Microsoft plans to invest $10 billion in Japan from 2026 to 2029 to expand AI infrastructure, boost local cloud capacity, train 1 million engineers and developers, and deepen cybersecurity cooperation with the Japanese government. Reuters reports: The investment includes the training of 1 million engineers and developers by 2030, Microsoft said, which was unveiled during a visit to Tokyo by Vice Chair and President Brad Smith. In a statement, the company said the plan aligns with Prime Minister Sanae Takaichi's goal to boost growth through advanced, strategic technologies while safeguarding national security.

Microsoft will work with domestic firms including SoftBank and Sakura Internet to expand Japan-based AI computing capacity, allowing Ecompanies and government agencies to keep sensitive data within the country while accessing Microsoft Azure services, it said. It will also deepen cooperation with Japanese authorities on sharing intelligence related to cyber threats and crime prevention.

Tony Isaac shares a report from NPR: When it comes to using AI, it seems some lawyers just can't help themselves. Last year saw a rapid increase in court sanctions against attorneys for filing briefs containing errors generated by artificial intelligence tools. The most prominent case was that of the lawyers for MyPillow CEO Mike Lindell, who were fined $3,000 each for filing briefs containing fictitious, AI-generated citations. But as a cautionary tale, it doesn't seem to have had much effect. The numbers started taking off last year, and the rate is still increasing. He counts a total of more than 1,200 to date, of which about 800 are from U.S. courts. "I am surprised that people are still doing this when it's been in the news," says Carla Wale, associate dean of information & technology and director of the law library at the University of Washington School of Law. "Whatever the generative AI tool gives you -- as in, 'Look at these cases' -- you, under the rules of professional conduct, you have to read those cases. You have to read the cases to make sure what you are citing is accurate."

"I think that lawyers who understand how to effectively and ethically use generative AI replace lawyers who don't," she says. "That's what I think the future is."

Despite hundreds of billions of dollars in investment, nearly half of planned U.S. data center projects are being delayed or canceled. "One major reason behind these setbacks is the availability of key electrical components -- such as transformers, switchgear, and batteries -- that are used both at data center sites and outside of them," reports Tom's Hardware. "Meanwhile, grid infrastructure is also stressed by electric vehicles and electrified heating systems." Tom's Hardware reports: Approximately 12 gigawatts (12 GW) of data center capacity is expected to come online in the U.S. in 2026, according to data by market intelligence firm Sightline Climate cited by Bloomberg. Yet only about one-third of that capacity is currently under active construction because of various constraints.

Electrical infrastructure represents less than 10% of total data center cost, but it is as vital as compute hardware. A delay in any single element of the power chain can halt the entire project, which makes transformers, switchgear, and similar devices critical items despite their relatively small share of CapEx. Due to high demand, lead times for high-power transformers have expanded dramatically in the U.S.: delivery typically took 24 to 30 months before 2020, but waiting periods can stretch to as long as five years today, according to Sightline Climate cited by Bloomberg. For AI data centers, this is a catastrophe as their deployment cycles are under 18 months.

To address shortages, companies are turning to global markets. As a result, Canada, Mexico, and South Korea became the biggest suppliers of high-power transformers for AI data centers to AI data centers. At the same time, imports of high-power transformers from China surged from fewer than 1,500 units in 2022 to more than 8,000 units in 2025 through October, according to Wood Mackenzie data cited by Bloomberg. The volatility of exports from China does not end with transformers, as the PRC accounts for over 40% of U.S. battery imports, while its share in certain transformer and switchgear categories remains near 30%, according to Bloomberg.

An anonymous reader quotes a report from Ars Technica: Perplexity's AI search engine encourages users to go deeper with their prompts by engaging in chat sessions that a lawsuit has alleged are often shared in their entirety with Google and Meta without users' knowledge or consent. "This happened to every user regardless of whether or not they signed up for a Perplexity account," the lawsuit alleged, while stressing that "enormous volumes of sensitive information from both subscribed and non-subscribed users" are shared.

Using developer tools, the lawsuit found that opening prompts are always shared, as are any follow-up questions the search engine asks that a user clicks on. Privacy concerns are seemingly worse for non-subscribed users, the complaint alleged. Their initial prompts are shared with "a URL through which the entire conversation may be accessed by third parties like Meta and Google." Disturbingly, the lawsuit alleged, chats are also shared with personally identifiable information (PII), even when users who want to stay anonymous opt to use Perplexity's "Incognito Mode." That mode, the lawsuit charged, is a "sham."

"'Incognito' mode does nothing to protect users from having their conversations shared with Meta and Google," the complaint said. "Even paid users who turned on the 'Incognito' feature still had their conversations shared with Meta and Google, along with their email addresses and other identifiers that allowed Meta and Google to personally identify them." "Perplexity's failure to inform its users that their personal information has been disclosed to Meta and Google or to take any steps to halt the continued disclosure of users' information is malicious, oppressive, and in reckless disregard" of users' rights, the lawsuit alleged.

"Nothing on Perplexity's website warns users that their conversations with its AI Machine will be shared with Meta and Google," Doe alleged. "Much less does Perplexity warn subscribed users that its 'Incognito Mode' does not function to protect users' private conversations from disclosure to companies like Meta and Google."

OpenAI is acquiring tech news podcast TBPN, a fast-growing daily show hosted by John Coogan and Jordi Hays. OpenAI says TBPN will keep its editorial independence, even though the acquisition is widely viewed as part of a broader effort to influence public discourse around AI. CNBC reports: In the announcement, OpenAI CEO of AGI Deployment Fidji Simo wrote that their mission of bringing artificial general intelligence comes with a responsibility to have a space for "constructive conversation about the changes AI creates." Altman has appeared on TBPN multiple times and is a frequent presence across media and podcasts, even hitting NBC's "Tonight Show Starring Jimmy Fallon" in December.

The announcement says TBPN will maintain editorial independence and continue to choose its own guests. "TBPN is my favorite tech show. We want them to keep that going and for them to do what they do so well," Altman wrote in a post on X. "I don't expect them to go any easier on us, am sure I'll do my part to help enable that with occasional stupid decisions." OpenAI did not disclose the terms of the deal but said TBPN will be housed within its strategy organization. "While we've been critical of the industry at times, after getting to know Sam and the OpenAI team, what stood out most was their openness to feedback and commitment to getting this right," wrote Hays in a statement. "Moving from commentary to real impact in how this technology is distributed and understood globally is incredibly important to us."

An anonymous reader quotes a report from Ars Technica: Google's Gemini AI models have improved by leaps and bounds over the past year, but you can only use Gemini on Google's terms. The company's Gemma open-weight models have provided more freedom, but Gemma 3, which launched over a year ago, is getting a bit long in the tooth. Starting today, developers can start working with Gemma 4, which comes in four sizes optimized for local usage. Google has also acknowledged developer frustrations with AI licensing, so it's dumping the custom Gemma license.

Like past versions of its open-weight models, Google has designed Gemma 4 to be usable on local machines. That can mean plenty of things, of course. The two large Gemma variants, 26B Mixture of Experts and 31B Dense, are designed to run unquantized in bfloat16 format on a single 80GB Nvidia H100 GPU. Granted, that's a $20,000 AI accelerator, but it's still local hardware. If quantized to run at lower precision, these big models will fit on consumer GPUs. Google also claims it has focused on reducing latency to really take advantage of Gemma's local processing. The 26B Mixture of Experts model activates only 3.8 billion of its 26 billion parameters in inference mode, giving it much higher tokens-per-second than similarly sized models. Meanwhile, 31B Dense is more about quality than speed, but Google expects developers to fine-tune it for specific uses.

The other two Gemma 4 models, Effective 2B (E2B) and Effective 4B (E4B), are aimed at mobile devices. These options were designed to maintain low memory usage during inference, running at an effective 2 billion or 4 billion parameters. Google says the Pixel team worked closely with Qualcomm and MediaTek to optimize these models for devices like smartphones, Raspberry Pi, and Jetson Nano. Not only do they use less memory and battery than Gemma 3, but Google also touts "near-zero latency" this time around. The Apache 2.0 license is much more flexible with its terms of use for commercial restrictions, "granting you complete control over your data, infrastructure, and models," says Google.

Clement Delangue, co-founder and CEO of Hugging Face, called it "a huge milestone" that will help developers use Gemma for more projects and expand what Google calls the "Gemmaverse."

An anonymous reader quotes a report from Gizmodo: OpenAI hasn't been shy about spending money lobbying for favorable laws and regulations. But when it comes to its involvement with child safety advocacy groups, the company has apparently decided it's best to stay in the shadows -- even if it means hiding from the people actually pushing for policy changes. According to a report from the San Francisco Standard, a number of people involved in the California-based Parents and Kids Safe AI Coalition were blindsided to learn their efforts were secretly being funded by OpenAI. Per the Standard, the Parents and Kids Safe AI Coalition was a group formed to push the Parents and Kids Safe AI Act, a piece of California legislation proposed earlier this year that would require AI firms to implement age verification and additional safeguards for users under the age of 18. That bill was backed by OpenAI in partnership with Common Sense Media, which proposed the legislation as a compromise after the two groups had pushed dueling ballot initiatives last year.

But when the coalition started to reach out to child safety groups and other advocacy organizations to try to get them to lend support to the bill, OpenAI was apparently conveniently left off the messaging. The AI giant was also left out of the marketing on the coalition's website, according to the Standard. That reportedly led to a number of groups and individuals lending their support to the Parents and Kids Safe AI Coalition without realizing that they were aligning themselves with OpenAI. As it turns out, OpenAI isn't just one of the members of the coalition; it is the group's biggest funder. In fact, the Standard characterized the Parents and Kids Safe AI Coalition as being "entirely funded" by OpenAI. While it's not clear exactly how much the company has funneled to this particular group, a Wall Street Journal report from January said OpenAI pledged $10 million to push the Parents and Kids Safe AI Act. Gizmodo notes that OpenAI's backing of the Parents and Kids Safe AI Act "could be self-serving for CEO Sam Altman," who just so happens to head a company called World that provides age verification services.

ZipNada writes: Two software researchers recently demonstrated how modern AI tools can reproduce entire open-source projects, creating proprietary versions that appear both functional and legally distinct. The partly-satirical demonstration shows how quickly artificial intelligence can blur long-standing boundaries between coding innovation, copyright law, and the open-source principles that underpin much of the modern internet.

In their presentation, Dylan Ayrey, founder of Truffle Security, and Mike Nolan, a software architect with the UN Development Program, introduced a tool they call malus.sh. For a small fee, the service can "recreate any open-source project," generating what its website describes as "legally distinct code with corporate-friendly licensing. No attribution. No copyleft. No problems." It's a test case in how intellectual property law -- still rooted in 19th-century precedent -- collides with 21st-century automation. Since the US Supreme Court's Baker v. Selden ruling, copyright has been understood to guard expression, not ideas.

That boundary gave rise to clean-room design, a method by which engineers reverse-engineer systems without accessing the original source code. Phoenix Technologies famously used the technique to build its version of the PC BIOS during the 1980s. Ayrey and Nolan's experiment shows how AI can perform a clean-room process in minutes rather than months. But faster doesn't necessarily mean fair. Traditional clean-room efforts required human teams to document and replicate functionality -- a process that demanded both legal oversight and significant labor. By contrast, an AI-mediated "clean room" can be invoked through a few prompts, raising questions about whether such replication still counts as fair use or independent creation.

In classic Cloudflare fashion, the CDN provider used April Fool's Day to unveil an actual, "not a joke" product. Today, the company announced EmDash -- an open-source "spiritual successor" to WordPress that aims to solve plugin security. Phoronix reports: With the help of AI coding agents, Cloudflare engineers have been rebuilding the WordPress open-source project "from the ground up." EmDash is written entirely in TypeScript and is a server-less design. Making plug-ins more secure than the WordPress architecture, EmDash plug-ins are sandboxed and run in their own isolate. EmDash builds upon the Astro web framework. EmDash doesn't rely on any WordPress code but is designed to be compatible with WordPress functionality. EmDash is open-source now under the MIT license. The EmDash code is available on GitHub.

Anthropic is using copyright takedown notices to try to contain an accidental leak of the underlying instructions for its Claude Code AI agent. According to the Wall Street Journal, "Anthropic representatives had used a copyright takedown request to force the removal of more than 8,000 copies and adaptations of the raw Claude Code instructions ... that developers had shared on programming platform GitHub." From the report: Programmers combing through the source code so far have marveled on social media at some of Anthropic's tricks for getting its Claude AI models to operate as Claude Code. One feature asks the models to go back periodically through tasks and consolidate their memories -- a process it calls dreaming. Another appears to instruct Claude Code in some cases to go "undercover" and not reveal that it is an AI when publishing code to platforms like GitHub. Others found tags in the code that appeared pointed at future product releases. The code even included a Tamagotchi-style pet called "Buddy" that users could interact with.

After Anthropic requested that GitHub remove copies of its proprietary code, another programmer used other AI tools to rewrite the Claude Code functionality in other programming languages. Writing on GitHub, the programmer said the effort was aimed at keeping the information available without risking a takedown. That new version has itself become popular on the programming platform.

Mitchell H. Katz, MD, president and CEO of NYC Health + Hospitals, said hospitals could already replace many radiologists with AI for some imaging tasks -- if regulators allowed it. He argued the technology presents an opportunity to simultaneously cut costs and expand access. Radiology Business reports: Katz -- who has led the 11-hospital organization since 2018 -- said he sees great potential for AI to increase access to breast cancer screening. Hospitals could potentially produce "major savings" by letting the technology handle first reads, with radiologists then double-checking any abnormal screenings. Fellow panelist David Lubarsky, MD, MBA, president and CEO of the Westchester Medical Center Health Network, said his system is already seeing great success in deploying such technology. The AI Westchester uses misses very few breast cancers and is "actually better than human beings," he told the audience. "For women who aren't considered high risk, if the test comes back negative, it's wrong only about 3 times out of 10,000," Lubarsky said.

Katz asked fellow hospital CEOs if there is any reason why they shouldn't be pushing for changes to New York state regulations, allowing AI to read images "without a radiologist," Crain's reported. In this scenario, rads could then provide second opinions, if AI flags any images as abnormal. Sandra Scott, MD, CEO of the One Brooklyn Health, a small hospital facing tight margins, agreed with this line of thinking, according to Crain's. "I mean, I'm in charge of a safety-net institution. It would be a game-changer," Scott said about AI being used to replace rads.

bobthesungeek76036 shares a report from the Register: Oracle laid off thousands of employees on Tuesday as it ramps spending on AI infrastructure projects internally and with major technology partners. The layoffs were carried out via email, according to copies of the message viewed by Business Insider. The email told affected workers they would be terminated immediately and to provide a personal email for follow-up.

The cuts echo a TD Cowen forecast earlier this year, when the investment bank questioned how Oracle would finance its expanding AI datacenter buildout and suggested headcount reductions could reach 20,000 to 30,000. It is not clear how many employees were notified on Tuesday, but one screenshot that purports to show the number of internal Slack users showed a drop of 10,000 overnight.

[...] Oracle employs about 162,000 people, with 58,000 of those in the US and approximately 104,000 internationally. If the rumored cuts of 30,000 are correct, it would amount to 18 percent of the company's workforce. According to posts from Oracle workers on LinkedIn, the cuts were spread through multiple departments around the country, with employees in Kansas, Tennessee, and Texas taking to social media to say they were among those chopped. "This news didn't seem to affect stock price," adds bobthesungeek76036. "ORCL is up 6% for the day."

Grady Martin writes: A security researcher has leaked a complete repository of source code for Anthropic's flagship command-line tool. The file listing was exposed via a Node Package Manager (npm) mapping, with every target publicly accessible on a Cloudflare R2 storage bucket. There's been a number of discoveries as people continue to pore over the code. The DEV Community outlines some of the leak's most notable architectural elements and the key technical choices:

Architecture Highlights
The Tool System (~40 tools): Claude Code uses a plugin-like tool architecture. Each capability (file read, bash execution, web fetch, LSP integration) is a discrete, permission-gated tool. The base tool definition alone is 29,000 lines of TypeScript.
The Query Engine (46K lines): This is the brain of the operation. It handles all LLM API calls, streaming, caching, and orchestration. It's by far the largest single module in the codebase.
Multi-Agent Orchestration: Claude Code can spawn sub-agents (they call them "swarms") to handle complex, parallelizable tasks. Each agent runs in its own context with specific tool permissions.
IDE Bridge System: A bidirectional communication layer connects IDE extensions (VS Code, JetBrains) to the CLI via JWT-authenticated channels. This is how the "Claude in your editor" experience works.
Persistent Memory System: A file-based memory directory where Claude stores context about you, your project, and your preferences across sessions.

Key Technical Decisions Worth Noting
Bun over Node: They chose Bun as the JavaScript runtime, leveraging its dead code elimination for feature flags and its faster startup times.
React for CLI: Using Ink (React for terminals) is bold. It means their terminal UI is component-based with state management, just like a web app.
Zod v4 for validation: Schema validation is everywhere. Every tool input, every API response, every config file.
~50 slash commands: From /commit to /review-pr to memory management -- there's a command system as rich as any IDE.
Lazy-loaded modules: Heavy dependencies like OpenTelemetry and gRPC are lazy-loaded to keep startup fast.

An anonymous reader quotes a report from New Scientist: Andrea Marinoni at the University of Cambridge, UK, and his colleagues saw that the amount of energy needed to run a data centre had been steadily increasing of late and was likely to "explode" in the coming years, so wanted to quantify the impact. The researchers took satellite measurements of land surface temperatures over the past 20 years and cross-referenced them against the geographical coordinates of more than 8400 AI data centers. Recognizing that surface temperature could be affected by other factors, the researchers chose to focus their investigation on data centers located away from densely populated areas.

They discovered that land surface temperatures increased by an average of 2C (3.6F) in the months after an AI data center started operations. In the most extreme cases, the increase in temperature was 9.1C (16.4F). The effect wasn't limited to the immediate surroundings of the data centers: the team found increased temperatures up to 10 kilometers away. Seven kilometers away, there was only a 30 percent reduction in the intensity. "The results we had were quite surprising," says Marinoni. "This could become a huge problem."

Using population data, the researchers estimate that more than 340 million people live within 10 kilometers of data centers, so live in a place that is warmer than it would be if the data centre hadn't been built there. Marinoni says that areas including the Bajio region in Mexico and the Aragon province in Spain saw a 2C (3.6F) temperature increase in the 20 years between 2004 and 2024 that couldn't otherwise be explained. University of Bristol researcher Chris Preist said the findings may be more complicated than they look. "It would be worth doing follow-up research to understand to what extent it's the heat generated from computation versus the heat generated from the building itself," he says. For example, the building being heated by sunlight may be part of the effect.

The findings of the study, which has not yet been peer-reviewed, can be found on arXiv.

fjo3 shares a report from France 24: Too many lines of code to analyze, armies of AI assistants to wrangle, and lengthy prompts to draft are among the laments by hard-core AI adopters. Consultants at Boston Consulting Group (BCG) have dubbed the phenomenon "AI brain fry," a state of mental exhaustion stemming "from the excessive use or supervision of artificial intelligence tools, pushed beyond our cognitive limits."

The rise of AI agents that tend to computer tasks on demand has put users in the position of managing smart, fast digital workers rather than having to grind through jobs themselves. "It's a brand-new kind of cognitive load," said Ben Wigler, co-founder of the start-up LoveMind AI. "You have to really babysit these models." [...] "There is a unique kind of reward hacking that can go on when you have productivity at the scale that encourages even later hours," Wigler said.

[Adam Mackintosh, a programmer for a Canadian company] recalled spending 15 consecutive hours fine-tuning around 25,000 lines of code in an application. "At the end, I felt like I couldn't code anymore," he recalled. "I could tell my dopamine was shot because I was irritable and didn't want to answer basic questions about my day."

BCG recommends in a recently published study that company leaders establish clear limits regarding employee use and supervision of AI. However, "That self-care piece is not really an America workplace value," Wigler said. "So, I am very skeptical as to whether or not its going to be healthy or even high quality in the long term." Notably, the report says everyone interviewed for the article "expressed overall positive views of AI despite the downsides." In fact, a recent BCG study actually found a decline in burnout rates when AI took over repetitive work tasks.

An anonymous reader quotes a report from TorrentFreak: In an effort to gather material for its LLM training, Meta used BitTorrent to download pirated books from Anna's Archive and other shadow libraries. According to several authors, Meta facilitated the infringement of others by "seeding" these torrents. This week, the court granted the authors permission to add these claims to their complaint, despite openly scolding their counsel for "lame excuses" and "Meta bashing." [...] The judge acknowledged that the contributory infringement claim could and should have been added back in November 2024, when the authors amended their complaint to include the distribution claim. After all, both claims arise from the same factual allegations about Meta's torrenting activity.

"The lawyers for the named plaintiffs have no excuse for neglecting to add a contributory infringement claim based on these allegations back in November 2024," Judge Chhabria wrote. The lawyers of the book authors claimed that the delay was the result of newly produced evidence that had "crystallized" their understanding of Meta's uploading activity. However, that did not impress the judge. He called it a "lame excuse" and "a bunch of doubletalk," noting that if the missing discovery truly prevented the contributory claim from being added in November 2024, the same logic would have prevented the distribution claim from being added at that time as well. "Rather than blaming Meta for producing discovery late, the plaintiffs' lawyers should have been candid with the Court, explaining that they missed an issue in a case of first impression..," the order reads.

Judge Chhabria went further, noting that the authors' law firm, Boies Schiller, showed "an ongoing pattern" of distracting from its own mistakes by attacking Meta. He pointed specifically to the dispute over when Meta disclosed its fair use defense to the distribution claim, which we covered here recently, characterizing it as a false distraction. "The lawyers for the plaintiffs seem so intent on bashing Meta that they are unable to exercise proper judgment about how to represent the interests of their clients and the proposed class members," the order reads. Despite the criticism, Chhabria granted the motion. [...] For now, the case moves forward with a fourth amended complaint, three new loan-out companies added as named plaintiffs, and a growing list of BitTorrent-related claims for Judge Chhabria to resolve.

Microsoft Copilot is reportedly injecting promotional "tips" into GitHub pull requests, with Neowin claiming more than 1.5 million PRs have been affected by messages advertising integrations like Raycast, Slack, Teams, and various IDEs. From the report: According to Melbourne-based software developer Zach Manson, a team member used the AI to fix a simple typo in a pull request. Copilot did the job, but it also took the liberty of editing the PR's description to include this message: "Quickly spin up Copilot coding agent tasks from anywhere on your macOS or Windows machine with Raycast." A quick search of that phrase on GitHub shows that the same promotional text appears in over 11,000 pull requests across thousands of repositories. Even merge requests on GitLab aren't safe from the injection.

So what's happening? Well, Raycast has a Copilot extension that can do things like create pull requests from a natural language command. The ad directly names Raycast, so you might think that Raycast is injecting the promo into the PRs to market its own app. But it is more likely that Microsoft is the one doing the injecting. If you look at the raw markdown of the affected pull requests, there is a hidden HTML comment, "START COPILOT CODING AGENT TIPS" placed right just before the ad tip. This suggests Microsoft is using the comment to insert a "tip" that points back to its own developer ecosystem or partner integrations. UPDATE: Following backlash from developers, Microsoft has removed Copilot's ability to insert "tips" into pull requests. Tim Rogers, principal product manager for Copilot at GitHub, said the move was intended "to help developers learn new ways to use the agent in their workflow."

"On reflection," Rogers said he has since realized that letting Copilot make changes to PRs written by a human without their knowledge "was the wrong judgement call."

An anonymous reader quotes a report from the BBC: Sweeping job cuts at Big Tech companies have become an annual tradition. How executives explain those decisions, however, has changed. Out are buzzwords like efficiency, over-hiring, and too many management layers. Today, all explanations stem from artificial intelligence (AI). In recent weeks, giants including Google, Amazon, Meta, as well as smaller firms such as Pinterest and Atlassian, have all announced or warned of plans to shrink their workforce, pointing to developments in AI that they say are allowing their firms to do more with fewer people. [...] But explaining cuts by pointing to advances in AI sounds better than citing cost pressures or a desire to please shareholders, says tech investor Terrence Rohan, who has had a seat on many company boards. "Pointing to AI makes a better blog post," Rohan says. "Or it at least doesn't make you seem as much the bad guy who just wants to cut people for cost-effectiveness."

That does not mean there is no substance behind the words, Rohan added. Some of the companies he's backing are using code that is 25% to 75% AI-generated. That is a sign of the real threat that AI tools for writing code represent to jobs such as software developer, computer engineer and programmer, posts once considered a near-guarantee of highly paid, stable careers. "Some of it is that the narrative is changing, some of it is that we really are starting to see step changes in productivity," Anne Hoecker, a partner at Bain who leads the consultancy's technology practice, says of the recent job cuts. "Leaders more recently are seeing these tools are good enough that you really can do the same amount of work with fundamentally less people."

There is another way that AI is driving job cuts -- and it has nothing to do with the technical abilities of coding tools and chatbots. Amazon, Meta, Google and Microsoft are collectively planning to pour $650 billion into AI in the coming year. As executives hunt for ways to try to ease investor shock at those costs, many are landing on payroll, typically tech firms' single biggest expense. [...] Although the expense of, for example, 30,000 corporate Amazon employees is dwarfed by that company's AI spending plans, firms of this size will now take any opportunity to cut costs, Rohan says. "They're playing a game of inches," Rohan says of cuts at Big Tech firms. "If you can even slightly tune the machine, that is helpful." Hoecker says cutting jobs also signals to stock market investors worried about the "real and huge" cost of AI development that executives are not blithely writing blank cheques. "It shows some discipline," says Hoecker. "Maybe laying off people isn't going to make much of a dent in that bill, but by creating a little bit of cashflow, it helps."

Project Hail Mary has now grossed $300.8 million globally after earning another $54.1 million this weekend from 86 markets, reports Variety, noting that after just nine days it's now Amazon MGM's highest-grossing film ever.

And last weekend it had the best opening for a "non-franchise" movie in three years, adds the Associated Press — the best since 2023's Oppenheimer: Project Hail Mary, which cost nearly $200 million to produce... is on an enviable trajectory. Its second weekend hold was even better than that of Oppenheimer, which collected $46.7 million in its follow-up frame.
But the movie is based on a book by The Martian author Andy Weir, described by one news outlet as "a former software engineer and self-proclaimed 'lifelong space nerd'... known for his realistic and clear-eyed approach to scientifically technical stories." Project Hail Mary has plenty of real science in it, whether it be space mathematics, physics, or astrobiology... The film's namesake project is even comprised of the space programs of other nations, such as Roscosmos from Russia, the Chinese space program, and the European Space Agency...

The story relies on work NASA has done regarding exoplanets, or planets outside our solar system... [This includes a nearby star named Tau Ceti approximately 12 light years from Earth which is orbited by four planets — two once thought to be in "the habitable zone" where liquid water can exist.] Tau Ceti has long been the setting used by sci-fi authors and storytellers. Isaac Asimov used it for his Robot series. Arthur C. Clarke's "Rama" spacecraft came across a mysterious tetrahedron in the Tau Ceti system. Authors Ursula K. Le Guin and Kim Stanley Robinson also set stories in Tau Ceti, and it also serves as the extrasolar setting of the 1968 Jane Fonda film Barbarella. Most recently, the Bungie video game Marathon is set in the far-off system, serving as part of the background story for the extraction shooter, about a large-scale plan to colonize the Tau Ceti system.
The movie also mentions 40 Eridani A, according to the article, a real star about 16 light-years away that was said to be orbited by the fictional planet Vulcan, home to Star Trek's Mr. Spock. It's also mentioned in Frank Herbert's Dune as the star system of the planets Ix and Richese ("noted for their machine culture and miniaturisation," according to the Stellar Australis site's "Project Dune" page).

And in a video on IMAX's YouTube channel, the film's directors explain how for a crucial scene they used non-visible-light photography, which is also an important part of modern astronomy. "Even the credits incorporate real astrophotography into the final moments," the article points out, using the work of award-winning Australian astrophotographer Rod Prazeres. "The only difference between his work of capturing space data in images and what ended up on the big screen was that he gave them 'starless versions' of his photographs to make it easier to place credit text over them."

Prazeres wrote on his web site that he was touched the producers "wanted the real thing... In a world where CGI and AI are everywhere, it meant a lot..."

Utility-scale solar construction... by robots! It's "one of the largest real-world demonstrations," notes Electrek, with 100 MW of capacity installed by the "Maximo" robots from AES, one of the world's top power companies.

Maximo uses AI "to automate the heavy lifting of solar panels and accelerate solar installation," according to their web page, which shows a video of Maximo at work installing a vast field of solar panels in Kern County, California. With assistance from Nvidia, the Maximo team could "develop, test and refine robotic capabilities through physics-based simulation and AI driven modeling before deploying updates in the field," reports Electrek, and they're aiming for a full GW of solar generating capacity: After completing the first half of the Bellefield complex last summer, Maximo engineers went into a higher gear, with the latest version 3.0 robots consistently surpassing an installation rate of one module per minute, with construction crews installing as many as 24 solar panel modules per hour, per person. If that sounds fast, that's because it is. At full tilt, the latest Maximo robot-equipped crews have nearly doubled the output of traditional installation methods at similar solar locations throughout Southern California.

"Reaching 100 MW is an important milestone for Maximo and for the role robotics can play in solar construction," explains Chris Shelton, president of Maximo. "It demonstrates that field robotics can move beyond experimentation and deliver consistent results at utility scale. As solar deployment continues to accelerate globally, technologies that improve installation speed, quality and reliability will become increasingly important...."

Like just about every other business that demands a high degree of physical labor, the construction industry is facing huge labor shortages, making machines like Maximo that provide real efficiency gains welcome additions to the job site.
"The combination of AI, vision, robotics and simulation driven engineering reduced development and validation timelines," the Maximo team said in a statement, "and increased confidence in field performance as the robotic fleet scaled."