Alterslash picks up to the best 5 comments from each of the day’s Slashdot stories, and presents them on a single page for easy reading.
Suno Says It Will Start Watermarking Songs
Suno says it will begin watermarking and fingerprinting AI-generated songs, tighten download policies to curb mass distribution, and explicitly prohibit deceptive audio and unauthorized voice or likeness cloning. The changes come as the company faces mounting copyright lawsuits, a recent adverse ruling in Germany, and scrutiny over a past data breach that revealed training-data sources. TechCrunch reports:
In a blog post, co-founder and CEO Mikey Shulman shared core principles and said that the platform wants to promote original creation while enabling more people to make music with its AI tools. One of the key points of contention involved users uploading AI-generated songs on other streaming platforms and gaming the system to earn revenue. Suno said that now it will use audio watermarking and fingerprinting to prevent misuse on other streaming platforms. It’s not clear if Suno will use an existing system like Google’s Synth ID or adopt a new one, and the company did not say when contacted by TechCrunch about this.
The startup also signed an agreement with lyrics provider Musixmatch to use its Sentinel system for copyright detection, the blog post said. […] The company added that it plans to add a new download policy to bar mass distribution on streaming platforms, but declined to provide details on the record. Suno has also changed its community guidelines to explicitly prohibit “deceptive audio presented as real” and “using a real person’s voice or likeness without permission” to prevent copycats.
ByteDance Is Training a 10-Trillion-Parameter Model To Chase the Frontier
ByteDance is reportedly training an AI model with roughly 10 trillion parameters as it tries to close the gap with leading frontier systems such as Anthropic’s Mythos. The model is still in early pre-training, and its eventual performance will depend on more than scale alone, but the project underscores how aggressively Chinese firms are pushing frontier AI despite limits on access to advanced chips. The Next Web reports:
The size is itself the statement. At roughly 10 trillion parameters, the model would be more than three times as large as Moonshot’s Kimi K3, which sits among the biggest Chinese models today at about 2.8 trillion. […] Parameter count is not everything, of course. Bigger models are not automatically better, and the industry has learned that data quality, training technique and efficiency often matter as much as raw scale. Even so, committing the compute to train a model this size is a declaration in its own right, a signal that ByteDance wants to compete at the very top rather than ship a capable also-ran.
Trump Orders New 15% Tariff On Key Material For Solar Panels, Microchips
President Trump has ordered a 15% tariff on imported products made with polysilicon, a key material for semiconductors and solar panels. The new tariff will take effect on December 4th. The Guardian reports:
The executive order signed by the president on Thursday evening said: “The plan of action in this proclamation will, among other things, help ensure the commercial viability of United States production of polysilicon and its derivatives that is necessary to meet United States economic and national security requirements.” Polysilicon, an ultra-pure form of silicon, is an important ingredient in making the semiconductors vital for AI processing power, datacentres and solar power generation. US solar factories have long accused Chinese rivals of dumping cheaper panels on the market, which they say have been enabled by excessive government subsidies and by moving manufacturing to other countries to dodge US tariffs.
[…] The US has two main polysilicon factories, including Hemlock Semiconductor, which operates a plant in Michigan and is a joint venture between the US tech company Corning and Japan’s Shin-Etsu Handotai. The Munich-based Wacker Chemie runs a factory in Tennessee. Trump said in the order that he had accepted recommendations by the commerce secretary, Howard Lutnick, to set minimum import prices of $21 a kilogram for polysilicon, $100 a kilogram for polysilicon ingots and wafers, $0.22 a watt for solar cells, and $0.38 a watt for solar modules or panels. The order also allows the commerce department to create an incentive program for companies that invest in factories to produce polysilicon or derivative products.
AMD Buys AI Chip Startup Taalas That Hardwires AI Models Into Its Silicon
An anonymous reader quotes a report from CNBC:
On Thursday, AMD said it’s entered into an agreement to acquire Taalas, a Toronto-based startup that makes chips for inference. Taalas’ accelerators are customized, or hard-wired for a single AI model, rather than being general purpose. In exchange for that loss of flexibility, Taalas’ technology promises a less-expensive chip that it says can produce output for specific models thousands of times faster than a traditional GPU. An AMD representative declined to provide a purchase price for the transaction. Taalas has raised a total of $219 million in venture funding since its 2023 founding.
Taalas’ current chip runs a small version of Meta’s Llama 3.1 model, though the company is working on chips for bigger and more advanced models. It’s manufactured using an older Taiwan Semiconductor Manufacturing Co. process, and uses speedy SRAM memory on the chip itself. Taalas CEO Ljubisa Bajic says on the startup’s website that the company “developed a platform for transforming any AI model into custom silicon.” “From the moment a previously unseen model is received, it can be realized in hardware in only two months,” Bajic wrote.
Radical Study Suggests Life on Earth Arose Twice
A new study argues that life may have emerged twice on Earth. “Two of the main lineages of life — bacteria and archaea — may have independently figured out the secrets of metabolism that upgraded them from non-living to living,” reports ScienceAlert, citing a new study that “focused on the most rudimentary set of chemical reactions thought to enable this transformation.” From the report:
“The surprise is that the enzymes that catalyze those reactions are not conserved across the evolutionary divide that separates bacteria and archaea,” says William Martin, a biologist at Heinrich Heine University Dusseldorf in Germany.
“The new data leave only one conclusion. The bacterial and archaeal lineages made the transition to the free-living state independently. Only free-living cells are alive. “Let’s call it by name: we are looking at one origin of the genetic code, but two origins of life.” That’s a huge claim to make, especially when defining what life even is can be surprisingly tricky.
The findings have been published in the journal Science Advances.
Dress Made of Living Mycelium Can Renew and Repair Itself
Researchers in China have developed a living mycelium textile that can self-clean, renew its surface, and partially repair holes when treated with a nutrient solution and fresh fungus. The material can also gain added properties such as blue pigmentation or UV resistance by co-culturing it with yeast or other fungi. Dezeen reports:
The breakthrough from the researchers at the Shenzhen Institutes of Advanced Technology is a type of engineered living material (ELM) — a material built off living organisms that stay active even after they’re fabricated into their final form. […] By working with living but dormant cordyceps militaris fungus instead, the researchers have been able to take advantage of its biological functions. The result is a material that is self-renewing and responsive to its environment, in ways that could one day transform architecture and clothing — as seen in a prototype dress created together with material innovation company Peelshere.
It can also be adapted by mixing in other fungi or yeast, lead researcher Ke Li and her team detail in a paper in the peer-reviewed journal Science Advances. In it, they describe a “programmable fungal platform” where mycelium is treated like a modular system, with the sheet material forming a base structure and extra biological abilities, such as colour and UV resistance, becoming “plug-and-play” add-ons via other organisms. This gets their textile closer to the self-repair, environmental responsiveness and controllable functionality that is the promise of engineered living materials, they argue.
The ELM’s self-renewing and semi-repairing functionality comes from the mycelium base structure. Following drying at 45 degrees, the material is not quite living and not quite dead, but instead in a “low-metabolic, dormant-like state”, Li told Dezeen, meaning it is not actively growing. However, new growth can be triggered by applying a nutrient solution of potato water, leading the dormant mycelium to germinate, send out new fungal filaments and renew the material’s surface. When this nutrient solution is applied over a hole, along with a small patch of fresh fungus, it triggers the living cells to grow across the gap, seamlessly repairing the surface without any adhesives or stitching. The material is also naturally self-cleaning, as it is hydrophobic.
“Its distinctive surface texture, biological colouring, controlled repair and biodegradability may be particularly useful in applications where visual expression and a defined product lifetime are important,” said Li.
“Further improvements in durability, moisture resistance, safety and manufacturing consistency would be needed before it could be considered for routine clothing or permanent architectural use.”
Scientists Make First Viruses Designed By AI
An anonymous reader quotes a report from The Guardian:
Scientists have made the first viruses designed by artificial intelligence in a milestone that raises hopes for new medicines but also concerns over how to ensure the technology remains safe. The viruses are specific kinds known as bacteriophages, which only infect bacteria and are used around the world to treat patients with persistent infections. In lab tests, a cocktail of the AI-designed viruses killed E coli bugs that were resistant to natural bacteriophages.
Dr Brian Hie, a chemical engineer at Stanford University in California, used genome language models, the genetic equivalent of the large language models behind AI chatbots, to design functioning genomes for bacteriophages. The viruses were then made in the laboratory and pitted against E coli in a dish. The ability to “rapidly design” genomes and tune them for specific bugs while overcoming resistance could “transform phage therapy” and “expand biotechnological toolkits,” the researchers wrote in the journal Science.
But beyond the potential benefits, the scientists said the work raised “important biosafety, biocontainment and biosecurity considerations” and urged others who were designing whole genomes to “consult both safety and security professionals throughout the project.” In an accompanying article, Prof Tom Inglesby and Dr Moritz Hanke at the Center for Health Security at Johns Hopkins University in Baltimore, reinforced the warning, writing: “Although this is promising for life sciences applications, it also raises urgent biosafety and biosecurity questions. The ability to compose viral genomes using generative AI now exists; the governance to safely steer it does not.”
Tom Ellis, a professor of synthetic genome engineering at Imperial College London, said the work was impressive, but revealed how hard it would be to make more complex genomes. “This is literally the smallest and easiest genome to make,” he said. An AI trained on the genetic code of dangerous bugs could be used to design more harmful viruses, Ellis said, but controlling access to genetic data and having restrictions on making genomes that look dangerous would help. “Governments are working hard to do this already,” he added. “But honestly,” he said, “the threat from full AI design and writing of a genome of a virus or bacteria is very overblown when we consider that just taking existing pathogens and making gain-of-function changes to their genomes is so much easier and much more likely to be a real pathogenic threat.”
Dr Filippa Lentzos, a reader in science and international security at King’s College London, said the most important point to intervene at the moment was when DNA was being manufactured. “It’s important to see the bigger governance picture and not focus regulation solely on the AI model,” she said. “A layered approach makes more sense: safeguards around model development and access, responsible research review, synthesis screening, and established laboratory biosafety and biosecurity.”
Court Orders Meta To Establish $567 Million Fund To Abate Harms To Youth
A New Mexico court ordered (PDF) Meta to create a $567 million fund to address harms linked to youth mental health and child sexual exploitation after finding its platforms constituted a public nuisance. “In sum, the Court finds that New Mexico is in the midst of a teen mental health crisis affecting public health and public safety in and throughout the state, and that Meta’s platforms are a significant contributing cause to the crisis,” wrote Chief Judge Bryan Biedscheid in the decision. The fund comes on top of $375 million in civil penalties, though the judge declined to mandate changes to features such as infinite scroll and autoplay, citing potential First Amendment and Section 230 concerns. Tech Policy Press reports:
The decision follows the second phase of in the State of New Mexico v. Meta Platforms Inc., which consisted of a bench trial. Its central question was whether Meta’s platforms amounted to a public nuisance in New Mexico, and, if the court found that they did, what remedy would be needed to address it. In March, a Santa Fe jury found Meta liable for violations of New Mexico’s Unfair Practices Act, awarding $375 million in civil penalties. The jury deliberated less than a day following that nearly seven-week trial. The $567 million abatement fund would be in addition to the civil penalties, according to today’s decision.
New Mexico Attorney General Raul Torrez sued Meta in December 2023, alleging the company made false public statements about the safety of its platforms while knowing internally that its products facilitated child sexual exploitation. The court denied Meta’s Section 230 defense in May 2024. In today’s decision, the court again asserted that “Section 230 does not preclude the State’s public nuisance claim,” but the decision attempted to thread the needle on issues that the court determined might have run “afoul” of the statute, or of the First Amendment, such as issuing remedies around any particular product feature.
Google’s $15 Billion India Data Center Project Battles Water, Wildlife Concerns
Google’s $15 billion data-center project in Visakhapatnam is facing protests and legal challenges over fears that it will worsen local water shortages and disturb wildlife near the Kambalakonda sanctuary. Google says the campus will use advanced air cooling and comply with Indian law, while state officials deny that residential or rural water supplies will be tapped. Reuters reports:
The southern state of Andhra Pradesh, governed by an ally of Prime Minister Narendra Modi who has hailed the project as historic and transformational, has denied allegations that the project was fast-tracked without weighing risks to water supplies and wildlife. But the growing opposition could become an early test for Google’s biggest-ever India investment, which is facing several legal challenges over its impact on water supplies and proximity to a wildlife sanctuary that is home to leopards and pangolins.
In recent weeks, activists and children have marched in Visakhapatnam city, holding banners saying “We cannot drink DATA” and painting handcuffs on the Google logo, social media posts show. On Sunday, Reuters attended a public gathering where activists chalked out plans for holding door-to-door awareness campaigns and beach protests in coming days. “Development should not be at the cost of livelihood of the people,” Raja Rama Mohan Roy, founder of non-profit Green Visakha said at the event where he presented statistics on Visakhapatnam’s stressed water supply and demand.
The government says the city receives 410 million liters of water a day from its reservoirs and rivers, against a requirement of 480 million. Rationing of water supplies is common in the city with a population of 2.5 million people. […] The state’s top court on Monday asked the government to defend against allegations leveled by activist group Jal Biradari (Water Community), which says the project will strain water availability by putting stress on a nearby reservoir. The Andhra Pradesh High Court will next hear the public interest litigation on August 24.
‘Tower Dump’ Warrants Ruled Unconstitutional
alternative_right shares a report from The Hill:
A federal judge in Mississippi ruled Wednesday that "tower dump” warrants are unconstitutional, declining to reverse a lower court decision refusing the government’s request to obtain the search warrants in a series of violent crime investigations. A “tower dump” involves cellphone companies providing law enforcement with access to the time and location data of all mobile devices connected to specific cell towers during a designated time window.
Law enforcement had sought approval for several of these search warrants as part of criminal investigations into gang-related activity in the Jackson, Miss., area last year, arguing the data could help identify all those potentially involved, particularly in incidents with unknown suspects. A magistrate judge denied the applications, holding that “tower dumps” are impermissible general warrants. The district judge agreed.
The order repeatedly referenced the Supreme Court’s recent decision in Chatrie v United States, in which the majority held that geofence warrants require constitutional privacy protections.
“With this information, the Government asserts that it will be able to identify all potential suspects,” Judge Carlton Reeves wrote in a 30-page order (PDF). “Even so, law enforcement would also have access to the cellular records of countless individuals, the vast majority of whom were merely passing by a location at the ‘wrong’ time.”
“That is an unreasonable search under the Fourth Amendment,” the judge concluded.
Azure CTO Pastes Doom Into Paint One Frame At a Time
Microsoft Azure CTO Mark Russinovich used Claude to build a gloriously impractical setup that runs Doom in the background and pastes each rendered frame into Microsoft Paint through the Windows clipboard. The project is referred to as “DoomPaint” or “MS Paint Doom” on GitHub. The Register reports:
To be clear, Microsoft Paint isn’t doing anything other than serving as a place to paste from the game. […] ViZDoom runs the Doom .wad file and renders it headlessly. Each frame is passed through the Windows clipboard and pasted onto Paint’s canvas. A low-level keyboard hook captures and swallows game inputs while Paint is in the foreground, and sound effects come from the game engine.
A glance at the code shows Russinovich was more than happy to use Claude to whip it up. In a LinkedIn post, he said: “I’ve been using Fable 5 on serious research projects and find it a noticeable improvement over Opus 4.8.” Using Microsoft Paint as a display for Doom is not, however, a serious research project, as Russinovich acknowledged. “I’ve also been having fun with it on frivolous ones,” he added, so here we are.
“Paint renders the game but does not compute it,” said Russinovich. “Paint computes nothing. Paint has never computed anything. That’s the joke.”
OpenAI’s Models Shared Hacking Tips On a Secret Messaging Board Before Hugging Face Breach
OpenAI researchers say multiple AI agents secretly created an internal message board to share hacking techniques, eventually finding ways around restrictions, exploiting a zero-day, and helping two models breach Hugging Face without human prompting. “This is a pivotal moment both for our company as well as the AI industry as a whole,” Michael Dalton, one of the AI-maker’s researchers, said during a presentation at the Black Hat cybersecurity conference in Las Vegas, Nevada. Politico reports:
Dalton and Eric Wallace, another OpenAI researcher, said Wednesday the AI giant recently learned that multiple agents it was testing simultaneously began communicating over an internal message board in early May. There, different models shared advice about how to accomplish difficult hacking challenges they were struggling to surmount, including workarounds that required internet access. Two OpenAI models ultimately strung together a series of sophisticated techniques to gain access to the internet and worm their way inside Hugging Face in mid-July. OpenAI has said the models were focused on completing a hacking evaluation they were prompted to solve, and that correct answers could be found on the AI developer platform.
The OpenAI researchers told conference attendees that since early May, the models created a message board inside OpenAI’s Artifactory internal file system. Without the company’s knowledge, the models spent months independently exchanging information and techniques to help each other complete difficult tasks. Wallace said that when models get stuck, they often “try to game or cheat the task in order to get their reward.” “The beginning of this incident kind of traces back to this point where one agent realized it could communicate by uploading a note,” he added. By late May, one model found a way to abuse Artifactory’s internet access to retrieve files from various websites — effectively giving the models indirect access to the internet. In June, the models were able to find and exploit a previously unknown zero-day vulnerability to gain administrative privileges on Artifactory, install remote software and expand their activity within the system.
These efforts eventually overloaded Artifactory, causing a system-wide outage in early July that alerted OpenAI’s engineers to the ploy. After investigating, the company revoked the model’s credentials, removed the message board and worked with Artifactory to fix any gaps before resuming training. But the models found another way to communicate inside Artifactory just days later and continued exchanging techniques to target additional vulnerabilities within OpenAI’s infrastructure and external systems, including Hugging Face.
The US Government’s Mario, Pokemon and Naruto Meme Posting Could Damage These Franchises, Japanese Officials Warn
Japanese officials have repeatedly asked the Trump administration to stop using characters from franchises such as Mario, Pokemon, and Naruto in unauthorized government memes and pro-war videos, warning that the posts could damage the intellectual property involved. IGN reports:
Official US government social media accounts, including The White House’s X account, have posted various memes and videos using characters from popular Japanese anime and games over the past year. Japan’s Ministry of Foreign Affairs has repeatedly called on the US government to cease uploading such posts, stating that “It’s inappropriate even for public institutions to reproduce copyrighted materials without the rightsholders’ consent.” This concern was voiced by Minister for Foreign Affairs Toshimitsu Motegi in a parliamentary session back in April, when he made direct reference to a pro-war video that used Nintendo’s Wii Sports.
However, according to a report by Mainichi Shimbun this week, the Japanese Ministry called on the Trump administration to stop using IPs like Naruto, Pokemon and Mario at least twice more this June through the US Embassy in Japan. Japan requested that the US administration take into account the potential damage to these IPs when used without permission in US policy and pro-war related content.
[…] It’s not just the Japanese government and related parties who have spoken out against these posts. They have also sparked backlash from Japanese anime fans. Notably, self-proclaimed manga and anime fan Nana Suzuki kicked off the “Protect Japanese Manga” petition on Change.org, which has received international news coverage (from the New York Times, BBC and others). The organizer claims to have submitted their petition to the Japanese Cabinet Office back in March, as well as alerting Japanese politicians to the US government’s unauthorized use of Japanese IPs, potentially drawing more official attention to the issue.
Renewed backlash was triggered in June, when President Trump shared an AI-generated video depicting himself as Naruto, the protagonist of the popular manga and anime of the same name, on Truth Social. This prompted the petition organizer to reopen the petition “as an urgent effort to convey our protest and concern regarding this matter to the rights holders and to work in solidarity to lobby the Japanese government.” The Naruto clip also prompted renewed discussion of this issue in Japan’s media and government. As reported in the Hokkaido Shimbun and others, Cabinet Minister Kimi Onoda was asked about it in a June 12th press conference. She emphasized that “obtaining permission from the copyright holder is the underlying principle for fair use,” and stated that this position had been conveyed to the US government multiple times through diplomatic channels.
FCC Kills TV Ownership Cap, Claiming Authority Over Limit Set By Congress
An anonymous reader quotes a report from Ars Technica:
The Federal Communications Commission voted 2-1 today to eliminate the National Television Ownership Rule, claiming authority to repeal a limit that was set by Congress over 20 years ago. The rule prohibits any single broadcast station owner from reaching more than 39 percent of all TV households in the US. Under Chairman Brendan Carr, the FCC is replacing the rule with a “case-by-case review” of each proposed merger.
“This will empower the FCC to approve deals that promote the public interest while allowing the agency to reject any deals that do not meet that standard,” Carr’s office said in a press release today. Without the 39 percent rule, broadcasters will be better able to compete against streaming companies that don’t face similar limits, Carr’s office said.
The change, if not stopped by courts, will make it easier for Carr to allow broadcast mergers that result in more favorable news coverage for President Trump. Carr has consistently threatened to revoke licenses from broadcasters who have drawn Trump’s ire, including by ordering an early license review of all ABC-owned stations. Carr said local broadcast TV stations are becoming “undifferentiated passthroughs of national programming produced in Hollywood and New York,” and he justified repealing the ownership rule by arguing it will help the stations invest in local news.
“It’s worth noting that Republicans with deep firsthand knowledge of this issue also agree the commission cannot do what it is attempting today,” said Democratic FCC Commissioner Anna Gomez, who voted against the decision today. “Former FCC Commissioner Mike O’Rielly has been unequivocal that the FCC lacks authority to change the cap. Former House Majority Leader Tom DeLay, who negotiated the 39 percent compromise, has stressed that Congress intentionally wrote the cap into law to prevent FCC revision. And Senate Commerce Chair Ted Cruz has said he is ‘skeptical a change can be made absent an act of Congress.’ Their consensus reinforces a simple point: Congress set the cap, and only Congress can change it.”
Gomez, in addition to arguing that “Congress deliberately enshrined the cap in statute and removed it from the Commission’s review process,” said removing the cap will hurt local broadcasters. “Digital giants compete for their most valuable programming and advertising, while consolidation pressures at the national level threaten the local reporting and public-safety functions on which communities rely,” Gomez said. “But eliminating the cap does not free local broadcasters from that strain. It just changes who is doing the squeezing. A handful of station-group giants does not represent the wishes of local broadcasters. They are large national companies that own local stations and increasingly dictate what airs on them without much local input. Trading a squeeze from Big Tech for a squeeze from Big Media does nothing to protect the communities this cap was designed to serve.”
Times Magazine Now Serves Ads That Only AI Chatbots Can See
Longtime Slashdot reader mccalli writes:
Times Magazine has started serving adverts with “brand messages” to AI crawlers, which are not part of its main page. The aim seems to be to influence chatbots to talk about the brand offerings in a positive light that can’t be traced back to the actual page. Notably, they’ve excluded Google chatbots from this, likely because Google penalizes companies that show different search offerings to its bots versus actual human visitors.
“Maybe it’s more important to influence the agent than even the human, because with a human you influence one person. When you influence ChatGPT, you’re influencing potentially all of ChatGPT,” said Jonah Goodhart, co-founder and CEO of ad tech platform Mobian. “If ChatGPT changes what it says about [a brand], it’s massive and it’s more than any one campaign could ever do. The big idea here is LLMs and AI want trusted information about brands. We’re serving that up to them in a very straightforward, easy way.”
The ad strategy was uncovered by Germany-based freelance software developer Vincent Schmalbach, who detailed his findings in a blog post.
Digiday and The Register both reported on the story.
Why?
That said, the huge Chinese models we’ve seen lately aren’t single models, they’re MOEs - Effectively a hive-mind of many smaller models working in concert. Bytedance hasn’t mentioned that detail yet but it would somewhat mitigate the training issue. This is still absurdly over-spec’d though. There’s simply no way to train it any more than all the rest starving for data.