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Judge rejects Craig Wright’s $1.1 trillion lawsuit claiming rights to bitcoin
UK judge issues 1-year suspended prison sentence as Wright hides in Asia.
Craig Wright, the man who claims he invented bitcoin and has been filing lawsuits asserting intellectual property rights, was sentenced to a year in prison yesterday for committing contempt of court.
The sentence is suspended and can be enforced if Wright continues violating court rulings—but he may be able to avoid imprisonment by staying away from countries that have extradition agreements with the UK. Wright defied an order to attend a court hearing in person this week and said he is in Asia.
Wright “was sentenced for contempt of court on Thursday” for bringing a 911 billion pound ($1.1 trillion) lawsuit “against Twitter founder Jack Dorsey’s payments company Block in Britain,” Reuters wrote.
The next two FIFA Women’s World Cups will only air on Netflix
Let’s hope Netflix fixes its live buffering problems beforehand.
If you want to watch the next two FIFA Women’s World Cups in the US, you’ll need a Netflix subscription.
FIFA confirmed the news today, marking an unexpected change for the sports event, which has historically played on free-to-air broadcast channels. The shift to a streaming platform inevitably makes it more costly and hurts viewer accessibility, while likely injecting FIFA with a lot of cash.
Netflix and FIFA haven’t said how much Netflix is paying for exclusive airing rights. But Netflix and other streaming services have been paying out hefty, sometimes record-setting sums to air live sporting events as the company seeks to earn more revenue from commercials and draw more viewers. Netflix, for example, paid $5 billion to swipe the World Wrestling Entertainment’s weekly RAW program from the USA cable network for 10 years, starting next month.
New AA-powered AirTag case promises 10-year lifespan
Aluminum AirTag case replaces coin cell with 2 AA Lithium batteries for extended lifespan.
On Wednesday, a startup announced TimeCapsule, a new $20 battery case purported to extend Apple AirTag battery life from one year to 10 years. The product replaces the standard CR2032 coin cell battery in the Bluetooth-based location tracker with two AA batteries to provide extended power capacity.
The TimeCapsule case, created by Elevation Lab, requires users to remove their AirTag’s original back plate and battery, then place the Apple device onto contact points inside the waterproof enclosure. The company recommends using Energizer Ultimate Lithium AA batteries, which it claims provide 14 times more power capacity than the stock coin cell battery configuration.
The CNC-machined aluminum case is aimed at users who place AirTags in vehicles, boats, or other applications where regular battery changes prove impractical. The company sells the TimeCapsule through its website and Amazon.
Google will apparently offer “AI Mode” right on its main search page
The most direct push for Google’s Gemini chat so far.
Google will soon take more steps to make AI a part of search, exposing more users to its Gemini agent, according to recent reports and app teardowns.
“AI Mode,” shown at the top left of the web results page and inside the Google app, will provide an interface similar to a Gemini AI chat, according to The Information.
This tracks with a finding from Android Authority earlier this month, which noted a dedicated “AI mode” button inside an early beta of the Google app. This shortcut also appeared on Google’s Android search widget, and a conversation history button was added to the Google app. Going even deeper into the app, 9to5Google found references to “aim” (AI mode) and “ai_mode” which suggest a dedicated tab in the Google app, with buttons for speaking to an AI or sending it pictures.
Automakers excoriated by Senators for fighting right-to-repair
OEMs also called out for selling data they collect on drivers.
Yesterday, US Senators Jeff Merkley (D-OR), Elizabeth Warren (D-MA), and Joshua Hawley (R-MO) sent letters to the heads of Ford, General Motors, and Tesla, as well as the US heads of Honda, Hyundai, Nissan, Stellantis, Subaru, Toyota, and Volkswagen, excoriating them over their opposition to the right-to-repair movement.
“We need to hit the brakes on automakers stealing your data and undermining your right-to-repair,” said Senator Merkley in a statement to Ars. “Time and again, these billionaire corporations have a double standard when it comes to your privacy and security: claiming that sharing vehicle data with repair shops poses cybersecurity risks while selling consumer data themselves. Oregon has one of the strongest right-to-repair laws in the nation, and that’s why I’m working across the aisle to advance efforts nationwide that protect consumer rights.”
Most repairs aren’t at dealerships
The Senators point out that 70 percent of car parts and services currently come from independent outlets, which are seen as trustworthy and providing good value for money, “while nearly all dealerships receive the worst possible rating for price.”
Louisiana bars health dept. from promoting flu, COVID, mpox vaccines: Report
Staff worried they were no longer helping people and the ban would lead to deaths.
Louisiana’s health department has been barred from advertising or promoting vaccines for flu, COVID-19, and mpox, according to reporting by NPR, KFF Health News, and New Orleans Public Radio WWNO.
Their investigative report—based on interviews with multiple health department employees who spoke on the condition of anonymity for fear of retaliation—revealed that employees were told of the startling policy change in meetings in October and November and that the policy would be implemented quietly and not put into writing.
Ars Technica has contacted the health department for comment and will update this post with any new information.
Google and OpenAI blitz December with so many AI releases, it’s hard to keep up
Potentially groundbreaking AI releases have been coming in fast, sending experts’ heads spinning.
Over the past month, we’ve seen a rapid cadence of notable AI-related announcements and releases from both Google and OpenAI, and it’s been making the AI community’s head spin. It has also poured fuel on the fire of the OpenAI-Google rivalry, an accelerating game of one-upmanship taking place unusually close to the Christmas holiday.
“How are people surviving with the firehose of AI updates that are coming out,” wrote one user on X last Friday, which is still a hotbed of AI-related conversation. “in the last <24 hours we got gemini flash 2.0 and chatGPT with screenshare, deep research, pika 2, sora, chatGPT projects, anthropic clio, wtf it never ends.”
Rumors travel quickly in the AI world, and people in the AI industry had been expecting OpenAI to ship some major products in December. Once OpenAI announced “12 days of OpenAI” earlier this month, Google jumped into gear and seemingly decided to try to one-up its rival on several counts. So far, the strategy appears to be working, but it’s coming at the cost of the rest of the world being able to absorb the implications of the new releases.
VPN used for VR game cheat sells access to your home network
Big Mama VPN tied to network which offers access to residential IP addresses.
In the hit virtual reality game Gorilla Tag, you swing your arms to pull your primate character around—clambering through virtual worlds, climbing up trees and, above all, trying to avoid an infectious mob of other gamers. If you’re caught, you join the horde. However, some kids playing the game claim to have found a way to cheat and easily “tag” opponents.
Over the past year, teenagers have produced video tutorials showing how to side-load a virtual private network (VPN) onto Meta’s virtual reality headsets and use the location-changing technology to get ahead in the game. Using a VPN, according to the tutorials, introduces a delay that makes it easier to sneak up and tag other players.
While the workaround is likely to be an annoying but relatively harmless bit of in-game cheating, there’s a catch. The free VPN app that the video tutorials point to, Big Mama VPN, is also selling access to its users’ home internet connections—with buyers essentially piggybacking on the VR headset’s IP address to hide their own online activity.
Why AI language models choke on too much text
Compute costs scale with the square of the input size. That’s not great.
Large language models represent text using tokens, each of which is a few characters. Short words are represented by a single token (like “the” or “it”), whereas larger words may be represented by several tokens (GPT-4o represents “indivisible” with “ind,” “iv,” and “isible”).
When OpenAI released ChatGPT two years ago, it had a memory—known as a context window—of just 8,192 tokens. That works out to roughly 6,000 words of text. This meant that if you fed it more than about 15 pages of text, it would “forget” information from the beginning of its context. This limited the size and complexity of tasks ChatGPT could handle.
Today’s LLMs are far more capable:
Not to be outdone by OpenAI, Google releases its own “reasoning” AI model
Gemini 2.0 Flash Thinking is Google’s take on so-called AI reasoning models.
It’s been a really busy month for Google as it apparently endeavors to outshine OpenAI with a blitz of AI releases. On Thursday, Google dropped its latest party trick: Gemini 2.0 Flash Thinking Experimental, which is a new AI model that uses runtime “reasoning” techniques similar to OpenAI’s o1 to achieve “deeper thinking” on problems fed into it.
The experimental model builds on Google’s newly released Gemini 2.0 Flash and runs on its AI Studio platform, but early tests conducted by TechCrunch reporter Kyle Wiggers reveal accuracy issues with some basic tasks, such as incorrectly counting that the word “strawberry” contains two R’s.
These so-called reasoning models differ from standard AI models by incorporating feedback loops of self-checking mechanisms, similar to techniques we first saw in early 2023 with hobbyist projects like “Baby AGI.” The process requires more computing time, often adding extra seconds or minutes to response times. Companies have turned to reasoning models as traditional scaling methods at training time have been showing diminishing returns.