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.

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.

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.

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.

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.

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.

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.

Meta is the latest major AI developer to admit that its models broke loose during cybersecurity testing and hacked external systems. The tech giant said in a statement to the media on Wednesday that the incident occurred during independent evaluations conducted by Israeli AI security startup Irregular. The tested AI models were inadvertently allowed to access the internet due to a misconfiguration, which led them to exploit a vulnerability in an unnamed third-party service. It’s unclear if it was a known flaw or a zero-day.

The Information [gated] learned that the Meta AI attacks involved the company’s advanced Muse Spark 1.1 model, which breached an unnamed organization’s systems and made unauthorized changes to its internal environment. Meta said it learned of the AI models going rogue after being notified by Irregular. The company is conducting an investigation and it has promised to issue a “full retrospective” once it has all the facts.

Mexican broadcaster TelevisaUnivision (TU) has obtained (PDF) one of the broadest anti-piracy injunctions ever issued by a U.S. federal court. After initially targeting five pirate IPTV streaming operations, the case expanded to cover well over 500 domain names, requiring intermediaries including Cloudflare, GitHub, and a Mexican bank to comply. In addition, the injunction also covers pirate services and content that hasn’t been created yet. […] The case was relatively targeted, naming the IPTV services Thunder TV, Sunset TV, Pop TV, Kaelus TV, and Tele Latino, as well as their alleged operators. The broadcaster argued that these pirate IPTV services threatened its business. TU holds the World Cup rights for sixteen Latin American territories, and its license with FIFA requires it to keep the Mexican broadcast signal from reaching the United States. The pirate services, it argued, put it in breach of that contract, exposing it to “termination and forfeiture of hundreds of millions of dollars in payments.” To stop this immediate threat, the company requested a temporary restraining order, hoping to shut down the IPTV services effective immediately.

[…] Judge Kathleen Williams granted the temporary restraining order (PDF) on June 5, one day after the case was filed, without hearing from any of the defendants. The initial order prohibited the defendants from infringing TU’s own copyrighted works, which include telenovelas and other programming, and from using its trademarks, including all content linked to its licensed World Cup broadcast. Importantly, the order also targeted third parties acting “in active concert,” including ISPs, hosts, CDNs, domain registrars, registries, app stores, ad networks, social platforms, search engines, and payment processors. These were ordered, on TU’s request and with notice, to disable the listed domains and IP addresses and unmask whoever was behind them. […]

While the injunction is noteworthy for many reasons, the most striking feature is that it’s specifically written to include things that don’t yet exist. That starts with the content it protects. The order isn’t limited to TU’s current catalog or the World Cup rights, it covers the infringement of “any copyrighted works or broadcasts that Plaintiffs may in the future produce, license, or acquire rights to transmit.” In other words, it covers future copyrights that did not exist when the order was signed. The same applies to the pirate services themselves. The injunction defines its target as the named IPTV operations “and any comparable system,” whether “currently in existence or developed in the future,” and it applies “regardless of the branding, domain name, or technical configuration used.”

Many scientists and public health experts have touted the idea of an mRNA-based flu vaccine, which uses the same messenger RNA platform as the Covid vaccines from Moderna and Pfizer. That’s because mRNA vaccines can be manufactured much faster than traditional vaccines, allowing scientists to better match circulating influenza strains. Moderna said it takes two to three months from picking the strain to rolling out its flu shot, compared with about six months for traditional flu shots.

BMW, showing that it was about as in-touch as its drivers are familiar with turn signals, teased the promotion as a “special surprise.” According to The Autopian’s coverage and the heaps of complaints online, the ad appears on the center console screen when you start up the car. When the ad’s done playing — a cheap looking animation that doesn’t come close to warranting all this hubbub — it even has the gall to ask you to scan a QR code.

While it does give you the option to play or skip the “festive animation,” it’s still an annoying extra step drivers have to take before pulling up the map they need or the music they want to listen to. It’s also a breach of trust: drivers keep their cars connected so they receive critical software updates, not unexpectedly see ads when they’re trying to hit the road. Few owners were pleased. Enthusiasts in the r/BMW subreddit had a veritable meltdown when someone posted footage of the ad playing on their infotainment system.

Scientists have captured images of the sun’s surface in the finest detail yet, revealing a strange and dynamic facade. It’s dangerous to look directly at the sun without proper eye protection. But researchers were able to peek at its scorching surface with the help of the National Science Foundation’s Daniel K. Inouye Solar Telescope, located on the island of Maui in Hawaii.

Scientists originally took the images for a different reason: to fine-tune and test the limits of the telescope. But when they looked at the results, they realized they’d photographed the sun’s bright outer shell at higher resolution than ever before. What’s more, they saw strange feathery patterns rippling across the surface. “That reminds me of famous paintings, like the swirling skies in Van Gogh’s Starry Night,” said solar physicist Ruizhu Chen with Stanford University, who was not involved with the new research.

Researchers saw ripples of instability on the sun’s surface caused by bits of magnetized plasma moving past each other at different speeds — similar to waves that stir when a gust of wind blows over water. It’s a well-known phenomenon that guides how fluids move. This has been glimpsed on Earth and other planets like Jupiter and Saturn, but “it has not been observed ever at that level on the solar surface,” according to study co-author Friedrich Woger with the National Solar Observatory.

Waymo co-CEO Dmitri Dolgov laid out the clearest technical case yet for why cameras alone can’t take a self-driving system to full autonomy, arguing that “weak sensing” hits a safety ceiling long before it reaches superhuman performance. […] Dolgov made the comments in a talk at Y Combinator’s Startup School, walking through the lessons Waymo has learned building its driver over close to two decades. He put the sensor question on the table plainly: “there’s been a long-standing debate about what kind of sensors do you actually need for autonomous driving.”

His answer draws the line that camera-only advocates tend to skip right past. “Humans of course can drive with just eyes, so there’s that proof of existence,” he said. “If the goal were to just approximately match human performance or to build an assist product, that’s a very reasonable way to go.” Then the catch. If you’re targeting full autonomy and strongly superhuman performance, he said, “you find that weak sensing just leads to a safety curve that flattens out way too early.”

Routine cybersecurity testing of frontier AI models sparked a series of unexpected security incidents — the most serious case arising when Anthropic’s Mythos 5 model attempted to insert malicious code into an open source software application and created fake identities to deceive the human developers maintaining the project. The security incidents occurred during a cyber evaluation of seven leading AI models’ capabilities by the AI Security Institute (AISI), a research organization within the UK government, in late July. The researchers discovered (PDF) 19 instances in which “AI agents took unsanctioned action on the live Internet, including cases that targeted real people and organizations,” according to an AISI blog post published on August 4.

Almost all the “autonomous, unsanctioned” actions came from Anthropic’s Mythos 5 model, with two such actions coming from OpenAI’s GPT-5.6 Sol. […] The most serious case involved Mythos making multiple attempts to execute a supply chain attack on the open source project repository hosted on the developer platform GitHub, including using social engineering techniques to try to convince the repository’s human maintainers to merge malicious code into the repository.

After first opening a pull request to merge the malicious code into the repository, Mythos created fake online “sock puppet” personas that claimed to have independently reviewed and verified the code as not containing malware. The AI agent also sent five emails to two human maintainers of the repository, including some emails containing malware and others attempting to persuade a maintainer to accept the pull request. Mythos even opened a GitHub Issue on a second repository — also owned by a maintainer of the first repository — that contained a prompt injection with malicious instructions targeting “issue-triage AI coding agents.” This line of attack came from Mythos reasoning that the repository maintainer could be an AI coding agent such as Claude Code.

Muse Code is the latest major release from AI chief Alexandr Wang, who leads Meta Superintelligence Labs and oversees foundation model development. Wang joined in June of last year as the centerpiece of CEO Mark Zuckerberg’s effort to revamp his company’s flailing artificial intelligence strategy. “You can install it with one command and then use it to take on complete software engineering tasks across a wide variety of use cases, planning changes, writing code, validating the results,” Wang said in an interview on Wednesday.

[…] The new tool, like Anthropic’s Claude and OpenAI’s Codex assistants, makes it easier for people to build apps within a single user interface while managing fleets of AI-powered digital agents that can help underpin the software development process. Muse Code, available in a preview version, works alongside the company’s latest AI model, Muse Spark 1.2. Wang declined to share user statistics related to the company’s Muse Spark AI models, but said “adoption has been exciting and strong.” The latest Muse Spark model was developed and trained alongside Muse Code, which Wang said improves the overall coding performance.