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The Trump administration has lifted export restrictions that forced Anthropic to shut off public access to its Mythos and Fable models. After weeks of talks, Secretary of Commerce Howard Lutnick said Anthropic "has agreed to proactively detect and address security risks associated with the models; to work diligently with the U.S. government on protocols and standards and releases for Mythos, Fable and future models; and to inform the US government of any malicious activity." Access is set to begin returning July 1. TechCrunch reports: Anthropic had already publicly pledged to do much of this voluntarily, months before the export rule existed. That's part of why cybersecurity experts were skeptical of the restrictions in the first place. To them, the ban looked less like a security fix and more like leverage, a way for the Trump administration to punish Anthropic for its executives' public criticism of how the government, and the president's political opponents, might use the technology. Mythos was originally made available to a select group of organizations beginning in April to allay concerns about its ability to identify and exploit vulnerabilities in software, while a version called Fable was released to the public in June with additional security guardrails. However, with Asian AI companies beginning to release their own AI models approaching Mythos-level capabilities -- among them Fugu and Tulonfeng -- the US government was under pressure to ease its restrictions on Anthropic to ensure that American AI could compete globally. Last week, Lutnick cleared Mythos to be released to select customers approved by the White House. OpenAI's latest models were also released to a group of organizations approved by the Trump team, instead of the public. The Trump administration's erratic approach to AI policymaking has left companies across the industry with little clarity about what will govern future model releases. An executive order issued in June that signaled a desire to review models ahead of release was criticized by influential analysts like Dean W. Ball, who recently started a policy position at OpenAI.

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An anonymous reader quotes a report from Inside Climate News: A new state law limits Florida communities' aims to offset greenhouse gas emissions that are warming the global climate and intensifying disasters such as hurricanes. Specifically, HB 1217 prohibits local governments from pursuing net-zero emissions goals. At least 10 cities and counties have implemented such policies, including Fort Lauderdale, Miami, Orlando and Leon County, where Tallahassee, the state capital, is located. But the new law will not necessarily upend these policies, said Bradley Marshall, senior attorney at Earthjustice, an advocacy group. "It's certainly meant to scare municipalities and local governments from trying to do things to further net-zero policies," he said. "Now, its exact impact and what it exactly prohibits is probably up for some debate. Things that are adjacent to it -- emissions reductions and even climate change reduction policies -- on their face will not run afoul at all of a ban on adopting a net zero policy." The measure requires local governments to submit an affidavit annually to the state Department of Revenue verifying compliance. Gov. Ron DeSantis, a Republican, signed the measure on April 22, Earth Day, and the law will take effect July 1. It states that "net zero policies, carbon taxes and assessments, and emission trading programs are detrimental to this state's energy security and economic interests and inconsistent with the energy policy and the environmental policy of this state." [...] HB 1217 also prevents local governments from purchasing items such as vehicles or appliances based on the fuels they use or production of the items. Local governments may not participate in carbon-trading programs or use public funds to support other organizations with net-zero policies. Cities and counties also may not charge a tax or fee tied with carbon emissions. "This bill is definitely part of a larger coordinated push by the political enablers of the fossil fuel industry to obstruct any tools -- legal or legislative tools -- to hold the industry accountable for its contributions to climate change," said Laura Peterson, senior analyst at the Union for Concerned Scientists, an advocacy group. "Florida is really on the front lines. So I imagine the governor is taking this step because he sees what's coming down the pike. It's not getting better. So I can only assume that this is an effort to satisfy some of the pressures that he's getting from donors and from his party to protect the industry. And he's doing it at the expense of his constituents."

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Ford executives said they've hired 350 veteran engineers — some of them former employees — after AI and automated systems failed to deliver the desired quality, reports TechCrunch: Bloomberg reports the company's chief operating officer Kumar Galhotra told journalists that Ford had been "relying more and more on automated quality systems" with disappointing results. So the company "brought back technical specialists," and those specialists "hunt for failure points before a part ever reaches the plant floor." Charles Poon, Ford's vice president of vehicle hardware engineering, added, "Mistakenly we thought that by just introducing artificial intelligence and ingesting the design requirements that we had, that that would produce a high-quality product." The article points out that Ford is using the rehired gray beard engineers to train younger staff — and, to reprogram its AI tools.

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"South Korea plans to train every single member of its nearly half-million-strong military to operate drones as easily as they handle personal firearms," reports Ars Technica: The goal is to make drones a "universal combat tool" for all troops by training them to use drones like a "second personal weapon," said Ahn Gyu-back, South Korea's Minister of National Defense, in a June 26 briefing reported by Reuters and other media outlets. The announcement coincides with broader plans to equip individual military units with more cheap and expendable drones for surveillance and strike missions, along with deploying more counter-drone lasers and microwave weapons. Meanwhile, South Korea's former drone operations command headquarters that used to have direct command authority over combat units will be reorganized to focus on collaborating with South Korean industry on developing and procuring commercial drone technology, according to The Korea Times. The South Korean defense minister specifically cited the conflicts in Ukraine and the Middle East as inspiring such military reforms with a focus on drone technologies... Ukraine's use of drones and military robots as a force multiplier to offset its numerical disadvantage on the battlefield versus Russia's larger military may carry special resonance for South Korea, given that the South Korean military's current active-duty strength of 450,000 personnel faces a numerical disadvantage against North Korea's active-duty military consisting of more than 1.2 million soldiers... The defense ministry is starting out by providing 11,000 "training drones" to military personnel this year, with the goal of eventually deploying 60,000 drones across the military by 2029. An additional complication comes from the South Korean military looking to procure drones with 100 percent domestically produced components and no Chinese components due to security concerns, according to the defense minister's comments reported by Reuters... South Korean companies are building new military attack drones, but the defense ministry may struggle to find enough commercial drones made without Chinese components to train hundreds of thousands of military conscripts, said Min-Cheol Jung, a cofounder of the Team Retriever counter-drone red team based in South Korea, in a War on the Rocks article.

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"Amid growing public anger over A.I. and a debate over how to regulate it, a group of employers, state governors and foundations has raised $500 million to try to answer some of those questions themselves," reports the New York Times. "Just how many jobs will AI upend?" asks the Wall Street Journal, reporting that the new coalition says it's time to ready the U.S. workforce for a "major" disruption — no matter how large it turns out to be. The coalition "has so far raised more than $500 million — about half of its multiyear goal — from companies and nonprofit groups. It will initially work with state governments in Arkansas, Maryland, Utah and Connecticut. OpenAI and Anthropic are also involved, and academics including MIT economist David Autor sit on an advisory board." [The new "RAISE US" coalition] will be led by former Commerce Secretary Gina Raimondo, who served under former President Joe Biden, and former Indiana Gov. Eric Holcomb, a Republican. Its mandate, they said, isn't just to build retraining programs but also to reconsider decades-old policies such as unemployment insurance and act as a working lab for testing the most effective ways to transition workers to new fields. The group will explore corporate incentives for employers to hold on to workers whose jobs are disrupted by AI and prep them for new roles... The mission of the group is to "pull all the levers at once," Raimondo said. That means teaming up with employers to find ways to help workers gain skills or new roles and joining with educators to roll out different types of training. It also plans to propose policy changes such as tweaking unemployment benefits to let displaced workers continue to get them while they, for instance, start new businesses with AI... In Maryland, the group plans to expand a service-year option in the state to help people gain exposure to such growing fields as healthcare. An effort in Arkansas will focus on supporting "an AI-powered career navigation platform." More from New York Times: The organization will work primarily with governors... The theory: States generally control their community college systems, which can translate work force policy through course offerings and industry partnerships. The bulk of the budget will fund pilot programs overseen by about 15 staff members and consultants. For example, Maryland will expand a "service year" for recent high school graduates to provide experience in fields where there are shortages, such as health care. In other states, Raise Us hopes to offer "wage insurance" for workers who take lower-paying jobs rather than dropping out of the work force entirely. The group plans to furnish technical assistance for companies that want to retain workers as A.I. changes their roles, rather than eliminating them. Microsoft, one of the companies backing the organization, said it had already found a promising model: cross-training its entry-level lawyers in different parts of the organization and equipping them with A.I. skills in order for them to be repositioned as technology evolves. "You can think of doing that with almost any job we have," said Brad Smith, vice chair and president at Microsoft. "It creates an opportunity to transfer people from jobs that are being eliminated to jobs that are being created...." Ms. Raimondo and her colleagues are not fans of a universal basic income, an idea that has gained popularity in Silicon Valley as an answer to job disruption. They emphasize that work provides more than just wages, and plan to focus on helping people find pathways to new jobs. But it's unclear whether A.I. will create jobs at the rate that it will destroy them. Jack Malde studied work force policy for the Bipartisan Policy Center and is now going to work for the Windfall Trust, another A.I.-focused think tank. He said long-term income support might be necessary, even if better models for transitioning workers were found. "The truth is, there's still a lot of uncertainty," Mr. Malde said. "What we think is resilient now might not be resilient later. We're not going to get everything right, so we're going to need those strong safety-net programs." Long-time Slashdot reader theodp writes: If you think you've seen this movie before, prior to "partnering with governors, employers, and training partners to help the American workforce make a successful transition to an AI economy" with RAISE US, Raimondo and Holcomb partnered with governors, employers and training partners to help U.S. K-12 students make a successful transition to a CS economy with the Governors for Computer Science coalition.

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IBM has unveiled "what it says is the world's first sub-1-nanometer chip technology," reports ZDNet, "designed to pack nearly 100 billion transistors on a fingernail-size die, roughly doubling the density of IBM's earlier 2-nm test chip, first shown in 2021... Today, the smallest, most powerful chips top out at about 80 billion transistors." At the heart of the announcement is NanoStack. This is a three-dimensional, nanosheet-based transistor design that scales vertically, or along the z-axis, by stacking and staggering CMOS devices. Unlike today's nanosheet architectures, which IBM also pioneered and which are being adopted by leading foundries at 3 nm and 2 nm, NanoStack bonds two nanosheet transistors into a single vertical structure, with each tier optimized independently and contacted from opposite sides. Each transistor in the demonstrated structure uses three sub-5 nm-thick nanosheets, about "15 silicon atoms" across, separated by roughly 9 nm spacers. Two such devices are then bonded vertically using an ultra-thin dielectric process IBM describes as a key innovation. Because the top and bottom devices can use different channel materials, dielectrics, and metals, IBM argues NanoStack is less a single trick and more a transistor platform that can be extended through multiple generations: 7 angstrom (Å), 5 Å, 3 Å, and potentially down to 1 Å in its internal roadmap. An angstrom, by the by, is one ten-billionth of a meter. In terms of chips, an angstrom is a tenth of a nanometer. "This is the world's first sub-1 nanometer chip technology with a new transistor architecture," said Jay Gambetta, Director of IBM Research and IBM Fellow, during a press briefing. "We're not just making smaller transistors, we're reinventing how chips are built to deliver dramatically more power and energy efficiency...." Based on internal benchmarking against its 2 nm node, the company said its new chips will deliver up to 50% higher performance at the same power, or up to 70% lower power for the same performance. Big Blue also highlighted a 40% improvement in the scaling of static random-access memory (SRAM) cell area relative to its 2 nm technology. This is a change IBM described as a "step the industry hasn't seen in over a decade" and one that could be particularly important for AI accelerators that live or die on on-chip memory bandwidth... According to Huiming Bu, IBM's VP of silicon technology R&D, NanoStack is a new paradigm. It's moving chips to scaling fully into three dimensions and giving the industry at least "another decade" of logic advances as it crosses from nanometers into angstroms... The 40% SRAM density bump could also help architects push caches and on-die memory closer to compute units, cutting data movement overhead in training and inference workloads. IBM sees a path to production use "in as early as the next 5 years", according to the article, and "expects NanoStack to eventually underpin CPUs, GPUs, mobile SoCs, and SRAM arrays." IBM's VP of silicon technology R&D says the new innovation "can improve performance by 50% compared to the best available chip today, and at the same time can reduce power by 70%."

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The planets Neptune and Uranus may be better described as "magma-ocean giants" rather than "ice giants," according to a team of researchers from the University of California. Gizmodo reports: While the Voyager flyby confirmed the planets' classification as ice giants... [a]s the least explored planets in the solar system, the two planets have never been thoroughly investigated. Therefore, scientists aren't sure where the planets originally formed in the early solar system or the reason for their wildly chaotic magnetic fields. A long-standing hypothesis suggests that both worlds have a hydrogen/helium atmosphere that covers a vast mantle of ices, made primarily of water, ammonia, and methane, with a rocky core. The new study, however, notes that the three-layer model of an ice giant's interior structure is not the only way to explain the properties of the two planets. The researchers also point out that objects found in the Kuiper Belt, which are thought to preserve evidence of the material in the outer Solar System where Uranus and Neptune formed, are primarily composed of rock rather than ice. For the recent study, the researchers simulated different models for the interior processes and composition of Uranus and Neptune. The model that best fits Uranus's and Neptune's different properties suggests the two planets have a well-mixed magma ocean with dissolved hydrogen at the bottom and a hydrogen-dominated envelope at the top. The model suggests that at high pressures, hydrogen gas can dissolve into magma, forming a well-mixed fluid. This mixing might help explain Uranus's and Neptune's density, which has traditionally been interpreted as evidence for an ice-rich interior. The article notes that the theory "could also help scientists understand the interior structure of sub-Neptune planets in the Milky Way, which have thus far remained a mystery."

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