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For many people, the aroma of freshly brewed coffee is the start of a great day. But caffeine can cause headaches and jitters in others. That’s why many people reach for a decaffeinated cup instead.

I’m a chemistry professor who has taught lectures on why chemicals dissolve in some liquids but not in others. The processes of decaffeination offer great real-life examples of these chemistry concepts. Even the best decaffeination method, however, does not remove all of the caffeine —about 7 milligrams of caffeine usually remain in an 8-ounce cup.

Producers decaffeinating their coffee want to remove the caffeine while retaining all—or at least most—of the other chemical aroma and flavor compounds. Decaffeination has a rich history , and now almost all coffee producers use one of three common methods .

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In June, Runway debuted a new text-to-video synthesis model called Gen-3 Alpha . It converts written descriptions called "prompts" into HD video clips without sound. We've since had a chance to use it and wanted to share our results. Our tests show that careful prompting isn't as important as matching concepts likely found in the training data, and that achieving amusing results likely requires many generations and selective cherry-picking.

An enduring theme of all generative AI models we've seen since 2022 is that they can be excellent at mixing concepts found in training data but are typically very poor at generalizing (applying learned "knowledge" to new situations the model has not explicitly been trained on). That means they can excel at stylistic and thematic novelty but struggle at fundamental structural novelty that goes beyond the training data.

What does all that mean? In the case of Runway Gen-3, lack of generalization means you might ask for a sailing ship in a swirling cup of coffee, and provided that Gen-3's training data includes video examples of sailing ships and swirling coffee, that's an "easy" novel combination for the model to make fairly convincingly. But if you ask for a cat drinking a can of beer (in a beer commercial), it will generally fail because there aren't likely many videos of photorealistic cats drinking human beverages in the training data. Instead, the model will pull from what it has learned about videos of cats and videos of beer commercials and combine them. The result is a cat with human hands pounding back a brewsky.

Enlarge / Artist's illustration of the Chandra X-ray Observatory. (credit: NASA/MSFC )

NASA launched the Chandra X-ray Observatory 25 years ago this week, opening a new eye on the Universe and giving astronomers vision into unimaginably violent cosmic environments like exploding stars and black holes. But Chandra's mission may soon end as NASA's science division faces a nearly billion-dollar budget shortfall.

NASA says it can no longer afford to fund Chandra at the levels it has since the telescope launched in 1999. The agency has a diminished budget for science missions this year, and the reductions may continue next year due to government spending caps in a deal reached between Congress and the Biden administration last year to suspend the federal debt ceiling.

Congress and the White House have prioritized funding for NASA's human spaceflight programs, primarily the rockets, spacecraft, landers, spacesuits, and rovers needed for the Artemis program to return astronauts to the Moon. Meanwhile, the funding level for NASA's science mission directorate has dropped.

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Authorities have identified a second death that may have been caused by Diamond Shruumz microdosing candies, which are under investigation for causing a nationwide rash of severe illnesses involving seizures, and the need for intubation and intensive care .

In an update on Tuesday , the Food and Drug Administration reported that the total number of illnesses linked to the brand's candies has risen to 74 across 28 states. Of the 74 people sickened, 62 sought medical care, and 38 were admitted to a hospital. There are two potentially associated deaths that are now under investigation. The counts are up from 69 cases and 36 hospitalizations, with one potentially linked death reported in an update last week.

The FDA announced its investigation into Diamond Shruumz products on June 7, when there had been just eight cases reported from four states. The federal investigation—led by the FDA and the Centers for Disease Control and Prevention, with help from America’s Poison Centers and state and local partners—followed warnings from Arizona poison control officials.

Enlarge / On the left, a stock photo. On the right, an AI-enhanced image based on the stock photo. The AI-enhanced image was submitted to KnowBe4 by a job applicant. (credit: KnowBe4 )

KnowBe4, a US-based security vendor, revealed that it unwittingly hired a North Korean hacker who attempted to load malware into the company's network. KnowBe4 CEO and founder Stu Sjouwerman described the incident in a blog post yesterday, calling it a cautionary tale that was fortunately detected before causing any major problems.

"First of all: No illegal access was gained, and no data was lost, compromised, or exfiltrated on any KnowBe4 systems," Sjouwerman wrote. "This is not a data breach notification, there was none. See it as an organizational learning moment I am sharing with you. If it can happen to us, it can happen to almost anyone. Don't let it happen to you."

KnowBe4 said it was looking for a software engineer for its internal IT AI team. The firm hired a person who, it turns out, was from North Korea and was "using a valid but stolen US-based identity" and a photo that was "enhanced" by artificial intelligence. There is now an active FBI investigation amid suspicion that the worker is what KnowBe4's blog post called "an Insider Threat/Nation State Actor."

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On July 22, the New Zealand women's football (soccer) team was training in Saint-Étienne, France, for its upcoming Olympics matchup against Canada when team officials noticed a drone hovering near the practice pitch. Suspecting skullduggery, the New Zealand squad called the local police, and gendarmes located and then detained the nearby drone operator. He turned out to be one Joseph Lombardi, an "unaccredited analyst with Canada Soccer"—and he was apparently spying on the New Zealand practice and relaying information to a Canadian assistant coach.

On July 23, the New Zealand Olympic Committee put out a statement saying it was "deeply shocked and disappointed by this incident, which occurred just three days before the sides are due to face each other in their opening game of Paris 2024." It also complained to the official International Olympic Committee integrity unit.

Early today, July 24, the Canadian side issued its own statement saying that it "stands for fair-play and we are shocked and disappointed. We offer our heartfelt apologies to New Zealand Football, to all the players affected, and to the New Zealand Olympic Committee."

Enlarge / Image of Epsilon Indi A at two wavelengths, with the position of its host star indicated by an asterisk. (credit: T. Müller (MPIA/HdA), E. Matthews (MPIA))

We have a couple of techniques that allow us to infer the presence of an exoplanet based on its effects on the light coming from its host star. But there's an alternative approach that sometimes works: image them directly. It's much more limited, since the planet has to be pretty big and orbiting far away enough from its star to avoid having light coming from the planet swamped by the far more intense starlight.

Still, it has been done . Massive exoplanets have been captured relatively shortly after their formation, when the heat generated by the collapse of material into the planet causes them to glow in the infrared. But the Webb telescope is far more sensitive than any infrared observatory we've ever built, and it has managed to image a relatively nearby exoplanet that's roughly as old as the ones in our Solar System.

Looking directly at a planet

What do you need to directly image a planet that's orbiting a star light-years away? The first thing is a bit of hardware called a coronagraph attached to your telescope. This is responsible for blocking the light from the star the planet is orbiting; without it, that light will swamp any other sources in the exosolar system. Even with a good coronagraph, you need the planets to be orbiting at a significant distance from the star so that they're cleanly separated from the signal being blocked by the coronagraph.

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AMD had planned to launch its first round of Ryzen 9000-series desktop processors by the end of July , but those plans have changed thanks to a very non-specific problem found with the first batch of processors that AMD sent out to its partners. The six- and eight-core Ryzen 9600X and 9700X are now slated to launch on August 8, and the 12- and 16-core Ryzen 9900X and 9950X will launch on August 15.

AMD's full statement is below:

We appreciate the excitement around Ryzen 9000 series processors. During final checks, we found the initial production units that were shipped to our channel partners did not meet our full quality expectations. Out of an abundance of caution and to maintain the highest quality experiences for every Ryzen user, we are working with our channel partners to replace the initial production units with fresh units. As a result, there will be a short delay in retail availability. The Ryzen 7 9700X and Ryzen 5 9600X processors will now go on sale on August 8th and the Ryzen 9 9950X and Ryzen 9 9900X processors will go on-sale on August 15th. We pride ourselves in providing a high-quality experience for every Ryzen user, and we look forward to our fans having a great experience with the new Ryzen 9000 series.

When asked for details about the specific problem and what the fix was, AMD Public Relations Manager Matthew Hurwitz told Ars that AMD had implemented additional screening for the Ryzen 9000 CPUs but couldn't share specifics about what AMD is screening for.

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Elon Musk's fight against Media Matters for America (MMFA)—a watchdog organization that he largely blames for an ad boycott that tanked Twitter/X's revenue —has raised an interesting question about whether any judge owning Tesla stock might reasonably be considered biased when weighing any lawsuit centered on the tech billionaire.

In a court filing Monday, MMFA lawyers argued that "undisputed facts—including statements from Musk and Tesla—lay bare the interest Tesla shareholders have in this case." According to the watchdog, any outcome in the litigation will likely impact Tesla's finances, and that's a problem because there's a possibility that the judge in the case, Reed O'Connor, owns Tesla stock.

"X cannot dispute the public association between Musk—his persona, business practices, and public remarks—and the Tesla brand," MMFA argued. "That association would lead a reasonable observer to 'harbor doubts' about whether a judge with a financial interest in Musk could impartially adjudicate this case."