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An anonymous reader shared this report from the Kyiv Independent: The United States will partner with Ukraine to transition Ukraine's coal-fired plants to small modular nuclear reactors, and to use them to help decarbonize its steel industry, the countries announced on November 16 at the U.N. Climate Change Conference in Baku, Azerbaijan... The partnership will build a roadmap and provide technical support to "rebuild, modernize, and decarbonize Ukraine's steel industry with small modular reactors," according to a statement from the U.S. State Department... It will also "facilitate the transition of Ukraine's coal-fired power plants to secure and safe SMR nuclear power plants utilizing existing infrastructure and retraining the workforce," the statement read. Another project announced at the conference, known as COP29, will build a pilot plant in Ukraine to demonstrate production of clean hydrogen and ammonia using simulated small modular reactor technology. That clean hydrogen/ammonia project involves a multinational public-private consortium which also includes Japan and South Korea, according to the U.S. State Department. Their announcement says the three projects "will help position Ukraine to take a leadership role on secure and safe nuclear energy" (as well as industrial decarbonization). Three years ago the U.S. State Department launched a program to help countries develop nuclear energy programs "to support clean energy goals under the highest international standards for nuclear safety, security, and nonproliferation." That program will send $30 million for these three projects...

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An anonymous reader shared this report from the Verge: Bluesky might be on the rise, but Instagram and Threads boss Adam Mosseri wants you to know that Threads is still much bigger. In a post on Thursday, Mosseri said that Threads has gotten "more than 15 million signups in November alone," seemingly trying to throw some cold water over Bluesky crossing 15 million users total on Wednesday. Mosseri also reiterated that the platform has been getting more than a million signups per day — a stat that CEO Mark Zuckerberg revealed during last month's earnings call — and noted that the platform has been seeing that volume of signups for "going on three months." As November began, Mosseri posted that Threads had 275 million monthly active users....

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"NASA has emphasized the ISS crew is in no immediate danger," reports Space.com. "The leaking area in the Russian segment of the orbital complex has been ongoing for five years," and "there was a temporary increase in the leak rate that was patched earlier this year..." Former astronaut Bob Cabana emphasized that troubleshooting is ongoing during a brief livestreamed meeting on Wednesday. But NASA and Roscosmos "don't have a common understanding of what the likely root causes or the severity of the consequences of these leaks." "The Russian position is that the most probable cause of the cracks is high cycling caused by micro-vibrations," Cabana said, referring to flexing of metal and similar components that heat and cool as the ISS orbits in and out of sunlight. "NASA believes the PrK cracks are likely multi-causal — including pressure and mechanical stress, residual stress, material properties and environmental exposures," Cabana continued. NASA and Russia disagree about whether "continued operations are safe", he added, but the remedy for now is to keep the hatch closed between the U.S. and Russian side as investigations continue. The two agencies will continue meeting to seek "common understanding of the structural integrity", Cabana pledged, but he did not provide a timeline. Academic and industry experts will also be consulted.

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Automotive Grade Linux is a collaborative open source project developing "an open platform from the ground up that can serve as the de facto industry standard" for fast development of new features. Automakers have joined with tech companies and suppliers to speed up development (and adoption) of "a fully open software stack for the connected car" — hosted at the Linux Foundation, and "with Linux at its core..." And this week they created a new Open Source Program Office expert group, led by Toyota, to promote the establishment of Open Source Program Offices within the automotive industry, "and encourage the sharing of information and best practices between them." Open source software has become more prevalent across the automotive industry as automakers invest more time and resources into software development. Automakers like Toyota and Subaru are using open source software for infotainment and instrument cluster applications. Other open source applications across the automotive industry include R&D, testing, vehicle-to-cloud and fleet management. "Historically, there has been little code contributed back to the open source community," said Dan Cauchy, Executive Director of Automotive Grade Linux. "Often, this was because the internal procedures or IT infrastructure weren't in place to support open source contributions. The rise of software-defined vehicles has led to a growing trend of automakers not just using, but also contributing, to open source software. Many organizations are also establishing Open Source Program Offices to streamline and organize open source activities to better support business goals." Automakers including Toyota, Honda, and Volvo have already established Open Source Program Offices. The new AGL OSPO Expert Group provides a neutral space for them to share pain points and collaborate on solutions, exchange information, and develop best practices that can help other automakers build their own OSPOs. "Toyota has been participating in AGL and the broader open source community for over a decade," said Masato Endo, Group Manager of Open Source Program Group, Toyota. "We established an OSPO earlier this year to promote the use of open source software internally and to help guide how and where we contribute. We are looking forward to working with other open source leaders to solve common problems, collaborate on best practices, and invigorate open source activities in the automotive industry." The AGL OSPO EG is led by Toyota with support from Panasonic and AISIN Corporation.

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Slashdot reader jjslash brings word that Casio "has reintroduced its iconic calculator watch featuring a retro design with green text on a negative LCD and a classic keypad layout." TechSpot reports that the watch was based on the Casio Mini personal calculator first released in the early 1970s — even offering a keypad using the original fonts (with numbers separated by grid lines): Even the mode button, colored red, is a nod to the calculator's power indicator. The watches' calculator function can add, subtract, multiply, and divide up to eight digits. As for watch functions, you get dual time, an alarm, stopwatch functionality, and more... Casio's original personal calculator debuted in 1972, and cost $59.95. It featured a six-digit display, was a quarter the size of its competitors, and cost just a third of rival products. The calculator was an instant hit for Casio, selling a million units in the first 10 months on the market and more than six million units over the span of the series. Long-time Slashdot reader antdude says "I still wear one! Casio Data Bank 150 model...!" Share your own vintage calculator memories in the comments...

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French private AI lab PleIAs "is committed to training LLMs in the open," they write in a blog post at Mozilla.org. "This means not only releasing our models but also being open about every aspect, from the training data to the training code. We define 'open' strictly: all data must be both accessible and under permissive licenses." Wednesday PleIAs announced they were releasing the largest open multilingual pretraining dataset, according to their blog post at HuggingFace: Many have claimed that training large language models requires copyrighted data, making truly open AI development impossible. Today, Pleias is proving otherwise with the release of Common Corpus (part of the AI Alliance Open Trusted Data Initiative) — the largest fully open multilingual dataset for training LLMs, containing over 2 trillion tokens of permissibly licensed content with provenance information (2,003,039,184,047 tokens). As developers are responding to pressures from new regulations like the EU AI Act, Common Corpus goes beyond compliance by making our entire permissibly licensed dataset freely available on HuggingFace, with detailed documentation of every data source. We have taken extensive steps to ensure that the dataset is high-quality and is curated to train powerful models. Through this release, we are demonstrating that there doesn't have to be such a [heavy] trade-off between openness and performance. Common Corpus is: — Truly Open: contains only data that is permissively licensed and provenance is documented — Multilingual: mostly representing English and French data, but contains at least 1B tokens for over 30 languages — Diverse: consisting of scientific articles, government and legal documents, code, and cultural heritage data, including books and newspapers — Extensively Curated: spelling and formatting has been corrected from digitized texts, harmful and toxic content has been removed, and content with low educational content has also been removed. Common corpus builds on a growing ecosystem of large, open datasets, such as Dolma, FineWeb, RefinedWeb. The Common Pile currently in preparation under the coordination of Eleuther is built around the same principle of using permissible content in English language and, unsurprisingly, there were many opportunities for collaborations and shared efforts. But even together, these datasets do not provide enough training data for models much larger than a few billion parameters. So in order to expand the options for open model training, we still need more open data... Based on an analysis of 1 million user interactions with ChatGPT, the plurality of user requests are for creative compositions... The kind of content we actually need — like creative writing — is usually tied up in copyright restrictions. Common Corpus tackles these challenges through five carefully curated collections... Last week AMD also released its first series of fully open 1 billion parameter language models, AMD OLMo. And last month VentureBeat reported that the non-profit Allen Institute for AI had unveiled Molmo, "an open-source family of state-of-the-art multimodal AI models which outpeform top proprietary rivals including OpenAI's GPT-4o, Anthropic's Claude 3.5 Sonnet, and Google's Gemini 1.5 on several third-party benchmarks."

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More than 120,000 bitcoin were stolen in a 2016 breach of Bitfinex. Seven years later the perpetrator pleaded guilty. And Thursday he was sentenced to a five-year prison term, reports the Associated Press: Ilya Lichtenstein masterminded one of the largest-ever thefts from a virtual currency exchange before he and his wife, Heather Rhiannon Morgan, carried out an elaborate scheme to liquidate the stolen funds, according to federal prosecutors... "Over half a decade, the defendant engaged in what IRS agents described as the most complicated money laundering techniques they had seen to date," prosecutors wrote... The couple successfully laundered about 21 percent of the funds stolen from Bitfinex. The laundered money was worth at least $14 million at 2016 prices. Its value would have exceeded $1 billion at the time of their 2022 arrest. Authorities seized the remaining funds, collectively valued at over $6 billion at current prices... An attorney for Bitfinex said the hack "devastated" its finances and its reputation with its customers, with the stolen funds accounting for approximately 36% of the company's assets at the time of theft. "Bitfinex had to take unprecedented and immediate action to ensure that any losses from the Hack would ultimately be borne by Bitfinex and its shareholders alone, not its customers," the lawyer, Barry Berke, wrote in a letter to the judge. A prosecutor said Lichtenstein immediately began cooperating with federal authorities after his arrest, helping them with other cybercrime investigations. Over 96% of the stolen funds have been recovered, with help from Lichtenstein, according to defense attorney Samson Enzer. The "vast bulk" of the stolen money was never spent, the lawyer said. Lichtenstein also "pleaded with the judge to spare his wife from prison, blaming himself for her involvement," according to the article. His wife — a rap artist who records under the name Razzlekhan — will be sentenced Monday, but has pleaded guilty to the same charge, and prosecutors are recommending an 18-month sentence.

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China's Chang'e-6 mission made history by retrieving the first surface samples from the moon's far side, revealing evidence of volcanic activity spanning 1.4 billion years. Reuters reports: Researchers said on Friday the soil brought back from the Chang'e-6 landing site contained fragments of volcanic rock - basalt - dating to 4.2 billion years ago and to 2.8 billion years ago. This points to a long period of volcanic activity - at least 1.4 billion years - on the far side during the first half of the moon's history, when it was a more dynamic world than it is today. The moon, like Earth, formed about 4.5 billion years ago. Volcanism on the moon, Earth and other planetary bodies involves the eruption of molten rock from the mantle - the layer just under the outer crust - onto the surface. The landing site in the South Pole-Aitken Basin, an impact crater, is an area with the thinnest crust on the moon, helpful for finding evidence of volcanism. The samples contained various volcanic rock fragments, and the researchers used a method called radioisotope dating to determine their age. Lunar basalt samples previously were obtained from the moon's near side, which perpetually faces Earth, during U.S. Apollo, Soviet Luna and Chinese Chang'e-5 missions. These showed that volcanism on the near side had occurred as long ago as 4.0 billion years ago and continued for at least two billion years, Li said. "The exact timing and duration of lunar volcanism is elusive and maybe varied across different regions. Some small-scale volcanism may have also occurred on the near side as late as about 120 million years ago as recorded by volcanic glass beads from Chang'e-5 samples" collected in 2020, Li said. The new study also found that the basalt dating to 4.2 billion years ago differed in composition from the basalt dating to 2.8 billion years ago, meaning they originated from different sources of molten rock - magma - in the mantle, Li said. The Chang'e-6 samples, Li said, also differ in composition compared with previously collected lunar samples from the near side.

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"NASA has squandered $27 billion on the SLS moon rocket -- $6 billion over budget and 5 years late," writes longtime Slashdot reader schwit1. "The SLS isn't reusable so even if they finished it -- it is already obsolete. It is clear to everyone that the boondoggle has failed but the newest plan is to find a way to blame Trump. There is a big desire for big changes." Futurism reports: According to Ars Technica senior space reporter Eric Berger's insider sources, there's an "at least 50-50" chance that the rocket "will be canceled." "Not Block 1B. Not Block 2," he added, referring to the variant that was used during NASA's uncrewed Artemis I test flight in 2022 and a more powerful design with a much higher translunar injection payload capacity, respectively. "All of it." To be clear, as Berger himself points out, we're still far "from anything being settled." Nonetheless, the reporter's sources have historically been highly reliable, suggesting the space agency may indeed be getting cold feet about continuing to pour billions of dollars into the non-reusable rocket. [...] "Honestly the people who will ultimately make this decision aren't even in place yet," Berger wrote in a followup tweet, likely referring to the incoming Trump administration. "But there is a big desire for big changes."

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An anonymous reader quotes a report from Science Magazine: Qubits, the strange devices at the heart of a quantum computer that can be set to 0, 1, or both at once, could hardly be more different from the mechanical clockwork used in the earliest computers. Today, most quantum computers rely on qubits made out of tiny circuits of superconducting metal, individual ions, photons, or other things. But now, physicists have made a working qubit from a tiny, moving machine, an advance that echoes back to the early 20th century when the first computers employed mechanical switches. "For many years, people were thinking it would be impossible to make a qubit from a mechanical system," says Adrian Bachtold, a condensed matter physicist at the Institute of Photonic Sciences who was not involved in the work, published today in Science. Stephan Durr, a quantum physicist at the Max Planck Institute for Quantum Optics, says the result "puts a new system on the map," which could be used in other experiments—and perhaps to probe the interface of quantum mechanics and gravity. [...] The new mechanical qubit is unlikely to run more mature competition off the field any time soon. Its fidelity -- a measure of how well experimenters can set the state they desire -- is just 60%, compared with greater than 99% for the best qubits. For that reason, "it's an advance in principle," Bachtold says. But Durr notes that a mechanical qubit might serve as a supersensitive probe of forces, such as gravity, that don't affect other qubits. And ETHZ researchers hope to take their demonstration a step further by using two mechanical qubits to perform simple logical operations. "That's what Igor is working on now," [says Yiwen Chu, a physicist at ETH Zurich]. If they succeed, the physical switches of the very first computers will have made a tiny comeback.

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jojowombl shares a report from The Guardian: Legal documents released in ongoing US litigation between NSO Group and WhatsApp have revealed for the first time that the Israeli cyberweapons maker -- and not its government customers -- is the party that "installs and extracts" information from mobile phones targeted by the company's hacking software. The new details were contained in sworn depositions from NSO Group employees, portions of which were published for the first time on Thursday. It comes five years after WhatsApp, the popular messaging app owned by Facebook, first announced it was filing suit against NSO. The company, which was blacklisted by the Biden administration in 2021, makes what is widely considered the world's most sophisticated hacking software, which -- according to researchers -- has been used in the past in Saudi Arabia, Dubai, India, Mexico, Morocco and Rwanda. [...] At the heart of the legal fight was an allegation by WhatsApp that NSO had long denied: that it was the Israeli company itself, and not its government clients around the world, who were operating the spyware. NSO has always said that its product is meant to be used to prevent serious crime and terrorism, and that clients are obligated not to abuse the spyware. It has also insisted that it does not know who its clients are targeting. [...] To make its case, WhatsApp was allowed by Judge Phyllis Hamilton to make its case, including citing depositions that have previously been redacted and out of public view. In one, an NSO employee said customers only needed to enter a phone number of the person whose information was being sought. Then, the employee said, "the rest is done automatically by the system." In other words, the process was not operated by customers. Rather NSO alone decided to access WhatsApp's servers when it designed (and continuously upgraded) Pegasus to target individuals' phones. A spokesperson for NSO, Gil Lainer, said in a statement: "NSO stands behind its previous statements in which we repeatedly detailed that the system is operated solely by our clients and that neither NSO nor its employees have access to the intelligence gathered by the system. We are confident that these claims, like many others in the past, will be proven wrong in court, and we look forward to the opportunity to do so."

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Chinese hackers, reportedly linked to a Chinese intelligence agency, breached T-Mobile as part of a broader cyber-espionage campaign targeting telecom companies to spy on high-value intelligence targets. "T-Mobile is closely monitoring this industry-wide attack, and at this time, T-Mobile systems and data have not been impacted in any significant way, and we have no evidence of impacts to customer information," a company spokesperson told the Wall Street Journal. Reuters reports: It was unclear what information, if any, was taken about T-Mobile customers' calls and communications records, according to the report. On Wednesday, The Federal Bureau of Investigation (FBI) and the U.S. cyber watchdog agency CISA said China-linked hackers have intercepted surveillance data intended for American law enforcement agencies after breaking into an unspecified number of telecom companies. Further reading: U.S. Wiretap Systems Targeted in China-Linked Hack

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Chegg, the online education company, is laying off 319 workers as it struggles to compete against modern AI chatbots. SFGATE reports: Chegg announced the new layoff round, which will hit 21% of its workforce, in a filing with the Securities and Exchange Commission on Tuesday. The company delivered the news alongside another brutal quarterly financial report; Chegg lost more than $212 million from July through September. CEO Nathan Schultz, in prepared remarks accompanying the report, expressed some optimism but called it a "trying time" for his company. Chegg provides grammar and plagiarism checkers, plus course-by-course study help, along with much-used textbook solution guides. "Technology shifts have created headwinds for our industry and Chegg's business specifically," Schultz said. "Recent advancements in the AI search experience and the adoption of free and paid generative AI services by students, have resulted in challenges for Chegg. These factors are adversely affecting our business outlook and are requiring us to refocus and adjust the size of our business." He specifically called out Google's AI overviews, a recent change to search results that pulls information from news outlets and sites like Chegg and summarizes above the classic blue links. Schultz said that his team believes Google is "shifting from being a search origination point to the destination" in an attempt to keep market share. Schultz also blamed generative AI chatbots like OpenAI's ChatGPT, saying that students see the tool and others like it as "strong alternatives" to Chegg. Web traffic has dropped sharply as a result, Schultz wrote. A Wall Street Journal story published Saturday said Chegg "is trying to avoid becoming [ChatGPT's] first major victim" and that the company had lost more than 500,000 subscribers, some who paid almost $20 a month, since the chatbot's 2022 launch. Despite the negative business impact, it seems Chegg is experimenting with new tech. Schultz said in the remarks that the company had formed an "arena" to evaluate AI models and aims to "integrate AI into the full learning journey."

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Bluesky, the social network surging in popularity, says it has "no intention" of training AI tools on users content. "The social network made the announcement on the same day that X (formerly Twitter) is implementing its new terms of service that allow the platform to use public posts to train AI," notes TechCrunch. From the report: "A number of artists and creators have made their home on Bluesky, and we hear their concerns with other platforms training on their data," Bluesky said in a post on its app. "We do not use any of your content to train generative AI, and have no intention of doing so." The company went on to note that it uses AI internally to help with content moderation and that it also uses the technology in its "Discover" algorithmic feed. However, Bluesky says "none of these are Gen AI systems trained on user content."

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An anonymous reader quotes a report from CNN: Europe's biggest meal delivery firm, Just Eat Takeaway, said on Wednesday it had struck a deal to sell its U.S. unit Grubhub to Wonder for $650 million, sending its shares soaring 20% in early trading. The Amsterdam-listed company had been looking to offload Chicago-based Grubhub since as early as 2022, after acquiring it in 2020 in a $7.3 billion deal amid a pandemic-driven boom in delivery services -- a process that was hampered by slowing growth, high taxes and a question of fee caps in New York City. "Just Eat Takeaway is at last putting an end to its disastrous U.S. journey," Bryan Garnier analyst Clement Genelot said, noting the group had destroyed more than $7 billion in shareholder value there. Grubhub's enterprise value of $650 million includes $500 million of senior notes and $150 million cash, Wonder said in a statement. Wonder is a food-delivery startup led by former Walmart executive Marc Lore.

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The White House said it's completed a $6.6 billion grant agreement with Taiwan Semiconductor Manufacturing Company (TSMC) through the Chips and Science Act. "Today's announcement is among the most critical milestones yet in the implementation of the bipartisan CHIPS & Science Act, and demonstrates how we are ensuring that the progress made to date will continue to unfold in the coming years, benefitting communities all across the country," Biden said in a statement. The Hill reports: The grant is expected to create $65 billion of private investment by TSMC in Arizona, Biden said, which will include three new facilities and the creation of tens of thousands of jobs by the end of the decade. The first of the company's new facilities is on track to open next year. Biden earlier this year announced a slew of preliminary grant agreements with companies, including TSMC, through the CHIPS law. The announcement of a final agreement underscores how the administration is hoping to get those deals across the finish line before President-elect Trump takes office. [...] Biden has repeatedly touted the importance of the CHIPS and Science Act, citing the prevalence of microchips that are used in everyday technology such as phones, cars, home appliances and more. Officials have said the law is critical to bolster domestic production of the chips to make the U.S. less reliant on foreign supply chains.

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Longtime Slashdot reader DaPhil writes: I taught myself to code at 12 years old in the 90s and I've always liked the back-and-forth with the runtime to achieve the right result. I recently got back from other roles to code again, and when starting a new project last year, I decided to give the new "AI assistants" a go. My initial surprise at the quality and the speed you can achieve when using ChatGPT and/or Copilot when coding turned sour over the months, as I realized that all the joy I felt about trying to get the result I want -- slowly improving my code by (slowly) thinking, checking the results against the runtime, and finally achieving success -- is, well, gone. What I do now is type English sentences in increasingly desperate attempts to get ChatGPT to output what I want (or provide snippets to Copilot to get the right autocompletion), which -- as they are pretty much black boxes -- is frustrating and non-linear: it either "just works," or it doesn't. There is no measure of progress. In a way, having Copilot in the IDE was even worse, since it often disrupts my thinking when suggesting completions. I've since disabled Copilot. Interestingly, I myself now feel somehow "disabled" without it in the IDE; however, the abstention has given me back the ability to sit back and think, and through that, the joy of programming. Still, it feels like I'm now somehow an ex-drug addict always on the verge of a relapse. I was wondering if any of you felt the same, or if I'm just... old.

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An anonymous reader quotes a report from The Guardian: This year's Web Summit, in Lisbon, was all about artificial intelligence -- and a robot sorting laundry. Digit, a humanoid built by the US firm Agility Robotics, demonstrated how far AI has come in a few years by responding to voice commands -- filtered through Google's Gemini AI model -- to sift through a pile of colored T-shirts and place them in a basket. It wasn't a seamless demonstration but the enthusiastic response, nearly two years on from the launch of ChatGPT, reflected the excitement about all things AI that pervaded Europe's biggest annual tech conference. [...] Digit is being used in warehouses by GXO, a US logistics company, to lift boxes and place them on conveyor belts. According to the chief executive of Agility Robotics, Peggy Johnson, a new role could be created managing teams of Digits doing physical work. "Employees who were previously doing this physical work, appreciate the fact that they can hand that off to Digit," she said. "Then it allows them to do a number of other things, one of which is to be a robot manager." "Talk of a bust in the AI boom could not be heard over the shouts of encouragement for Digit as it pondered different shades of garment," reports The Guardian. "Nonetheless, the voices of caution were there, discussing familiar themes such as safety, jobs and the climate, as AI comes to influence a huge range of industries."

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The Federal Trade Commission reported Friday that the number of consumer complaints about unwanted telemarketing phone calls has dropped over 50% since 2021, continuing a trend that started three years ago. From a report: This year, the FTC has received 1.1 million reports regarding robocalls, down from 1.2 million one year before 2023 and from more than 3.4 million in 2021. According to this year's National Do Not Call Registry Data Book -- which provides the most recent data on robocall complaints together with a complete state-by-state analysis -- the highest number of consumer complaints targeted unwanted calls about medical and prescription issues, with more than 170,000 reports (most of them robocalls) received until September 30, 2024.

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Economist: Britain has long been a pioneer in telecoms. In 1837 it built the world's first commercial telegraph; the first transatlantic call was placed from London in 1927; in 1992 a British programmer sent the first text message to a mobile phone. Today it lags rather than leads. According to figures provided to The Economist by Opensignal, a research firm, Britain ranks 46th for download speeds out of the 56 developed and developing countries for which there are data. That gives it the worst mobile service in the rich world. Some of this is due to demand. Over the past three years data usage on mobile devices has doubled as people stream films and play games. The busiest parts of cities often lack mobile reception because the system is at capacity. But mainly it is an issue of supply. British users of 5G are only on it 11% of the time. That puts Britain 43rd out of the 56 countries. This lacklustre performance is caused by a combination of government U-turns, insufficient investment and sclerotic planning.

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