Apple reportedly has full access to customize Google's Gemini model, allowing it to distill smaller on-device AI models for Siri and other features that can run locally without an internet connection. MacRumors reports: The Information explains that Apple can ask the main Gemini model to perform a series of tasks that provide high-quality results, with a rundown of the reasoning process. Apple can feed the answers and reasoning information that it gets from Gemini to train smaller, cheaper models. With this process, the smaller models are able to learn the internal computations used by Gemini, producing efficient models that have Gemini-like performance but require less computing power.

Apple is also able to edit Gemini as needed to make sure that it responds to queries in a way that Apple wants, but Apple has been running into some issues because Gemini has been tuned for chatbot and coding applications, which doesn't always meet Apple's needs.

An anonymous reader quotes a report from the Wall Street Journal: A battle of insults and threats has broken out between the tech world and Wall Street. What's got everyone so worked up? The same thing that starts most fights: business software. A series of social-media posts went viral in recent days with claims that AI has created a worthy -- and way cheaper -- alternative to the Bloomberg terminal, a computer system that is like oxygen to professional investors. Now "Bloomberg is cooked," some posters argued as they heralded the arrival of a newly released AI tool from startup Perplexity. [...]

The finance bros who worship at the altar of Bloomberg have declared war on the tech evangelists who have put all their faith in AI. To suggest that the terminal is replaceable is "laughable," said Jason Lemire, who jumped into the conversation on LinkedIn. (Ironically or not, his post also included an AI-generated image of churchgoers praying to the Bloomberg terminal). "It seems quite obvious to me that those propagating that post are either just looking for easy engagement and/or have never worked in a serious financial institution," he wrote. [...] Morgan Linton, the co-founder and CTO of AI startup Bold Metrics and an avid Perplexity Computer user, said it's rare for a single AI prompt to generate anything close to what Bloomberg does. That said, he added that tools like this can lay "a really good foundation for a financial application. And that really has not been possible before."

Others aren't so sure. Michael Terry, an institutional investment manager who used the terminal for more than 30 years, said he used a prompt circulating online to try to vibe code a Bloomberg replica on Anthropic's Claude. "It was laughable at best, horrific at worst," he said. Shevelenko acknowledged there are some aspects of the terminal that can't be replicated with vibe coding, including some of Bloomberg's proprietary data inputs. The live chat network, which includes 350,000 financial professionals in 184 countries, would also be hard to re-create, as well as the terminal's data security, reliability and robust support system. "I love Bloomberg. And I know most people that use Bloomberg are very, very loyal and extremely happy," said Lemire. His message to the techies? "There's nothing that you can vibe code in a weekend or even like over the course of a year that's going to come anywhere close."

Apple's new MacBook Neo is "easier to repair than other modern MacBooks," according to Ars Technica's Andrew Cunningham. It introduces a more repairable internal design that makes components like the battery and keyboard easier and cheaper to replace. An anonymous reader quotes an excerpt from the report: Replacements for pretty much any component in the Neo are simpler and involve fewer steps and tools than in the M5 MacBook Air. That includes the battery, which in the MacBook Air is attached to the chassis with multiple screws and adhesive strips but which in the Neo comes out relatively easily after you get some shielding and flex cables out of the way. But the most significant change in the Neo is that the keyboard is its own separate component. For essentially all modern MacBooks, going back at least as far as the late-2000s unibody aluminum MacBook designs, the keyboard has been integrated into the top part of the laptop case and is extremely difficult, if not impossible, to replace independently.

[...] Apple hasn't yet listed MacBook Neo components in its parts store, but based on the repair prices it has announced, Neo components should cost quite a bit less than those for higher-end MacBooks. An out-of-warranty battery replacement for the Neo will cost $149, down from $199 for current Airs and $229 for current MacBook Pros; fixing accidental screen or external enclosure damage will cost AppleCare+ subscribers $49 for a Neo, down from $99 for other MacBooks.

CNN reports on a company called Automated Architecture (AUAR) which makes "portable" micro-factories that use a robotic arm to produce wooden framing for houses (the walls, floors and roofs): Co-founder Mollie Claypool says the micro-factories will be able to produce the panels quicker, cheaper and more precisely than a timber framing crew, freeing up carpenters to focus on the construction of the building... The micro-factory fits into a shipping container which is sent to the building site along with an operator. Inside the factory, a robotic arm measures, cuts and nails the timber into panels up to 22 feet (6.7 meters) long, keeping gaps for windows and doors, and drilling holes for the wiring and plumbing. The contractor then fits the panels by hand.

One micro-factory can produce the panels for a typical house in about a day — a process which, according to Claypool, would take a normal timber framing crew four weeks — and is able to produce framing for buildings up to seven stories tall... She says their service is 30% cheaper than a standard timber framing crew, and up to 15% cheaper than buying panels from large factories and shipping them to a site... She adds that the precision of the micro-factories means that the panels fit together tightly, reducing the heat loss of the final home, making them more energy efficient.

AUAR currently has three micro-factories operating in the US and EU, with five more set to be delivered this year... AUAR has raised £7.7 million ($10.3 million) to date, and is expanding into the US, where a lack of housing and preference for using wood makes it a large potential market.
There's other companies producing wooden or modular housing components, the article points out. But despite the automation, the company's co-founder insists to CNN that "Automation isn't replacing jobs. Automation is filling the gap." The UK's Construction Industry Training Board found that the country will need 250,000 more workers by 2028 to meet building targets but in 2023, more people left the industry than joined.

OpenAI today released GPT-5.4, an upgraded ChatGPT model designed to be faster, cheaper, and more accurate for workplace tasks. The update also introduces tools that let ChatGPT work directly inside Excel and Google Sheets. Axios reports: GPT-5.4 is designed to be less error-prone, more efficient and better at workplace tasks like drafting documents, OpenAI said. The new model can create files in fewer tries with less back-and-forth than prior models, the company said. GPT-5.4 outperformed office workers 83% of the time on GDPval, an OpenAI benchmark measuring performance on real-world tasks across 44 occupations.

The model can also solve problems using fewer tokens, OpenAI says -- which can translate to faster responses and lower costs. The company is also debuting OpenAI for Financial Services, a set of new tools that includes the version of ChatGPT that runs inside spreadsheets and new apps and skills within ChatGPT. Partners include FactSet, MSCI, Third Bridge and Moody's.

schwit1 shares a report from Slow Boring: A new report (PDF) from the Center for Global Development documents that most of [the decentralized solar/battery systems used in poor countries in sub-Saharan Africa] use lead-acid batteries, like Americans use in cars. Lead-acid batteries work for a while and then need to be recycled. If they're recycled safely, that's fine. But in poor countries, most lead-acid batteries are not recycled safely and they become a huge source of toxic lead poisoning. C.G.D. believes that decentralized solar systems are currently generating somewhere between 250,000 and 1.5 million tons of unsafe lead-acid battery waste per year, a number that could grow much higher.

Americans have mostly heard about lead issues in recent years due to the tragic situation in Flint, Michigan. But on the whole, lead exposure via faulty water pipes is a relatively minor issue. Across American history, the biggest culprits for lead exposure have been lead paint and leaded gasoline. Both were phased out decades ago, but old paint chips and lingering lead in soil have remained problems for years, albeit at diminishing rates.

The global situation is quite different and much worse, to the point that in low- and middle-income countries, half of children have blood lead levels above the threshold that would trigger emergency action in the United States. It sounds fantastical to cite numbers this high. But there is credible (albeit somewhat uncertain) research indicating that five million people per year die as a result of lead-induced cardiovascular impairments. And roughly 20 percent of the gap in academic achievement between poor and rich countries is due to lead's impact on kids' cognitive development. The report goes on to note that lead-acid batteries dominate solar storage in poorer countries because they're far cheaper than lithium-ion alternatives. When these lead batteries reach end-of-life, they are often recycled unsafely, creating significant lead pollution.

It's difficult to determine the scale of the problem due to limited data and minimal attention from policymakers, but researchers say it could become massive as solar adoption accelerates. Since safer battery technologies and proper recycling methods already exist, the issue largely stems from cost and lack of regulation. In other words, the problem is solvable if addressed early.

Interesting Engineering reports: US tech giant Google announced on Tuesday that it will build a new data center in Pine Island, Minnesota. The new facility will be powered by 1.9 gigawatts (GW) of clean energy from wind and solar, coupled with a 300-megawatt battery, claimed to be the 'world's largest', with a 30-gigawatt-hour (GWh) capacity and 100-hour duration... The planned battery would dwarf a 19 GW lithium-ion project in the UAE...

Form Energy's batteries work very differently from most large batteries today. Instead of using lithium like the batteries in electric cars, they store electricity by making iron rust and then reversing the rusting process to release the energy when needed... Form's iron-air batteries are heavier and less efficient than their counterparts; they can only return about 50% to 70% of the energy used to charge them, while lithium-ion batteries return more than 90%. However, Form's batteries have one distinct advantage. They are cheaper than lithium-ion batteries, costing about $20 per kilowatt-hour of storage, which is almost three times as cheap... It will store 150 MWh of electricity and can supply to the grid for up to 100 hours, delivering about 1.5 MW at peak output.
Thanks to long-time Slashdot reader schwit1 for sharing the article.

Anthropic last week promoted Claude Code Security, a research preview capability that uses its Claude Opus 4.6 model to hunt for software vulnerabilities, claiming its red team had surfaced over 500 bugs in production open-source codebases -- but security researchers say the real bottleneck was never discovery.

Guy Azari, a former security researcher at Microsoft and Palo Alto Networks, told The Register that only two to three of those 500 vulnerabilities have been fixed and none have received CVE assignments. The National Vulnerability Database already carried a backlog of roughly 30,000 CVE entries awaiting analysis in 2025, and nearly two-thirds of reported open-source vulnerabilities lacked an NVD severity score.

The curl project closed its bug bounty program because maintainers could no longer handle the flood of poorly crafted reports from AI tools and humans alike. Feross Aboukhadijeh, CEO of security firm Socket, said discovery is becoming dramatically cheaper but validating findings, coordinating with maintainers, and developing architecture-aligned patches remains slow, human-intensive work.

This week Raspberry Pi saw its stock price surge more than 60% above its early-February low (before giving up some gains at the end of the week). Reuters notes the rise started when CEO Eben Upton bought 13,224 pounds worth of shares — but there could be another reason. "The rally in the roughly $800 million company has materialised alongside social-media buzz that demand for its single-board computers could pick up as people buy them to run AI agents such as OpenClaw."

The Register explains: The catalyst appears to have been the sudden realization by one X user, "aleabitoreddit," that the agentic AI hand grenade known as OpenClaw could drive demand for Raspberry Pis the way it had for Apple Mac Minis. The viral AI personal assistant, formerly known as Clawdbot and Moltbot, has dominated the feeds of AI boosters over the past few weeks for its ability to perform everyday tasks like sending emails, managing calendars, booking appointments, and complaining about their meatbag masters on the purportedly all-agent forum known as MoltBook... In case it needs to be said, no one should be running this thing on their personal devices lest the agent accidentally leak your most personal and sensitive secrets to the web... In this context, a cheap low-power device like a Raspberry Pi makes a certain kind of sense as a safer, saner way to poke the robo-lobster...
The Register argues Raspberry Pis aren't as cheap as they used to be "thanks in part to the global memory crunch. Today, a top-specced Raspberry Pi 5 with 16GB of memory will set you back more than $200, up from $120 a year ago."

"You know what's cheaper, easier, and more secure than letting OpenClaw loose on your local area network? A virtual private cloud..."

Programmer/entrepreneur Paul Ford is the co-founder of AI-driven business software platform Aboard. This week he wrote a guest essay for the New York Times titled "The AI Disruption Has Arrived, and It Sure Is Fun," arguing that Anthropic's Claude Code "was always a helpful coding assistant, but in November it suddenly got much better, and ever since I've been knocking off side projects that had sat in folders for a decade or longer... [W]hen the stars align and my prompts work out, I can do hundreds of thousands of dollars worth of work for fun (fun for me) over weekends and evenings, for the price of the Claude $200-a-month."

He elaborates on his point on the Aboard.com blog: I'm deeply convinced that it's possible to accelerate software development with AI coding — not deprofessionalize it entirely, or simplify it so that everything is prompts, but make it into a more accessible craft. Things which not long ago cost hundreds of thousands of dollars to pull off might come for hundreds of dollars, and be doable by you, or your cousin. This is a remarkable accelerant, dumped into the public square at a bad moment, with no guidance or manual — and the reaction of many people who could gain the most power from these tools is rejection and anxiety. But as I wrote....

I believe there are millions, maybe billions, of software products that don't exist but should: Dashboards, reports, apps, project trackers and countless others. People want these things to do their jobs, or to help others, but they can't find the budget. They make do with spreadsheets and to-do lists.

I don't expect to change any minds; that's not how minds work. I just wanted to make sure that I used the platform offered by the Times to say, in as cheerful a way as possible: Hey, this new power is real, and it should be in as many hands as possible. I believe everyone should have good software, and that it's more possible now than it was a few years ago.
From his guest essay: Is the software I'm making for myself on my phone as good as handcrafted, bespoke code? No. But it's immediate and cheap. And the quantities, measured in lines of text, are large. It might fail a company's quality test, but it would meet every deadline. That is what makes A.I. coding such a shock to the system... What if software suddenly wanted to ship? What if all of that immense bureaucracy, the endless processes, the mind-boggling range of costs that you need to make the computer compute, just goes?

That doesn't mean that the software will be good. But most software today is not good. It simply means that products could go to market very quickly. And for lots of users, that's going to be fine. People don't judge A.I. code the same way they judge slop articles or glazed videos. They're not looking for the human connection of art. They're looking to achieve a goal. Code just has to work... In about six months you could do a lot of things that took me 20 years to learn. I'm writing all kinds of code I never could before — but you can, too. If we can't stop the freight train, we can at least hop on for a ride.

The simple truth is that I am less valuable than I used to be. It stings to be made obsolete, but it's fun to code on the train, too. And if this technology keeps improving, then all of the people who tell me how hard it is to make a report, place an order, upgrade an app or update a record — they could get the software they deserve, too. That might be a good trade, long term.

An anonymous reader quotes a report from the Financial Post: In 2024, the Ethiopian government banned the import of fossil fuel-powered vehicles and slashed tariffs on their electric equivalents. It was a policy driven less by the country's climate ambitions and more by fiscal pressures. For years, subsidizing gasoline for consumers has been a major drag on Ethiopia's budget, costing the state billions of dollars over the past decade. The country defaulted on its sovereign bonds in 2023 after rising interest rates drove up the costs of servicing its debts, and it received a $3.4 billion bailout from the International Monetary Fund the following year.

In the two years since the ban on internal combustion engine vehicles, EV adoption has grown from less than 1% to nearly 6% of all of the vehicles on the road in the country -- according to the government's own figures -- some way above the global average of 4%. "The Ethiopia story is fascinating," said Colin McKerracher, head of clean transport at BloombergNEF. "What you're seeing in places that don't make a lot of vehicles of any type, they're saying: 'Well, look, if I'm going to import the cars anyway, then I'd rather import less oil. We may as well import the one that cleans up local air quality and is cheaper to buy.'"

For decades, Ethiopia's high import tariffs on vehicles put new car ownership out of the reach of most of the country's population. Per capita gross domestic product is only about $1,000, and even by the standards of low-income countries, it has among the lowest car ownership rates. At 13 vehicles per 1,000 people, it's a fraction of the African average of 73. With few cars manufactured in the country, the vast majority are imported, and most are bought used. The government's import policy has upended the market. In parallel, tariffs for EVs were dropped to 15% for completed cars, 5% for parts and semi-assembled vehicles, and zero for "fully knocked down" -- vehicles shipped in parts and assembled locally. That has made new EVs cost-competitive with old gasoline cars.

Electric vehicles accounted for just 1% of new car sales across Africa in 2025, but a study published in Nature Energy by researchers at ETH Zurich finds that EVs paired with solar off-grid charging systems -- solar panels, batteries and an inverter -- could become cheaper to own than gas-powered equivalents across most of the continent by 2040.

The analysis considered total cost of ownership including sticker price, financing and fuel or charging costs, but excluded policy-related factors like taxes and subsidies. Electric two-wheelers could reach cost parity even sooner, by the end of the decade, thanks to smaller battery packs.

Small cars remain the toughest segment. The biggest obstacle is financing: in some African countries, political instability and economic uncertainty push borrowing costs so high that interest on an EV loan can exceed the vehicle's purchase price. South Africa, Mauritius and Botswana are already near the financing conditions needed for cost parity; countries like Sudan and Ghana would need drastic cuts.

The blog OMG Ubuntu reports that a new version of the Raspberry Pi 4 Model B has been (quietly) introduced. "The key difference? It now uses a dual-RAM configuration." The Raspberry Pi 4 Model B (PCB 13a) adopts a dual-RAM configuration to 'improve supply chain flexibility' and manufacturing efficiency, per a company product change notice document. Earlier versions of the Raspberry Pi 4 use a single RAM chip on the top of the board. The new revision adds a second LPDDR4 chip to the underside, with a couple of passive components also moved over... In moving to a dual-chip layout, Raspberry Pi can combine two smaller — and marginally cheaper — modules to hit the same RAM totals amidst fluctuating component costs...

This change will not impact performance (for better or worse). The Broadcom BCM2711 SoC has a 32-bit wide memory interface so the bandwidth stays identical; this is not doubling the memory bus, it's just a physical split, not a logical one. Plus, the new board is fully compatible with existing official accessories, HATs and add-ons. All operating systems that support the Pi 4 will work, but as the memory setup is different a new version of the boot-loader will need to be flashed first.

Memory prices across DRAM, NAND and HBM have surged 80 to 90% quarter-over-quarter in Q1 2026, according to Counterpoint Research's latest Memory Price Tracker. The price of a 64GB RDIMM has jumped from a Q4 2025 contract price of $450 to over $900, and Counterpoint expects it to cross $1,000 in Q2.

NAND, relatively stable last quarter, is tracking a parallel increase. Device makers are cutting DRAM content per device, swapping TLC SSDs for cheaper QLC alternatives, and shifting orders from the now-scarce LPDDR4 to LPDDR5 as new entry-level chipsets support the newer standard. DRAM operating margins hit the 60% range in Q4 2025 -- the first time conventional DRAM margins surpassed HBM -- and Q1 2026 is on track to set all-time highs.

An anonymous reader shares a report: KPMG, one of the world's largest auditors of public and private companies, negotiated lower fees from its own accountant by arguing that AI will make it cheaper to do the work, according to people familiar with the matter. The Big Four firm told its auditor, Grant Thornton UK, it should pass on cost savings from the rollout of AI and threatened to find a new accountant if it did not agree to a significant fee reduction, the people said.

The discussions last year came amid an industry-wide debate about the impact of new technology on audit firms' business and traditional pricing models. Firms have invested heavily in AI to speed up the planning of audits and automate routine tasks, but it is not yet clear if this will generate savings that are passed on to clients.

Grant Thornton is auditor to KPMG International, the UK-based umbrella organisation that co-ordinates the work of KPMG's independent, locally owned partnerships around the world. Talks with Grant Thornton were led by Michaela Peisger, a longtime audit partner and executive from KPMG's German member firm, who became KPMG International's chief financial officer at the beginning of 2025.

Elon Musk told podcast host Dwarkesh Patel and Stripe co-founder John Collison that space will become the most economically compelling location for AI data centers in less than 36 months, a prediction rooted not in some exotic technical breakthrough but in the basic math of electricity supply: chip output is growing exponentially, and electrical output outside China is essentially flat.

Solar panels in orbit generate roughly five times the power they do on the ground because there is no day-night cycle, no cloud cover, no atmospheric loss, and no atmosphere-related energy reduction. The system economics are even more favorable because space-based operations eliminate the need for batteries entirely, making the effective cost roughly 10 times cheaper than terrestrial solar, Musk said. The terrestrial bottleneck is already real.

Musk said powering 330,000 Nvidia GB300 chips -- once you account for networking hardware, storage, peak cooling on the hottest day of the year, and reserve margin for generator servicing -- requires roughly a gigawatt at the generation level. Gas turbines are sold out through 2030, and the limiting factor is the casting of turbine vanes and blades, a process handled by just three companies worldwide.

Five years from now, Musk predicted, SpaceX will launch and operate more AI compute annually than the cumulative total on Earth, expecting at least a few hundred gigawatts per year in space. Patel estimated that 100 gigawatts alone would require on the order of 10,000 Starship launches per year, a figure Musk affirmed. SpaceX is gearing up for 10,000 launches a year, Musk said, and possibly 20,000 to 30,000.

Small modular nuclear reactors (or SMRs) are touted as "cheaper, safer, faster to build and easier to finance" than conventional nuclear reactors, reports CNN. Amazon has invested in X-Energy, and earlier this month, Meta announced a deal with Oklo, and in Michigan last month, Holtec began the long formal licensing process for two SMRs with America's Nuclear Regulatory Commission next to a nuclear plant it hopes to reactive. (And in 2024, California-based Kairos Power broke ground in Tennessee on a SMR "demo" reactor.)

But "The reality, as ever, is likely to be messier and experts are sounding notes of caution..." All the arguments in favor of SMRs overlook a fundamental issue, said Edwin Lyman, director of nuclear power safety at the Union of Concerned Scientists: They are too expensive. Despite all the money swilling around the sector, "it's still not enough," he told CNN. Nuclear power cannot compete on cost with alternatives, both fossil fuels and increasingly renewable energy, he said."

Some SMRs also have an issue with fuel. The more unconventional designs, those cooled by salt or gas, often require a special type of fuel called high-assay low-enriched uranium, known as HALEU (pronounced hay-loo). The amounts available are limited and the supply chain has been dominated by Russia, despite efforts to build up a domestic supply. It's a major risk, said Nick Touran [a nuclear engineer and independent consultant]. The biggest challenge nuclear has is competing with natural gas, he said, a "luxury, super expensive fuel may not be the best way." There is still stigma around nuclear waste, too. SMR companies say smaller reactors mean less nuclear waste, but 2022 research from Stanford University suggested some SMRs could actually generate more waste, in part because they are less fuel efficient...

As companies race to prove SMRs can meet the hype, experts appear to be divided in their thinking. For some, SMRs are an expensive — and potentially dangerous — distraction, with timelines that stretch so far into the future they cannot be a genuine answer to soaring needs for clean power right now.
Nuclear engineering/consultant Touran told CNN the small reactors are "a technological solution to a financial problem. No venture capitalists can say, like, 'oh, sure, we'll build a $30 billion plant.' But, if you're down into hundreds of millions, maybe they can do it."

Energy costs will be key to deciding which country wins the AI race, Microsoft CEO Satya Nadella has said. CNBC: As countries race to build AI infrastructure to capitalize on the technology's promise of huge efficiency gains, Nadella told the World Economic Forum (WEF) on Tuesday that "GDP growth in any place will be directly correlated" to the cost of energy in using AI.

He pointed to a new global commodity in "tokens" -- basic units of processing that are bought by users of AI models, allowing them to run tasks. "The job of every economy and every firm in the economy is to translate these tokens into economic growth, then if you have a cheaper commodity, it's better."

"I would say we will quickly lose even the social permission to actually take something like energy, which is a scarce resource, and use it to generate these tokens, if these tokens are not improving health outcomes, education outcomes, public sector efficiency, private sector competitiveness across all sectors," Nadella said.

Last week a University of Arizona astronomy professor "watched anxiously...as an awe-inspiring SpaceX Falcon 9 rocket carried NASA's new exoplanet telescope, Pandora, into orbit."

In 2018 NASA had approached Daniel Apai to help build the telescope, which he says will "shatter a barrier — to understand and remove a source of noise in the data — that limits our ability to study small exoplanets in detail and search for life on them." Astronomers have a trick to study exoplanet atmospheres. By observing the planets as they orbit in front of their host stars, we can study starlight that filters through their atmospheres... But, starting from 2007, astronomers noted that starspots — cooler, active regions on the stars — may disturb the transit measurements. In 2018 and 2019, then-Ph.D. student Benjamin V. Rackham, astrophysicist Mark Giampapa and I published a series of studies showing how darker starspots and brighter, magnetically active stellar regions can seriously mislead exoplanets measurements. We dubbed this problem "the transit light source effect...."

In our papers — published three years before the 2021 launch of the James Webb Space Telescope - we predicted that the Webb cannot reach its full potential. We sounded the alarm bell... Pandora will do what Webb cannot: It will be able to patiently observe stars to understand how their complex atmospheres change.

By staring at a star for 24 hours with visible and infrared cameras, it will measure subtle changes in the star's brightness and colors. When active regions in the star rotate in and out of view, and starspots form, evolve and dissipate, Pandora will record them. While Webb very rarely returns to the same planet in the same instrument configuration and almost never monitors their host stars, Pandora will revisit its target stars 10 times over a year, spending over 200 hours on each of them.
It's the first space telescope "built specifically for detailed multi-color observations of starlight filtered through the atmospheres of exoplanets," reports the Arizona Daily Star, noting the University of Arizona will serve as mission control: [T]echnicians will operate Pandora in real time and monitor its telemetry and overall health under a contract with NASA... The spacecraft will undergo about a month of commissioning before beginning science operations, which are scheduled to last for a year...

Pandora was selected as part of NASA's Astrophysics Pioneers program, which was created in 2020 to foster compelling, relatively low-cost science missions using smaller, cheaper hardware and flight platforms with a price cap of no more than $20 million. By comparison, the Webb telescope — the largest and most powerful astronomical observatory ever sent into space — carries a pricetag of about $10 billion.
Pandora is a joint mission NASA and California's Lawrence Livermore National Laboratory.

As 2026 begins, MIT Technology Review publishes "educated guesses" on emerging technologies that will define the future, advances "we think will drive progress or incite the most change — for better or worse — in the years ahead."

This year's list includes next-gen nuclear, gene-editing drugs (as well as the "resurrection" of ancient genes from extinct creatures), and three AI-related developments: AI companions, AI coding tools, and "mechanistic interpretability" for revealing LLM decision-making.

But also on the list is sodium-ion batteries, "a cheaper, safer alternative to lithium." Backed by major players and public investment, they're poised to power grids and affordable EVs worldwide. [Chinese battery giant CATL claims to have already started manufacturing sodium-ion batteries at scale, and BYD also plans a massive production facility for sodium-ion batteries.] The most significant impact of sodium-Âion technology may be not on our roads but on our power grids. Storing clean energy generated by solar and wind has long been a challenge. Sodium-ion batteries, with their low cost, enhanced thermal stability, and long cycle life, are an attractive alternative. Peak Energy, a startup in the US, is already deploying grid-scale sodium-ion energy storage. Sodium-ion cells' energy density is still lower than that of high-end lithium-ion ones, but it continues to improve each year — and it's already sufficient for small passenger cars and logistics vehicles.
And another "breakthrough technology" on their list is commercial space stations: Vast Space from California, plans to launch its Haven-1 space station in May 2026 on a SpaceX Falcon 9 rocket. If all goes to plan, it will initially support crews of four people staying aboard the bus-size habitat for 10 days. Paying customers will be able to experience life in microgravity and conduct research such as growing plants and testing drugs. On its heels will be Axiom Space's outpost, the Axiom Station, consisting of five modules (or rooms). It's designed to look like a boutique hotel and is expected to launch in 2028. Voyager Space aims to launch its version, called Starlab, the same year, and Blue Origin's Orbital Reef space station plans to follow in 2030.
Thanks to long-time Slashdot reader sandbagger for sharing the article.