Month: March 2024

Enlarge (credit: Bloomberg / Contributor | Bloomberg)

A US federal jury has convicted a dual Russian-Swedish national, Roman Sterlingov, for operating Bitcoin Fog, "the longest-running bitcoin money laundering service on the darknet," the Department of Justice announced yesterday.

Sterlingov ran Bitcoin Fog from 2011 to 2021, moving over 1.2 million bitcoin (approximately $400 million) before he was arrested, the DOJ said. In the press release, Deputy Attorney General Lisa Monaco said that the DOJ was "relentless" in efforts to "painstakingly" trace bitcoin "through the blockchain to hold Sterlingov and his Bitcoin Fog enterprise to account."

“Roman Sterlingov thought he could use the shadows of the Internet to launder hundreds of millions of dollars in bitcoin without getting caught," Monaco said. "But he was wrong.”

Enlarge / Scientists at the University of Nottingham have discovered how to create different colors of blue cheese. (credit: University of Nottingham)

Gourmands are well aware of the many varieties of blue cheese, known by the blue-green veins that ripple through the cheese. Different kinds of blue cheese have distinctive flavor profiles: they can be mild or strong, sweet or salty, for example. Soon we might be able to buy blue cheeses that belie the name and sport veins of different colors: perhaps yellow-green, reddish-brown-pink, or lighter/darker shades of blue, according to a recent paper published in the journal Science of Food.

“We’ve been interested in cheese fungi for over 10 years, and traditionally when you develop mould-ripened cheeses, you get blue cheeses such as Stilton, Roquefort, and Gorgonzola, which use fixed strains of fungi that are blue-green in color," said co-author Paul Dyer of the University of Nottingham of this latest research. "We wanted to see if we could develop new strains with new flavors and appearances."

Blue cheese has been around for a very long time. Legend has it that a young boy left his bread and ewe's milk cheese in a nearby cave to pursue a lovely young lady he'd spotted in the distance. Months later, he came back to the cave and found it had molded into Roquefort. It's a fanciful tale, but scholars think the basic idea is sound: people used to store cheeses in caves because their temperature and moisture levels were especially hospitable to harmless molds. That was bolstered by a 2021 analysis of paleofeces that found evidence that Iron Age salt miners in Hallstatt (Austria) between 800 and 400 BCE were already eating blue cheese and quaffing beer.

Enlarge / This big, weathered box contains an oddball piece of PC history: one of the last builds of IBM's OS/2 that Microsoft worked on before pivoting all of its attention to Windows. (credit: Neozeed)

In the annals of PC history, IBM’s OS/2 represents a road not taken. Developed in the waning days of IBM’s partnership with Microsoft—the same partnership that had given us a decade or so of MS-DOS and PC-DOS—OS/2 was meant to improve on areas where DOS was falling short on modern systems. Better memory management, multitasking capabilities, and a usable GUI were all among the features introduced in version 1.x.

But Microsoft was frustrated with some of IBM’s goals and demands, and the company continued to develop an operating system called Windows on its own. Where IBM wanted OS/2 to be used mainly to boost IBM-made PCs and designed it around the limitations of Intel's 80286 CPU, Windows was being created with the booming market for PC-compatible clones in mind. Windows 1.x and 2.x failed to make much of a dent, but 1990’s Windows 3.0 was a hit, and it came preinstalled on many consumer PCs; Microsoft and IBM broke off their partnership shortly afterward, making OS/2 version 1.2 the last one publicly released and sold with Microsoft’s involvement.

But Microsoft had done a lot of work on version 2.0 of OS/2 at the same time as it was developing Windows. It was far enough along that preview screenshots appeared in PC Magazine, and early builds were shipped to developers who could pay for them, but it was never formally released to the public.

Enlarge (credit: Boris Zhitkov | Moment)

A recently unsealed court filing has revealed that Meta has sued a former senior employee for "brazenly disloyal and dishonest conduct" while leaving Meta for an AI data startup called Omniva that The Information has described as "mysterious."

According to Meta, its former vice president of infrastructure, Dipinder Singh Khurana (also known as T.S.), allegedly used his access to "confidential, non-public, and highly sensitive" information to steal more than 100 internal documents in a rushed scheme to poach Meta employees and borrow Meta's business plans to speed up Omniva's negotiations with key Meta suppliers.

Meta believes that Omniva—which Data Center Dynamics (DCD) reported recently "pivoted from crypto to AI cloud"—is "seeking to provide AI cloud computing services at scale, including by designing and constructing data centers." But it was held back by a "lack of data center expertise at the top," DCD reported.

Enlarge / Even hunt-and-fetch quests are better with a little AI help. (credit: Getty Images)

At this point in the progression of machine-learning AI, we're accustomed to specially trained agents that can utterly dominate everything from Atari games to complex board games like Go. But what if an AI agent could be trained not just to play a specific game but also to interact with any generic 3D environment? And what if that AI was focused not only on brute-force winning but also on responding to natural language commands in that gaming environment?

Those are the kinds of questions animating Google's DeepMind research group in creating SIMA, a "Scalable, Instructable, Multiworld Agent" that "isn't trained to win, it's trained to do what it's told," as research engineer Tim Harley put it in a presentation attended by Ars Technica. "And not just in one game, but... across a variety of different games all at once."

Harley stresses that SIMA is still "very much a research project," and the results achieved in the project's initial tech report show there's a long way to go before SIMA starts to approach human-level listening capabilities. Still, Harley said he hopes that SIMA can eventually provide the basis for AI agents that players can instruct and talk to in cooperative gameplay situations—think less "superhuman opponent" and more "believable partner."

Enlarge / The Google Gemini logo. (credit: Google)

Like many of us, Google Gemini is tired of politics. Reuters reports that Google has restricted the chatbot from answering questions about the upcoming US election, and instead, it will direct users to Google Search.

Google had planned to do this back when the Gemini chatbot was still called "Bard." In December, the company said, "Beginning early next year, in preparation for the 2024 elections and out of an abundance of caution on such an important topic, we’ll restrict the types of election-related queries for which Bard and [Google Search's Bard integration] will return responses." Tuesday, Google confirmed to Reuters that those restrictions have kicked in. Election queries now tend to come back with the refusal: "I'm still learning how to answer this question. In the meantime, try Google Search."

Google's original plan in December was likely to disable election info so Gemini could avoid any political firestorms. Boy, did that not work out! When asked to generate images of people, Gemini quietly tacked diversity requirements onto the image request; this practice led to offensive and historically inaccurate images along with a general refusal to generate images of white people. Last month that earned Google wall-to-wall coverage in conservative news spheres along the lines of "Google's woke AI hates white people!" Google CEO Sundar Pichai called the AI's "biased" responses "completely unacceptable," and for now, creating images of people is disabled while Google works on it.

Enlarge (credit: Getty Images | BeeBright)

The European Parliament today voted to approve the Artificial Intelligence Act, which will ban uses of AI "that pose unacceptable risks" and impose regulations on less risky types of AI.

"The new rules ban certain AI applications that threaten citizens' rights, including biometric categorisation systems based on sensitive characteristics and untargeted scraping of facial images from the Internet or CCTV footage to create facial recognition databases," a European Parliament announcement today said. "Emotion recognition in the workplace and schools, social scoring, predictive policing (when it is based solely on profiling a person or assessing their characteristics), and AI that manipulates human behavior or exploits people's vulnerabilities will also be forbidden."

The ban on certain AI applications provides for penalties of up to 35 million euros or 7 percent of a firm's "total worldwide annual turnover for the preceding financial year, whichever is higher." Violations of other provisions have lower penalties.