Long-time Slashdot reader AmiMoJo shares an article from Renewables Now: Chinese tech company Leapting has successfully completed its first commercial deployment of photovoltaic (PV) modules with an AI-driven solar module mounting robot in Australia. The Chinese company was tasked with supporting the installation of French Neoen's (EPA:NEOEN) 350-MW/440-MWp Culcairn Solar Farm in New South Wales' Riverina region. Shanghai-based Leapting said this week that its intelligent robot has installed almost 10,000 modules at an "efficient, safe, and stable" pace that has "significantly" reduced the original construction timeline.

Litian Intelligent was deployed at the Australian project site in early February. The machine has a 2.5-metre-high robotic arm sitting on a self-guided, self-propelled crawler. Equipped with a navigation system, and visual recognition technology, it can lift and mount PV panels weighing up to 30 kilograms. By replacing labour-intensive manual operations, the robot shortens the module installation cycle by 25%, while the installation efficiency increases three to five times as compared to manual labour and is easily adapted to complex environments, Leapting says.
Or, as Clean Technica puts it, "Meet the robot replacing four workers at a time on solar projects." This is part of a broader industrial trend. In the United States, Rosendin Electric demonstrated its own semi-autonomous system in Texas that allowed a two-person team to install 350 to 400 modules per day, a clear step-change from traditional methods. AES Corporation has been developing a robot called Maximo that combines placement and fastening with computer vision. Trina Solar's Trinabot in China operates in a similar space, with prototype systems demonstrating 50-plus modules per hour... In an industry where time-to-energy is critical, shaving weeks off the construction schedule directly reduces costs and increases net revenue...

[T]he direction is clear. The future of solar construction will be faster, safer, and more precise — not because of human brawn, but because of robotic repetition. There will still be humans on-site, but their role shifts from lifting panels to managing throughput. Just as cranes and excavators changed civil construction, so too will robots like Leapting's define the next era of solar deployment.

An anonymous reader quotes a report from the New York Times: Google plans to roll out its Gemini artificial intelligence chatbot next week for children under 13 (source paywalled; alternative source) who have parent-managed Google accounts, as tech companies vie to attract young users with A.I. products. "Gemini Apps will soon be available for your child," the company said in an email this week to the parent of an 8-year-old. "That means your child will be able to use Gemini" to ask questions, get homework help and make up stories. The chatbot will be available to children whose parents useFamily Link, a Google service that enables families to set up Gmail and opt into services like YouTube for their child. To sign up for a child account, parents provide the tech company with personal data like their child's name and birth date. Gemini has specific guardrails for younger users to hinder the chatbot from producing certain unsafe content, said Karl Ryan, a Google spokesman. When a child with a Family Link account uses Gemini, he added, the company will not use that data to train its A.I.

Introducing Gemini for children could accelerate the use of chatbots among a vulnerable population as schools, colleges, companies and others grapple with the effects of popular generative A.I. technologies. Trained on huge amounts of data, these systems can produce humanlike text and realistic-looking images and videos. [...] Google acknowledged some risks in its email to families this week, alerting parents that "Gemini can make mistakes" and suggesting they "help your child think critically" about the chatbot. The email also recommended parents teach their child how to fact-check Gemini's answers. And the company suggested parents remind their child that "Gemini isn't human" and "not to enter sensitive or personal info in Gemini." Despite the company's efforts to filter inappropriate material, the email added, children "may encounter content you don't want them to see."

A 25-year-old from Santa Clarita has pleaded guilty to hacking a Disney employee's computer using malware disguised as an AI art tool, stealing over 1 terabyte of confidential Disney data and threatening to leak it under the guise of a fake Russian hacktivist group. Variety reports: Santa Clarita resident Ryan Mitchell Kramer, 25, pleaded guilty to two felony charges, including one count of accessing a computer and obtaining information and one count of threatening to damage a protected computer. Each charge carries a maximum sentence of five years in federal prison. According to the plea agreement, in early 2024 Kramer posted a computer program on various online platforms that appeared to be used to create AI-generated art, when it really contained a malicious file to gain access to victims' computers.

Between April and May 2024, a Disney employee downloaded the program, and Kramer gained access to the victim's personal and work accounts, including a non-public Disney Slack channel. Kramer dowloaded approximately 1.1 terabytes of confidential data from thousands of Disney Slack channels. In July, Kramer contacted the victim by pretending to be a member of a fake Russian hacktivist group called "Nullbulge" and threatened to leak their personal information and Disney Slack data. On July 12, Kramer publicly released the data, including the victim's bank, medical, and personal information on multiple online platforms.

Uber is partnering with Chinese autonomous driving startup Momenta to launch robotaxi services outside the U.S. and China, starting in Europe in early 2026 with safety operators onboard. CNBC reports: Uber said the goal is to combine its global ridesharing network with Momenta's technology to deliver safe and efficient robotaxi services. "This collaboration brings together Uber's global ridesharing expertise and Momenta's AI-first autonomous driving technology, paving the way for a future where more riders around the world experience the benefits of reliable and affordable autonomous mobility," Uber CEO Dara Khosrowshahi said in the press release. Momenta CEO Xudong Cao said the arrangement "completes the key ecosystem needed to scale autonomous driving globally."

Momenta, based in Beijing, is a leading autonomous driving company known for its "two-leg" product strategy. It offers both Mpilot, a mass-production-ready assisted driving system, and MSD (Momenta Self-Driving), aimed at full autonomy. The company has years of experience operating autonomous vehicles in cities across China and has partnerships with large equipment manufacturers.

An anonymous reader shares a report: In the nearly two months since former Google chief executive Eric Schmidt acquired Relativity Space, the billionaire has not said much publicly about his plans for the launch company. However, his intentions for Relativity now appear to be increasingly clear: He wants to have the capability to launch a significant amount of computing infrastructure into space.

We know this because Schmidt appeared before the House Committee on Energy and Commerce during a hearing in April, speaking on the future of AI and US competitiveness. Among the topics raised then was the need for more electricity -- both renewable and non-renewable -- to power data centers that will facilitate the computing needs for AI development and applications. Schmidt noted that an average nuclear power plant in the United States generates 1 gigawatt of power.

"People are planning 10 gigawatt data centers," Schmidt said. "Gives you a sense of how big this crisis is. Many people think that the energy demand for our industry will go from 3 percent to 99 percent of total generation. One of the estimates that I think is most likely is that data centers will require an additional 29 gigawatts of power by 2027, and 67 more gigawatts by 2030. These things are industrial at a scale that I have never seen in my life."

An anonymous reader shares a report: Apple is teaming up with startup Anthropic on a new "vibe-coding" software platform that will use AI to write, edit and test code on behalf of programmers.

The system is a new version of Xcode, Apple's programming software, that will integrate Anthropic's Claude Sonnet model, according to people with knowledge of the matter. Apple will roll out the software internally and hasn't yet decided whether to launch it publicly, said the people, who asked not to be identified because the initiative hasn't been announced.

The work shows how Apple is using AI to improve its internal workflow, aiming to speed up and modernize product development. The approach is similar to one used by companies such as Windsurf and Cursor maker Anysphere, which offer advanced AI coding assistants popular with software developers. Further reading: 'Vibe Coding' is Letting 10 Engineers Do the Work of a Team of 50 To 100, Says YC CEO.

A "small percentage" of Google's users in the US will begin seeing an AI Mode tab in Google Search "in the coming weeks," the company said Thursday, marking the tool's first deployment outside the company's experimental Labs environment.

Unlike traditional search results that display URLs based on user queries, AI Mode generates conversational responses from Google's search index. The feature will appear as a dedicated tab positioned before the standard "All," "Images," and other search filters. The deployment represents Google's direct challenge to LLM-powered search engines like Perplexity and ChatGPT.

AI Mode differs from existing AI Overviews in Google Search, which merely insert AI summaries between the search box and web results.

Amazon CEO Andy Jassy has this week sounded the alarm on AI adoption speeds. Though self-described as an AI optimist, Jassy cautioned that this technological shift "may be quicker than other technology transitions in the past."

Jassy pointed directly to declining education quality as "one of the biggest problems" facing AI implementation, not the technology itself. He questioned whether schools are adequately preparing students for future tool use, including coding applications.

Nvidia publicly criticized AI startup Anthropic on Thursday over claims about Chinese smuggling tactics, just days before the Biden-era "AI Diffusion Rule" takes effect on May 15. The confrontation highlights growing tensions between AI hardware providers and model developers over export controls.

"American firms should focus on innovation and rise to the challenge, rather than tell tall tales that large, heavy, and sensitive electronics are somehow smuggled in 'baby bumps' or 'alongside live lobsters,'" an Nvidia spokesperson said, responding to Anthropic's Wednesday blog post.

The Amazon and Google-backed AI startup had called for tighter restrictions and enforcement, arguing that "maintaining America's compute advantage through export controls is essential for national security." Anthropic specifically proposed lowering export thresholds for Tier 2 countries to prevent China from gaining ground in AI development.

Nvidia countered that policy shouldn't be used to limit competitiveness: "China, with half of the world's AI researchers, has highly capable AI experts at every layer of the AI stack. America cannot manipulate regulators to capture victory in AI."

Meta has eliminated key privacy protections for Ray-Ban Meta smart glasses users in a policy update that took effect April 29th. The company now permanently enables Meta AI with camera functionality unless "Hey Meta" voice commands are completely disabled, while simultaneously removing users' ability to opt out of having their voice recordings stored in the cloud.

These recordings are kept for up to a year for Meta's product development, with the company only deleting accidental voice interactions after 90 days. Users can manually delete individual recordings but cannot prevent the initial collection.

An anonymous reader shares a report: A new paper from AI lab Cohere, Stanford, MIT, and Ai2 accuses LM Arena, the organization behind the popular crowdsourced AI benchmark Chatbot Arena, of helping a select group of AI companies achieve better leaderboard scores at the expense of rivals.

According to the authors, LM Arena allowed some industry-leading AI companies like Meta, OpenAI, Google, and Amazon to privately test several variants of AI models, then not publish the scores of the lowest performers. This made it easier for these companies to achieve a top spot on the platform's leaderboard, though the opportunity was not afforded to every firm, the authors say.

"Only a handful of [companies] were told that this private testing was available, and the amount of private testing that some [companies] received is just so much more than others," said Cohere's VP of AI research and co-author of the study, Sara Hooker, in an interview with TechCrunch. "This is gamification." Further reading: Meta Got Caught Gaming AI Benchmarks.

Just a day after announcing its shift to an "AI-first" strategy -- which includes phasing out contract workers in favor of automation -- Duolingo revealed it is more than doubling its course offerings by launching 148 new language courses. The Verge reports: The company said today that it's launching 148 new language courses. "This launch makes Duolingo's seven most popular non-English languages -- Spanish, French, German, Italian, Japanese, Korean, and Mandarin -- available to all 28 supported user interface (UI) languages, dramatically expanding learning options for over a billion potential learners worldwide," the company writes.

Duolingo says that building one new course historically has taken "years," but the company was able to build this new suite of courses more quickly "through advances in generative AI, shared content systems, and internal tooling." The new approach is internally called "shared content," and the company says it allows employees to make a base course and quickly customize it for "dozens" of different languages. "Now, by using generative AI to create and validate content, we're able to focus our expertise where it's most impactful, ensuring every course meets Duolingo's rigorous quality standards," Duolingo's senior director of learning design, Jessie Becker, says in a statement.

After 10 consecutive quarters of rising AI-related investment, Microsoft has put on the brakes, spending over $1 billion less than the previous quarter (source paywalled; alternative source). Despite the slight slowdown, Microsoft posted stronger-than-expected results with $70 billion in revenue and $25.8 billion in profit. The New York Times reports: In the first three months of 2025, Microsoft spent $21.4 billion on capital expenses, down more than $1 billion from the previous quarter. The company is still on track to spend more than $80 billion on capital expenses in the current fiscal year, which ends in June. But the pullback, though slight, is an indication that the tech industry's appetite for spending on A.I. is not limitless.

Overall, Microsoft's results showed unexpected strength in its business. Sales surpassed $70 billion, up 13 percent from the same period a year earlier. Profit rose to $25.8 billion, up 18 percent. The results far surpassed Wall Street's expectations. "Cloud and A.I. are the essential inputs for every business to expand output, reduce costs, and accelerate growth," Satya Nadella, Microsoft's chief executive, said in a statement.

Google is investing in training over 100,000 new U.S. electricians through a $10 million grant, aiming to address a critical labor shortage driven by AI-fueled data center growth and rising electricity demands. Reuters reports: A lack of access to power supplies has become the biggest problem for giant technology companies racing to develop artificial intelligence in energy-intensive data centers, which are driving up U.S. electricity demand after nearly 20 years of stagnation. The situation has led President Donald Trump to declare a national energy emergency aimed at speeding up permitting for generation and transmission projects.

Google's funding, which includes a $10 million grant for electrical worker nonprofits, is the latest in a series of recent moves by giant technology companies to alleviate power project backlogs and electricity shortfalls across the United States. [...] The Google grant will be used for electrician apprenticeship programs and the training of existing workforce through organizations, including the Electrical Training Alliance, International Brotherhood of Electrical Workers and the National Electrical Contractors Association. It could increase the pipeline of electrical workers by 70% by the end of the decade, the company said. "This initiative with Google and our partners at NECA and the Electrical Training Alliance will bring more than 100,000 sorely needed electricians into the trade to meet the demands of an AI-driven surge in data centers and power generation," said Kenneth Cooper, international president of the IBEW labor union.

Microsoft CEO Satya Nadella said that 20%-30% of code inside the company's repositories was "written by software" -- meaning AI -- during a fireside chat with Meta CEO Mark Zuckerberg at Meta's LlamaCon conference on Tuesday. From a report: Nadella gave the figure after Zuckerberg asked roughly how much of Microsoft's code is AI-generated today. The Microsoft CEO said the company was seeing mixed results in AI-generated code across different languages, with more progress in Python and less in C++.

Wikipedia will employ AI to enhance the work of its editors and volunteers, it said Wednesday, also asserting that it has no plans to replace those human roles. The Wikimedia Foundation plans to implement AI specifically for automating tedious tasks, improving information discovery, facilitating translations, and supporting new volunteer onboarding, it said.

An anonymous reader quotes a report from The Register: Instead of depressing wages or taking jobs, generative AI chatbots like ChatGPT, Claude, and Gemini have had almost no wage or labor impact so far -- a finding that calls into question the huge capital expenditures required to create and run AI models. In a working paper released earlier this month, economists Anders Humlum and Emilie Vestergaard looked at the labor market impact of AI chatbots on 11 occupations, covering 25,000 workers and 7,000 workplaces in Denmark in 2023 and 2024.

Many of these occupations have been described as being vulnerable to AI: accountants, customer support specialists, financial advisors, HR professionals, IT support specialists, journalists, legal professionals, marketing professionals, office clerks, software developers, and teachers. Yet after Humlum, assistant professor of economics at the Booth School of Business, University of Chicago, and Vestergaard, a PhD student at the University of Copenhagen, analyzed the data, they found the labor and wage impact of chatbots to be minimal. "AI chatbots have had no significant impact on earnings or recorded hours in any occupation," the authors state in their paper.

The report should concern the tech industry, which has hyped AI's economic potential while plowing billions into infrastructure meant to support it. Early this year, OpenAI admitted that it loses money per query even on its most expensive enterprise SKU, while companies like Microsoft and Amazon are starting to pull back on their AI infrastructure spending in light of low business adoption past a few pilots. The problem isn't that workers are avoiding generative AI chatbots -- quite the contrary. But they simply aren't yet equating to actual economic benefits. "The adoption of these chatbots has been remarkably fast," Humlum told The Register. "Most workers in the exposed occupations have now adopted these chatbots. Employers are also shifting gears and actively encouraging it. But then when we look at the economic outcomes, it really has not moved the needle."

Humlum said while there are gains and time savings to be had, "there's definitely a question of who they really accrue to. And some of it could be the firms -- we cannot directly look at firm profitability. Some of it could also just be that you save some time on existing tasks, but you're not really able to expand your output and therefore earn more. So it's like it saves you time writing emails. But if you cannot really take on more work or do something else that is really valuable, then that will put a damper on how much we should actually expect those time savings to affect your earning ability, your total hours, your wages."

"In terms of economic outcomes, when we're looking at hard metrics -- in the administrative labor market data on earnings, wages -- these tools have really not made a difference so far," said Humlum. "So I think that that puts in some sense an upper bound on what return we should expect from these tools, at least in the short run. My general conclusion is that any story that you want to tell about these tools being very transformative, needs to contend with the fact that at least two years after [the introduction of AI chatbots], they've not made a difference for economic outcomes."

Google Play's app marketplace has seen a dramatic 47% drop in available apps -- from 3.4 million to 1.8 million -- since the start of 2024. An analysis by app intelligence provider Appfigures attributes the decline to stricter quality standards, expanded human reviews, and increased enforcement against low-quality and deceptive apps. TechCrunch reports: In July 2024, Google announced it would raise the minimum quality requirements for apps, which may have impacted the number of available Play Store app listings.

Instead of only banning broken apps that crashed, wouldn't install, or run properly, the company said it would begin banning apps that demonstrated "limited functionality and content." That included static apps without app-specific features, such as text-only apps or PDF file apps. It also included apps that provided little content, like those that only offered a single wallpaper. Additionally, Google banned apps that were designed to do nothing or have no function, which may have been tests or other abandoned developer efforts.

Reached for comment, Google confirmed that its new policies were factors here, which also included an expanded set of verification requirements, required app testing for new personal developer accounts, and expanded human reviews to check for apps that try to deceive or defraud users. In addition, the company pointed to other 2024 investments in AI for threat detection, stronger privacy policies, improved developer tools, and more. As a result, Google prevented 2.36 million policy-violating apps from being published on its Play Store and banned more than 158,000 developer accounts that had attempted to publish harmful apps, it said. TechCrunch also notes that a new trader status rule, which went into effect in the EU this February, could be another contributing factor. It requires developers to display their names and addresses in their app listings, and failure to comply would see their apps removed from EU app stores.

In a blog post yesterday, Master I-ranked human GeoGuessr player Sam Patterson said that OpenAI's o3 model outscored him in a head-to-head match, "correctly identifying all five countries and twice landing within a few hundred meters." Geoguessing is a game -- most popularly known through the platform GeoGuessr -- where players are dropped into a random location in Google Street View and must figure out where in the world they are using only visual clues from the environment. With the release of its newest AI models, o3 and o4-mini, OpenAI now does a surprisingly good job of analyzing uploaded images to determine their locations using nothing but subtle visual clues.

"Even when I embedded fake GPS coordinates in the image EXIF, the model ignored the spoof and still pinpointed the real locations, showing its performance comes from visual reasoning and on-the-fly web sleuthing -- not hidden metadata," says Patterson. From the post: I notice that it often does a lot of unnecessary and repetitive cropping, and will sometimes spend way too much time on something unimportant. A human is very good at knowing what matters, and o3 is less knowledgeable about what things it should focus on. It got distracted by advertising multiple times. However, most of what it says about things like signs and road lines appears to be accurate, or at least close enough to truth that they meaningfully add up. Given the end result of these excellent guesses, it seems to arrive at the guesses from that information.

If it's using other information to arrive at the guess, then it's not metadata from the files, but instead web search. It seems likely that in the Austria round, the web search was meaningful, since it mentioned the website named the town itself. It appeared less meaningful in the Ireland round. It was still very capable in the rounds without search.

So to put a bow on this:
- The o3 model isn't smoke and mirrors, tricking us by only using EXIF data. It's at a comparable Geoguessr skill level to Master I or better players now (at least according to my own ~20 or so rounds of testing).
- Humans still hold a big edge in decision time -- most of my guesses were 4 min.
- Spoofing EXIF data doesn't throw off the model.

Whether you view this as dystopian or as a technological marvel -- or both -- you can't claim it's a parlor trick.

Mastercard is working with Microsoft and other leading AI companies to give AI agents the ability to shop online and make payments on behalf of consumers. From a report: Under the new program, a shopper could prompt an AI agent -- Microsoft's Copilot, for example -- to search for a pair of yellow running shoes in a particular size.

The agent would then search and offer the customer options, and then be able to make the purchase while also recommending the best way to pay, Mastercard said in a statement Tuesday.