Feed aggregator

The man identified as Bitcoin creator Satoshi Nakamoto in a new HBO documentary has something to say: Wrong again, world. From a report: In the just-released HBO film on the history of the world's biggest digital currency -- Money Electric: The Bitcoin Mystery -- documentary filmmaker Cullen Hoback comes to the conclusion that the anonymous creator of Bitcoin was none other than a long-time member of the community and early Bitcoin developer Peter Todd. Todd dismissed the claim in the documentary, released yesterday, and denied it again when asked by The Register. "[Hoback's] evidence for me being Satoshi is the same kind of coincidence-based, circumstantial thinking that fuels conspiracies like QAnon," Todd told us in an email. "Which is ironic, given that [Hoback's] previous big project was a documentary on QAnon. He clearly didn't try to debunk his theories either." Hoback's previous project -- Q: Into the Storm -- aimed to unmask the person behind QAnon, perhaps giving him an interest in uncovering the identity of Satoshi Nakamoto. Todd, however, thinks Hoback was just trying to drum up interest in his new film. "I think [Hoback] only included the Satoshi claim as a marketing ploy: he was really creating a documentary about Bitcoin, and needed a hook to get media attention," Todd said. "He picked me to accuse mainly because I was an unlikely candidate, which helped drum up even more attention. I don't think he had any interest in finding the real truth."

Read more of this story at Slashdot.

Zoom is getting one step closer to letting AI avatars attend meetings for you. As part of a broader AI expansion, Zoom announced it will soon let you create an AI avatar of yourself that you can use to send brief messages to your team. From a report: To create a digital avatar, you'll need to record an initial video of yourself that Zoom's AI will use to make an avatar that looks -- and even sounds -- like you. From there, you can write the message you want your AI avatar to say and then have it do all the talking for you. This feature will only work with Zoom's Clips feature, allowing you to record brief video updates for your colleagues.

Read more of this story at Slashdot.

The City Council has approved a merger plan it says would save taxpayers $1 million over the next 5 years.

Nintendo’s new alarm clock lets you choose from a variety of characters from Mario to Zelda and reacts to your movements, so you can snooze with gestures or end it by jumping out of bed.

Here are the best WIRED-tested, reader-approved deals from Amazon Prime Day.

9to5Mac: Following apparent photos of an M4 MacBook Pro box and a subsequent unboxing video, the unreleased model has now been offered for sale on a Russian classified ads site -- at a highly inflated price, naturally. Multiple units were advertised before the listings were removed, and it does now seem increasingly likely that the leaks are real. Apple Pro tweeted a screengrab of one of the listing, which offered what appears to be the base model 14-inch M4 MacBook Pro, with the previously reported specs of 16GB unified memory, 512GB SSD, and three Thunderbolt 4 ports. We've also seen Geekbench results for a machine identified as "Mac 16,1" with performances in line with the reported specs. Rather than a one-off leak, it has been claimed that there are some 200 units out there. The ad on Avito was asking 720,000 rubles, which is around $7,400.

Read more of this story at Slashdot.

We've rounded up the best deals NOT on Amazon: outdoor gear, mobile photography, organic mattresses, and more.

OpenAI said a group with apparent ties to China tried to carry out a phishing attack on its employees, reigniting concerns that bad actors in Beijing want to steal sensitive information from top US artificial intelligence companies. From a report: The AI startup said Wednesday that a suspected China-based group called SweetSpecter posed as a user of OpenAI's chatbot ChatGPT earlier this year and sent customer support emails to staff. The emails included malware attachments that, if opened, would have allowed SweetSpecter to take screenshots and exfiltrate data, OpenAI said, but the attempt was unsuccessful. "OpenAI's security team contacted employees who were believed to have been targeted in this spear phishing campaign and found that existing security controls prevented the emails from ever reaching their corporate emails," OpenAI said. The disclosure highlights the potential cybersecurity risks for leading AI companies as the US and China are locked in a high-stakes battle for artificial intelligence supremacy. In March, for example, a former Google engineer was charged with stealing AI trade secrets for a Chinese firm.

Read more of this story at Slashdot.

Whether for emergencies or to recharge while camping, now's a good time to buy a power bank or power station.

AmiMoJo writes: A treaty finalized by the UK may bring about the end of the .io domain. Last week, the British government announced that it has agreed to give up ownership of the Chagos Islands, a territory in the Indian Ocean it has controlled since 1814 -- relinquishing the .io domain with it. The Internet Assigned Numbers Authority (IANA) has a process for retiring old country code domains within five years (with the possibility for extensions). The IANA established this rule after the Soviet Union's .su domain lingered after its collapse, becoming a domain commonly used among cybercriminals. Since then, IANA has also had to retire the .yu domain previously used for Yugoslavia, but it remained operational for years following the country's breakup while government websites transitioned to new domains. And while the independent Solomon Islands does have the domain name .sb, where 'B' stands for how it used to be a British protectorate, that domain was registered decades after it achieved independence. The UK still has the inactive .gb domain as well, but it's considering getting rid of it.

Read more of this story at Slashdot.

Three scientists won the 2024 Nobel Prize in Chemistry on Wednesday for their groundbreaking work in predicting and designing protein structures, the Royal Swedish Academy of Sciences announced in Stockholm. David Baker of the University of Washington shares the prize with Demis Hassabis and John Jumper of Google DeepMind. Baker pioneered the creation of novel proteins, while Hassabis and Jumper developed AlphaFold, an AI model that predicts protein structures from amino acid sequences. The laureates will split the 11 million Swedish kronor ($1 million) award for their contributions to computational protein design and structure prediction. Baker's team has produced proteins with applications in medicine and materials science since his initial breakthrough in 2003. Hassabis and Jumper's AlphaFold, announced in 2020, has predicted structures for nearly all 200 million known proteins. "We glimpsed at the beginning that it might be possible to create a whole new world of proteins that address a lot of the problems faced by humans in the 21st century," Baker said at a press briefing. "Now it's becoming possible," Heiner Linke, chair of the Nobel chemistry committee, called the discoveries "spectacular," noting they fulfilled a 50-year-old dream of predicting protein structures from amino acid sequences. The breakthroughs have wide-ranging implications, from understanding antibiotic resistance to developing enzymes that decompose plastic. Over 2 million researchers worldwide have already utilized AlphaFold in various applications.

Read more of this story at Slashdot.

The US Government considers whether Google should spin off the Android operating system and Chrome browser.

The Amazon-owned home-surveillance business will offer users the ability to search footage for specific objects and actions. WIRED gave it a try.

On Thursday, Tesla will reveal its Cybercab, a self-driving robotaxi. But running an autonomous ride-hailing fleet involves much more than teaching cars to drive themselves.

Attempting to identify the inventor, known only as Satoshi Nakamoto, has captivated the internet.

In a new 32-page filing (PDF), the Department of Justice indicated that it was considering a possible breakup of Google as an antitrust remedy for its search and advertising monopoly. The remedies necessary to "prevent and restrain monopoly maintenance could include contract requirements and prohibitions; non-discrimination product requirements; data and interoperability requirements; and structural requirements," the department said in the filing. CNBC reports: The DOJ also said it was "considering behavioral and structural remedies that would prevent Google from using products such as Chrome, Play, and Android to advantage Google search and Google search-related products and features -- including emerging search access points and features, such as artificial intelligence -- over rivals or new entrants." Additionally, the DOJ suggested limiting or prohibiting default agreements and "other revenue-sharing arrangements related to search and search-related products." That would include Google's search position agreements with Apple's iPhone and Samsung devices -- deals that cost the company billions of dollars a year in payouts. The agency suggested one way to do this is requiring a "choice screen," which could allow users to pick from other search engines. Such remedies would end "Google's control of distribution today" and ensure "Google cannot control the distribution of tomorrow."

Read more of this story at Slashdot.

Researchers at BitEnergy AI, Inc. have developed Linear-Complexity Multiplication (L-Mul), a technique that reduces AI model power consumption by up to 95% by replacing energy-intensive floating-point multiplications with simpler integer additions. This method promises significant energy savings without compromising accuracy, but it requires specialized hardware to fully realize its benefits. Decrypt reports: L-Mul tackles the AI energy problem head-on by reimagining how AI models handle calculations. Instead of complex floating-point multiplications, L-Mul approximates these operations using integer additions. So, for example, instead of multiplying 123.45 by 67.89, L-Mul breaks it down into smaller, easier steps using addition. This makes the calculations faster and uses less energy, while still maintaining accuracy. The results seem promising. "Applying the L-Mul operation in tensor processing hardware can potentially reduce 95% energy cost by element wise floating point tensor multiplications and 80% energy cost of dot products," the researchers claim. Without getting overly complicated, what that means is simply this: If a model used this technique, it would require 95% less energy to think, and 80% less energy to come up with new ideas, according to this research. The algorithm's impact extends beyond energy savings. L-Mul outperforms current 8-bit standards in some cases, achieving higher precision while using significantly less bit-level computation. Tests across natural language processing, vision tasks, and symbolic reasoning showed an average performance drop of just 0.07% -- a negligible tradeoff for the potential energy savings. Transformer-based models, the backbone of large language models like GPT, could benefit greatly from L-Mul. The algorithm seamlessly integrates into the attention mechanism, a computationally intensive part of these models. Tests on popular models such as Llama, Mistral, and Gemma even revealed some accuracy gain on certain vision tasks. At an operational level, L-Mul's advantages become even clearer. The research shows that multiplying two float8 numbers (the way AI models would operate today) requires 325 operations, while L-Mul uses only 157 -- less than half. "To summarize the error and complexity analysis, L-Mul is both more efficient and more accurate than fp8 multiplication," the study concludes. But nothing is perfect and this technique has a major achilles heel: It requires a special type of hardware, so the current hardware isn't optimized to take full advantage of it. Plans for specialized hardware that natively supports L-Mul calculations may be already in motion. "To unlock the full potential of our proposed method, we will implement the L-Mul and L-Matmul kernel algorithms on hardware level and develop programming APIs for high-level model design," the researchers say.

Read more of this story at Slashdot.

A new HBO documentary claims Canadian developer Peter Todd is Satoshi Nakamoto, the pseudonymous founder of bitcoin. The documentary's director, Emmy-nominated filmmaker Cullen Hoback, "comes to the conclusion by stitching together old clues and new ones," reports Politico. In the film's finale, Hoback confronted Todd and said: "It seems like you had these deep insights into bitcoin at the time?" Todd replies: "Well, yeah, I'm Satoshi Nakamoto." From the report: The admission, however, is not necessarily a smoking gun. Todd, who is a vocal backer of Ukraine and Israel on his X feed, is known to invoke the claim "I am Satoshi" as an expression of solidarity with the creator's bid for privacy. In an email to CoinDesk prior to the documentary's release, Todd reportedly denied he was the bitcoin creator: "Of course I'm not Satoshi," he said. If Todd is widely accepted as bitcoin's creator, the revelation would end more than a decade of speculation over the identity of a person whose work spawned a global, multibillion-dollar craze for digital currencies: a mania that has pushed back the frontiers of finance but also enabled widespread fraud and other illicit activities. Todd is not unknown to enthusiasts of the stateless money system. As a longstanding bitcoin core developer known for communicating publicly with "Satoshi" before his disappearance from crypto forums in 2010, his name has always carried weight in the community. But he was rarely considered a prime suspect. A 39-year-old graduate of Ontario College of Art and Design in Toronto, Todd would have been 23 when the famous bitcoin white paper that first laid out the vision for the decentralized money system was being completed. Todd previously told a podcast he was about 15 years old when he first started communicating with key crypto influencers, known as the cypherpunks. "In investigations like these, digital forensics can only take you so far; they're like a compass," Hoback told POLITICO before the documentary aired. "Real answers can only be found offline."

Read more of this story at Slashdot.

Foxconn has chosen Mexico for the site of the world's largest manufacturing facility for Nvidia's GB200 superchips. These chips are a "key component of the U.S. firm's next-generation Blackwell family computing platform," notes Reuters. From the report: "We're building the largest GB200 production facility on the planet," said Benjamin Ting, Foxconn senior vice president for the cloud enterprise solutions business group. Nvidia said in August that it had started shipping Blackwell samples to its partners and customers after tweaking its design, and expected several billion dollars in revenue from these chips in the fourth quarter. Ting said the partnership between his company and Nvidia was very important and everyone was asking for Nvidia's Blackwell platform. "The demand is awfully huge," Ting said at the company's annual tech day in Taipei, standing next to Nvidia's vice president for AI and robotics, Deepu Talla. Speaking to reporters later, Foxconn Chairman Young Liu said the plant was being built in Mexico, and that the capacity there would be "very, very enormous". He did not elaborate. Foxconn already has a large manufacturing presence in Mexico and has invested more than $500 million to date in the state of Chihuahua. Liu said the company's supply chain was ready for the AI revolution, adding its manufacturing capabilities include the "advanced liquid cooling and heat dissipation technologies necessary to complement the GB200 server's infrastructure."

Read more of this story at Slashdot.

"Alleged photos and videos of an unannounced 14-inch MacBook Pro with an M4 chip continue to surface on social media, in what could be the worst product leak for Apple since an employee accidentally left an iPhone 4 prototype at a bar in California in 2010," writes MacRumors' Joe Rossignol. From the report: The latest video of what could be a next-generation MacBook Pro was shared on YouTube Shorts today by Russian channel Romancev768, just one day after another Russian channel shared a similar video. The clip shows a box for a 14-inch MacBook Pro that is apparently configured with an M4 chip with a 10-core CPU and a 10-core GPU, 16GB of RAM, 512GB of storage, three Thunderbolt 4 ports, and a Space Black finish. According to the "About This Mac" software menu shown in the video, the MacBook Pro in the video is allegedly an unreleased November 2024 model. [...] Apple is well known for having a culture of secrecy, so this magnitude of leak is rarely seen for its products. As previously mentioned, this could be the most significant leak for Apple since Gizmodo obtained and shared photos of an iPhone 4 prototype that a then-employee of the company accidentally left behind at a bar in California. In that case, Apple got law enforcement involved, but how it acts this time around remains to be seen.

Read more of this story at Slashdot.