Long-time Slashdot reader schwit1 shares the announcement of a new report from the International Energy Forum: The seemingly universal presumption persists that the copper needed for the green transition will somehow be available... This paper addresses this issue by projecting copper supply and demand from 2018 to 2050 and placing both in the historical context of copper mine output...

Just to meet business-as-usual trends, 115% more copper must be mined in the next 30 years than has been mined historically until now. To electrify the global vehicle fleet requires bringing into production 55% more new mines than would otherwise be needed... Our main purpose... is to communicate the magnitude of the copper mining challenge to the broader public that is less familiar with upstream resource issues.
"On the other hand, hybrid electric vehicle manufacture would require negligible extra copper mining..." the report points out.

Wikipedia describes the non-profit as a 73-country organization promoting dialogue about the world's energy needs. The group's announcement ends with a hope that the report "will promote discussion and formulation of alternative policies to be certain the developing world can catch up with the developed world while global initiatives advance with the green energy transition."

This week the Washington Post reported that Americans "are more hesitant to buy EVs now than they were a year ago, according to a March Gallup poll, which found that just 44 percent of American adults say they'd consider buying an EV in the future, down from 55 percent last year. High prices and charging worries consistently rank as the biggest roadblocks for electric vehicles," they write, noting the concerns coincide with a slowdown in electric car and truck sales, while hybrids are increasing their market share.

But something else happened this week. The chair of California's Air Resource Board and the chair of the state's Energy Commission teamed up for an op-ed piece arguing that "despite negative hype," electric cars are their state's future: When California's electric vehicle sales dipped at the end of last year, critics predicted the start of a new downward trend that would doom the industry and the state's broader effort to clean up the transportation sector, the single largest source of greenhouse gases and air pollution. But the latest numbers show that's not the case. Californians purchased 108,372 new zero-emission vehicles in the first three months of 2024 — nearly 7,000 more than the same time last year and the highest-ever first-quarter sales.

Today, one in four new cars sold in the Golden State is electric, up from just 8% in 2020...

California is now home to 56 manufacturers of zero-emission vehicles and related products, making our state a hub for cutting-edge automotive technology. Soon even raw materials will be sourced in-state, paving the way for domestic battery production...

Challenges persist, and chief among them is the need for more widely available charging options. Many more charging stations need to be built as fast as possible to keep up with EV adoption. To address this, California is investing $4 billion over six years to rapidly build out the EV refueling network, on top of billions in investment by utilities. Equally essential is improved reliability of the EV charging network. Too many drivers today encounter faulty charging stations, which is why the California Energy Commission is developing the strongest charging reliability standards in the country and will require companies to be transparent with the public about their performance.
They also point out that California "now boasts more EV chargers in the state than gasoline nozzles."

And that it's become the first U.S. state whose best-selling car is electric.

"A Swiss biocomputing startup has launched an online platform that provides remote access to 16 human brain organoids," reports Tom's Hardware: FinalSpark claims its Neuroplatform is the world's first online platform delivering access to biological neurons in vitro. Moreover, bioprocessors like this "consume a million times less power than traditional digital processors," the company says. FinalSpark says its Neuroplatform is capable of learning and processing information, and due to its low power consumption, it could reduce the environmental impacts of computing. In a recent research paper about its developments, FinalSpakr claims that training a single LLM like GPT-3 required approximately 10GWh — about 6,000 times greater energy consumption than the average European citizen uses in a whole year. Such energy expenditure could be massively cut following the successful deployment of bioprocessors.

The operation of the Neuroplatform currently relies on an architecture that can be classified as wetware: the mixing of hardware, software, and biology. The main innovation delivered by the Neuroplatform is through the use of four Multi-Electrode Arrays (MEAs) housing the living tissue — organoids, which are 3D cell masses of brain tissue...interfaced by eight electrodes used for both stimulation and recording... FinalSpark has given access to its remote computing platform to nine institutions to help spur bioprocessing research and development. With such institutions' collaboration, it hopes to create the world's first living processor.
FinalSpark was founded in 2014, according to Wikipedia's page on wetware computing. "While a wetware computer is still largely conceptual, there has been limited success with construction and prototyping, which has acted as a proof of the concept's realistic application to computing in the future."

Thanks to long-time Slashdot reader Artem S. Tashkinov for sharing the article.

An anonymous reader shared this report from the Washington Post: Twice before, this Virginia carpenter had awoken in the predawn to start his work day only to find one of his vans broken into. Tools he depends on for a living had been stolen, and there was little hope of retrieving them. Determined to shut down thieves, he said, he bought a bunch of Apple AirTags and hid the locator devices in some of his larger tools that hadn't been pilfered. Next time, he figured, he would track them.

It worked.

On Jan. 22, after a third break-in and theft, the carpenter said, he drove around D.C.'s Maryland suburbs for hours, following an intermittent blip on his iPhone, until he arrived at a storage facility in Howard County. He called police, who got a search warrant, and what they found in the locker was far more than just one contractor's nail guns and miter saws.

The storage unit, stuffed with purloined power tools, led detectives to similar caches in other places in the next four months — 12 locations in all, 11 of them in Howard County — and the recovery of about 15,000 saws, drills, sanders, grinders, generators, batteries, air compressors and other portable (meaning easily stealable) construction equipment worth an estimated $3 million to $5 million, authorities said.
Some were stolen as long ago as 2014, a police spokesperson told the Washington Post, coming from "hundreds if not thousands" of victims...

An anonymous reader quotes a report from Bloomberg: California expects to avoid rolling blackouts this summer as new solar plants and large batteries plug into the state's grid at a rapid clip. The state's electricity system has been strained by years of drought, wildfires that knock out transmission lines and record-setting heat waves. But officials forecast Wednesday new resources added to the grid in the last four years would give California ample supplies for typical summer weather.

Since 2020, California has added 18.5 gigawatts of new resources. Of that, 6.6 gigawatts were batteries, 6.3 gigawatts were solar and 1.4 gigawatts were a combination of solar and storage. One gigawatt can power about 750,000 homes. In addition, the state's hydropower plants will be a reliable source of electricity after two wet winters in a row ended California's most recent drought. Those supplies would hold even if California experiences another heat wave as severe as the one that triggered rolling blackouts across the state in August 2020, officials said in a briefing Wednesday. In the most dire circumstances, the state now has backup resources that can supply an extra 5 gigawatts of electricity, including gas-fired power plants that only run during emergencies.

An anonymous reader quotes a report from Reuters: TikTok is working on a clone of its recommendation algorithm for its 170 million U.S. users that may result in a version that operates independently of its Chinese parent and be more palatable to American lawmakers who want to ban it, according to sources with direct knowledge of the efforts. The work on splitting the source code ordered by TikTok's Chinese parent ByteDance late last year predated a bill to force a sale of TikTok's U.S. operations that began gaining steam in Congress this year. The bill was signed into law in April. The sources, who were granted anonymity because they are not authorized to speak publicly about the short-form video sharing app, said that once the code is split, it could lay the groundwork for a divestiture of the U.S. assets, although there are no current plans to do so. The company has previously said it had no plans to sell the U.S. assets and such a move would be impossible. [...]

In the past few months, hundreds of ByteDance and TikTok engineers in both the U.S. and China were ordered to begin separating millions of lines of code, sifting through the company's algorithm that pairs users with videos to their liking. The engineers' mission is to create a separate code base that is independent of systems used by ByteDance's Chinese version of TikTok, Douyin, while eliminating any information linking to Chinese users, two sources with direct knowledge of the project told Reuters. [...] The complexity of the task that the sources described to Reuters as tedious "dirty work" underscores the difficulty of splitting the underlying code that binds TikTok's U.S. operations to its Chinese parent. The work is expected to take over a year to complete, these sources said. [...] At one point, TikTok executives considered open sourcing some of TikTok's algorithm, or making it available to others to access and modify, to demonstrate technological transparency, the sources said.

Executives have communicated plans and provided updates on the code-splitting project during a team all-hands, in internal planning documents and on its internal communications system, called Lark, according to one of the sources who attended the meeting and another source who has viewed the messages. Compliance and legal issues involved with determining what parts of the code can be carried over to TikTok are complicating the work, according to one source. Each line of code has to be reviewed to determine if it can go into the separate code base, the sources added. The goal is to create a new source code repository for a recommendation algorithm serving only TikTok U.S. Once completed, TikTok U.S. will run and maintain its recommendation algorithm independent of TikTok apps in other regions and its Chinese version Douyin. That move would cut it off from the massive engineering development power of its parent company in Beijing, the sources said. If TikTok completes the work to split the recommendation engine from its Chinese counterpart, TikTok management is aware of the risk that TikTok U.S. may not be able to deliver the same level of performance as the existing TikTok because it is heavily reliant on ByteDance's engineers in China to update and maintain the code base to maximize user engagement, sources added.

The staggering electricity demand needed to power next-generation technology is forcing the US to rely on yesterday's fuel source: coal. From a report: Retirement dates for the country's ageing fleet of coal-fired power plants are being pushed back as concerns over grid reliability and expectations of soaring electricity demand force operators to keep capacity online. The shift in phasing out these facilities underscores a growing dilemma facing the Biden administration as the US race to lead in artificial intelligence and manufacturing drives an unprecedented growth in power demand that clashes with its decarbonisation targets. The International Energy Agency estimates the AI application ChatGPT uses nearly 10 times as much electricity as Google Search.

An estimated 54 gigawatts of US coal powered generation assets, about 4 per cent of the country's total electricity capacity, is expected to be retired by the end of the decade, a 40 per cent downward revision from last year, according to S&P Global Commodity Insights, citing reliability concerns. "You can't replace the fossil plants fast enough to meet the demand," said Joe Craft, chief executive of Alliance Resource Partners, one of the largest US coal producers. "In order to be a first mover on AI, we're going to need to embrace maintaining what we have." Operators slowing down retirements include Alliant Energy, which last week delayed plans to convert its Wisconsin coal-fired plant to gas from 2025 to 2028. Earlier this year, FirstEnergy announced it was scrapping its 2030 target to phase out coal, citing "resource adequacy concerns." Further reading: Data Centers Could Use 9% of US Electricity By 2030, Research Institute Says.

An anonymous reader quotes a report from Ars Technica: When used to generate power or move vehicles, fossil fuels kill people. Particulates and ozone resulting from fossil fuel burning cause direct health impacts, while climate change will act indirectly. Regardless of the immediacy, premature deaths and illness prior to death are felt through lost productivity and the cost of treatments. Typically, you see the financial impacts quantified when the EPA issues new regulations, as the health benefits of limiting pollution typically dwarf the costs of meeting new standards. But some researchers from Lawrence Berkeley National Lab have now done similar calculations -- but focusing on the impact of renewable energy. Wind and solar, by displacing fossil fuel use, are acting as a form of pollution control and so should produce similar economic benefits. Do they ever. The researchers find that, in the U.S., wind and solar have health and climate benefits of over $100 for every Megawatt-hour produced, for a total of a quarter-trillion dollars in just the last four years. This dwarfs the cost of the electricity they generate and the total of the subsidies they received. [...]

As a result, the environmental and health benefits of wind in 2022 are estimated as being $143 for each Mw-hr, with solar providing $100/Mw-hr in benefits. Given the amount of power generated by wind and solar that year, that works out to a total of $62 billion and $12 billion, respectively. For the entire 2019-2022 period, they total up to $250 billion. Due to the uncertainties in various estimates, the researchers estimate that the real value for wind is somewhere between $91 and $183 per Mw-hr, with solar having a proportionate uncertainty. For comparison, they note that the unsubsidized costs of the electricity produced by wind and solar range from $20 to $60 per Mw-hr, depending on where the facility is sited. So, in some ways, the companies that own these plants are only receiving a very small fraction of the benefits of their operation. Wind and solar do receive subsidies, but even the most generous ones provided by the Inflation Reduction Act max out below $35/Mw-hr -- again, far less than the health and environmental benefits. The researchers note that most of these benefits (about 75 percent) come from the reduction in carbon dioxide emissions. Still, the nitrogen and sulfur emissions reductions were also substantial: They displaced the equivalent of roughly 20 percent of the power sector's total emissions of these chemicals. That translates into avoiding about 1,400 premature deaths in 2022 alone. The researchers acknowledge a number of limitations to their work. "One big one is that they don't include distributed solar at all, meaning their totals for that form of production are a significant underestimate," reports Ars, noting that the Energy Information Agency estimates that, in the U.S., distributed solar accounts for over 30 percent of total solar production. "It also, as mentioned, doesn't account for the use of storage such as batteries, which are increasingly used to offset the tail-off in solar production in the evenings."

"In addition, their work doesn't account for the intermittency of renewable power sources, which can sometimes result in the use of less efficient fossil fuel plants and so offset some of these benefits. The drop of wind and solar prices are also influencing decisions on what types of fossil fuel plants are getting built, disfavoring coal and increasing investments in natural gas plants that can respond quickly to changes in renewable output. Over the long term, this will result in additional benefits that can't be captured by this sort of short-term analysis."

The study has been published in the journal Cell Reports Sustainability.

An anonymous reader quotes an op-ed from The Globe and Mail, written by Kate Robertson and Ron Deibert. Robertson is a senior research associate and Deibert is director at the University of Toronto's Citizen Lab. From the piece: A federal cybersecurity bill, slated to advance through Parliament soon, contains secretive, encryption-breaking powers that the government has been loath to talk about. And they threaten the online security of everyone in Canada. Bill C-26 empowers government officials to secretly order telecommunications companies to install backdoors inside encrypted elements in Canada's networks. This could include requiring telcos to alter the 5G encryption standards that protect mobile communications to facilitate government surveillance. The government's decision to push the proposed law forward without amending it to remove this encryption-breaking capability has set off alarm bells that these new powers are a feature, not a bug.

There are already many insecurities in today's networks, reaching down to the infrastructure layers of communication technology. The Signalling System No. 7, developed in 1975 to route phone calls, has become a major source of insecurity for cellphones. In 2017, the CBC demonstrated how hackers only needed a Canadian MP's cell number to intercept his movements, text messages and phone calls. Little has changed since: A 2023 Citizen Lab report details pervasive vulnerabilities at the heart of the world's mobile networks. So it makes no sense that the Canadian government would itself seek the ability to create more holes, rather than patching them. Yet it is pushing for potential new powers that would infect next-generation cybersecurity tools with old diseases.

It's not as if the government wasn't warned. Citizen Lab researchers presented the 2023 report's findings in parliamentary hearings on Bill C-26, and leaders and experts in civil society and in Canada's telecommunications industry warned that the bill must be narrowed to prevent its broad powers to compel technical changes from being used to compromise the "confidentiality, integrity, or availability" of telecommunication services. And yet, while government MPs maintained that their intent is not to expand surveillance capabilities, MPs pushed the bill out of committee without this critical amendment last month. In doing so, the government has set itself up to be the sole arbiter of when, and on what conditions, Canadians deserve security for their most confidential communications -- personal, business, religious, or otherwise. The new powers would only make people in Canada more vulnerable to malicious threats to the privacy and security of all network users, including Canada's most senior officials. [...] "Now, more than ever, there is no such thing as a safe backdoor," the authors write in closing. "A shortcut that provides a narrow advantage for the few at the expense of us all is no way to secure our complex digital ecosystem."

"Against this threat landscape, a pivot is crucial. Canada needs cybersecurity laws that explicitly recognize that uncompromised encryption is the backbone of cybersecurity, and it must be mandated and protected by all means possible."

An anonymous reader shares a report: At a two-hour drive from Riyadh, Saudi Arabia's capital, rows of solar panels extend to the horizon like waves on an ocean. Despite having almost limitless reserves of oil, the kingdom is embracing solar and wind power, partly in an effort to retain a leading position in the energy industry, which is vitally important to the country but fast changing. Looking out over 3.3 million panels, covering 14 square miles of desert, Faisal Al Omari, chief executive of a recently completed solar project called Sudair, said he would tell his children and grandchildren about contributing to Saudi Arabia's energy transition.

Although petroleum production retains a crucial role in the Saudi economy, the kingdom is putting its chips on other forms of energy. Sudair, which can light up 185,000 homes, is the first of what could be many giant projects intended to raise output from renewable energy sources like solar and wind to around 50 percent by 2030. Currently, renewable energy accounts for a negligible amount of Saudi electricity generation. Analysts say achieving that hugely ambitious goal is unlikely. "If they get 30 percent, I would be happy because that would be a good signal," said Karim Elgendy, a climate analyst at the Middle East Institute, a research organization in Washington. Still, the kingdom is planning to build solar farms at a rapid pace. "The volumes you see here, you don't see anywhere else, only in China," said Marco Arcelli, chief executive of Acwa Power, Sudair's Saudi developer and a growing force in the international electricity and water industries.

The Saudis not only have the money to expand rapidly, but are free of the long permit processes that inhibit such projects in the West. "They have a lot of investment capital, and they can move quickly and pull the trigger on project development," said Ben Cahill, a senior fellow at the Center for Strategic and International Studies, a research institution in Washington. Even Saudi Aramco, the crown jewel of the Saudi economy and the producer of nearly all its oil, sees a shifting energy landscape. To gain a foothold in solar, Aramco has taken a 30 percent stake in Sudair, which cost $920 million, the first step in a planned 40-gigawatt solar portfolio -- more than Britain's average power demand -- intended to meet the bulk of the government's ambitions for renewable energy. The company plans to set up a large business of storing greenhouse gases underground.

Data centers could use up to 9% of total electricity generated in the United States by the end of the decade, more than doubling their current consumption, as technology companies pour funds into expanding their computing hubs, the Electric Power Research Institute said on Wednesday. From a report: Depending on the adoption pace of technology such as generative artificial intelligence, which is fueling the expansion of data centers, and the energy efficiency of new centers, the estimated annual growth rate of electricity use by the industry ranges from 3.7% to 15% through 2030, the institute's analysis said. The institute is a U.S.-based research organization funded by energy and government organizations.

Data centers, along with expanding domestic manufacturing and electrification of transportation, are lifting the U.S. electricity industry out of two decades of flat growth. The centers require massive amounts of power for high-intensity computing and cooling systems, with a new large data center requiring the same amount of electricity needed to power 750,000 homes, according to numerous energy company earnings calls this year.

IP core designer Arm announced its next-generation CPU and GPU designs for flagship smartphones: the Cortex-X925 CPU and Immortalis G925 GPU. Both are direct successors to the Cortex-X4 and Immortalis G720 that currently power MediaTek's Dimensity 9300 chip inside flagship smartphones like the Vivo X100 and X100 Pro and Oppo Find X7. From a report: Arm changed the naming convention for its Cortex-X CPU design to highlight what it says is a much faster CPU design. It claims the X925's single-core performance is 36 percent faster than the X4 (when measured in Geekbench). Arm says it increased the AI workload performance by 41 percent, time to token, with up to 3MB of private L2 cache. The Cortex-X925 brings a new generation of Cortex-A microarchitectures ("little" cores) with it, too: the Cortex-A725, which Arm says has 35 percent better performance efficiency than last-gen's A720 and a 15 percent more power-efficient Cortex-A520.

Arm's new Immortalis G925 GPU is its "most performant and efficient GPU" to date, it says. It's 37 percent faster on graphics applications compared to the last-gen G720, with improved ray-tracing performance with intricate objects by 52 percent and improved AI and ML workloads by 34 percent -- all while using 30 percent less power. For the first time, Arm will offer "optimized layouts" of its new CPU and GPU designs that it says will be easier for device makers to "drop" or implement into their own system on chip (SoC) layouts. Arm says this new physical implementation solution will help other companies get their devices to market faster, which, if true, means we could see more devices with Arm Cortex-X925 and / or Immortalis G925 than the few that shipped with its last-gen ones.

Tokyo Electric Power Company Holdings (TEPCO) showcased a remote-controlled robot on Tuesday that will retrieve small pieces of melted fuel debris from the damaged Fukushima Daiichi nuclear power plant later this year. The robot, developed by Mitsubishi Heavy Industries, features an extendable pipe and tongs capable of picking up granule-sized debris. TEPCO plans to remove less than 3 grams of debris during the test at the No. 2 reactor, marking the first such operation since the 2011 meltdown caused by a magnitude 9.0 earthquake and tsunami. The removal of the estimated 880 tons of highly radioactive melted fuel from the three damaged reactors is crucial for the plant's decommissioning, which critics say may take longer than the government's 30-40 year target.

OpenAI said on Tuesday that it has begun training a new flagship AI model that would succeed the GPT-4 technology that drives its popular online chatbot, ChatGPT. From a report: The San Francisco start-up, which is one of the world's leading A.I. companies, said in a blog post that it expects the new model to bring "the next level of capabilities" as it strives to build "artificial general intelligence," or A.G.I., a machine that can do anything the human brain can do. The new model would be an engine for A.I. products including chatbots, digital assistants akin to Apple's Siri, search engines and image generators.

OpenAI also said it was creating a new Safety and Security Committee to explore how it should handle the risks posed by the new model and future technologies. "While we are proud to build and release models that are industry-leading on both capabilities and safety, we welcome a robust debate at this important moment," the company said. OpenAI is aiming to move A.I. technology forward faster than its rivals, while also appeasing critics who say the technology is becoming increasingly dangerous, helping to spread disinformation, replace jobs and even threaten humanity. Experts disagree on when tech companies will reach artificial general intelligence, but companies including OpenAI, Google, Meta and Microsoft have steadily increased the power of A.I. technologies for more than a decade, demonstrating a noticeable leap roughly every two to three years.

Millions of Americans face the threat of dangerous heatwaves in the coming weeks with another summer of record-breaking temperatures forecast to hit the US. From a report: Most of New Mexico and Utah -- alongside parts of Arizona, Texas and Colorado -- have the highest chance (60% to 70%) of seeing hotter-than-average summer temperatures, according to the National Oceanic and Atmospheric Administration (Noaa). In addition, the entire north-east -- from Maine down to Pennsylvania and New Jersey -- as well as a large stretch from Louisiana to Arizona, Washington and Idaho, have a 40% to 50% chance of experiencing above-average temperatures from June through August. Only south-west Alaska is expected to have below-normal temperatures.

"We can expect another dangerous hot summer season, with daily records already being broken in parts of Texas and Florida," said Kristy Dahl, principal climate scientist for the Climate and Energy program at the Union of Concerned Scientists. "As we warm the planet, we are going to see climate disasters pile up and compound against each other because of the lack of resilience in our infrastructure and government systems." Texas has already been hit with a series of tornadoes, unprecedented floods and record-breaking temperatures. Earlier in May, temperatures spiked as hundreds of thousands of households around Houston were left without power after a destructive storm killed at least seven people and damaged transmission towers and power lines.

Nashville-based Yoshi Mobility launched in 2015 to deliver gasoline to vehicle owners, reports Forbes. But this week the company announced they'll begin converting GM electric delivery vans into "mobile EV superchargers" — fast, battery-powered 240 kw DC chargers — for corporate fleets of electric cars. "There's kind of this critical grid problem and so we think that we can accelerate towards an EV future and this is a unique way that we can do it," said [cofounder/CEO Bryan] Frist in an interview. "The mobile charger can charge and then it can multiplex all the spots. So we tell people, it can electrify every spot in your parking lot."

Each mobile supercharger can service between five and seven vehicles according to Frist. With perhaps two superchargers operating on a fleet operator's lot, one would service a vehicle while the other supercharger would replenish its own charge off the grid and they would alternate, according to Frist. "What we say is we can do that same charge instead of three and a half hours, we can do in 10 minutes, and we can move around your lot," Frist says. "You don't have to put in all the infrastructure. You don't have to build it out. You just contract with us."

The company plans to begin with a "handful" of mobile superchargers in [GM's] BrightDrop vans but expects to ramp up production and begin commercializing more widely during the first quarter of 2025... The mobile superchargers will complement Yoshi Mobility's existing offering of high-capacity mobile generators that sit on a fleet operator's lot putting out as much as a megawatt of power and can service a larger number of vehicles than the mobile units.

This week the Washington Post noted that just last year nearly 1.2 million more electric vehicles were sold in America, "accounting for over 7 percent of total new car sales and a new national record." But "data show that EV sales are far outpacing growth in the U.S. charging network... In 2016, there were seven electric cars for each public charging point; today, there's more than 20 electric cars per charger."

The article points out that 80% of America's EV's are just charging at home, according to the U.S. Energy Department. (Which seems to leave one public charger for every four EVs that don't charge at home.) And the article notes several other important caveats: Experts say that there is no "magic number" for the best ratio of EVs on the road to public chargers. "It absolutely depends on the local landscape," said Peter Slowik, U.S. passenger vehicles lead for the International Council on Clean Transportation. Globally, there is about 1 public charger for every 11 EVs, according to the International Energy Agency. But in countries where there are more single-family homes and garages, the ratio could be lower....

In a way, the United States' slow charging build-out could be a benefit in the long-term: Many automakers have now promised to switch to Tesla's charging connector in the next few years, which could help put most cars on the same system.

Not everyone agrees there is a delay. Slowik says that his team's research shows that the United States is on-track for building out the charging needed over the next eight years. An increase in the number of EVs per public charger is a natural part of the adoption process, he argues, that will subside with more sales and as more chargers come online.
Still, the article argues if Americans continue buying electric cars, public chargers will be essential "to support long road trips, help apartment-dwellers go electric and alleviate overnight pressure on electricity grids."

Today U.S. Transportation Secretary Pete Buttigieg reiterated America's commitment to having a national network of 500,000 charges by 2030, saying the country is at "the absolute very, very beginning stages of the construction to come."

"64% of Americans live within 2 miles of a public charging station," Pew Research reported this week, citing a survey paired with an analysis of U.S. Energy Department data that found over 61,000 publicly accessible charging stations.

And those who live closest to public chargers "view EVs more positively." The vast majority of EV charging occurs at home, but access to public infrastructure is tightly linked with Americans' opinions of electric vehicles themselves. Our analysis finds that Americans who live close to public chargers view EVs more positively than those who are farther away. Even when accounting for factors like partisan identification and community type, Americans who live close to EV chargers are more likely to say they:

- Already own an electric or hybrid vehicle
- Would consider buying an EV for their next vehicle
- Favor phasing out production of new gasoline cars and trucks by 2035
- Are confident that the U.S. will build the necessary infrastructure to support large numbers of EVs on the roads

The number of EV charging stations has more than doubled since 2020. In December 2020, the Department of Energy reported that there were nearly 29,000 public charging stations nationwide. By February 2024, that number had increased to more than 61,000 stations. Over 95% of the American public now lives in a county that has at least one public EV charging station.

EV charging stations are most accessible to residents of urban areas: 60% of urban residents live less than a mile from the nearest public EV charger, compared with 41% of those in the suburbs and just 17% of rural Americans.
California is home to about 25% of all of America's charging stations, according to the report. But this means EV-owning Californians "might also have a harder time than residents of many states when it comes to the actual experience of finding and using a charger." Despite having the most charging stations of any state, California's 43,780 individual public charging ports must provide service for the more than 1.2 million electric vehicles registered to its residents. That works out to one public port for every 29 EVs, a ratio that ranks California 49th across all 50 states and the District of Columbia.

At the other end of the spectrum, Wyoming (one-to-six), North Dakota (one-to-six) and West Virginia (one-to-eight) have the most ports relative to the much smaller number of EVs registered in their respective states.
Another interesting finding? "Attitudes toward EVs don't differ that much based on how often people take long car trips.

"In fact, those who regularly drive more than 100 miles are slightly more likely to say they currently own an electric vehicle or hybrid — and also to say they'd consider purchasing an EV in the future — when compared with those who make these trips less often."

"While general-purpose languages like Python, C++, and Java remain popular in AI development," writes VentureBeat, "the resurgence of AI-first languages signifies a recognition that AI's unique demands require specialized languages tailored to the domain's specific needs... designed from the ground up to address the specific needs of AI development." Bend, created by Higher Order Company, aims to provide a flexible and intuitive programming model for AI, with features like automatic differentiation and seamless integration with popular AI frameworks. Mojo, developed by Modular AI, focuses on high performance, scalability, and ease of use for building and deploying AI applications. Swift for TensorFlow, an extension of the Swift programming language, combines the high-level syntax and ease of use of Swift with the power of TensorFlow's machine learning capabilities...

At the heart of Mojo's design is its focus on seamless integration with AI hardware, such as GPUs running CUDA and other accelerators. Mojo enables developers to harness the full potential of specialized AI hardware without getting bogged down in low-level details. One of Mojo's key advantages is its interoperability with the existing Python ecosystem. Unlike languages like Rust, Zig or Nim, which can have steep learning curves, Mojo allows developers to write code that seamlessly integrates with Python libraries and frameworks. Developers can continue to use their favorite Python tools and packages while benefiting from Mojo's performance enhancements... It supports static typing, which can help catch errors early in development and enable more efficient compilation... Mojo also incorporates an ownership system and borrow checker similar to Rust, ensuring memory safety and preventing common programming errors. Additionally, Mojo offers memory management with pointers, giving developers fine-grained control over memory allocation and deallocation...

Mojo is conceptually lower-level than some other emerging AI languages like Bend, which compiles modern high-level language features to native multithreading on Apple Silicon or NVIDIA GPUs. Mojo offers fine-grained control over parallelism, making it particularly well-suited for hand-coding modern neural network accelerations. By providing developers with direct control over the mapping of computations onto the hardware, Mojo enables the creation of highly optimized AI implementations.

According to Mojo's creator, Modular, the language has already garnered an impressive user base of over 175,000 developers and 50,000 organizations since it was made generally available last August. Despite its impressive performance and potential, Mojo's adoption might have stalled initially due to its proprietary status. However, Modular recently decided to open-source Mojo's core components under a customized version of the Apache 2 license. This move will likely accelerate Mojo's adoption and foster a more vibrant ecosystem of collaboration and innovation, similar to how open source has been a key factor in the success of languages like Python.

Developers can now explore Mojo's inner workings, contribute to its development, and learn from its implementation. This collaborative approach will likely lead to faster bug fixes, performance improvements and the addition of new features, ultimately making Mojo more versatile and powerful.
The article also notes other languages "trying to become the go-to choice for AI development" by providing high-performance execution on parallel hardware. Unlike low-level beasts like CUDA and Metal, Bend feels more like Python and Haskell, offering fast object allocations, higher-order functions with full closure support, unrestricted recursion and even continuations. It runs on massively parallel hardware like GPUs, delivering near-linear speedup based on core count with zero explicit parallel annotations — no thread spawning, no locks, mutexes or atomics. Powered by the HVM2 runtime, Bend exploits parallelism wherever it can, making it the Swiss Army knife for AI — a tool for every occasion...

The resurgence of AI-focused programming languages like Mojo, Bend, Swift for TensorFlow, JAX and others marks the beginning of a new era in AI development. As the demand for more efficient, expressive, and hardware-optimized tools grows, we expect to see a proliferation of languages and frameworks that cater specifically to the unique needs of AI. These languages will leverage modern programming paradigms, strong type systems, and deep integration with specialized hardware to enable developers to build more sophisticated AI applications with unprecedented performance. The rise of AI-focused languages will likely spur a new wave of innovation in the interplay between AI, language design and hardware development. As language designers work closely with AI researchers and hardware vendors to optimize performance and expressiveness, we will likely see the emergence of novel architectures and accelerators designed with these languages and AI workloads in mind. This close relationship between AI, language, and hardware will be crucial in unlocking the full potential of artificial intelligence, enabling breakthroughs in fields like autonomous systems, natural language processing, computer vision, and more.

The future of AI development and computing itself are being reshaped by the languages and tools we create today.
In 2017 Modular AI's founder Chris Lattner (creator of the Swift and LLVM) answered questions from Slashdot readers.

It's "one of the most talked about devices in Silicon Valley," according to tech writer/investor Om Malik.

The company's web site calls it "the computer, de-invented," promising a tablet with "the world's first full-speed paper-like display." But Its founder has structured the company as a Public Benefit Corporation, with its web site describing the eyestrain-relieving tablet as "designed for deep focus and wellbeing. We refuse to accept a future where our devices are exhausting, addictive, and distracting."

Malik writes that Daylight Computer founder Anjan Katta suffers from ADHD, and "wanted something that allowed him few distractions and allowed him to work with intent." What the company has created is a beautiful tablet — about the size of a normal iPad Air. It is just a "little less than white," white, with a gorgeous screen. It is very simple, elegant, and lovely. It has an e-ink screen, and the matte monochrome paper-like display is optimized for reading, writing, and note-taking. It refreshes at 60 frames per second, a pretty big deal for e-ink displays. This different screen technology developed by the company is called LivePaper and it feels as snappy as anything you have experienced on an iPad. This is what puts it a notch above other e-ink tablets. This is precisely why the new Daylight tablet is much less stressful on the eye and easy to use even in direct sunlight. It has 8 GB memory, about 128 GB in-built storage, an 8-core chip, microphones, speakers, and a powerful battery.

There is no camera — thank God!
An ad from the company suggests the tablet "might change the way you think about screens," promising their device is "less distraction. Less addiction. Less eyestrain. Less blue light... Technology that feels a little bit more human, a bit less demanding."

The blog of product designer Arun Venkatesan calls it one of those devices that "signals an exciting new era where we can harness the power of technology without sacrificing our ability to live intentional, balanced lives."

Tom's Guide notes the tablet "is designed to run normal Android apps, and comes pre-installed with apps like Audible, Kindle, Google Docs and more" — and this may be the only the beginning: Based on various podcast interviews we could find of Katta, the DC1 isn't the end goal of the company. Katta wants to see the Live Paper display in all kinds of devices like monitors, laptops and watches.

Is the Daylight DC1 a technology flash in the pan or will we see a wave of Live Paper devices in the future? It'll be interesting to see how this devices truly works once its in people's hands.