"While general-purpose languages like Python, C++, and Java remain popular in AI development," writes VentureBeat, "the resurgence of AI-first languages signifies a recognition that AI's unique demands require specialized languages tailored to the domain's specific needs... designed from the ground up to address the specific needs of AI development." Bend, created by Higher Order Company, aims to provide a flexible and intuitive programming model for AI, with features like automatic differentiation and seamless integration with popular AI frameworks. Mojo, developed by Modular AI, focuses on high performance, scalability, and ease of use for building and deploying AI applications. Swift for TensorFlow, an extension of the Swift programming language, combines the high-level syntax and ease of use of Swift with the power of TensorFlow's machine learning capabilities...

At the heart of Mojo's design is its focus on seamless integration with AI hardware, such as GPUs running CUDA and other accelerators. Mojo enables developers to harness the full potential of specialized AI hardware without getting bogged down in low-level details. One of Mojo's key advantages is its interoperability with the existing Python ecosystem. Unlike languages like Rust, Zig or Nim, which can have steep learning curves, Mojo allows developers to write code that seamlessly integrates with Python libraries and frameworks. Developers can continue to use their favorite Python tools and packages while benefiting from Mojo's performance enhancements... It supports static typing, which can help catch errors early in development and enable more efficient compilation... Mojo also incorporates an ownership system and borrow checker similar to Rust, ensuring memory safety and preventing common programming errors. Additionally, Mojo offers memory management with pointers, giving developers fine-grained control over memory allocation and deallocation...

Mojo is conceptually lower-level than some other emerging AI languages like Bend, which compiles modern high-level language features to native multithreading on Apple Silicon or NVIDIA GPUs. Mojo offers fine-grained control over parallelism, making it particularly well-suited for hand-coding modern neural network accelerations. By providing developers with direct control over the mapping of computations onto the hardware, Mojo enables the creation of highly optimized AI implementations.

According to Mojo's creator, Modular, the language has already garnered an impressive user base of over 175,000 developers and 50,000 organizations since it was made generally available last August. Despite its impressive performance and potential, Mojo's adoption might have stalled initially due to its proprietary status. However, Modular recently decided to open-source Mojo's core components under a customized version of the Apache 2 license. This move will likely accelerate Mojo's adoption and foster a more vibrant ecosystem of collaboration and innovation, similar to how open source has been a key factor in the success of languages like Python.

Developers can now explore Mojo's inner workings, contribute to its development, and learn from its implementation. This collaborative approach will likely lead to faster bug fixes, performance improvements and the addition of new features, ultimately making Mojo more versatile and powerful.
The article also notes other languages "trying to become the go-to choice for AI development" by providing high-performance execution on parallel hardware. Unlike low-level beasts like CUDA and Metal, Bend feels more like Python and Haskell, offering fast object allocations, higher-order functions with full closure support, unrestricted recursion and even continuations. It runs on massively parallel hardware like GPUs, delivering near-linear speedup based on core count with zero explicit parallel annotations — no thread spawning, no locks, mutexes or atomics. Powered by the HVM2 runtime, Bend exploits parallelism wherever it can, making it the Swiss Army knife for AI — a tool for every occasion...

The resurgence of AI-focused programming languages like Mojo, Bend, Swift for TensorFlow, JAX and others marks the beginning of a new era in AI development. As the demand for more efficient, expressive, and hardware-optimized tools grows, we expect to see a proliferation of languages and frameworks that cater specifically to the unique needs of AI. These languages will leverage modern programming paradigms, strong type systems, and deep integration with specialized hardware to enable developers to build more sophisticated AI applications with unprecedented performance. The rise of AI-focused languages will likely spur a new wave of innovation in the interplay between AI, language design and hardware development. As language designers work closely with AI researchers and hardware vendors to optimize performance and expressiveness, we will likely see the emergence of novel architectures and accelerators designed with these languages and AI workloads in mind. This close relationship between AI, language, and hardware will be crucial in unlocking the full potential of artificial intelligence, enabling breakthroughs in fields like autonomous systems, natural language processing, computer vision, and more.

The future of AI development and computing itself are being reshaped by the languages and tools we create today.
In 2017 Modular AI's founder Chris Lattner (creator of the Swift and LLVM) answered questions from Slashdot readers.

An anonymous reader quotes a report from Reuters: Alphabet's Google has preemptively paid damages to the U.S. government, an unusual move aimed at avoiding a jury trial in the Justice Department's antitrust lawsuit over its digital advertising business. Google disclosed (PDF) the payment, but not the amount, in a court filing last week that said the case should be heard and decided by a judge directly. Without a monetary damages claim, Google argued, the government has no right to a jury trial. The Justice Department, which has not said if it will accept the payment, declined to comment on the filing. Google asserted that its check, which it said covered its alleged overcharges for online ads, allows it to sidestep a jury trial whether or not the government takes it.

The Justice Department filed the case last year with Virginia and other states, alleging Google was stifling competition for advertising technology. The government has said Google should be forced to sell its ad manager suite. Google, which has denied the allegations, said in a statement that the Justice Department "manufactured a damages claim at the last minute in an attempt to secure a jury trial." Without disclosing the size of its payment, Google said that after months of discovery, the Justice Department could only point to estimated damages of less than $1 million. The company said the government has said the case is "highly technical" and "outside the everyday knowledge of most prospective jurors."

Earlier this week the Washington Post reported that America's Defense department "is growing concerned that the United Launch Alliance, one of its key partners in launching national security satellites to space, will not be able to meet its needs to counter China and build its arsenal in orbit with a new rocket that ULA has been developing for years." In a letter sent Friday to the heads of Boeing's and Lockheed Martin's space divisions, Air Force Assistant Secretary Frank Calvelli used unusually blunt terms to say he was growing "concerned" with the development of the Vulcan rocket, which the Pentagon intends to use to launch critical national security payloads but which has been delayed for years. ULA, a joint venture of Boeing and Lockheed Martin, was formed nearly 20 years ago to provide the Defense Department with "assured access" to space. "I am growing concerned with ULA's ability to scale manufacturing of its Vulcan rocket and scale its launch cadence to meet our needs," he wrote in the letter, a copy of which was obtained by The Washington Post. "Currently there is military satellite capability sitting on the ground due to Vulcan delays...."

ULA originally won 60 percent of the Pentagon's national security payloads under the current contract, known as Phase 2. SpaceX won an award for the remaining 40 percent, but it has been flying its reusable Falcon 9 rocket at a much higher rate. ULA launched only three rockets last year, as it transitions to Vulcan; SpaceX launched nearly 100, mostly to put up its Starlink internet satellite constellation. Both are now competing for the next round of Pentagon contracts, a highly competitive procurement worth billions of dollars over several years. ULA is reportedly up for sale; Blue Origin is said to be one of the suitors...

In a statement to The Post, ULA said that its "factory and launch site expansions have been completed or are on track to support our customers' needs with nearly 30 launch vehicles in flow at the rocket factory in Decatur, Alabama." Last year, ULA CEO Tory Bruno said in an interview that the deal with Amazon would allow the company to increase its flight rate to 20 to 25 a year and that to meet that cadence it was hiring "several hundred" more employees. The more often Vulcan flies, he said, the more efficient the company would become. "Vulcan is much less expensive" than the Atlas V rocket that the ULA currently flies, Bruno said, adding that ULA intends to eventually reuse the engines. "As the flight rate goes up, there's economies of scale, so it gets cheaper over time. And of course, you're introducing reusability, so it's cheaper. It's just getting more and more competitive."
The article also notes that years ago ULA "decided to eventually retire its workhorse Atlas V rocket after concerns within the Pentagon and Congress that it relied on a Russian-made engine, the RD-180. In 2014, the company entered into a partnership with Jeff Bezos' Blue Origin to provide its BE-4 engines for use on Vulcan. However, the delivery of those engines was delayed for years — one of the reasons Vulcan's first flight didn't take place until earlier this year."

The article says Cavelli's letter cited the Pentagon's need to move quickly as adversaries build capabilities in space, noting "counterspace threats" and adding that "our adversaries would seek to deny us the advantage we get from space during a potential conflict."

"The United States continues to face an unprecedented strategic competitor in China, and our space environment continues to become more contested, congested and competitive."

An anonymous reader shared this report from PetaPixel: A photographer and content creator has set the world record for the fastest drone flight after his custom-made aircraft achieved a staggering 298.47 miles per hour (480.2 kilometers per hour). Guinness confirmed the record noting that Luke Maximo Bell and his father Mike achieved the "fastest ground speed by a battery-powered remote-controlled (RC) quadcopter."

Luke, who has previously turned his GoPro into a tennis ball, describes it as the most "frustrating and difficult project" he has ever worked on after months of working on prototypes that frequently caught fire. From the very first battery tests for the drone that Luke calls Peregrine 2, there were small fires as it struggled to cope with the massive amount of current which caused it to heat up to over 266 degrees Fahrenheit (130 degrees Celsius). The motor wires also burst into flames during full load testing causing Luke and Mike to use thicker ones so they didn't fail...

After 3D-printing the final model and assembling all the parts, Luke took it for a maiden flight which immediately resulted in yet another fire. This setback made Bell almost quit the project but he decided to remake all the parts and try again — which also ended in fire. This second catastrophe prompted Luke and his Dad to "completely redesign the whole drone body." It meant weeks of work as the new prototype was once again tested, 3D-printed, and bolted together.

An anonymous reader quotes a report from the New York Times: Apple's top software executives decided early last year that Siri, the company's virtual assistant, needed a brain transplant. The decision came after the executives Craig Federighi and John Giannandrea spent weeks testing OpenAI's new chatbot, ChatGPT. The product's use of generative artificial intelligence, which can write poetry, create computer code and answer complex questions, made Siri look antiquated, said two people familiar with the company's work, who didn't have permission to speak publicly. Introduced in 2011 as the original virtual assistant in every iPhone, Siri had been limited for years to individual requests and had never been able to follow a conversation. It often misunderstood questions. ChatGPT, on the other hand, knew that if someone asked for the weather in San Francisco and then said, "What about New York?" that user wanted another forecast.

The realization that new technology had leapfrogged Siri set in motion the tech giant's most significant reorganization in more than a decade. Determined to catch up in the tech industry's A.I. race, Apple has made generative A.I. a tent pole project -- the company's special, internal label that it uses to organize employees around once-in-a-decade initiatives. Apple is expected to show off its A.I. work at its annual developers conference on June 10 when it releases an improved Siri that is more conversational and versatile, according to three people familiar with the company's work, who didn't have permission to speak publicly. Siri's underlying technology will include a new generative A.I. system that will allow it to chat rather than respond to questions one at a time. The update to Siri is at the forefront of a broader effort to embrace generative A.I. across Apple's business. The company is also increasing the memory in this year's iPhones to support its new Siri capabilities. And it has discussed licensing complementary A.I. models that power chatbots from several companies, including Google, Cohere and OpenAI. Further reading: Apple Might Bring AI Transcription To Voice Memos and Notes

The sudden closure of several video-game studios at Microsoft's Xbox division was the result of a widespread cost-cutting initiative that still isn't finished. From a report: This week, Xbox began offering voluntary severance agreements to producers, quality assurance testers and other staff at ZeniMax, which it purchased in 2020 for $7.5 billion, according to people familiar with the company's plans. Others across the Xbox organization have been told that more cuts are on the way. Employees were shocked by the unexpected shuttering Tuesday of three Xbox subsidiaries and the absorption of a fourth. The closures included Tokyo-based Tango Gameworks, which last year released the critically acclaimed action game Hi-Fi Rush. Tango was in the process of pitching a sequel, said the people, who asked not to be identified discussing nonpublic information.

During a town hall with ZeniMax staff on Wednesday morning, Xbox president Matt Booty praised Hi-Fi Rush but did not specify why the company had shut down the development studio behind it, according to three people who were in attendance. Speaking about the closures more broadly, Booty said that the company's studios had been spread too thin -- like "peanut butter on bread" -- and that leaders across the division had felt understaffed. They decided to close these studios to free up resources elsewhere, he said. Booty added that the shutdown of subsidiary Arkane Austin, the longtime developer of games such as Prey, was not connected to the performance of its new multiplayer game, Redfall, a critical and commercial flop.

In 2016, an online "swarm intelligence" platform generated a correct prediction for the Kentucky Derby — naming all four top finishers, in order. (But the next year their predictions weren't even close, with TechRepublic suggesting 2016's race had an unusual cluster of just a few top racehorses.)

So this year Decrypt.co tried crafting their own system "that can be called up when the next Kentucky Derby draws near. There are a variety of ways to enlist artificial intelligence in horse racing. You could process reams of data based on your own methodology, trust a third-party pre-trained model, or even build a bespoke solution from the ground up. We decided to build a GPT we named HorseGPT to crunch the numbers and make the picks for us...

We carefully curated prompts to instill HorseGPT with expertise in data science specific to horse racing: how weather affects times, the role of jockeys and riding styles, the importance of post positions, and so on. We then fed it a mix of research papers and blogs covering the theoretical aspects of wagering, and layered on practical knowledge: how to read racing forms, what the statistics mean, which factors are most predictive, expert betting strategies, and more. Finally, we gave HorseGPT a wealth of historical Kentucky Derby data, arming it with the raw information needed to put its freshly imparted skills to use.

We unleashed HorseGPT on official racing forms for this year's Derby. We asked HorseGPT to carefully analyze each race's form, identify the top contenders, and recommend wager types and strategies based on deep background knowledge derived from race statistics.
So how did it do? HorseGPT picked two horses to win — both of which failed to do so. (Sierra Leone did finish second — in a rare three-way photo finish. But Fierceness finished... 15th.) It also recommended the same two horses if you were trying to pick the top two finishers in the correct order — a losing bet, since, again, Fierceness finished 15th.

But even worse, HorseGPT recommended betting on Just a Touch to finish in either first or second place. When the race was over, that horse finished dead last. (And when asked to pick the top three finishers in correct order, HorseGPT stuck with its choices for the top two — which finished #2 and #15 — and, again, Just a Touch, who came in last.)

When Google Gemini was asked to pick the winner by The Athletic, it first chose Catching Freedom (who finished 4th). But it then gave an entirely different answer when asked to predict the winner "with an Italian accent."

"The winner of the Kentucky Derby will be... Just a Touch! Si, that's-a right, the underdog! There will be much-a celebrating in the piazzas, thatta-a I guarantee!"
Again, Just a Touch came in last.

Decrypt noticed the same thing. "Interestingly enough, our HorseGPT AI agent and the other out-of-the-box chatbots seemed to agree with each other," the site notes, adding that HorseGPT also seemed to agree "with many expert analysts cited by the official Kentucky Derby website."

But there was one glimmer of insight into the 20-horse race. When asked to choose the top four finishers in order, HorseGPT repeated those same losing picks — which finished #2, #15, and #20. But then it added two more underdogs for fourth place finishers, "based on their potential to outperform expectations under muddy conditions." One of those two horses — Domestic Product — finished in 13th place.

But the other of the two horses was Mystik Dan — who came in first.

Mystik Dan appeared in only one of the six "Top 10 Finishers" lists (created by humans) at the official Kentucky Derby site... in the #10 position.

Walmart isn't making enough money off its new health centers, so it decided to close up shop. From a report: The retail giant announced today that it'll shutter all 51 health centers it opened up across five states since 2019. Walmart is also getting rid of its virtual care program after acquiring telehealth provider MeMD in 2021. "We determined there is not a sustainable business model for us to continue," Walmart said in an announcement today.

"This is a difficult decision, and like others, the challenging reimbursement environment and escalating operating costs create a lack of profitability that make the care business unsustainable for us at this time," Walmart said today. It's an about-face from last year when Walmart said it planned to double its number of health clinics and expand into two new states in 2024.

Ahead of its annual I/O developer conference in May, Google has decided to lay off staff across key teams like Flutter, Dart, Python and others. "As we've said, we're responsibly investing in our company's biggest priorities and the significant opportunities ahead," said a Google spokesperson. "To best position us for these opportunities, throughout the second half of 2023 and into 2024, a number of our teams made changes to become more efficient and work better, remove layers, and align their resources to their biggest product priorities. Through this, we're simplifying our structures to give employees more opportunity to work on our most innovative and important advances and our biggest company priorities, while reducing bureaucracy and layers." TechCrunch reports: The company clarified that the layoffs were not company-wide but were reorgs that are part of the normal course of business. Affected employees will be able to apply for other open roles at Google, we're told. [...] Though Google didn't detail headcount, some of the layoffs at Google may have been confirmed in a WARN notice filed on April 24. WARN, or the California Worker Adjustment and Retraining Notification Act, requires employers with more than 100 employees to provide 60-day notice in advance of layoffs. In the filing, Google said it was laying off a total of 50 employees across three locations in Sunnyvale.

On social media, commenters raised concerns with the Python layoffs in particular, given the role that Python tooling plays in AI. But others pointed out that Google didn't eliminate its Python team; it replaced that team with another group based in Munich -- at least according to Python Steering Council member Thomas Wouters in a post on Mastodon last Thursday.

An anonymous reader quotes a report from The Register: Huawei plans to expand its native HarmonyOS smartphone platform worldwide, despite coming under US-led sanctions that have deprived it of access to key technologies. "We will work hard to build up the HarmonyOS app ecosystem in the China market first, then, from country to country, we will start gradually pushing it out to other parts of the world," Huawei's rotating chairman Erik Xu told attendees at its 21st Analyst Summit in Shenzhen last week. Part of this process will involve porting apps to HarmonyOS and encouraging other app developers to code for the platform.

"In the China market, Huawei smartphone users spend 99 percent of their time on about 5,000 apps. So we decided to spend 2024 porting these apps over to HarmonyOS first in our drive to truly unify the OS and the app ecosystem. We are also encouraging other apps to be ported over to HarmonyOS," Xu said. According to Huawei's rotating chairman, more than 4,000 of those apps are already in the process of being transferred, and the company is "communicating with developers" on the 1,000 or so apps that remain. "This is a massive undertaking, but we have broad support in the industry and from many app developers," he claimed. "Once we have these first 5,000 Android apps -- and thousands of other apps -- up and running on HarmonyOS, we will have a real HarmonyOS: a third mobile operating system for the world," Xu said. That number could reach up to 1 million apps in the future, he claimed. According to Counterpoint Research, HarmonyOS accounted for 4 percent of global market share in the fourth quarter of 2023, and exceeded 16 percent market share in China. That makes it the third largest mobile OS by handset sales, behind Android and iOS.

It remains to be seen whether there will be much of a market for HarmonyOS outside of China, given the current sanctions and sour US/EU-China relations.

Remember when Apple filed a lawsuit against chip startup Rivos (saying that in one year Rivos hired more than 40 former Apple employees to work on competing system-on-a-chip technology)? Apple settled that suit in February.

And now Tuesday Rivos announced that it raised $250 million, according to Reuters, "in a funding round that will enable it to manufacture its first server chip geared for artificial intelligence," combining a CPU with an AI-accelerating component optimized for LLMs and data analytics. Nvidia gobbled up more than 80% market share of AI chips in 2023. But a host of startups and chip giants have started to launch competing products, such as Intel's Gaudi 3 and Meta's inference chip — both unveiled last week. Rivos is tight-lipped about the specifics of the product, but has disclosed that its plans include designing chips based on the RISC-V architecture, which is an open source alternative to the architectures made by Arm, Intel, and Advanced Micro Devices.. [U]sing the open source alternative means Rivos does not have to pay a license fee to Arm. "RISC-V doesn't have a (large) software ecosystem, so I decided to form a company and then build software-defined hardware — just like what CUDA did with Nvidia," said Lip-Bu Tan, founding managing partner at Walden Catalyst, one of Rivos' investors.
Meanwhile, there's a rumor that Allen Wu, former chief executive of Arm China, has founded a new company that will develop chips based on RISC-V. Tom's Hardware writes: Under the leadership of the controversial Allen Wu, Zhongzhi Chip is reportedly attracting a notable influx of talent, including numerous former employees of Arm, indicating the new company's serious ambitions in the chip sector... [T]he company's operational focus remains partially unclear, with speculation around whether it will primarily engage in its own R&D initiatives or represent Tenstorrent in China as its agent... which develops HPC CPUs and AI processors based on the RISC-V ISA... Based on the source report, Zhongzhi Chip is leveraging its connections and forming alliances with several other leading global RISC-V chip developers.

An anonymous reader quotes a report from Business Insider: If you think you've been seeing an awful lot more Reddit results lately when you search on Google, you're not imagining things. The internet is in upheaval, and for website owners the rules of "winning" Google Search have never been murkier. Google's generative AI search engine is coming from one direction. It's creeping closer to mainstream deployment and bringing an existential crisis for SEOs and website makers everywhere. Coming from the other direction is an influx of posts from Reddit, Quora, and other internet forums that have climbed up through the traditional set of Google links. Data analysis from Semrush, which predicts traffic based on search ranking, shows that traffic to Reddit has climbed at an impressive clip since August. Semrush estimated that Reddit had over 132 million visitors in August 2023. At the time of publishing, it was projected to have over 346 million visitors in April 2024.

None of this is accidental. For years, Google has been watching users tack on "Reddit" to the end of search queries and finally decided to do something about it. Google started dropping hints in 2022 when it promised to do a better job of promoting sites that weren't just chasing the top of search but were more helpful and human. Last August, Google rolled out a big update to Search that seemed to kick this into action. Reddit, Quora, and other forum sites started getting more visibility in Google, both within the traditional links and within a new "discussions and forums" section, which you may have spotted if you're US-based. The timing of this Reddit bump has led to some conspiracy theories. In February, Google and Reddit announced a blockbuster deal that would let Google train its AI models on Reddit content. Google said the deal, reportedly worth $60 million, would "facilitate more content-forward displays of Reddit information," leading to some speculation that Google promised Reddit better visibility in exchange for the valuable training data. A few weeks later, Reddit also went public.

Steve Paine, marketing manager at Sistrix, called the rise of Reddit "unprecedented." "There hasn't been a website that's grown so much search visibility so quickly in the US in at least the last five years," he told Business Insider. Right now, Reddit ranks high for product searches. Reddit's main competitors are Wikipedia, YouTube, and Fandom, Paine said, and it also competes in "high-value commercial searches," putting it up against Amazon. The "real competitors," he said, are the subreddits that compete with brands on the web. A Google spokesperson told Business Insider that the company is essentially just giving users what they want: "Our research has shown that people often want to learn from others' experiences with a topic, so we've continued to make it easier to find helpful perspectives on Search when it's relevant to a query. Our systems surface content from hundreds of forums and other communities across the web, and we conduct rigorous testing to ensure results are helpful and high quality."

Michael Larabel reports via Phoronix: Within yesterday's Linux 6.9-rc4 release is an interesting little nugget by Linus Torvalds to battle Kconfig parsers that can't correctly handle tabs but rather just assume spaces for whitespace for this kernel configuration format. Due to a patch having been queued last week to replace a tab with a space character in the kernel tracing Kconfig file, Linus Torvalds decided to take matters into his own hand for Kconfig parsers that can't deal with tabs... Torvalds authored a patch to intentionally add some tabs of his own into Kconfig for throwing off any out-of-tree/third-party parsers that can't correctly handle them. Torvalds added these intentional hidden tabs to the common Kconfig file for handling page sizes for the kernel. Thus sure to cause dramatic and noticeable breakage for any parsers not having tabs correctly.

The Federal Communications Commission chair decided not to impose Universal Service fees on Internet service, rejecting arguments for new assessments to shore up an FCC fund that subsidizes broadband network expansions and provides discounts to low-income consumers. From a report: The $8 billion-a-year Universal Service Fund (USF) pays for FCC programs such as Lifeline discounts and Rural Digital Opportunity Fund deployment grants for ISPs. Phone companies must pay a percentage of their revenue into the fund, and telcos generally pass those fees on to consumers with a "Universal Service" line item on telephone bills.

Imposing similar assessments on broadband could increase the Universal Service Fund's size and/or reduce the charges on phone service, spreading the burden more evenly across different types of telecommunications services. Some consumer advocates want the FCC to increase the fund in order to replace the Affordable Connectivity Program (ACP), a different government program that gives $30 monthly broadband discounts to people with low incomes but is about to run out of money because of inaction by Congress. The Universal Service funding question is coming up now because, on April 25, the FCC is scheduled to vote on reclassifying broadband as a telecommunications service in order to re-impose the net neutrality rules scrapped during the Trump era. Imposing Universal Service charges on broadband would likely result in ISPs adding those costs to monthly bills and would make the net neutrality proceeding even more of a political minefield than it already is. FCC Chairwoman Jessica Rosenworcel's net neutrality proposal takes the same stance against requiring Universal Service contributions that the FCC took in 2015 when it first imposed the net neutrality rules.

CNN revisits 2003's disastrous landing of the Space Shuttle Columbia tonight with two "immersive" specials co-produced by BBC and Mindhouse Productions "featuring exclusive interviews and revealing never-before-broadcast footage," according to an announcement — with two more specials airing next week.

You can watch a trailer here. Across four episodes, the story of the ticking-clock of Columbia's final mission is told in dramatic detail, beginning months before the troubled launch, unfolding across the sixteen days in orbit, and concluding with the investigation into the tragic loss of the seven astronauts' lives. Weaving together intimate footage shot by the astronauts themselves inside the orbiter, exclusive first-hand testimony from family members of the Shuttle's crew, key players at NASA — some of whom have never spoken before — and journalists who covered the story on the ground, the series paints an intimate portrait of the women and men onboard and uncovers in forensic detail the trail of events and missed opportunities that ultimately led to disaster.
CNN says the first two episodes will livestream tonight at 9 p.m. EST (time-delayed on the west coast until 9 p.m.PST) — and then be available on-demand starting Monday — "for pay TV subscribers via CNN.com, CNN connected TV and mobile apps." CNN's web site offers a "preview" of its live TV offerings here.

They're promising "the inside story of one America's most iconic institutions, uncovering how financial pressures and a culture of complacency may have contributed to the events of February 1, 2003. The series also reflects on the legacy of the Space Shuttle era, serving as a timely exploration of the challenges and inherent dangers that remain relevant to space travel today."

On its web site CNN has also published two companion articles — one by Rice history professor Douglas Brinkley arguing that NASA "was America's crown jewel. After the Columbia disaster it was never quite the same." Because other shuttle missions had returned safely with "shredded" surface tiles — and because the stalwart Columbia had brought astronauts home from 27 previous flights — many NASA officials were lulled into complacency. They went so far as to assure the pilot and commander via email that "there is no concern ... We have seen the same phenomenon on several other flights and there is absolutely no concern for entry."

NASA officials also decided against enlisting spy satellite photography to examine the shuttle damage more thoroughly. If they had, it's possible that the astronauts could have repaired the spaceplane or at least abandoned it for refuge on the International Space Station...

As the Columbia Accident Investigation Board (CAIB) noted in its final report, "the NASA organizational culture had as much to do with this accident as the foam." All of NASA's launches were suspended for two years. While the shuttles eventually flew again, post-Columbia, the program was stunted and curtailed.
The article notes that since then SpaceX, Blue Origin, and the United Launch Alliance (Lockheed Martin and Boeing) "are thriving today in the space industry," along with Virgin Galactic and Axiom Space. "NASA, far from feeling threatened, has encouraged many of the private companies with massive contracts. The agency already had a long history of dealing with sub-contractors, using its pocketbook to steer aerospace development; that tradition has adjusted seamlessly to the current space economy."

In the other article CNN Space & Science writer Jackie Wattles notes that when America later retired its Space Shuttle program in 2011, "no U.S. astronaut would travel to space on an American-made rocket for nearly a decade."

Four months ago long-time Slashdot reader Shayde tried restoring a 1986 DEC PDP-11 minicomputer.

But now he's gone even further back in time. Shayde writes: In 1984, Apple II's were at the top of their game in the 8 bit market. A company in New Jersey decided to get in on the action and built an exact clone of the Apple. The Franklin Ace was chip and ROM compatible with the Apple II, and that led to it's downfall.

In this video we resurrect and old Franklin Ace and not only boot ProDOS, but also get the Z80 coprocessor up and running, and relive what coding in Turbo Pascal in the 80s was like.
Why Turbo Pascal? "Some of my earliest professional programming was done in this environment," Shayde says in the video, "and I was itching to play with it again."

The Document Foundation: Following a successful pilot project, the northern German federal state of Schleswig-Holstein has decided to move from Microsoft Windows and Microsoft Office to Linux and LibreOffice (and other free and open source software) on the 30,000 PCs used in the local government. As reported on the homepage of the Minister-President: "Independent, sustainable, secure: Schleswig-Holstein will be a digital pioneer region and the first German state to introduce a digitally sovereign IT workplace in its state administration. With a cabinet decision to introduce the open-source software LibreOffice as the standard office solution across the board, the government has given the go-ahead for the first step towards complete digital sovereignty in the state, with further steps to follow."

An anonymous reader quotes a report from Android Police, written by Dhruv Bhutani: As someone who is an early adopter of all things smart and has invested a significant amount of money in building a fancy smart home, it saddens me to say that I feel cheated by the thousands of dollars I've spent on smart devices. And it's not a one-off. Amazon's recent move to block off local ADB connections on Fire TV devices is the latest example in a long line of grievances. A brand busy wrestling away control from the consumer after they've bought the product, the software update gimps a feature that has been present on the hardware ever since it launched back in 2014. ADB-based commands let users take deep control of the hardware, and in the case of the Fire TV hardware, it can drastically improve the user experience. [...] A few years ago, I decided to invest in the NVIDIA Shield. The premium streamer was marketed as a utopia for streaming online and offline sources with the ability to plug in hard drives, connect to NAS drives, and more. At launch, it did precisely that while presenting a beautiful, clean interface that was a joy to interact with. However, subsequent updates have converted what was otherwise a clean and elegant solution to an ad-infested overlay that I zoom past to jump into my streaming app of choice. This problem isn't restricted to just the Shield. Even my Google TV running Chromecast has a home screen that's more of an advertising space for Google than an easy way to get to my content.

But why stop at streaming boxes? Google's Nest Hubs are equal victims of feature deterioration. I've spent hundreds of dollars on Nest Hubs and outfitted them in most of my rooms and washrooms. However, Google's consistent degradation of the user experience means I use these speakers for little more than casting music from the Spotify app. The voice recognition barely works on the best of days, and when it does, the answers tend to be wildly inconsistent. It wasn't always the case. In fact, at launch, Google's Nest speakers were some of the best smart home interfaces you could buy. You'd imagine that the experience would only improve from there. That's decidedly not the case. I had high hopes that the Fuchsia update would fix the broken command detection, but that's also not the case. And good luck to you if you decided to invest in Google Assistant-compatible displays. Google's announcement that it would no longer issue software or security updates to third-party displays like the excellent Lenovo Smart Display, right after killing the built-in web browser, is pretty wild. It boggles my mind that a company can get away with such behavior.

Now imagine the plight of Nest Secure owners. A home security system isn't something one expects to switch out for many many years. And yet, Google decided to kill the Nest Secure home monitoring solution merely three years after launching the product range. While I made an initial investment in the Nest ecosystem, I've since switched over to a completely local solution that is entirely under my control, stores data locally, and won't be going out of action because of bad decision-making by another company. "It's clear to me that smart home devices, as they stand, are proving to be very poor investments for consumers," Bhutani writes in closing. "Suffice it to say that I've paused any future investments in smart devices, and I'll be taking a long and hard look at a company's treatment of its current portfolio before splurging out more cash. I'd recommend you do the same."

An anonymous reader quotes a report from Ars Technica: On Wednesday, the IEEE Computer Society announced to members that, after April 1, it would no longer accept papers that include a frequently used image of a 1972 Playboy model named Lena Forsen. The so-called "Lenna image," (Forsen added an extra "n" to her name in her Playboy appearance to aid pronunciation) has been used in image processing research since 1973 and has attracted criticism for making some women feel unwelcome in the field. In an email from the IEEE Computer Society sent to members on Wednesday, Technical & Conference Activities Vice President Terry Benzel wrote, "IEEE's diversity statement and supporting policies such as the IEEE Code of Ethics speak to IEEE's commitment to promoting an including and equitable culture that welcomes all. In alignment with this culture and with respect to the wishes of the subject of the image, Lena Forsen, IEEE will no longer accept submitted papers which include the 'Lena image.'"

An uncropped version of the 512×512-pixel test image originally appeared as the centerfold picture for the December 1972 issue of Playboy Magazine. Usage of the Lenna image in image processing began in June or July 1973 (PDF) when an assistant professor named Alexander Sawchuck and a graduate student at the University of Southern California Signal and Image Processing Institute scanned a square portion of the centerfold image with a primitive drum scanner, omitting nudity present in the original image. They scanned it for a colleague's conference paper, and after that, others began to use the image as well. The image's use spread in other papers throughout the 1970s, 80s, and 90s, and it caught Playboy's attention, but the company decided to overlook the copyright violations. In 1997, Playboy helped track down Forsén, who appeared at the 50th Annual Conference of the Society for Imaging Science in Technology, signing autographs for fans. "They must be so tired of me ... looking at the same picture for all these years!" she said at the time. VP of new media at Playboy Eileen Kent told Wired, "We decided we should exploit this, because it is a phenomenon."

The image, which features Forsen's face and bare shoulder as she wears a hat with a purple feather, was reportedly ideal for testing image processing systems in the early years of digital image technology due to its high contrast and varied detail. It is also a sexually suggestive photo of an attractive woman, and its use by men in the computer field has garnered criticism over the decades, especially from female scientists and engineers who felt that the image (especially related to its association with the Playboy brand) objectified women and created an academic climate where they did not feel entirely welcome. Due to some of this criticism, which dates back to at least 1996, the journal Nature banned the use of the Lena image in paper submissions in 2018.

An anonymous reader quotes a report from GamingOnLinux: After repeatedly suffering issues with scam apps making it onto the Snap Store, Canonical maker of Ubuntu Linux have now decided to manually look over submissions. I've covered the issues with the Snap Store a few times now like on March 19th when ten scam crypto apps appeared, got taken down and then reappeared under a different publisher. Also earlier back in February there was an issue where a user actually lost their wallet as a result of a fake app. Multiple fake apps were also put up back in October last year as well, so it was a repeating issue that really needed dealing with properly.

So to try and do something about it, Canonical's Holly Hall has posted on their Discourse forum about how "The Store team and other engineering teams within Canonical have been continuously monitoring new snaps that are being registered, to detect potentially malicious actors" and that they will now do manual reviews whenever people try to register "a new snap name." On top of that soon they will also be releasing a new policy regarding "crypto-wallet and other sensitive snaps" with "guidelines for how to publish such a snap." Currently all of this is not supposed to be long-term, as it's an evolving situation.