Wherever two fluids slide past each other at different speeds, the boundary between them buckles, then curls, then rolls up into vortexes. It’s called the Kelvin-Helmholtz instability, and the physics behind it was worked out in the late 1860s. We know this instability explains why wind causes ripples on the surface of water and clouds shear into a row of curves.

For decades scientists argued the same thing must be happening with plasma on the surface of the Sun, and yet nobody had been able to confirm it. Now, a team led by David Kuridze and Friedrich Wöger of the National Solar Observatory reports that Kelvin-Helmholtz instabilities are not just visible on the Sun, but they’re ubiquitous. Their new study proposes that this may change the way we think about how heat, mass, and magnetic energy move through the Sun's atmosphere.

Telescope’s test drive

The reason plasma whirlpools on the Sun stayed hidden for so long is rather trivial: they are very small. Their scale sits below what telescopes with mirrors smaller than 2 meters can resolve. For most of the history of solar physics, that has ruled out every telescope on Earth. This changed when the US National Science Foundation opened the Daniel K. Inouye Solar Telescope, a 4-meter instrument in Hawaii and the largest solar telescope in the world. The telescope entered its operational phase back in November 2021.

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On Thursday, a US District Court in Oregon ordered the US government to restart the process of approving wind projects. All new wind development in the US has been on hold since August of 2025, when the Department of Defense (DoD) stopped participating in a process that allows it to compel developers to alter projects in order to limit their interference with radar equipment. The court ruled, however, that the DoD's national security claims did not allow it to opt out of a process that is legally mandated.

The Trump administration has made many attempts to block wind development, both offshore and land based. Its attempts to stop offshore wind included the same approach at issue in this case: Claim that drone developments mean that radar interference by wind turbines creates a national security risk . The courts were not sympathetic to this claim, including in cases where judges examined a classified report that the DoD was using to justify blocking offshore wind construction. As a result, the administration has turned to paying companies not to pursue wind development.

In parallel, the government was pursuing a similar approach for onshore wind. Here, a law lays out a process for the DoD to evaluate any problems posed by wind turbines and negotiate changes to planned wind farms with the developers. As laid out in the new decision, the government simply stopped participating in this process in August 2025, first by refusing to sign off on previously negotiated agreements, and later by refusing to draft agreements entirely. Eventually, it simply refused to participate in negotiations at all. This has brought a halt to all wind development in the US.

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In the mid-'90s, the web was exploding, but finding anything of actual value on it felt like an elaborate negotiation with whatever proto-search engine happened to be standing closest to the door. Unlike now, when Google is widely seen as both portal and gatekeeper, sites like AltaVista, Lycos, Excite, HotBot, and Ask Jeeves promised to tame the chaos, each with its own suite of quirks, charms, and flaws.

The real story of pre-Google search is not that early engines were inferior. It's that they reflected a different Internet entirely, one where directories mattered, crawling was still an art, ranking was fragile, and the idea of “search” had not yet hardened into a single dominant interface.

A different kind of web

The first thing to remember about the pre-Google Internet is that there was no built-in assumption that you could search for everything. Many users found pages through Yahoo-style directories, bookmarks, newsgroups, email signatures, and links from site to site because the web was still small enough that human organization could compete with machine indexing. It was an era of Wild West-style discoverability. Search engines existed, but they were only one part of a larger ecosystem that blended curation and accident.

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The US health department is working to shut down a Kentucky-based organ procurement organization that made headlines over a 2021 incident in which it was accused of trying to harvest a man's organs while he was still alive.

In an announcement Wednesday, the Department of Health and Human Services said it had begun the process to decertify the organization, Network for Hope (NFH) . Losing its certification would effectively shutter the organization, which serves Kentucky as well as parts of Indiana, Ohio, and West Virginia. If decertified, another organization will be appointed to coordinate donations in the region.

In a statement, NFH said it "strongly disagrees" with the HHS's finding and will appeal the decertification decision.

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German police disarmed a drone carrying explosives after it was discovered near Ukrainian cargo aircraft parked at Leipzig airport—and authorities are looking into the possibility of a second drone after an approaching aircraft collided with something midair.

The drone was first spotted by an airport employee hovering close to the ground between two parked An-124 cargo aircraft owned by Ukraine’s Antonov Airlines shortly before midnight on August 4, according to The Guardian . It had apparently been modified to help avoid detection by the airport’s drone defense sensors, said Alexander Dobrindt, federal minister of the interior for Germany, during a press conference.

Dobrindt described the drone as carrying a fist-sized package of a substance believed to be the plastic explosive Semtex. Only a failed detonator prevented the drone from exploding near the Ukrainian cargo aircraft, he said.

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Elon Musk's X is trying to revive a lawsuit against advertisers it's accusing of illegally boycotting the social media platform, despite previously reaching a settlement to end litigation against an ad-industry trade group.

"This case involves an unusually brazen group boycott," X said in a filing yesterday. "That misconduct has drawn the attention of regulators and Congress. There is no valid reason that this effort by the direct victim to recover its massive economic losses from that boycott should not move forward."

X's lawsuit was thrown out in March when US District Judge Jane Boyle in the Northern District of Texas ruled that advertisers did not commit any antitrust violation. Last week, Musk reached a settlement with the World Federation of Advertisers, the first defendant named in the lawsuit.

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The Internet is awash in AI content, and it's not always easy to tell it apart from genuine human creations. While images and videos are perhaps the most obvious type of AI slop, streaming music services like Spotify are also being inundated with AI-generated tunes . Suno is one of the most prolific sources of this AI music, but the company now says it's looking to clean up its act with watermarks and policy changes.

In a blog post announcing the plans, Suno CEO and co-founder Mikey Shulman says this is a necessary change to meet "emerging industry standards" for the labeling of AI content. Soon, the company will add watermarks to all audio outputs from its models, giving platforms the option to mark content as AI or block it entirely. Shulman doesn't say if Suno will rely on an in-house solution or a ready-made solution like Google's SynthID.

Google recently began licensing SynthID to other companies . Google says the tech has been used to label 60,000 years' worth of audio generated by its Gemini models, plus more than 100 billion images and videos.

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Anthropic is hiring a "custom silicon team" to design chips on which to run its models, the company has revealed.

Yesterday, Business Insider noticed a job listing for a senior engineer with experience shipping semiconductor designs. (You can see listings for a silicon engineer and a technical program manager, silicon on Anthropic's job board right now.) A spokesperson for Anthropic then confirmed the plans to both Business Insider and TechCrunch .

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A lot of the AI work in biology has been focused on designing proteins. That's partly because proteins do most of the business of life, catalyzing the interesting chemistry and structuring cells. So, figuring out how to make a new protein can mean directly tinkering with biochemistry, providing new and potentially useful functions.

Since the genetic code provides a layer of abstraction between DNA and proteins, it wasn't obvious what a model trained on DNA could do. Yet people went ahead and made a large genome model, and it turned out to be able to output DNA sequences that could encode functional proteins in bacteria and mimic the gene structures found in complex cells. Now, those same models have been used to output the genomes of viruses that infect bacteria.

This isn't science fiction—all the viruses the models created are closely related to an existing virus. But they do have some distinct features that would be challenging to evolve. And the researchers who did the work, based at Stanford University, suggest we may want to start thinking now about preparing for the potential that someone could develop a related AI that can design a virus that targets vertebrates.

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