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"Solar and wind accounted for almost 91% of new U.S. electrical generating capacity added in the first five months of 2025..." reports Electrek, citing new data from America's Federal Energy Regulatory Commission. "Solar has now been the largest source of new generating capacity added each month for 21 consecutive months, starting September 2023." The 11,518 MW of solar added during the first five months of 2025 was 75.3% of the total new capacity placed into service... Between January and May, new wind provided 2,379 MW of capacity additions, accounting for 15.6% of all new capacity added during the first five months of 2025. For the first five months of 2025, solar and wind comprised 90.9% of new capacity while natural gas (1,381 MW) provided just 9.0%; the remaining 0.1% came from oil (14 MW). Solar + wind are 22.9% of U.S. utility-scale generating capacity. The installed capacities of solar (11.1%) and wind (11.8%) are now each more than a tenth of the U.S. total. Taken together, they constitute 22.9% of the U.S.'s total available installed utility-scale generating capacity. At least 25-30% of U.S. solar capacity is in the form of small-scale (e.g., rooftop) systems that are not reflected in FERC's data. Including that additional solar capacity would bring the share provided by solar + wind to more than a quarter of the U.S. total. With the inclusion of hydropower (7.7%), biomass (1.1%), and geothermal (0.3%), renewables currently claim a 32.0% share of total US utility-scale generating capacity. If small-scale solar capacity is included, renewables are now about one-third of total US generating capacity.... Taken together, the net new "high probability" capacity additions by all renewable energy sources over the next three years — the bulk of the Trump Administration's remaining time in office — would total 113,097 MW. There is no new nuclear capacity in FERC's three-year forecast, while coal and oil are projected to contract by 24,913 MW and 1,907 MW, respectively... If FERC's current "high probability" additions materialize by May 1, 2028, solar will account for 16.7% of US installed utility-scale generating capacity. Wind would provide an additional 12.7% of the total. Thus, each would be greater than coal (12.2%) and substantially more than nuclear power or hydropower (each 7.2%). In fact, assuming current growth rates continue, the installed capacity of utility-scale solar is likely to surpass that of either coal or wind within two years... At the end of 2024, the mix of all renewables accounted for 30.96% of total generating capacity. Solar alone was 10.19% while wind was 11.68%. By the end of May, renewables' share had risen to 31.98% with solar at 11.13% and wind at 11.80%. FERC also says that 43 "units" of solar totaling 1,515 megawatts (MW) were placed into service in May, according to the article, "accounting for 58.7% of all new generating capacity added during the month."

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The U.S. government's 10% stake in Intel "is a mistake," writes the Washington Post's editorial board, calling Intel "an aging also-ran in critical markets" that "has spent recent years stumbling on execution and missing one strategic opportunity after another." But TechCrunch points out that the U.S. government "does not appear to be committing new funds. Instead, it's simply making good on what Intel described as 'grants previously awarded, but not yet paid, to Intel.'" Specifically, the $8.9 billion is supposed to come from $5.7 billion awarded-but-not-paid to Intel under the Biden administration's CHIPS Act, as well as $3.2 billion also awarded by the Biden administration through the Secure Enclave program. In a post on his social network Truth Social, Trump wrote, "The United States paid nothing for these shares..." Trump has been critical of the CHIPS Act, calling it a "horrible, horrible thing" and calling on House Speaker Mike Johnson to "get rid" of it... According to The New York Times, some bankers and lawyers believe the CHIPS Act may not allow the government to convert its grants to equity, opening this deal to potential legal challenges. Reuters writes that the money "will not be enough for its contract-chipmaking business to flourish, analysts said. Intel still needs external customers for its cutting-edge 14A manufacturing process to go to production, says Summit Insights analyst Kinngai Chan, "to make its foundry arm economically viable." "We don't think any government investment will change the fate of its foundry arm if they cannot secure enough customers..." Reuters has reported that Intel's current 18A process — less advanced than 14A — is facing problems with yield, the measure of how many chips printed are good enough to make available to customers. Large chip factories including TSMC swallow the cost of poor yields during the first iterations of the process when working with customers like Apple. For Intel, which reported net losses for six straight quarters, that's hard to do and still turn a profit. "If the yield is bad then new customers won't use Intel Foundry, so it really won't fix the technical aspect of the company," said Ryuta Makino, analyst at Gabelli Funds, which holds Intel stock. Makino, who believes that Intel can ultimately produce chips at optimal yields, views the deal as a net negative for Intel compared with just receiving the funding under the CHIPS Act as originally promised under the Biden Administration. "This isn't free money," he said. The federal government will not take a seat on Intel's board and has agreed to vote with the company's board on matters that need shareholder approval, Intel said. But this voting agreement comes with "limited exceptions" and the government is getting Intel's shares at a 17.5% discount to their closing price on Friday. The stake will make the U.S. government Intel's biggest shareholder, though neither Trump nor Intel disclosed when the transaction would happen... Some analysts say Intel could benefit from the government's support, including in building out factories. Intel has said it is investing more than $100 billion to expand its U.S. factories and expects to begin high-volume chip production later this year at its Arizona plant. "To have access to capital and a new partial owner that wants to see you succeed are both important," said Peter Tuz, president of Chase Investment Counsel.

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Last weekend New Zealand experienced an hour-long air traffic control failure that disrupted flights, leaving five plans circling and four others unable to take off, according to Radio New Zealand. The country's sole air traffic service provider, Airways, now says it was caused by a software glitch when flight data was unable to be transferred between systems: [Airways chief executive James Young told Morning Report] "We noticed that was not occurring as it should and as a result of that our air traffic controllers took measures to manage traffic, either by holding on the ground or in an air hold." Airways operated a modern air traffic control system that involved back up systems but Young said they were not instantaneous and it took time to validate flight information data. "At no point did we lose control of all aircraft. We were able to communicate with all aircraft and we had line of sight of all aircraft," Young said. He said flights in the New Zealand air space were held, put into a hold with two eventually continuing on and three returning to origin... "What we couldn't do was process any changes to the flight path during the period of the outage, which lasted for about one hour." Thanks to Slashdot reader twosat for sharing the news.

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"Only a tiny fraction of the more than 7,000 languages on Earth are supported by artificial intelligence models," reported SiliconANGLE this week. So Nvidia announced "a massive new AI-ready dataset and models to support the development of high-quality AI translation for European languages." The new dataset, named Granary, is a massive open-source corpus of multilingual audio, including more than a million hours of audio, plus 650,000 hours of speech recognition and 350,000 hours of speech translation. Nvidia's speech AI team collaborated with researchers from Carnegie Mellon University and Fondazione Bruno Kessler to process unlabeled audio and public speech data into information usable for AI training... Granary includes 25 European languages, representing nearly all of the European Union's 24 official languages, plus Russian and Ukrainian. The dataset also contains languages with limited available data, such as Croatian, Estonian and Maltese. This is critically important because providing these underrepresented human-annotated datasets will enable developers to create more inclusive speech technologies for audiences who speak those languages, while using less training data in their AI applications and models... The team demonstrated in their research paper that, compared to other popular datasets, it takes around half as much Granary training data to achieve high accuracy for automatic speech recognition and automatic speech translation. Alongside Granary, Nvidia also released new Canary and Parakeet models to demonstrate what can be created with the dataset... The new Canary is available under a fairly permissive license for commercial and research use, expanding Canary's current languages from four to 25. It offers transcription and translation quality comparable to models three times larger while running inference up to 10 times faster. At 1 billion parameters, it can run completely on-device on most next-gen flagship smartphones for speech translation on the fly.

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