2025-06-23 10:12:00
U.S. consumers "rank problems with public electric vehicle charging and the time it takes to recharge as their top two reasons for rejecting electric vehicles," writes the New York Times, citing figures from data analytics firm J.D. Power. But are things getting better? Automakers and charging companies are building new stations and updating their cars to allow drivers to more easily and quickly recharge their vehicles. They're also outfitting charging stations with items such as food and bathrooms, and making the devices more reliable. Because chargers are only as fast as the cars they connect with, automakers are designing new cars to absorb electricity at higher speeds. In addition, many automakers have cut deals with Tesla to allow owners of other cars to use the company's fast-charging network, the largest in the country and widely considered the most reliable. Early evidence suggests efforts to improve electric vehicle charging are paying off. In recent years, J.D. Power surveys showed about 20% of attempts to charge electric vehicles at all public stations ended in failure because of faulty chargers, long lines or payment glitches. But in the first three months of 2025, overall failure rates fell to 16%, the biggest improvement since the surveys began in 2021. "The industry is finally elevating as a whole," said Brent Gruber, an executive director at J.D. Power. The number of chargers has also increased. There were about 55,200 fast chargers in the United States in May, up from 42,200 a year earlier, according to federal data. In February, a former Phillips 66 gas station in Apex, N.C., near Raleigh, became the first "Rechargery" from Ionna, a company created by eight automakers, including General Motors, Hyundai Motors, BMW and Mercedes-Benz. Their chargers can deliver up to 400 kilowatts of juice, much more than Tesla's 250-kilowatt Superchargers. Some cars can replenish a battery in 30 minutes or less at the higher charging speeds. When connected to chargers of 350 kilowatts or more, including those at Ionna and Electrify America, another fast-charging network, a Hyundai Ioniq 5 can fill its electric "tank" from 10% to 80% in 18 minutes... Some models from BMW, Hyundai and Kia have also enabled a national "Plug and Charge" standard that lets car owners begin charging their vehicles at Ionna stalls without first having to use a smartphone app or swipe a credit card, eliminating a step that sometimes results in errors. Tesla's chargers have long worked this way for Tesla cars and now work with some other vehicles, including Rivian's SUVs and pickups. More cars and charging stations are expected to have plug-and-charge capability in the coming months... Nearly every major automaker is redesigning their cars with plug outlets and software that are compatible with Tesla chargers. Infrastructure upgrades are happening elsewhere too, according to the article.Texas-based gas chain Buc-ee's is offering "premium" charging using renewable power (working with Mercedes), while Waffle House plans to install BP Pulse fast chargers next year. J.D. Power's Gruber says that while America's federal charger program only helped construct a tiny fraction of new chargers, it did also published guidelines which helped automakers and charging companies work together and address technical problems.
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2025-06-23 08:12:00
The developer-focused analyst firm RedMonk releases twice-a-year rankings of programming language popularity. This week they also released a handy graph showing the movement of top 20 languages since 2012. Their current rankings for programming language popularity... 1. JavaScript 2. Python 3. Java 4. PHP 5. C# 6. TypeScript 7. CSS 8. C++ 9. Ruby 10. C The chart shows that over the years the rankings really haven't changed much (other than a surge for TypeScript and Python, plus a drop for Ruby). JavaScript has consistently been #1 (except in two early rankings, where it came in behind Java). And in 2020 Java finally slipped from #2 down to #3, falling behind... Python. Python had already overtaken PHP for the #3 spot in 2017, pushing PHP to a steady #4. C# has maintained the #5 spot since 2014 (though with close competition from both C++ and CSS). And since 2021 the next four spots have been held by Ruby, C, Swift, and R. The only change in the current top 20 since the last ranking "is Dart dropping from a tie with Rust at 19 into sole possession of 20," writes RedMonk co-founder Stephen O'Grady. "In the decade and a half that we have been ranking these languages, this is by far the least movement within the top 20 that we have seen. While this is to some degree attributable to a general stasis that has settled over the rankings in recent years, the extraordinary lack of movement is likely also in part a manifestation of Stack Overflow's decline in query volume..." The arrival of AI has had a significant and accelerating impact on Stack Overflow, which comprises one half of the data used to both plot and rank languages twice a year... Stack Overflow's value from an observational standpoint is not what it once was, and that has a tangible impact, as we'll see.... As that long time developer site sees fewer questions, it becomes less impactful in terms of driving volatility on its half of the rankings axis, and potentially less suggestive of trends moving forward... [W]e're not yet at a point where Stack Overflow's role in our rankings has been deprecated, but the conversations at least are happening behind the scenes. "The veracity of the Stack Overflow data is increasingly questionable," writes RedMonk's research director: When we use Stack Overflow for programming language rankings we measure how many questions are asked using specific programming language tags... While other pieces, like Matt Asay's AI didn't kill Stack Overflow are right to point out that the decline existed before the advent of AI coding assistants, it is clear that the usage dramatically decreased post 2023 when ChatGPT became widely available. The number of questions asked are now about 10% what they were at Stack Overflow's peak. "RedMonk is continuing to evaluate the quality of this analysis," the research director concludes, arguing "there is value in long-lived data, and seeing trends move over a decade is interesting and worthwhile. On the other hand, at this point half of the data feeding the programming language rankings is increasingly stale and of questionable value on a going-forward basis, and there is as of now no replacement public data set available. "We'll continue to watch and advise you all on what we see with Stack Overflow's data."
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2025-06-23 06:34:00
OpenAI appears to have pulled a much-discussed video promoting the friendship between CEO Sam Altman and legendary Apple designer Jony Ive (plus, incidentally, OpenAI's $6.5 billion deal to acquire Ive and Altman's device startup io) from its website and YouTube page. [Though you can still see the original on Archive.org.] Does that suggest something is amiss with the acquisition, or with plans for Ive to lead design work at OpenAI? Not exactly, according to Bloomberg's Mark Gurman, who reports [on X.com] that the "deal is on track and has NOT dissolved or anything of the sort." Instead, he said a judge has issued a restraining order over the io name, forcing the company to pull all materials that used it. Gurman elaborates on the disappearance of the video (and other related marketing materials) in a new article at Bloomberg: Bloomberg reported last week that a judge was considering barring OpenAI from using the IO name due to a lawsuit recently filed by the similarly named IYO Inc., which is also building AI devices. "This is an utterly baseless complaint and we'll fight it vigorously," a spokesperson for Ive said on Sunday. The video is still viewable on X.com, notes TechCrunch. But visiting the "Sam and Jony" page on OpenAI now pulls up a 404 error message — written in the form of a haiku: Ghost of code lingers Blank space now invites wonder Thoughts begin to soar by o4-mini-high
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2025-06-23 05:34:00
"The worlds of Linux and Windows finally came together in real life..." writes The Verge: Microsoft co-founder Bill Gates and Linus Torvalds, the creator of the Linux kernel, have surprisingly never met before. That all changed at a recent dinner hosted by Sysinternals creator Mark Russinovich... "No major kernel decisions were made," jokes Russinovich in a post on LinkedIn. More from the Linux news blog Linuxiac: The man on the left is Mark Russinovich, a software engineer, author, and co-founder of Sysinternals, now CTO of Azure, Microsoft's cloud computing platform. He has become synonymous with deep Windows diagnostics and cloud-scale management. In the late 1990s, his suite of tools (Process Explorer, Autoruns, Procmon) revolutionized the way administrators and security professionals understood Windows internals. The man on the far right is another living legend: Dave Cutler. Let me put it this way — he's one of the key people behind OpenVMS and the brilliant lead architect who designed Windows NT's kernel and hardware-abstraction layer — technologies that remain at the heart of every current Windows release, from server farms to laptops. So, it's no surprise that people often call him the "father of Windows NT."
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2025-06-23 04:23:00
With no one behind the steering wheel, a Tesla robotaxi passes Guero's Taco Bar in Austin Texas, making a right turn onto Congress Avenue. Today is the day Austin became the first city in the world to see Tesla's self-driving robotaxi service, reports The Guardian: Some analysts believe that the robotaxis will only be available to employees and invitees initially. For the CEO, Tesla's rollout is slow. "We could start with 1,000 or 10,000 [robotaxis] on day one, but I don't think that would be prudent," he told CNBC in May. "So, we will start with probably 10 for a week, then increase it to 20, 30, 40." The billionaire has said the driverless cars will be monitored remotely... [Posting on X.com] Musk said the date was "tentatively" 22 June but that this launch date would be "not real self-driving", which would have to wait nearly another week... Musk said he planned to have one thousand Tesla robotaxis on Austin roads "within a few months" and then he would expand to other cities in Texas and California. Musk posted on X that riders on launch day would be charged a flat fee of $4.20, according to Reuters. And "In recent days, Tesla has sent invites to a select group of Tesla online influencers for a small and carefully monitored robotaxi trial..." As the date of the planned robotaxi launch approached, Texas lawmakers moved to enact rules on autonomous vehicles in the state. Texas Governor Greg Abbott, a Republican, on Friday signed legislation requiring a state permit to operate self-driving vehicles. The law does not take effect until September 1, but the governor's approval of it on Friday signals state officials from both parties want the driverless-vehicle industry to proceed cautiously... The law softens the state's previous anti-regulation stance on autonomous vehicles. A 2017 Texas law specifically prohibited cities from regulating self-driving cars... The law requires autonomous-vehicle operators to get approval from the Texas Department of Motor Vehicles before operating on public streets without a human driver. It also gives state authorities the power to revoke permits if they deem a driverless vehicle "endangers the public," and requires firms to provide information on how police and first responders can deal with their driverless vehicles in emergency situations. The law's requirements for getting a state permit to operate an "automated motor vehicle" are not particularly onerous but require a firm to attest it can safely operate within the law... Compliance remains far easier than in some states, most notably California, which requires extensive submission of vehicle-testing data under state oversight. Tesla "planned to operate only in areas it considered the safest," according to the article, and "plans to avoid bad weather, difficult intersections, and will not carry anyone below the age of 18." More details from UPI: To get started using the robotaxis, users must download the Robotaxi app and use their Tesla account to log in, where it then functions like most ridesharing apps... "Riders may not always be delivered to their intended destinations or may experience inconveniences, interruptions, or discomfort related to the Robotaxi," the company wrote in a disclaimer in its terms of service. "Tesla may modify or cancel rides in its discretion, including for example due to weather conditions." The terms of service include a clause that Tesla will not be liable for "any indirect, consequential, incidental, special, exemplary, or punitive damages, including lost profits or revenues, lost data, lost time, the costs of procuring substitute transportation services, or other intangible losses" from the use of the robotaxis. Their article includes a link to the robotaxi's complete Terms of Service: To the fullest extent permitted by law, the Robotaxi, Robotaxi app, and any ride are provided "as is" and "as available" without warranties of any kind, either express or implied... The Robotaxi is not intended to provide transportation services in connection with emergencies, for example emergency transportation to a hospital... Tesla's total liability for any claim arising from or relating to Robotaxi or the Robotaxi app is limited to the greater of the amount paid by you to Tesla for the Robotaxi ride giving rise to the claim, and $100... Tesla may modify these Terms in our discretion, effective upon posting an updated version on Tesla's website. By using a Robotaxi or the Robotaxi app after Tesla posts such modifications, you agree to be bound by the revised Terms.
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2025-06-23 03:10:00
How AI will reshape the future of work? The Washington Post looks at India's $280 billion call-center and "business process outsourcing" industry, which employs over 3 million people. 2023 saw the arrival of a real-time "accent-altering software" — now used by at least 42,000 call center agents: Those who use the software are engaging in "digital whitewashing," critics say, which helps explain why the industry prefers the term "accent translation" over "accent neutralization." But companies say it's delivering results: happier customers, satisfied agents, faster calls. Many are not convinced. Whatever short-term gains automation may offer to workers, they say, it will ultimately eliminate far more jobs than it creates. They point to the quality assurance process: When callers hear, "this call may be monitored," that now usually refers to an AI system, not a human [which now can review all calls for compliance and tone]... "AI is going to crush entry-level white-collar hiring over the next 24 to 36 months," said Mark Serdar, who has spent his career helping Fortune 500 companies expand their global workforce. "And it's happening faster than most people realize...." Already, chatbots, or "virtual agents," are handling basic tasks like password resets or balance updates. AI systems are writing code, translating emails, onboarding patients, and analyzing applications for credit cards, mortgages and insurance. The human jobs are changing, too. AI "co-pilots" are providing call center agents with instant answers and suggested scripts. At some companies, bots have started handling the calls. There is no shortage of ominous predictions about the implications for India's labor force. Within a year, there will only be a "minimal" need for call centers, K Krithivasan, CEO of Indian IT company Tata Consultancy Services, recently told the Financial Times. The Brookings Institution found 86 percent of customer service tasks have "high automation potential." More than a quarter of jobs in India have "high exposure" to AI, the International Monetary Fund has warned. "There is a rapid wave coming," said Pratyush Kumar, co-founder of Sarvam, a leading Indian AI firm, which recently helped a major insurance provider make 40 million automated phone calls informing enrollees that their insurance program was expiring. He said corporate clients are all asking him to help reduce headcount... While AI may be phasing out certain jobs, its defenders say it is also creating different kinds of opportunities. Teleperformance, along with hundreds of other companies, has hired thousands of data annotators in India — many of them women in small towns and rural areas — to label training images and videos for AI systems. Prompt engineers, data scientists, AI trainers and speech scientists are all newly in demand... At some firms, those who previously worked in quality assurance have transitioned to performance coaching, said [Sharath Narayana, co-founder of AI speech tools company Sanas], whose previous firm, Observe.ai, also built QA software. Still, he admits, 10 to 20 percent of workers he observed "could not upskill at all" and were probably let go. Even the most hopeful admit that workers who can't adapt will fall behind. "It's like the industrial revolution," said Prithvijit Roy, Accenture's former lead for its Global AI Hub. "Some will suffer." The article also notes that while Indian universities produce over a million engineering graduates each year, "placement rates are falling at leading IT firms; salaries have stagnated."
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