An anonymous reader quotes a report from 404 Media: A massive data center for Meta's AI will likely lead to rate hikes for Louisiana customers, but Meta wants to keep the details under wraps. Holly Ridge is a rural community bisected by US Highway 80, gridded with farmland, with a big creek -- it is literally named Big Creek -- running through it. It is home to rice and grain mills and an elementary school and a few houses. Soon, it will also be home to Meta's massive, 4 million square foot AI data center hosting thousands of perpetually humming servers that require billions of watts of energy to power. And that energy-guzzling infrastructure will be partially paid for by Louisiana residents.

The plan is part of what Meta CEO Mark Zuckerberg said would be "a defining year for AI." On Threads, Zuckerberg boasted that his company was "building a 2GW+ datacenter that is so large it would cover a significant part of Manhattan," posting a map of Manhattan along with the data center overlaid. Zuckerberg went on to say that over the coming years, AI "will drive our core products and business, unlock historic innovation, and extend American technology leadership. Let's go build! " What Zuckerberg did not mention is that "Let's go build" refers not only to the massive data center but also three new Meta-subsidized, gas power plants and a transmission line to fuel it serviced by Entergy Louisiana, the region's energy monopoly.

Key details about Meta's investments with the data center remain vague, and Meta's contracts with Entergy are largely cloaked from public scrutiny. But what is known is the $10 billion data center has been positioned as an enormous economic boon for the area -- one that politicians bent over backward to facilitate -- and Meta said it will invest $200 million into "local roads and water infrastructure." A January report from NOLA.com said that the the state had rewritten zoning laws, promised to change a law so that it no longer had to put state property up for public bidding, and rewrote what was supposed to be a tax incentive for broadband internet meant to bridge the digital divide so that it was only an incentive for data centers, all with the goal of luring in Meta. But Entergy Louisiana's residential customers, who live in one of the poorest regions of the state, will see their utility bills increase to pay for Meta's energy infrastructure, according to Entergy's application. Entergy estimates that amount will be small and will only cover a transmission line, but advocates for energy affordability say the costs could balloon depending on whether Meta agrees to finish paying for its three gas plants 15 years from now. The short-term rate increases will be debated in a public hearing before state regulators that has not yet been scheduled. The Alliance for Affordable Energy called it a "black hole of energy use," and said "to give perspective on how much electricity the Meta project will use: Meta's energy needs are roughly 2.3x the power needs of Orleans Parish ... it's like building the power impact of a large city overnight in the middle of nowhere."

Apple has quietly removed its day-old "The Parent Presentation" video from YouTube. From a report: The Parent Presentation is a customizable slideshow that explains why a Mac is a useful tool in college. [...] Students can customize the presentation slides, and then show it to their parents to convince them to buy them a Mac. In an accompanying YouTube video shared by Apple, comedian Martin Herlihy showed a group of high school students how to effectively use The Parent Presentation. Some users described the ad as "cringe" and "gross."

Perched in Chile's Andes mountains, "A revolutionary new space telescope has just taken its first pictures of the cosmos," reports National Geographic — "and they're spectacular." Formerly known as the Large Synoptic Survey Telescope, it's expected to bring "unprecedented detail" to space photography: The observatory has a few key components: A giant telescope, called the Simonyi Survey Telescope, is connected to the world's largest and highest resolution digital camera. Rubin's 27-foot primary mirror, paired with a mind-boggling 3,200-megapixel camera, will repeatedly take 30-second exposure images of vast swaths of the sky with unrivaled speed and detail. Each image will cover an area of sky as big as 40 full moons. Every three nights for the next 10 years, Rubin will produce a new, ultra-high-definition map of the entire visible southern sky. With this much coverage, scientists hope to create an updated and detailed "movie" they can use to view how the cosmos changes over time....

For the next decade, Rubin will capture millions of astronomical objects each day — or more than 100 every second. Ultimately, it's expected to discover about 17 billion stars and 20 billion galaxies that we've never seen before... When the observatory begins science operations in earnest later in 2025, its instruments will yield a deluge of astronomical data that will be too overwhelming to process manually. (Each night, the observatory will generate around 20 terabytes of data.) Astronomers expect high-quality observations taken with the telescope will help map out the structure of the universe, find comets and potentially hazardous asteroids in our solar system, and detect exploding stars and black holes in distant galaxies.

The observatory will also examine the optical counterparts of gravitational wave events — ripples in the fabric of space caused by some of the most energetic processes in the cosmos. By studying these events, astronomers hope to uncover the secrets of the invisible forces that shape the universe like dark matter and dark energy.
"Already, in just over 10 hours of test observations, the observatory has discovered 2,104 never-before-seen-asteroids," reports NPR, "including seven near-Earth asteroids, none of which pose any danger..." The basic idea is that the data "should let astronomers catch transient phenomena that they otherwise wouldn't know to look for, such as exploding stars, asteroids, interstellar objects whizzing in from other solar systems, and maybe even the movement of a giant planet that some believe is lurking out in our own solar system, beyond Pluto."

The telescope is a joint project between the U.S. Energy Department and its National Science Foundation — and it will stream a special live broadcast of its first images today at 11 a.m. EDT (1500 GMT) on their official YouTube channel (also simulacast at Space.com).

OpenAI appears to have pulled a much-discussed video promoting the friendship between CEO Sam Altman and legendary Apple designer Jony Ive (plus, incidentally, OpenAI's $6.5 billion deal to acquire Ive and Altman's device startup io) from its website and YouTube page. [Though you can still see the original on Archive.org.]

Does that suggest something is amiss with the acquisition, or with plans for Ive to lead design work at OpenAI? Not exactly, according to Bloomberg's Mark Gurman, who reports [on X.com] that the "deal is on track and has NOT dissolved or anything of the sort." Instead, he said a judge has issued a restraining order over the io name, forcing the company to pull all materials that used it.
Gurman elaborates on the disappearance of the video (and other related marketing materials) in a new article at Bloomberg: Bloomberg reported last week that a judge was considering barring OpenAI from using the IO name due to a lawsuit recently filed by the similarly named IYO Inc., which is also building AI devices. "This is an utterly baseless complaint and we'll fight it vigorously," a spokesperson for Ive said on Sunday.
The video is still viewable on X.com, notes TechCrunch. But visiting the "Sam and Jony" page on OpenAI now pulls up a 404 error message — written in the form of a haiku:

Ghost of code lingers
Blank space now invites wonder
Thoughts begin to soar

by o4-mini-high

The goal isn't to stop generative music, but to make it traceable, reports the Verge — "to identify it early, tag it with metadata, and govern how it moves through the system...."

"Detection systems are being embedded across the entire music pipeline: in the tools used to train models, the platforms where songs are uploaded, the databases that license rights, and the algorithms that shape discovery." Platforms like YouTube and [French music streaming service] Deezer have developed internal systems to flag synthetic audio as it's uploaded and shape how it surfaces in search and recommendations. Other music companies — including Audible Magic, Pex, Rightsify, and SoundCloud — are expanding detection, moderation, and attribution features across everything from training datasets to distribution... Vermillio and Musical AI are developing systems to scan finished tracks for synthetic elements and automatically tag them in the metadata. Vermillio's TraceID framework goes deeper by breaking songs into stems — like vocal tone, melodic phrasing, and lyrical patterns — and flagging the specific AI-generated segments, allowing rights holders to detect mimicry at the stem level, even if a new track only borrows parts of an original. The company says its focus isn't takedowns, but proactive licensing and authenticated release... A rights holder or platform can run a finished track through [Vermillo's] TraceID to see if it contains protected elements — and if it does, have the system flag it for licensing before release.

Some companies are going even further upstream to the training data itself. By analyzing what goes into a model, their aim is to estimate how much a generated track borrows from specific artists or songs. That kind of attribution could enable more precise licensing, with royalties based on creative influence instead of post-release disputes...

Deezer has developed internal tools to flag fully AI-generated tracks at upload and reduce their visibility in both algorithmic and editorial recommendations, especially when the content appears spammy. Chief Innovation Officer Aurélien Hérault says that, as of April, those tools were detecting roughly 20 percent of new uploads each day as fully AI-generated — more than double what they saw in January. Tracks identified by the system remain accessible on the platform but are not promoted... Spawning AI's DNTP (Do Not Train Protocol) is pushing detection even earlier — at the dataset level. The opt-out protocol lets artists and rights holders label their work as off-limits for model training.
Thanks to long-time Slashdot reader SonicSpike for sharing the article.

An artist cancelled their Duolingo and Audible subscriptions to protest the companies' decisions to use more AI. "If enough people leave, hopefully they kind of rethink this," the artist tells the Washington Post.

And apparently, many more people feel the same way... In thousands of comments and posts about Audible and Duolingo that The Post reviewed across social media — including on Reddit, YouTube, Threads and TikTok — people threatened to cancel subscriptions, voiced concern for human translators and narrators, and said AI creates inferior experiences. "It destroys the purpose of humanity. We have so many amazing abilities to create art and music and just appreciate what's around us," said Kayla Ellsworth, a 21-year-old college student. "Some of the things that are the most important to us are being replaced by things that are not real...."

People in creative jobs are already on edge about the role AI is playing in their fields. On sites such as Etsy, clearly AI-generated art and other products are pushing out some original crafters who make a living on their creations. AI is being used to write romance novels and coloring books, design logos and make presentations... "I was promised tech would make everything easier so I could enjoy life," author Brittany Moone said. "Now it's leaving me all the dishes and the laundry so AI can make the art."
But will this turn into a consumer movement? The article also cites an assistant marketing professor at Washington State University, who found customers are now reacting negatively to the term "AI" in product descriptions — out of fear for losing their jobs (as well as concerns about quality and privacy). And he does predict this can change the way companies use AI.

"There will be some companies that are going to differentiate themselves by saying no to AI." And while it could be a niche market, "The people will be willing to pay more for things just made by humans."

BlueSky has grown from roughly 10 million users in early November to 36.79 million today — and its last 30 days of traffic looks very level.

But instead of calling BlueSky's traffic "level", right-leaning libertarian Megan McArdle argues instead that BlueSky's "decline shows no sign of leveling out" (comparing the stable figures from the last month to a one-time spike seven months ago so they can write "It's now down about 50 percent"). And Wednesday the conservative UK magazine Spectator also ignored the 30-day-leveling to write instead that BlueSky is somehow "sliding down a slope".

But TechCrunch thinks the "up or down" conversation is entirely missing the point of "the wider network of apps built on the open protocol that Bluesky's team spearheaded" — and how BlueSky "is only meant to be one example of what's possible within the wider AT Proto ecosystem." If you don't like the tone of the topics trending on Bluesky, you can switch to other apps, change your default feeds, or even build your own social platform using the technology. Already, people are using the protocol that powers Bluesky to build social experiences for specific groups — like Blacksky is doing for the Black online community or like Gander Social is doing for social media users in Canada. There are also feed builders like Graze and those in Surf that let you create custom feeds where you can focus on specific content you care about — like video games or baseball — and exclude others, like politics. Built into Bluesky (and other third-party clients) are tools that let you pick your default feed and add others that interest you from a range of topics. If you want to follow a feed devoted to your favorite TV show or animal, for instance, you can. In other words, Bluesky is meant to be what you make it, and its content can be consumed in whatever format you prefer best.

In addition to Bluesky itself, the wider network of apps built on the AT Protocol includes photo- and video-sharing apps, livestreaming tools, communication apps, blogging apps, music apps, movie and TV recommendation apps, and more. Other tools also let you combine feeds from Bluesky with other social networks. Openvibe, for instance, can mix together feeds from social networks like Threads, Bluesky, Mastodon, and Nostr. Apps like Surf and Tapestry offer ways to track posts on open social platforms as well as those published with other open protocols like RSS. This lets the apps pull in content from blogs, news sites, YouTube, and podcasts.
Even just considering BlueSky itself, three weeks ago Fast Company pointed out that BlueSky "grew from 11 million users to 25 million between late October and mid-December, but has added only about 10 million more since then." So how is a 10-million user increase "dying"? For a social network, being prematurely written off is a rite of passage. It's even a compliment of sorts — a sign that people are paying attention and care... When I chatted with Bluesky CEO Jay Graber this week, I wasn't surprised that she didn't seem fazed by the debate on her platform and saw the parallels with early-days Twitter. "Reports of our death are greatly exaggerated," she told me. "It's a similar thing, because with social sites, it's not straight up all the time. [Growth] comes in waves, and at each stage, there's a new era of communities being established and formed. We're still seeing a lot of community formation, and one of the most exciting things is how structurally different this is. It's not just another social site that has to be a singular winner-take-all in an ecosystem with existing incumbents...."

One other challenge that Bluesky has not yet fully confronted is monetizing itself. Onstage at Web Summit, Graber emphasized that it's working on subscription services, a healthier revenue source than stuffing feeds with ads, though potentially a tougher one to scale up to sustainability. The company announced a $15 million Series A funding round last October.
But again, the point isn't BlueSky's increasing user count or its stablizing levels of Daily Unique "Likers" — but its underlying open source protocol: [S]he was at her most passionate when discussing the company's aspiration to decentralize social networking via its open AT Protocol. It powers Bluesky — and variants such as the Pinksky photo-sharing app, which she praised onstage — but could also provide the infrastructure for further-flung social experiences. Maybe even ones catering to folks who have zero interest in participating in the Bluesky community. "The goal is to really get through that this is a Choose Your Own Adventure and Bluesky's just the beginning," she says. "The sky's the limit." Whether she'll fulfill her grandest ambitions, I'm not sure. But I already like this era of social networking better than the one when a handful of winners really did take all.

YouTube is quietly hosting Pac-Man Superfast within its "Playables" section. "You'd be forgiven for not knowing about YouTube Playables," writes Ars Technica's Kyle Orland. "Few seemed to note its official announcement last year as a collection of free-to-play web games built for the web using standard rendering APIs."

"The seeming competitor to Netflix's mobile gaming offerings is still described in an official FAQ as 'an experimental feature rolled out to select users in eligible countries/regions,' which doesn't make this post-Stadia gaming effort seem like a huge priority for Google." From the report: Weird origins aside, Pac-Man Superfast pretty much delivers what its name promises. While gameplay starts at an "Easy" speed that roughly matches the arcade original, the speed of both Pac-Man and the ghosts is slightly increased every few seconds (dying temporarily reduces the speed to a lower level). After a few minutes, you're advancing past the titular "Super Fast" speed to extreme reflex-testing speeds like Crazy, Insane, Maniac, and a final test that's ominously named "Doom."

Those who've played the excellent Pac-Man Championship Edition series will be familiar with the high-speed vibe here, but Pac-Man Superfast remains focused on the game's original maze and selection of just four ghosts. That means old-school strategies for grouping ghosts together and running successful patterns through the narrow corridors work in similar ways here. Successfully executing those patterns becomes a tense battle of nerves here, though, requiring multiple direction changes every second at the highest speeds. While the game will technically work with swipe controls on a smartphone or tablet, high-level play really requires the precision of a keyboard via a desktop/laptop web browser (we couldn't get the game to recognize a USB controller, unfortunately).

As exciting as the high-speed maze gameplay gets, though, Pac-Man Superfast is hampered by a few odd design decisions. The game ends abruptly after just 13 levels, for instance, making it impossible to even attempt the high-endurance 256-level runs that Pac-Man is known for. The game also throws an extra life at you every 5,000 points, making it relatively easy to brute force your way to the end as long as you focus on the three increasingly high-point-value items that appear periodically on each stage. Despite this, the game doesn't give any point reward for unused extra lives or long-term survival at high speeds, limiting the rewards for high-level play. And the lack of a built-in leaderboard makes it hard to directly compare your performance to friends and/or strangers anyway.

SpaceX's Starship exploded on its test stand in South Texas ahead of an engine test, marking the fourth loss of a Starship this year. "In three previous test flights, the vehicle came apart or detonated during its flight," notes the Washington Post. No injuries were reported but the incident highlights ongoing technical challenges as SpaceX races to prove Starship's readiness for deep-space travel. From the report: In a post on the social media site X, SpaceX said that the explosion on the test stand, which could be seen for miles, happened at about 11 p.m. Central time. For safety reasons, the company had cleared personnel from around the site, and "all personnel are safe and accounted for," it said. The company is "actively working to safe the test site and the immediate surrounding area in conjunction with local officials," the post continued. "There are no hazards to residents in surrounding communities, and we ask that individuals do not attempt to approach the area while safing operations continue."

Starship comprises two stages -- the Super Heavy booster, which has 33 engines, and the Starship spacecraft itself, which has six. Before Wednesday's explosion, the spacecraft was standing alone on the test stand, and not mounted on top of the booster, when it blew up. The engines are test-fired on the Starship before it's mounted on the booster. SpaceX had been hoping to launch within the coming weeks had the engine test been successful. [...] In a post on X, Musk said that preliminary data pointed to a pressure vessel that failed at the top of the rocket. You can watch a recording of the explosion on YouTube.

SpaceX called the incident a "rapid unscheduled disassembly," which caught the attention of Slashdot reader hambone142. In a story submitted to the Firehose, they commented: "I worked for a major computer company whose power supplies caught on fire. We were instructed to cease saying that and instead say the power supply underwent a 'thermal event.' Gotta love it."

Google is using its expansive library of YouTube videos to train its AI models, including Gemini and the Veo 3 video and audio generator, CNBC reported Thursday. From the report: The tech company is turning to its catalog of 20 billion YouTube videos to train these new-age AI tools, according to a person who was not authorized to speak publicly about the matter. Google confirmed to CNBC that it relies on its vault of YouTube videos to train its AI models, but the company said it only uses a subset of its videos for the training and that it honors specific agreements with creators and media companies.

[...] YouTube didn't say how many of the 20 billion videos on its platform or which ones are used for AI training. But given the platform's scale, training on just 1% of the catalog would amount to 2.3 billion minutes of content, which experts say is more than 40 times the training data used by competing AI models.

An anonymous reader quotes a report from Ars Technica: YouTube CEO Neal Mohan has announced that the Google Veo 3 AI video generator will be integrated with YouTube Shorts later this summer. According to Mohan, YouTube Shorts has seen a rise in popularity even compared to YouTube as a whole. The streaming platform is now the most watched source of video in the world, but Shorts specifically have seen a massive 186 percent increase in viewership over the past year. Mohan says Shorts now average 200 billion daily views.

YouTube has already equipped creators with a few AI tools, including Dream Screen, which can produce AI video backgrounds with a text prompt. Veo 3 support will be a significant upgrade, though. At the Cannes festival, Mohan revealed that the streaming site will begin offering integration with Google's leading video model later this summer. "I believe these tools will open new creative lanes for everyone to explore," said Mohan. [...]

While you can add Veo 3 videos (or any video) to a YouTube Short right now, they don't fit with the format's portrait orientation focus. Veo 3 outputs 720p landscape videos, meaning you'd have black bars in a Short. Presumably, Google will create a custom version of the model for YouTube to spit out vertical video clips. Mohan didn't mention a pricing model, but Veo 3 probably won't be cheap for Shorts creators. Currently, you must pay for Google's $250 AI Ultra plan to access Veo 3, and that still limits you to 125 8-second videos per month.

OpenAI CEO Sam Altman accused Meta of attempting to poach his developers with $100 million sign-on bonuses and higher compensation packages as the social media giant races to catch up in AI race. Altman said Meta, which has a $1.8 trillion market capitalization, began making the offers to his team members after falling behind in AI efforts. "I've heard that Meta thinks of us as their biggest competitor," Altman said on the Uncapped podcast [video] hosted by his brother.

None of his "best people" had accepted Zuckerberg's offers, he said. Meta has been recruiting top researchers and engineers from rival companies to build a new "superintelligence" team focused on developing AGI. The Facebook parent company has struggled this year to match competitors, facing criticism over its Llama 4 language model and delaying its flagship "Behemoth" AI model.

An anonymous reader quotes a report from the BBC: Social media and video networks have become the main source of news in the US, overtaking traditional TV channels and news websites, research suggests. More than half (54%) of people get news from networks like Facebook, X and YouTube -- overtaking TV (50%) and news sites and apps (48%), according to the Reuters Institute. "The rise of social media and personality-based news is not unique to the United States, but changes seem to be happening faster -- and with more impact -- than in other countries," a report found. Podcaster Joe Rogan was the most widely-seen personality, with almost a quarter (22%) of the population saying they had come across news or commentary from him in the previous week. The report's author Nic Newman said the rise of social video and personality-driven news "represents another significant challenge for traditional publishers." Other key findings from the report include:
- TikTok is the fastest-growing social and video platform, now used for news by 17% globally (up 4% from last year).
- AI chatbot use for news is increasing, especially among under-25s, where it's twice as popular as in the general population.
- Most people believe AI will reduce transparency, accuracy, and trust in news.
- Across all age groups, trusted news brands with proven accuracy remain valued, even if used less frequently.

Spain's newspaper El Pais found an entire fake album on YouTube titled Rumba Congo (1973). And they cite a study from France's International Confederation of Societies of Authors and Composers that estimated revenue from AI-generated music will rise to $4 billion in 2028, generating 20% of all streaming platforms' revenue: One of the major problems with this trend is the lack of transparency. María Teresa Llano, an associate professor at the University of Sussex who studies the intersection of creativity, art and AI, emphasizes this aspect: "There's no way for people to know if something is AI or not...." On Spotify Community — a forum for the service's users — a petition is circulating that calls for clear labeling of AI-generated music, as well as an option for users to block these types of songs from appearing on their feeds. In some of these forums, the rejection of AI-generated music is palpable.

Llano mentions the feelings of deception or betrayal that listeners may experience, but asserts that this is a personal matter. There will be those who feel this way, as well as those who admire what the technology is capable of... One of the keys to tackling the problem is to include a warning on AI-generated songs. YouTube states that content creators must "disclose to viewers when realistic content [...] is made with altered or synthetic media, including generative AI." Users will see this if they glance at the description. But this is only when using the app, because on a computer, they will have to scroll down to the very end of the description to get the warning....

The professor from the University of Sussex explains one of the intangibles that justifies the labeling of content: "In the arts, we can establish a connection with the artist; we can learn about their life and what influenced them to better understand their career. With artificial intelligence, that connection no longer exists."
YouTube says they may label AI-generated content if they become aware of it, and may also remove it altogether, according to the article. But Spotify "hasn't shared any policy for labeling AI-powered content..." In an interview with Gustav Söderström, Spotify's co-president and chief product & technology officer, he emphasized that AI "increases people's creativity" because more people can be creative, thanks to the fact that "you don't need to have fine motor skills on the piano." He also made a distinction between music generated entirely with AI and music in which the technology is only partially used. But the only limit he mentioned for moderating artificial music was copyright infringement... something that has been a red line for any streaming service for many years now. And such a violation is very difficult to legally prove when artificial intelligence is involved.

An anonymous reader quotes a report from The Register: US Navy Secretary John Phelan has told the Senate the service needs the right to repair its own gear, and will rethink how it writes contracts to keep control of intellectual property and ensure sailors can fix hardware, especially in a fight. Speaking to the Senate Armed Services Committee on Tuesday, Phelan cited the case of the USS Gerald R. Ford, America's largest and most expensive nuclear-powered aircraft carrier, which carried a price tag of $13 billion. The ship was struggling to feed its crew of over 4,500 because six of its eight ovens were out of action, and sailors were barred by contract from fixing them themselves.

"I am a huge supporter of right to repair," Phelan told the politicians. "I went on the carrier; they had eight ovens -- this is a ship that serves 15,300 meals a day. Only two were working. Six were out." He pointed out the Navy personnel are capable of fixing their own gear but are blocked by contracts that reserve repairs for vendors, often due to IP restrictions. That drives up costs and slows down basic fixes. According to the Government Accountability Office, about 70 percent [PDF] of a weapon system's life-cycle cost goes to operations and support. A similar issue plagued the USS Gerald Ford's weapons elevators, which move bombs from deep storage to the flight deck. They reportedly took more than four years after delivery to become fully operational, delaying the carrier's first proper deployment. "They have to come out and diagnose the problem, and then they'll fix it," Phelan said. "It is crazy. We should be able to fix this." "Our soldiers are immensely smart and capable and should not need to rely on a third party contractor to maintain their equipment. Oven repair is not rocket science: of course sailors should be able to repair their ovens," Kyle Wiens, CEO of repair specialists iFixit told The Register.

"It's gratifying to see Secretary Phelan echoing our work. The Navy bought it, the Navy should be able to fix it. Ownership is universal, and the same principles apply to an iPhone or a radar. Of course, the devil is in the details: the military needs service documentation, detailed schematics, 3D models of parts so they can be manufactured in the field, and so on. We're excited that the military is joining us on this journey to reclaim ownership."

Further reading: Army Will Seek Right To Repair Clauses In All Its Contracts

"Spaceballs 2" is officially in development nearly 40 years after the original parody hit theaters. The sequel, produced by Amazon MGM Studios and set for a 2027 release, will see Rick Moranis returning as Dark Helmet, Mel Brooks reprising his role as Yogurt, and Bill Pullman returning as Lone Starr. You can watch the teaser trailer on YouTube. IGN reports: A trailer for the sequel to the classic '80s sci-fi Star Wars parody arrived today. Although it mostly comes with a special message from Brooks himself and a familiar text crawl that pokes fun at the long, long list of sequels that have come to theaters in the last 38 years, this is the most official look at Spaceballs 2 we've seen yet.

"After 40 years, we asked, 'What do the fans want?' Brooks says in the Spaceballs 2 trailer. "But instead, we're making this movie." He added one final send-off: "May the Schwartz be with you."

Microsoft quietly teased its next-generation Xbox by showcasing its collaboration with Asus "to bring two Xbox Ally handhelds to the market later this year," writes The Verge's Tom Warren. From the report: The Xbox Ally handhelds run Windows, but the Xbox team has worked with Windows engineers to boot these PC handhelds into a full-screen Xbox UI. The Windows desktop doesn't even fully load, and you use the Xbox app UI as a launcher to get to all your games (even Steam titles) and apps like Discord. While the combination of Windows and Xbox here is intriguing, it's the way that Microsoft is positioning these devices that really caught my attention.

"This is an Xbox," said Microsoft during the reveal, clearly expanding its marketing push beyond a single console to every screen and device. It all felt like a true Xbox handheld reveal. There was even an 11-minute-long behind-the-scenes video on the Xbox Ally handhelds, filmed in a similar style to Microsoft's "Project Scorpio" Xbox One X reveal from nearly nine years ago. "This is a breakthrough moment for Xbox," Carl Ledbetter, a 30-year Microsoft design veteran, says in the video. Ledbetter helped design the original IntelliMouse, the Xbox 360 Slim, the Xbox One X, and plenty of other Microsoft devices. When Ledbetter is involved, you know it's more than just a simple partner project with Asus.

"For the first time, a player is going to be able to hold the power of the Xbox experience in their hand, and take it with them anywhere they want to go," says Xbox president Sarah Bond, in the same video. Microsoft thinks of the Xbox Ally handhelds as Xbox consoles with the freedom of Windows, and I think the next-gen Xbox is going to look very similar as a result. Related

An anonymous reader quotes a report from Ars Technica: The robot built by [Yuntao Ma and his team at ETH Zurich] was called ANYmal and resembled a miniature giraffe that plays badminton by holding a racket in its teeth. It was a quadruped platform developed by ANYbotics, an ETH Zurich spinoff company that mainly builds robots for the oil and gas industries. "It was an industry-grade robot," Ma said. The robot had elastic actuators in its legs, weighed roughly 50 kilograms, and was half a meter wide and under a meter long. On top of the robot, Ma's team fitted an arm with several degrees of freedom produced by another ETH Zurich spinoff called Duatic. This is what would hold and swing a badminton racket. Shuttlecock tracking and sensing the environment were done with a stereoscopic camera. "We've been working to integrate the hardware for five years," Ma said.

Along with the hardware, his team was also working on the robot's brain. State-of-the-art robots usually use model-based control optimization, a time-consuming, sophisticated approach that relies on a mathematical model of the robot's dynamics and environment. "In recent years, though, the approach based on reinforcement learning algorithms became more popular," Ma told Ars. "Instead of building advanced models, we simulated the robot in a simulated world and let it learn to move on its own." In ANYmal's case, this simulated world was a badminton court where its digital alter ego was chasing after shuttlecocks with a racket. The training was divided into repeatable units, each of which required that the robot predict the shuttlecock's trajectory and hit it with a racket six times in a row. During this training, like a true sportsman, the robot also got to know its physical limits and to work around them.

The idea behind training the control algorithms was to develop visuo-motor skills similar to human badminton players. The robot was supposed to move around the court, anticipating where the shuttlecock might go next and position its whole body, using all available degrees of freedom, for a swing that would mean a good return. This is why balancing perception and movement played such an important role. The training procedure included a perception model based on real camera data, which taught the robot to keep the shuttlecock in its field of view while accounting for the noise and resulting object-tracking errors.

Once the training was done, the robot learned to position itself on the court. It figured out that the best strategy after a successful return is to move back to the center and toward the backline, which is something human players do. It even came with a trick where it stood on its hind legs to see the incoming shuttlecock better. It also learned fall avoidance and determined how much risk was reasonable to take given its limited speed. The robot did not attempt impossible plays that would create the potential for serious damage -- it was committed, but not suicidal. But when it finally played humans, it turned out ANYmal, as a badminton player, was amateur at best. The findings have been published in the journal Science Robotics.

You can watch a video of the four-legged robot playing badminton on YouTube.

"Twelve years ago, a baby was born after someone used bitcoin to pay for a frozen egg IVF," writes longtime Slashdot reader bobdevine. "I, for one, welcome..."

Blockworks tells the story of how it all came to be: In February 2012 -- almost two years after Laszlo's pizzas -- a fertility doctor named C. Terence Lee set about a personal and professional quest to onboard his patients to Bitcoin by accepting BTC for his services. He started with a "Bitcoin accepted here" sign in his window, and then a Reddit post.

"Jumping in to do my part to support the BTC economy. This may be a historic first?" Lee wrote in a post on the BitMarket subreddit, titled: "[WTS][USA] Male Fertility Evaluation." Lee was offering a 15-minute consultation to discuss fertility questions and a sperm analysis in exchange for 15 BTC, valued at $70 or so at the time. "Actual value over $100," he wrote. Within three months, he'd found a Bitcoin customer.

"The patient turned out not... so much having a burning desire to know about his fertility, but he was a Bitcoin enthusiast, and he liked the idea of participating in history, in this ritual ceremony of what could be perhaps the world's first Bitcoin medical transaction," Lee explained at a 2013 conference in San Jose. "So we chatted about Bitcoin. He taught me a lot about mining. That's how he acquired bitcoin. And we did a sperm test, and it turned out he had really good sperm ... after it was done he sent me 15 bitcoins... "

Lee changed up his strategy to only quiz his most trusted patients. There was one couple, who, on their fourth attempt at IVF, agreed to pay in bitcoin for a 50% discount, with Lee walking them through exchanging U.S. dollars for bitcoin via CryptoXChange, a now-defunct exchange operating out of Australia. The sperm stuck, leading CNN to reveal, on this day in 2013, "the world's first Bitcoin baby" -- a baby bought entirely with bitcoin. Thirty bitcoin to be exact, an amount then worth $500, or $3 million today.

Longtime Slashdot reader theodp writes: The old Code.org curriculum page for middle and high school students has been changed to include a new Python Lab in the tech-backed nonprofit's K-12 offerings. Elsewhere on the site, a Computer Science and AI Foundations curriculum is described that includes units on 'Foundations of AI Programming [in Python]' and 'Insights from Data and AI [aka Data Science].' A more-detailed AI Foundations Syllabus 25-26 document promises a second semester of material is coming soon: "This semester offers an innovative approach to teaching programming by integrating learning with and about artificial intelligence (AI). Using Python as the primary language, students build foundational programming skills while leveraging AI tools to enhance computational thinking and problem-solving. The curriculum also introduces students to the basics of creating AI-powered programs, exploring machine learning, and applying data science principles."

Newly-posted videos on Code.org's YouTube channel appear to be intended to support the new Python-based CS & AI course. "Python is extremely versatile," explains a Walmart data scientist to open the video for Data Science: Using Python. "So, first of all, Python is one of the very few languages that can handle numbers very, very well." A researcher at the Univ. of Washington's Institute for Health Metrics and Evaluation (IHME) adds, "Python is the gold standard and what people expect data scientists to know [...] Key to us being able to handle really big data sets is our use of Python and cluster computing." Adding to the Python love, an IHME data analyst explains, "Python is a great choice for large databases because there's a lot of support for Python libraries."

Code.org is currently recruiting teachers to attend its CS and AI Foundations Professional Learning program this summer, which is being taught by Code.org's national network of university and nonprofit regional partners (teachers who signup have a chance to win $250 in DonorsChoose credits for their classrooms). A flyer for a five-day Michigan Professional Development program to prepare teachers for a pilot of the Code.org CS & A course touts the new curriculum as "an alternative to the AP [Computer Science] pathway" (teachers are offered scholarships covering registration, lodging, meals, and workshop materials).

Interestingly, Code.org's embrace of Python and Data Science comes as the nonprofit changes its mission to 'make CS and AI a core part of K-12 education' and launches a new national campaign with tech leaders to make CS and AI a graduation requirement. Prior to AI changing the education conversation, Code.org in 2021 boasted that it had lined up a consortium of tech giants, politicians, and educators to push its new $15 million Amazon-bankrolled Java AP CS A curriculum into K-12 classrooms. Just three years later, however, Amazon CEO Andy Jassy was boasting to investors that Amazon had turned to AI to automatically do Java coding that he claimed would have otherwise taken human coders 4,500 developer-years to complete.