, but in doing so, it will move into a new field of stars. Our current constellations will go all wobbly in the sky and then vanish.

Some aspects of the timeline are more certain than others. We know that most animals will look different 10 million years from now. We know that the continents will slowly drift together to form a new Pangaea. Africa will slam into Eurasia, sealing off the Mediterranean basin and raising a new Himalaya-like range across France, Italy, and Spain. In 400 million years, Saturn will have lost its rings. Earth will have replenished its fossil fuels. Our planet will also likely have sustained at least one mass-extinction-triggering impact, unless its inhabitants have learned to divert asteroids.

Law enforcement from 12 countries arrested four individuals linked to the LockBit ransomware gang, including a developer and a bulletproof hosting administrator. The operation also resulted in the seizure of LockBit infrastructure and involved sanctions targeting affiliates of both LockBit and Evil Corp. BleepingComputer reports: According to Europol, a suspected LockBit ransomware developer was arrested in August 2024 at the request of French authorities while on holiday outside of Russia. The same month, the U.K.'s National Crime Agency (NCA) arrested two more individuals linked to LockBit activity: one believed to be associated with a LockBit affiliate, while the second was apprehended on suspicion of money laundering. In a separate action, at Madrid airport, Spain's Guardia Civil arrested the administrator of a bulletproof hosting service used to shield LockBit's infrastructure. Today, Australia, the United Kingdom, and the United States also revealed sanctions against an individual the UK NCA believes is a prolific LockBit ransomware affiliate linked to Evil Corp.

The United Kingdom sanctioned 15 more Russian nationals involved in Evil Corp's criminal activities, while the United States sanctioned six individuals and Australia targeted two. "These actions follow the massive disruption of LockBit infrastructure in February 2024, as well as the large series of sanctions and operational actions that took place against LockBit administrators in May and subsequent months," Europol said.

"For the first time, scientists have created a flexible programmable chip that is not made of silicon..." reports IEEE Spectrum — opening new possibilities for implantable devices, on-skin computers, brain-machine interfaces, and soft robotics.

U.K.-based Pragmatic Semiconductor produced an "ultralow-power" 32-bit microprocessor, according to the article, and "The microchip's open-source RISC-V architecture suggests it might cost less than a dollar..." This shows potential for inexpensive applications like wearable healthcare electronics and smart package labels, according to the chip's inventors: For example, "we can develop an ECG patch that has flexible electrodes attached to the chest and a flexible microprocessor connected to flexible electrodes to classify arrhythmia conditions by processing the ECG data from a patient," says Emre Ozer, senior director of processor development at Pragmatic, a flexible chip manufacturer in Cambridge, England. Detecting normal heart rhythms versus an arrhythmia "is a machine learning task that can run in software in the flexible microprocessor," he says...

Pragmatic sought to create a flexible microchip that cost significantly less to make than a silicon processor. The new device, named Flex-RV, is a 32-bit microprocessor based on the metal-oxide semiconductor indium gallium zinc oxide (IGZO). Attempts to create flexible devices from silicon require special packaging for the brittle microchips to protect them from the mechanical stresses of bending and stretching. In contrast, pliable thin-film transistors made from IGZO can be made directly at low temperatures onto flexible plastics, leading to lower costs...

"Our end goal is to democratize computing by developing a license-free microprocessor," Ozer says... Other processors have been built using flexible semiconductors, such as Pragmatic's 32-bit PlasticARM and an ultracheap microcontroller designed by engineers in Illinois. Unlike these earlier devices, Flex-RV is programmable and can run compiled programs written in high-level languages such as C. In addition, the open-source nature of RISC-V also let the researchers equip Flex-RV with a programmable machine learning hardware accelerator, enabling artificial intelligence applications.

Each Flex-RV microprocessor has a 17.5 square millimeter core and roughly 12,600 logic gates. The research team found Flex-RV could run as fast as 60 kilohertz while consuming less than 6 milliwatts of power... The Pragmatic team found that Flex-RV could still execute programs correctly when bent to a curve with a radius of 3 millimeters. Performance varied between a 4.3 percent slowdown to a 2.3 percent speedup depending on the way it was bent.