Will Knight, writing for Wired: Goat Simulator 3 is a surreal video game in which players take domesticated ungulates on a series of implausible adventures, sometimes involving jetpacks. That might seem an unlikely venue for the next big leap in artificial intelligence, but Google DeepMind today revealed an AI program capable of learning how to complete tasks in a number of games, including Goat Simulator 3. Most impressively, when the program encounters a game for the first time, it can reliably perform tasks by adapting what it learned from playing other games. The program is called SIMA, for Scalable Instructable Multiworld Agent, and it builds upon recent AI advances that have seen large language models produce remarkably capable chabots like ChatGPT.

[...] DeepMind's latest video game project hints at how AI systems like OpenAI's ChatGPT and Google's Gemini could soon do more than just chat and generate images or video, by taking control of computers and performing complex commands. "The paper is an interesting advance for embodied agents across multiple simulations," says Linxi "Jim" Fan, a senior research scientist at Nvidia who works on AI gameplay and was involved with an early effort to train AI to play by controlling a keyboard and mouse with a 2017 OpenAI project called World of Bits. Fan says the Google DeepMind work reminds him of this project as well as a 2022 effort called VPT that involved agents learning tool use in Minecraft.

"SIMA takes one step further and shows stronger generalization to new games," he says. "The number of environments is still very small, but I think SIMA is on the right track." [...] For the SIMA project, the Google DeepMind team collaborated with several game studios to collect keyboard and mouse data from humans playing 10 different games with 3D environments, including No Man's Sky, Teardown, Hydroneer, and Satisfactory. DeepMind later added descriptive labels to that data to associate the clicks and taps with the actions users took, for example whether they were a goat looking for its jetpack or a human character digging for gold. The data trove from the human players was then fed into a language model of the kind that powers modern chatbots, which had picked up an ability to process language by digesting a huge database of text. SIMA could then carry out actions in response to typed commands. And finally, humans evaluated SIMA's efforts inside different games, generating data that was used to fine-tune its performance. Further reading: DeepMind's blog post.

The openVertebrate (oVert) project is now complete, offering free online access to incredibly detailed 3D images of over 13,000 vertebrates. New Atlas reports: More than a research project, oVert was a collaboration between like-minded specialists across 25 institutions whose sole objective was to add value to museum collections by making them more widely available. Importantly, these images provide an insight that would only otherwise be obtained by destructive dissection and tissue sampling. Over the course of six years, project members took CT scans of more than half the classes, or genera, of all amphibians, reptiles, fishes, birds, and mammals, rendering models that provide an intimate look at the creatures, inside and out. [...]

For a working example of the incredible detail and information contained in oVert's images, head to Sketchfab to view a sample of interactive 3D models like the olive sea snake. Or go to MorphoSource to access the full oVert repository. [...] If you have 30 minutes to spare, check out the full video produced by the Florida Museum, which showcases a collection of diverse oVert specimens. A study presenting a summary of the oVert project was published in the journal BioScience.

A Toronto Sun columnist writes that two Canadian civil liberties groups are "sounding alarms" about the proposed new Online Harms Act (C-63): The Canadian Civil Liberties Association (CCLA) and the Canadian Constitution Foundation (CCF) say while the proposed legislation contains legitimate measures to protect children from online sexual abuse, cyber-bulling and self-harm, and to combat the spread of so-called "revenge porn," its provisions to prevent the expression of hate are draconian, vaguely worded and an attack on free speech... "[D]on't be fooled," said CCF executive director Joanna Baron. "Most of the bill is aimed at restricting freedom of expression. This heavy-handed bill needs to be severely pared down to comply with the constitution."

Both the CCLA and CCF warn the bill could lead to life imprisonment for someone convicted of "incitement to genocide" — a vague term only broadly defined in the bill — and up to five years in prison for other vaguely defined hate speech crimes. The legislation, for example, defines illegal hate speech as expressing "detestation or vilification of an individual or group of individuals," while legally protected speech, "expresses dislike or disdain, or ... discredits, humiliates, hurts or offends." The problem, critics warn, will be determining in advance which is which, with the inevitable result that people and organizations will self-censor themselves because of fear of being prosecuted criminally, or fined civilly, for what is actually legal speech.
"Both the CCLA and the CCF say the proposed legislation, known as Bill C-63, will require major amendments before becoming law to pass constitutional muster," according to the columnist.

Some specific complains:

• The CCF argues that the Bill "would allow judges to put prior restraints on people who they believe on reasonable grounds may commit speech crimes in the future."

• The CCLA adds that the proposed bill also grants authorities "sweeping new search powers of electronic data, with no warrant requirement," according to the Toronto Sun, and also warns about the creation of a government-appointed "digital safety commission" given "vast authority" and "sweeping powers" to "interpret the law, make up new rules, enforce them, and then serve as judge, jury, and executioner."

And in addition, the CCF points out under the proposed rules the Canadian Human Rights Commission "could order fines of up to $50,000, and awards of up to $20,000 paid to complainants, who in some cases would be anonymous."

"Findings would be based on a mere 'balance of probabilities' standard rather than the criminal standard of proof beyond a reasonable doubt... The mere threat of human rights complaints will chill large amounts of protected speech."

Thanks to long-time Slashdot reader sinij for sharing the article.

An anonymous reader shared this article from Futurism: More than two years since MIT claimed its scientists achieved a breakthrough in fusion energy, the university is claiming that new research "confirms" that the magnet-based design used in those tests isn't just impressive in a lab setting, but is practical and economically viable, too.

These findings come from a comprehensive report which features six separate [peer-reviewed] studies published in the journal IEEE Transactions on Applied Superconductivity this month, assessing the feasibility of the superconductor magnets used by MIT scientists in their landmark test conducted in September 2021.
"Together, the papers describe the design and fabrication of the magnet and the diagnostic equipment needed to evaluate its performance," MIT announced, "as well as the lessons learned from the process.

"Overall, the team found, the predictions and computer modeling were spot-on, verifying that the magnet's unique design elements could serve as the foundation for a fusion power plant." The successful test of the magnet, says Hitachi America Professor of Engineering Dennis Whyte, who recently stepped down as director of MIT's Plasma Science and Fusion Center, was "the most important thing, in my opinion, in the last 30 years of fusion research." Before the [2021] demonstration, the best-available superconducting magnets were powerful enough to potentially achieve fusion energy — but only at sizes and costs that could never be practical or economically viable. Then, when the tests showed the practicality of such a strong magnet at a greatly reduced size, "overnight, it basically changed the cost per watt of a fusion reactor by a factor of almost 40 in one day," Whyte says.

"Now fusion has a chance," Whyte adds

An anonymous reader shared this article from the Washington Post: A much-debated theory holds that 4 billion years ago, give or take, long before the appearance of dinosaurs or even bacteria, the primordial soup contained only the possibility of life. Then a molecule called RNA took a dramatic step into the future: It made a copy of itself. Then the copy made a copy, and over the course of many millions of years, RNA begot DNA and proteins, all of which came together to form a cell, the smallest unit of life able to survive on its own.

Now, in an important advance supporting this RNA World theory, scientists at the Salk Institute for Biological Studies in La Jolla, Calif., have carried out a small but essential part of the story. In test tubes, they developed an RNA molecule that was able to make accurate copies of a different type of RNA. The work, published in the journal Proceedings of the National Academy of Sciences, gets them closer to the grand goal of growing an RNA molecule that makes accurate copies of itself.

"Then it would be alive," said Gerald Joyce, president of Salk and one of the authors of the new paper. "So, this is the road to how life can arise in a laboratory or, in principle, anywhere in the universe...."

John Chaput, a professor of pharmaceutical sciences at the University of California at Irvine who did not participate in the study, called the crossing of that threshold by the Salk team "monumental," adding that "at first, I looked on it as a little bit jaw-dropping. ... It's super-neat."
The Post adds that "the scenario they tested probably mimics one of the earliest stirrings of evolution." And Michael Kay, a professor of biochemistry at University of Utah, says the new paper has given the RNA World theory "key evidence" to show "it is plausible and reasonable." He added that the RNA copier developed at Salk will "provide a valuable tool for people wanting to do directed evolution experiments."

Astronomers have observed a distant planet that could be entirely covered in a deep water ocean, in findings that advance the search for habitable conditions beyond Earth. From a report: The observations, by Nasa's James Webb space telescope (JWST), revealed water vapour and chemical signatures of methane and carbon dioxide in the atmosphere of the exoplanet, which is twice Earth's radius and about 70 light years away. This chemical mix is consistent with a water world where the ocean would span the entire surface, and a hydrogen-rich atmosphere, according to researchers from the University of Cambridge, although they do not envisage a balmy, inviting seascape. "The ocean could be upwards of 100 degrees [Celsius] or more," said Prof Nikku Madhusudhan, who led the analysis. At high atmospheric pressure, an ocean this hot could still be liquid, "but it's not clear if it would be habitable," he added.

This interpretation is favoured in a paper published in the journal Astronomy and Astrophysics Letters, but is disputed by a Canadian team that made additional observations of the same exoplanet, which is known as TOI-270 d. They detected the same atmospheric chemicals but argue the planet would be too hot for liquid water -- possibly 4,000C -- and instead would feature a rocky surface topped by an incredibly dense atmosphere of hydrogen and water vapour. Whichever view wins out, these latest observations showcase the stunning insights James Webb is giving into the nature of planets beyond our solar system. The telescope captures the starlight that has been filtered through the atmospheres of orbiting planets to give detailed breakdowns of the chemical elements present. From this, astronomers can build up a picture of conditions at a planet's surface -- and the likelihood of life being able to survive there.

An anonymous reader quotes a report from NPR: ExxonMobil faces dozens of lawsuits from states and localities alleging the company lied for decades about its role in climate change and the dangers of burning fossil fuels. But now, ExxonMobil is going on the offensive with a lawsuit targeting investors who want the company to slash pollution that's raising global temperatures. Investors in publicly-traded companies like ExxonMobil try to shape corporate policies by filing shareholder proposals that are voted on at annual meetings. ExxonMobil says it's fed up with a pair of investor groups that it claims are abusing the system by filing similar proposals year after year in an effort to micromanage its business.

ExxonMobil's lawsuit points to growing tensions between companies and activist investors calling for corporations to do more to shrink their climate impact and prepare for a hotter world. Interest groups on both sides of the case say it could unleash a wave of corporate litigation against climate activists. It is happening at a time when global temperatures continue to rise, and corporate analysts say most companies aren't on track to meet targets they set to reduce their heat-trapping emissions. "Exxon is really upping the ante here in a big way by bringing this case," says Josh Zinner, chief executive of an investor coalition called the Interfaith Center on Corporate Accountability, whose members include a defendant in the ExxonMobil case. "Other companies could use this tactic not just to block resolutions," Zinner says, "but to intimidate their shareholders from even bringing these [climate] issues to the table."

ExxonMobil said in an email that it is suing the investor groups Arjuna Capital and Follow This because the U.S. Securities and Exchange Commission (SEC) isn't enforcing rules governing when investors can resubmit shareholder proposals. A court is the "the right place to get clarity on SEC rules," ExxonMobil said, adding that the case "is not about climate change." Other corporations are watching ExxonMobil's case, says Charles Crain, a vice president at the National Association of Manufacturers, which represents ExxonMobil and other industrial companies. "If companies are decreasingly able to get the SEC to allow them to exclude proposals that are obviously politically motivated, then the next question is, well, can the courts succeed where the SEC has failed -- or, more accurately, not even tried?," Crain says. "The shareholder proposal from Arjuna and Follow This called for ExxonMobil to cut emissions faster from its own operations and from its supply chain, including the pollution that's created when customers burn its oil and natural gas," notes NPR. "That indirect pollution, known as Scope 3 emissions, accounts for 90% of ExxonMobil's carbon footprint."

"ExxonMobil says it is committed to cutting emissions from its operations. But the idea that activist investors like Arjuna and Follow This can quickly push the company out of the oil and gas business with new climate policies is 'simplistic and against the interests of the vast majority of ExxonMobil shareholders,' the company said in a court filing in Texas." The company added that while shareholders are entitled to submit proposals, they don't have "an unlimited right to put forth any proposal to do anything."

"Their intent is to advance their agenda rather than creating long-term value for shareholders," ExxonMobil said of Arjuna and Follow This.

An anonymous reader quotes a report from The Guardian: Microplastics have been found in every human placenta tested in a study, leaving the researchers worried about the potential health impacts on developing fetuses. The scientists analyzed 62 placental tissue samples and found the most common plastic detected was polyethylene, which is used to make plastic bags and bottles. A second study revealed microplastics in all 17 human arteries tested and suggested the particles may be linked to clogging of the blood vessels. [...] Prof Matthew Campen, at the University of New Mexico, US, who led the research, said: "If we are seeing effects on placentas, then all mammalian life on this planet could be impacted. That's not good." He said the growing concentration of microplastics in human tissue could explain puzzling increases in some health problems, including inflammatory bowel disease (IBD), colon cancer in people under 50, and declining sperm counts. A 2021 study found people with IBD had 50% more microplastics in their feces. Campen said he was deeply concerned by the growing global production of plastics because it meant the problem of microplastics in the environment "is only getting worse."

The research, published in the Toxicological Sciences journal, found microplastics in all the placenta samples tested, with concentrations ranging from 6.5 to 790 micrograms per gram of tissue. PVC and nylon were the most common plastics detected, after polyethylene. The microplastics were analyzed by using chemicals and a centrifuge to separate them from the tissue, then heating them and analyzing the characteristic chemical signature of each plastic. The same technique was used by scientists at the Capital Medical University in Beijing, China, to detect microplastics in human artery samples. The concentration of microplastics in placentas was especially troubling, Campen said. The tissue grows for only eight months, as it starts to form about a month into pregnancy. "Other organs of your body are accumulating over much longer periods of time," he added.

Undersea data cables in the Red Sea have reportedly been damaged, months after Yemeni Houthi rebels threatened to do so. From a report: At least 15 submarine cables pass through the Bab al-Mandab Strait at the southern end of the Red Sea, a body of water just 26km wide at some points. Yemen is the Strait's northern shore. The first reports of damage to submarine cables off the coast of Yemen began emerged on Monday morning, with Israeli news outlet Globes claiming that four cables (EIG, AAE-1, Seacom and TGN-EA) had experienced damage. Seacom has reportedly confirmed damage to a cable it operates on a stretch between Kenya and Egypt.

"The location of the cable break is significant due to its geopolitical sensitivity and ongoing tensions, making it a challenging environment for maintenance and repair operations," Seacom said. "The team is currently working towards restoration timelines and will communicate these plans with our clients." Globes attributed the outages to the Iran-backed Houthis, and claimed the damage was "significant, but not critical," because several other undersea cables serve the region. Seacom has already reassured customers it has re-routed traffic onto other cables. While the world has a decent supply of cable repair ships, they are booked up well in advance so finding one ready to work is not always possible. Nor are cable repairs easy: it takes time to find and retrieve a damaged segment and reconnect it.

An anonymous reader quotes a report from Ars Technica: India's plan to let a moratorium on imposing customs duties on cross-border digital e-commerce transactions expire may end up hurting India's more ambitious plans to become a global chip leader in the next five years, Reuters reported. It could also worsen the global chip shortage by spiking semiconductor industry costs at a time when many governments worldwide are investing heavily in expanding domestic chip supplies in efforts to keep up with rapidly advancing technologies.

Early next week, world leaders will convene at a World Trade Organization (WTO) meeting, just before the deadline to extend the moratorium hits in March. In place since 1998, the moratorium has been renewed every two years since -- but India has grown concerned that it's losing significant revenues from not imposing taxes as demand rises for its digital goods, like movies, e-books, or games. Hoping to change India's mind, a global consortium of semiconductor industry associations known as the World Semiconductor Council (WSC) sent a letter to Indian Prime Minister Narendra Modi on Thursday. Reuters reviewed the letter, reporting that the WSC warned Modi that ending the moratorium "would mean tariffs on digital e-commerce and an innumerable number of transfers of chip design data across countries, raising costs and worsening chip shortages."

Pointing to Modi's $10 billion semiconductor incentive package -- which Modi has said is designed to advance India's industry through "giant leaps" in its mission to become a technology superpower -- the WSC cautioned Modi that pushing for customs duties may dash those global chip leader dreams. Studies suggest that India should be offering tax incentives, not potentially threatening to impose duties on chip design data. That includes a study from earlier this year, released after the Semiconductor Industry Association and the India Electronics and Semiconductor Association commissioned a report from the Information Technology and Innovation Foundation (ITIF). [...] It's possible that India and other developing nations may seek to narrow the moratorium rather than end it. An Indian government official told Reuters that "these issues need to be discussed and settled" before India can make a decision on whether to extend the moratorium.

Bruce66423 writes: The data watchdog has ordered a leisure centre group to stop using facial recognition tech to monitor its staff. The Information Commissioner's Office (ICO) says Serco Leisure has been unlawfully processing the biometric data of more than 2,000 employees at 38 UK leisure facilities. It did so to check staff attendance - a practice the ICO said was "neither fair nor proportionate."

Serco Leisure says it will comply with the enforcement notice. But it added it had taken legal advice prior to installing the cameras, and said staff had not complained about them during the five years they had been in place. The firm said it was to "make clocking-in and out easier and simpler" for workers. "We engaged with our team members in advance of its roll-out and its introduction was well-received by colleagues," the company said in a statement.

An anonymous reader quotes a report from Princeton Engineering: In the blink of an eye, the unruly, superheated plasma that drives a fusion reaction can lose its stability and escape the strong magnetic fields confining it within the donut-shaped fusion reactor. These getaways frequently spell the end of the reaction, posing a core challenge to developing fusion as a non-polluting, virtually limitless energy source. But a Princeton-led team composed of engineers, physicists, and data scientists from the University and the Princeton Plasma Physics Laboratory (PPPL) have harnessed the power of artificial intelligence to predict -- and then avoid -- the formation of a specific plasma problem in real time.

In experiments at the DIII-D National Fusion Facility in San Diego, the researchers demonstrated their model, trained only on past experimental data, could forecast potential plasma instabilities known as tearing mode instabilities up to 300 milliseconds in advance. While that leaves no more than enough time for a slow blink in humans, it was plenty of time for the AI controller to change certain operating parameters to avoid what would have developed into a tear within the plasma's magnetic field lines, upsetting its equilibrium and opening the door for a reaction-ending escape.

"By learning from past experiments, rather than incorporating information from physics-based models, the AI could develop a final control policy that supported a stable, high-powered plasma regime in real time, at a real reactor," said research leader Egemen Kolemen, associate professor of mechanical and aerospace engineering and the Andlinger Center for Energy and the Environment, as well as staff research physicist at PPPL. The research opens the door for more dynamic control of a fusion reaction than current approaches, and it provides a foundation for using artificial intelligence to solve a broad range of plasma instabilities, which have long been obstacles to achieving a sustained fusion reaction. The team published their findings in the journal Nature.

Every OpenAI release elicits awe and anxiety as capabilities advance, evident in Sora's strikingly realistic AI-generated video clips that went viral while unsettling industries reliant on original footage. But the company is again being secretive in all the wrong places about AI that can be used to spread misinformation. From a report: As usual, OpenAI won't talk about the all-important ingredients that went into this new tool, even as it releases it to an array of people to test before going public. Its approach should be the other way around. OpenAI needs to be more public about the data used to train Sora, and more secretive about the tool itself, given the capabilities it has to disrupt industries and potentially elections. OpenAI Chief Executive Officer Sam Altman said that red-teaming of Sora would start on Thursday, the day the tool was announced and shared with beta testers. Red-teaming is when specialists test an AI model's security by pretending to be bad actors who want to hack or misuse it. The goal is to make sure the same can't happen in the real world. When I asked OpenAI how long it would take to run these tests on Sora, a spokeswoman said there was no set length. "We will take our time to assess critical areas for harms or risks," she added.

The company spent about six months testing GPT-4, its most recent language model, before releasing it last year. If it takes the same amount of time to check Sora, that means it could become available to the public in August, a good three months before the US election. OpenAI should seriously consider waiting to release it until after voters go to the polls. [...] OpenAI is meanwhile being frustratingly secretive about the source of the information it used to create Sora. When I asked the company about what datasets were used to train the model, a spokeswoman said the training data came "from content we've licensed, and publicly available content." She didn't elaborate further.

An anonymous reader quotes a report from Wired: We already know thatOpenAI's chatbots can pass the bar exam without going to law school. Now, just in time for the Oscars, a new OpenAI app called Sora hopes to master cinema without going to film school. For now a research product, Sora is going out to a few select creators and a number of security experts who will red-team it for safety vulnerabilities. OpenAI plans to make it available to all wannabe auteurs at some unspecified date, but it decided to preview it in advance. Other companies, from giants like Google to startups likeRunway, have already revealed text-to-video AI projects. But OpenAI says that Sora is distinguished by its striking photorealism -- something I haven't seen in its competitors -- and its ability to produce longer clips than the brief snippets other models typically do, up to one minute. The researchers I spoke to won't say how long it takes to render all that video, but when pressed, they described it as more in the "going out for a burrito" ballpark than "taking a few days off." If the hand-picked examples I saw are to be believed, the effort is worth it.

OpenAI didn't let me enter my own prompts, but it shared four instances of Sora's power. (None approached the purported one-minute limit; the longest was 17 seconds.) The first came from a detailed prompt that sounded like an obsessive screenwriter's setup: "Beautiful, snowy Tokyo city is bustling. The camera moves through the bustling city street, following several people enjoying the beautiful snowy weather and shopping at nearby stalls. Gorgeous sakura petals are flying through the wind along with snowflakes." The result is a convincing view of what is unmistakably Tokyo, in that magic moment when snowflakes and cherry blossoms coexist. The virtual camera, as if affixed to a drone, follows a couple as they slowly stroll through a streetscape. One of the passersby is wearing a mask. Cars rumble by on a riverside roadway to their left, and to the right shoppers flit in and out of a row of tiny shops.

It's not perfect. Only when you watch the clip a few times do you realize that the main characters -- a couple strolling down the snow-covered sidewalk -- would have faced a dilemma had the virtual camera kept running. The sidewalk they occupy seems to dead-end; they would have had to step over a small guardrail to a weird parallel walkway on their right. Despite this mild glitch, the Tokyo example is a mind-blowing exercise in world-building. Down the road, production designers will debate whether it's a powerful collaborator or a job killer. Also, the people in this video -- who are entirely generated by a digital neural network -- aren't shown in close-up, and they don't do any emoting. But the Sora team says that in other instances they've had fake actors showing real emotions. "It will be a very long time, if ever, before text-to-video threatens actual filmmaking," concludes Wired. "No, you can't make coherent movies by stitching together 120 of the minute-long Sora clips, since the model won't respond to prompts in the exact same way -- continuity isn't possible. But the time limit is no barrier for Sora and programs like it to transform TikTok, Reels, and other social platforms."

"In order to make a professional movie, you need so much expensive equipment," says Bill Peebles, another researcher on the project. "This model is going to empower the average person making videos on social media to make very high-quality content."

Further reading: OpenAI Develops Web Search Product in Challenge To Google

OpenAI must face a claim that it violated California unfair competition law by using copyrighted books from comedian Sarah Silverman and other authors to train ChatGPT without permission. From a report: But US District Judge Araceli Martinez-Olguin on Monday also dismissed a number of Silverman and her coplaintiffs' other legal claims, including allegations of vicarious copyright infringement, violations of the Digital Millennium Copyright Act, negligence, and unjust enrichment. The judge gave the authors the opportunity to amend their proposed class action by March 13 to fix the defects in the complaint.

The core of the lawsuit remains alive, as OpenAI's motion to dismiss, filed last summer, didn't address Silverman's claim of direct copyright infringement for copying millions of books across the internet without permission. Courts haven't yet determined whether using copyrighted work to train AI models falls under copyright law's fair use doctrine, shielding the companies from liability. Although Martinez-Olguin allowed the unfair competition claim to advance, she said the claim could be preempted by the federal Copyright Act, which prohibits state law claims that allege the same violation as a copyright claim.

Grammarly, the parent firm of eponymous writing assistant service, is laying off 230 employees worldwide as part of a "business restructuring," the company announced this week. From a report: The layoffs are part of Grammarly's efforts to advance its focus on "the AI-enabled workplace of the future," the company says. "To arrive at today's decision, we took a look at our organizational design and the current skillsets of our teams through the lens of our company strategy," Grammarly CEO Rahul Roy-Chowdhury said in a memo to employees. "As we strengthen our focus toward driving the AI-enabled workplace and deepen our technical investments in AI, we will need a different mix of capabilities and skillsets. We also need to redesign our organization to improve the quality and speed of collaboration -- and that means, among other things, restructuring roles and co-locating certain teams." Roy-Chowdhury went on to say that the layoffs are not a cost-cutting measure, noting that Grammarly's financial position is "strong." He says the layoffs affects most Grammarly functions and geographies.

Kevin Purdy reports via Ars Technica: Sometimes, a great song can come from great pain. The Game Boy Advance (GBA), its software having crashed nearly two hours ago, will, for example, play a tune based on the game inside it. And if you listen closely enough -- using specialty hardware and code -- you can tell exactly what game it was singing about. And then theoretically play that same game. This was discovered recently by TheZZAZZGlitch, whose job is to "sadistically glitch and hack the crap out of Pokemon games. It's "hardly a ready-to-use solution," the modder notes, as it requires a lot of tuning specific to different source formats. So while there are certainly easier ways to get GBA data from a cartridge, none make you feel quite so much like an audio datamancer.

After crashing a GBA and recording it over four hours, the modder saw some telltale waveforms in a sound file at about the 1-hour, 50-minute mark. Later in the sound-out, you can hear the actual instrument sounds and audio samples the game contains, played in sequence. Otherwise, it's 8-bit data at 13,100 Hz, and at times, it sounds absolutely deranged. "2 days of bugfixing later," the modder had a Python script ready that could read the audio from a clean recording of the GBA's crash dump. Did it work? Not without more troubleshooting. One issue with audio-casting ROM data is that there are large sections of 0-byte data in the ROM, which are hard to parse as mute sounds. After running another script that realigned sections based on their location in the original ROM, the modder's ROM was 99.76 percent accurate but "still didn't boot tho." TheZZAZZGlitch later disclaimed that, yes, this is technically using known ROM data to surface unknown data, or "cheating," but there are assumptions and guesses one could make if you were truly doing this blind.

The next fix was to refine the sound recording. By recording three times and merging them with a "majority vote" algorithm, their accuracy notched up to 99.979 percent. That output ROM booted -- but with glitched text and a title screen crash. After seven different recordings are meshed and filtered for blank spaces, they achieve 100 percent parity. You can watch the video describing this feat here. Used source code is also available under the file name "gbacrashsound_dumper.zip."

"It's the third all-private astronaut mission to the International Space Station," writes NASA — and they're expected to start boarding within the next hour!

Watch it all on the official stream of NASA TV.

More details from Ars Technica: The four-man team lifted off from NASA's Kennedy Space Center in Florida aboard a SpaceX Falcon 9 rocket Thursday, kicking off a 36-hour pursuit of the orbiting research laboratory. Docking is scheduled for Saturday morning. This two-week mission is managed by Houston-based Axiom Space, which is conducting private astronaut missions to the ISS as a stepping stone toward building a fully commercial space station in low-Earth orbit by the end of this decade.

Axiom's third mission, called Ax-3, launched at 4:49 pm EST (21:49 UTC) Thursday. The four astronauts were strapped into their seats inside SpaceX's Dragon Freedom spacecraft atop the Falcon 9 rocket. This is the 12th time SpaceX has launched a human spaceflight mission, and could be the first of five Dragon crew missions this year.
NASA reports that the crew "will spend about two weeks conducting microgravity research, educational outreach, and commercial activities aboard the space station." NASA Administrator Bill Nelson said "During their time aboard the International Space Station, the Ax-3 astronauts will carry out more than 30 scientific experiments that will help advance research in low-Earth orbit. As the first all-European commercial astronaut mission to the space station, the Ax-3 crew is proof that the possibility of space unites us all...."

The Dragon spacecraft will dock autonomously to the forward port of the station's Harmony module as early as 4:19 a.m. [EST] Saturday. Hatches between Dragon and the station are expected to open after 6 a.m. [EST], allowing the Axiom crew to enter the complex for a welcoming ceremony and start their stay aboard the orbiting laboratory.... The Ax-3 astronauts are expected to depart the space station Saturday, February 3, pending weather, for a return to Earth and splashdown at a landing site off the coast of Florida.

An anonymous reader quotes a report from MIT Technology Review: Google DeepMind has created an AI system that can solve complex geometry problems. It's a significant step towards machines with more human-like reasoning skills, experts say. Geometry, and mathematics more broadly, have challenged AI researchers for some time. Compared with text-based AI models, there is significantly less training data for mathematics because it is symbol driven and domain specific, says Thang Wang, a coauthor of the research, which is published in Nature today. Solving mathematics problems requires logical reasoning, something that most current AI models aren't great at. This demand for reasoning is why mathematics serves as an important benchmark to gauge progress in AI intelligence, says Wang.

DeepMind's program, named AlphaGeometry, combines a language model with a type of AI called a symbolic engine, which uses symbols and logical rules to make deductions. Language models excel at recognizing patterns and predicting subsequent steps in a process. However, their reasoning lacks the rigor required for mathematical problem-solving. The symbolic engine, on the other hand, is based purely on formal logic and strict rules, which allows it to guide the language model toward rational decisions. These two approaches, responsible for creative thinking and logical reasoning respectively, work together to solve difficult mathematical problems. This closely mimics how humans work through geometry problems, combining their existing understanding with explorative experimentation.

DeepMind says it tested AlphaGeometry on 30 geometry problems at the same level of difficulty found at the International Mathematical Olympiad, a competition for top high school mathematics students. It completed 25 within the time limit. The previous state-of-the-art system, developed by the Chinese mathematician Wen-Tsun Wu in 1978, completed only 10. "This is a really impressive result," says Floris van Doorn, a mathematics professor at the University of Bonn, who was not involved in the research. "I expected this to still be multiple years away." DeepMind says this system demonstrates AI's ability to reason and discover new mathematical knowledge. "This is another example that reinforces how AI can help us advance science and better understand the underlying processes that determine how the world works," said Quoc V. Le, a scientist at Google DeepMind and one of the authors of the research, at a press conference.

With subsidiaries like WebMD and CarsDirect, the digital media company "Internet Brands" has over 5,000 employees — and 20 offices in expensive locations like Seattle, San Francisco, Chicago, and New York City.

Their solution? Create a cheery corporate video on the company's Vimeo account announcing a new (non-negotiable) hybrid return-to-office policy.

SFGate.com calls it "the return-to-office fight's most bizarre corporate messaging yet." Executives from Internet Brands' internet brands are so wide-eyed and declarative, they appear to be at their breaking point in wanting more workers at the office. "Too big of a group hasn't returned," CEO Bob Brisco complains, near the video's opening. The vehicle to deliver that message has it all: rapid jump cuts, odd sound mixing and executives clearly reading their lines from teleprompters. There's plainly faked office b-roll and the obvious use of green screens. There's even some enthusiastic (and awkward) sashaying to the New Orleans classic "Iko Iko" — one wonders if participating employees received compensation.
Interestingly, "Iko Iko" is a song about a collision between two rival tribes, which opens with a threat to "set your flag on fire." But subtitles on the video translate the song's Creole patois word "Jockamo" into the corporate-positive phrase "we mean business." It's like the executives started their brainstorming session by watching 12 music videos, an iMovie editing tutorial and the entirety of "The Office" Season 1. Mixed in with the corporate b-roll of a copy machine spitting out paper and a too-loud video of a hand crushing a Dr. Pepper can, the company's executives sketch out the vibe of a return-to-office plan — though no specifics.
The video ends with CEO Bob Brisco thanking the team, before gently adding "I want to leave you with this. We aren't asking or negotiating at this point. We're informing, of how we need to work together going forward....

"Thank you, in advance, for your help."

The video has since started going viral on Reddit's "Work Reform" subreddit, with a headline calling it a "bizarre and cringe video mocking working from home and threatening employees who continue to avoid the office." (This take drew 1,300 upvotes, and 241 comments, like " 'By the way this is a threat' is a nice way to end it.")

Footage of at least some of the executives was clearly just spliced in front of still photos showing what offices look like. But besides the wooden delivery, what really struck me is how generic all the words were:

• "Working together face-to-face helps us create ideas, faster, and better."

• "We're able to collaborate, and help each other to be better leaders."

• "We're better when we're together, and we need to be our best — to crush our competition." [Footage of the word "competition" being erased from a whiteboard. And then, of someone crushing a Dr. Pepper can...]