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A Nice Little Cryptography Primer

By itss | 28/06/2021
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Pun Intended.

Category: Technology
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  • Furiosa's Energy-Efficient 'NPU' AI Chips Start Mass Production This Month, Challenging Nvidia
    by EditorDavid on 04/01/2026 at 3:34 pm

    The Wall Street Journal profiles "the startup that is now one of a handful of chip makers nipping at the heels of Nvidia." Furiosa's AI chip is dubbed "RNGD" — short for renegade — and slated to start mass production this month. Valued at nearly $700 million based on its most recent fundraising, Furiosa has attracted interest from big tech firms. Last year, Meta Platforms attempted to acquire it, though the startup declined the offer. OpenAI used a Furiosa chip for a recent demonstration in Seoul. LG's AI research unit is testing the chip and said it offered "excellent real-world performance." Furiosa said it is engaged in talks with potential customers. Nvidia's graphic processing units, or GPUs, dominated the initial push to train AI models. But companies like Furiosa are betting that for the next stage — referred to as "inference," or using AI models after they're trained — their specialty chips can be competitive. Furiosa makes chips called neural processing units, or NPUs, which are a rising class of chips designed specifically to handle the type of computing calculations underpinning AI and use less energy than GPUs. [Founder/CEO June] Paik said Furiosa's chips can provide similar performance as Nvidia's advanced GPUs with less electricity usage. That would drive down the total costs of deploying AI. The tech world, Paik says, shouldn't be so reliant on one chip maker for AI computing. "A market dominated by a single player — that's not a healthy ecosystem, is it?" Paik said... In 2024, at Stanford's prestigious Hot Chips conference, Paik debuted Furiosa's RNGD chip as a solution for what he called "sustainable AI computing" in a keynote speech. Paik presented data showing how the chip could run the then-latest version of Meta's Llama large language model with more than twice the power efficiency of Nvidia's high-end chips. Furiosa's booth was swarmed with engineers from big tech firms, including Google, Meta and Amazon.com, wanting to see a live demo of the chip. "It was a moment where we felt we could really move forward with our chip with confidence," Paik said. Read more of this story at Slashdot.

  • The US Effort to Break China's Rare-Earth Monopoly
    by EditorDavid on 04/01/2026 at 12:34 pm

    The New York Times checks in on U.S. university researchers and start-ups trying to create domestic rare-earth processing facility: There is too little money to be made in rare earths for the elements to be of much interest to mining giants, so the challenge of reestablishing a domestic industry has fallen to small companies like Phoenix Tailings, a Boston-area startup that runs the metal-making plant in Exeter, New Hampshire. A handful of other companies in the United States are processing rare earths in small quantities, including MP Materials, which owns a mine in Mountain Pass, California, and recently began producing rare-earth metal in Fort Worth, Texas. Similar efforts are underway in Europe and Asia. "It's small volumes of low-value materials that are very expensive to process," said Elsa Olivetti, a materials science and engineering professor at the Massachusetts Institute of Technology. "Meaning it's hard to make money." Phoenix Tailings' New Hampshire operation is about 2 months old, housed in a converted medical device plant. The company buys metric-ton bags of powder — a mixture of neodymium and praseodymium bound with oxygen — from mining and refining companies in the United States, South America and Australia. It funnels that flour-like material into a drying oven and eventually into furnaces that heat it to the temperature of volcanic lava. This circuit takes up less than 15,000 square feet and is designed to generate no emissions other than those associated with the electricity Phoenix Tailings uses. The closed-loop design distinguishes this process from the more energy-intensive techniques used in China, where workers scoop up molten metal with ladles. That approach releases perfluorocarbons, potent greenhouse gases that do not break down easily. In late 2024 the company was three weeks from bankruptcy — but it's recently been valued at $189 million. Read more of this story at Slashdot.

  • Reddit Surges in Popularity to Overtake TikTok in the UK - Thanks to Google's Algorithm?
    by EditorDavid on 04/01/2026 at 8:34 am

    Reddit "has overtaken TikTok as Britain's fourth most-visited social media service," reports the Guardian: The platform has undergone huge growth over the last two years, with an 88% increase in the proportion of UK internet users it reaches. Three in five Brits online now encounter the site, up from a third in 2023, according to Ofcom. Its popularity is rising fastest with younger internet users. It is now the sixth most visited organisation of any kind by UK users aged between 18 and 24, up from 10th a year earlier. More than three-quarters of that cohort now visit it.... The UK is a boom market for the platform, with the second largest user base behind the US, according to company records. A series of factors are behind its rise. However, a change in Google's search algorithms last year to prioritise helpful content from discussion forums appears to have been a significant driver. A recent deal with Google that allows the company to train its AI model on Reddit's content also appears to have provided a boost. Reddit is the most-cited source for Google AI overviews, which is likely to see more people directed to its forums. It has a similar deal with OpenAI, which owns the most popular AI chatbot, ChatGPT. According to the article, Reddit "believes it is also benefiting from shifting internet habits, as younger users seek out human-generated reviews and opinions." Read more of this story at Slashdot.

  • New Tesla Video Shows Tesla Semi Electric Truck Charging at 1.2 MW
    by EditorDavid on 04/01/2026 at 5:34 am

    An anonymous reader shared this report from Electrek: Tesla has released a new video showing a Tesla Semi truck charging at a massive 1.2 megawatts (MW), finally giving us a clear look at the charging speeds that will enable long-haul electric trucking...> Tesla claimed the Semi would be able to charge 70% of its range in 30 minutes. For a truck with a 500-mile range and an estimated battery pack of around 800-900 kWh, that requires an incredibly high power output, well beyond the 250 kW or even 350 kW we see on passenger EVs in North America. Today, the official Tesla Semi account on X released a video showing exactly that. In the video, Tesla engineers are seen monitoring a charging session where the power output climbs to a peak of 1.2 MW (1,206 kW). This is consistent with the capabilities Tesla announced for its new V4 Cabinet architecture earlier this year. The V4 cabinets are designed to support 400V-1000V vehicle architectures and can deliver up to 500 kW for cars (like the Cybertruck) and up to 1.2 MW for the Semi. There is some information missing from the video. For example, we don't see the state-of-charge of the truck, so we don't at what battery percentage Tesla Semi can achieve and maintain this charge rate. Peak speed is one thing, but sustaining that power without overheating the pack or the cable is the real challenge. The liquid-cooled charging cable and the immersion-cooled connector (part of the Megawatt Charging System or a high-power proprietary Tesla solution, though Tesla has been leaning toward MCS compatibility) seem to be doing their job.... This comes just as Tesla is gearing up for volume production of the Semi at its new factory expansion near Gigafactory Nevada. The automaker is targeting a start of production in the first half of 2026 and a ramp up to volume production in the second half. Read more of this story at Slashdot.

  • What Happened When Alaska's Court System Tried Answering Questions with an AI Chatbot?
    by EditorDavid on 04/01/2026 at 2:34 am

    An AI chatbot to answer probate questions from Alaska residents "was supposed to be a three-month project," said Aubrie Souza, a consultant with the National Center for State Courts told NBC News. "We are now at well over a year and three months, but that's all because of the due diligence that was required to get it right." "With a project like this, we need to be 100% accurate, and that's really difficult with this technology," said Stacey Marz, the administrative director of the Alaska Court System and one of the Alaska Virtual Assistant (AVA) project's leaders... While many local government agencies are experimenting with AI tools for use cases ranging from helping residents apply for a driver's license to speeding up municipal employees' ability to process housing benefits, a recent Deloitte report found that less than 6% of local government practitioners were prioritizing AI as a tool to deliver services. The AVA experience demonstrates the barriers government agencies face in attempting to leverage AI for increased efficiency or better service, including concerns about reliability and trustworthiness in high-stakes contexts, along with questions about the role of human oversight given fast-changing AI systems. These limitations clash with today's rampant AI hype and could help explain larger discrepancies between booming AI investment and limited AI adoption. The chatbot was developed with Tom Martin, a lawyer/law professor who designs legal AI tools, according to the article. But the project "had to contend with the serious issue of hallucinations, or instances in which AI systems confidently share false or exaggerated information." "We had trouble with hallucinations, regardless of the model, where the chatbot was not supposed to actually use anything outside of its knowledge base," Souza told NBC News. "For example, when we asked it, 'Where do I get legal help?' it would tell you, 'There's a law school in Alaska, and so look at the alumni network.' But there is no law school in Alaska." Martin has worked extensively to ensure the chatbot only references the relevant areas of the Alaska Court System's probate documents rather than conducting wider web searches. The article concludes that "what was meant to be a quick, AI-powered leap forward in increasing access to justice has spiraled into a protracted, yearlong journey plagued by false starts and false answers." But the chatbot is now finally scheduled to be launched in late January. "It was just so very labor-intensive to do this," Marz said, despite "all the buzz about generative AI, and everybody saying this is going to revolutionize self-help and democratize access to the courts. "It's quite a big challenge to actually pull that off." Read more of this story at Slashdot.

  • Google's $250M Deal with California to Fund Newsrooms May Be Stalled
    by EditorDavid on 03/01/2026 at 11:45 pm

    Remember how California's government negotiated a 2024 deal where Google contributed millions to California's local newsrooms to offset advertisers moving to the search engine? "A year after it was cemented — and billed as a model that could succeed where entire countries and continents had fallen short — the agreement is tangled in budget cuts, bureaucratic infighting and unresolved questions about who controls the money," reports Politico, "leaving journalists empty-handed and casting doubt on whether the lofty experiment will ever live up to its promise." The program, initially framed as a nearly $250 million commitment over five years, has secured just $20 million in new money for journalists in its first year, with no guarantee the funding will continue. It's changed hands twice since the University of California, Berkeley withdrew its support [with school officials "worried they wouldn't have enough of a say in how the money was distributed"]. Suggestions that other big tech players like ChatGPT-maker OpenAI could front more resources haven't materialized. A $62.5 million "AI accelerator" tied to the deal hasn't been set up yet. Not a single newsroom has seen a dollar of funding, and there's no definitive timeline spelling out when they will... [The article adds later that state officials "have yet to draft precise rules for how California will decide which newsrooms get cash..."] Conversations with at least 20 people involved in the deal's rollout reveal how California's budget shortfalls and intraparty spats among Democrats scrambled it... California's struggle to launch its program has dampened hopes of replicating its model in other states such as Oregon, Illinois and New York, where lawmakers have tried but failed to make Big Tech pay for news... When [California governor] Newsom unveiled his final state budget plan in May 2025 after a $12 billion deficit suddenly scrambled the state's finances, California's first-year commitment was reduced from $30 million to $10 million. Google followed suit within days and cut its first-year contribution from $15 million to $10 million... Whether the program even continues past 2026 is also unclear. Newsom's office declined to confirm whether the state will provide its $10 million commitment to the fund in the coming 2026-27 state budget. Newsom will also be termed out in 2027, and there's no requirement for his successor to honor the state's agreement with Google. Read more of this story at Slashdot.

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