Goldman Sachs analysts have identified a notable shift in how investors respond to corporate layoff announcements, finding that even job cuts attributed to automation and AI-driven restructuring are now causing stock prices to fall rather than rise. The investment bank linked recent layoff announcements to public companies' earnings reports and stock market data, concluding that stocks dropped by an average of 2% following such announcements, and companies citing restructurings faced even harsher punishment.

The traditional Wall Street playbook held that layoffs tied to strategic restructuring would boost stock prices, while cuts driven by declining sales would hurt them. That distinction appears to have collapsed.

Goldman's analysts suggest investors simply don't believe what companies are saying -- firms announcing layoffs have experienced higher capex, debt and interest expense growth alongside lower profit growth compared to industry peers this year. The real driver, analysts suspect, may be cost reduction to offset rising interest expenses and declining profitability rather than any forward-looking efficiency play.

Goldman expects layoffs to keep rising, motivated in part by companies' stated desire to use AI to reduce labor costs.

Nvidia has agreed to buy assets from Groq, a designer of high-performance artificial intelligence accelerator chips, for $20 billion in cash, according to Alex Davis, CEO of Disruptive, which led the startup's latest financing round in September. From a report: Davis, whose firm has invested more than half a billion dollars in Groq since the company was founded in 2016, said the deal came together quickly.

Groq raised $750 million at a valuation of about $6.9 billion three months ago. Investors in the round included Blackrock and Neuberger Berman, as well as Samsung, Cisco, Altimeter and 1789 Capital, where Donald Trump Jr. is a partner. Groq said in a blog post on Wednesday that it's "entered into a non-exclusive licensing agreement with Nvidia for Groq's inference technology," without disclosing a price. With the deal, Groq founder and CEO Jonathan Ross along with Sunny Madra, the company's president, and other senior leaders "will join Nvidia to help advance and scale the licensed technology," the post said.

An anonymous reader quotes a report from the Wall Street Journal: It's harder than ever to mine bitcoin. And less profitable, too. But mining-company stocks are still flying, even with cryptocurrency prices in retreat. That's because these firms have something in common with the hottest investment theme on the planet: the massive, electricity-hungry data centers expected to power the artificial-intelligence boom. Some companies are figuring out how to remake themselves as vital suppliers to Alphabet, Amazon, Meta, Microsoft and other "hyperscalers" bent on AI dominance.

Bitcoin-mining -- using vast computer power to solve equations to unlock the digital currency -- has been a lucrative and cutting-edge pursuit in its own right. Lately, however, increased competition and other challenges have eroded profit margins. But just as the bitcoin-mining business began to cool, the AI build-out turned white hot. The AI arms race has created an insatiable demand for some assets the miners already have: data centers, cooling systems, land and hard-to-obtain contracts for electrical power -- all of which can be repurposed to train and power AI models.

It's not a seamless process. Miners often have to build new, specialized facilities, because running AI requires more-advanced cooling and network systems, as well as replacing bitcoin-mining computers with AI-focused graphics processing units. But signing deals with miners allows AI giants to expand faster and cheaper than starting new facilities from scratch. These companies still mine some bitcoin, but the transition gives miners a new source of deep-pocketed customers willing to commit to longer-term leases for their data centers.

"The opportunity for miners to convert to AI is one of the greatest opportunities I could possibly imagine," said Adam Sullivan, chief executive of Core Scientific, which has pivoted to AI data centers. The shift has boosted miners' stocks. The CoinShares Bitcoin Mining ETF has surged about 90% this year, a rally that has accelerated even as bitcoin erased its gains for 2025. The ETF holds shares of miners including Cipher Mining and IREN, both of which have surged following long-term deals with companies such as Amazon and Microsoft. Shares of Core Scientific quadrupled in 2024 after the company signed its first AI contract that February. The stock has gained 10% this year. The company now expects to exit bitcoin mining entirely by 2028.

alternative_right shares a report from Euronews: France's President Emmanuel Macron discovered news of his own supposed overthrow, after he received a message of concern, along with a link to a Facebook video. "On Sunday (14 December) one of my African counterparts got in touch, writing 'Dear president, what's happening to you? I'm very worried,'" Macron told readers of French local newspaper La Provence on December 16.

Alongside the message, a compelling video showcasing a swirling helicopter, military personnel, crowds and -- what appears to be -- a news anchor delivering a piece to camera. "Unofficial reports suggest that there has been a coup in France, led by a colonel whose identity has not been revealed, along with the possible fall of Emmanuel Macron. However, the authorities have not issued a clear statement," she says.

Except, nothing about this video is authentic: it was created with AI. After discovering the video, Macron asked Pharos -- France's official portal for signaling online illicit content -- to call Facebook's parent company Meta, to get the fake video removed. But that request was turned down, as the platform claimed it did not violate its "rules of use." [...] The original video ... racked up more than 12 million views [...].The teenager running the account is based in Burkina Faso and makes money running courses focusing on how to monetize AI. He eventually took the video down more than a week after its initial publication, due to political -- and public -- controversy. "I tend to think that I have more power to apply pressure than other people," Macron said. "Or rather, that it's easier to say something is serious if I am the one calling, but it doesn't work."

"These people are mocking us," he added. "They don't care about the serenity of public debates, they don't care about democracy, and therefore they are putting us in danger."

"In the age of Spotify and AI slop, tapes remind us what we're missing when we stop taking risks," writes author Janus Rose in an article for 404 Media. Here's an excerpt: There are lots of advantages to the cassette lifestyle. Unlike vinyl records, tapes are compact and super-portable, and unlike streaming, you never have to worry about a giant company suddenly taking them away from you. They can be easily duplicated, shared, and made into mixtapes using equipment you find in a junk shop. When I was a kid, the first music I ever owned were tapes I recorded from MTV with a Kids' Fisher Price tape recorder. I had no money, so I would listen to those tapes for hours, relishing every word Kim Gordon exhaled on my bootlegged copy of Sonic Youth's "Bull in the Heather." Just like back then, my rediscovery of cassettes has led me to start listening more intentionally and deeply, devoting more and more time to each record without the compulsion to hit "skip." Most of the cassettes I bought in Tokyo had music I probably never would have found or spent time with otherwise.

Getting reacquainted with tapes made me realize how much has been lost in the streaming era. Over the past two decades, platforms like Spotify co-opted the model of peer-to-peer filesharing pioneered by Napster and BitTorrent into a fully captured ecosystem. But instead of sharing, this ecosystem was designed around screen addiction, surveillance, and instant gratification -- with corporate middlemen and big labels reaping all the profits. Streaming seeks to virtually eliminate what techies like to call "user friction," turning all creative works into a seamless and unlimited flow of data, pouring out of our devices like water from a digital faucet. Everything becomes "Content," flattened into aesthetic buckets and laser-targeted by "perfect fit" algorithms to feed our addictive impulses. Thus the act of listening to music is transformed from a practice of discovery and communication to a hyper-personalized mood board of machine-optimized "vibes."

What we now call "AI Slop" is just a novel and more cynically efficient vessel for this same process. Slop removes human beings as both author and subject, reducing us to raw impulses -- a digital lubricant for maximizing viral throughput. Whether we love or hate AI Slop is irrelevant, because human consumers are not its intended beneficiaries. In the minds of CEOs like OpenAI's Sam Altman, we're simply components in a machine built to maintain and accelerate information flows, in order to create value for an insatiably wealthy investor class. [...]

Tapes and other physical media aren't a magic miracle cure for late-stage capitalism. But they can help us slow down and remember what makes us human. Tapes make music-listening into an intentional practice that encourages us to spend time connecting with the art, instead of frantically vibe-surfing for something that suits our mood from moment-to-moment. They reject the idea that the point of discovering and listening to music is finding the optimal collection of stimuli to produce good brain chemicals. More importantly, physical media reminds us that nothing good is possible if we refuse to take risks. You might find the most mediocre indie band imaginable. Or you might discover something that changes you forever. Nothing will happen if you play it safe and outsource all of your experiences to a content machine designed to make rich people richer.

An anonymous reader quotes a report from Wired: Two years ago, Lizmary Fernandez took a detour from studying to be an immigration attorney to join a free Apple course for making iPhone apps. The Apple Developer Academy in Detroit launched as part of the company's $200 million response to the Black Lives Matter protests and aims to expand opportunities for people of color in the country's poorest big city. But Fernandez found the program's cost-of-living stipend lacking -- "A lot of us got on food stamps," she says -- and the coursework insufficient for landing a coding job. "I didn't have the experience or portfolio," says the 25-year-old, who is now a flight attendant and preparing to apply to law school. "Coding is not something I got back to."

Since 2021, the academy has welcomed over 1,700 students, a racially diverse mix with varying levels of tech literacy and financial flexibility. About 600 students, including Fernandez, have completed its 10-month course of half-days at Michigan State University, which cosponsors the Apple-branded and Apple-focused program. WIRED reviewed contracts and budgets and spoke with officials and graduates for the first in-depth examination of the nearly $30 million invested in the academy over the past four years -- almost 30 percent of which came from Michigan taxpayers and the university's regular students. As tech giants begin pouring billions of dollars into AI-related job training courses across the country, the Apple academy offers lessons on the challenges of uplifting diverse communities.

[...] The program gives out iPhones and MacBooks and spends an estimated $20,000 per student, nearly twice as much as state and local governments budget for community colleges. [...] About 70 percent of students graduate, which [Sarah Gretter, the academy leader for Michigan State] describes as higher than typical for adult education. She says the goal is for them to take "a next step," whether a job or more courses. Roughly a third of participants are under 25, and virtually all of them pursue further schooling. [...] About 71 percent of graduates from the last two years went onto full-time jobs across a variety of industries, according to academy officials. Amy J. Ko, a University of Washington computer scientist who researches computing education, calls under 80 percent typical for the coding schools she has studied but notes that one of her department's own undergraduate programs has a 95 percent job placement rate.

Microsoft has denied any plans to rewrite Windows 11 using AI and Rust after a LinkedIn post from one of its top-level engineers sparked a wave of online backlash by claiming the company's goal was to "eliminate every line of C and C++ from Microsoft by 2030."

Galen Hunt, a principal software engineer responsible for several large-scale research projects at Microsoft, made the claim in what was originally a hiring post for his team. His original wording described a "North Star" of "1 engineer, 1 month, 1 million lines of code" and outlined a strategy to "combine AI and Algorithms to rewrite Microsoft's largest codebases." The repeated use of "our" in the post led many to interpret it as an official company direction rather than a personal research ambition.

Frank X. Shaw, Microsoft's head of communications, told Windows Latest that the company has no such plans. Hunt subsequently edited his LinkedIn post to clarify that "Windows is NOT being rewritten in Rust with AI" and that his team's work is a research project focused on building technology to enable language-to-language migration. He characterized the reaction as "speculative reading between the lines."

Italy's antitrust regulator Italian Competition Authority ordered Meta to suspend a policy that blocks rival AI chatbots from using WhatsApp's business APIs, citing potential abuse of market dominance. "Meta's conduct appears to constitute an abuse, since it may limit production, market access, or technical developments in the AI Chatbot services market, to the detriment of consumers," the Authority wrote. "Moreover, while the investigation is ongoing, Meta's conduct may cause serious and irreparable harm to competition in the affected market, undermining contestability." TechCrunch reports: The AGCM in November had broadened the scope of an existing investigation into Meta, after the company changed its business API policy in October to ban general-purpose chatbots from being offered on the chat app via the API. Meta has argued that its API isn't designed to be a platform for the distribution of chatbots and that people have more avenues beyond WhatsApp to use AI bots from other companies. The policy change, which goes into effect in January, would affect the availability of AI chatbots from the likes of OpenAI, Perplexity, and Poke on the app.

Amazon finds itself caught between two competing impulses as AI shopping agents from OpenAI, Google, Perplexity and Microsoft mushroom across the e-commerce space -- block them to protect its dominant position, or partner with them to avoid being left behind. The company has largely played defense so far. Amazon recently updated its website code to block external AI agents from crawling it, and as of this week had blocked 47 bots including those from all major AI companies. In November, Amazon sued Perplexity over an agent in the startup's Comet browser that can make purchases on users' behalf, alleging the company concealed its agents to continue scraping Amazon's site. But Amazon's stance appears to be shifting, CNBC reports.

CEO Andy Jassy said on an October earnings call that Amazon expects to partner with third-party agents and has engaged in conversations with some providers. The company is now hiring a corporate development leader to forge strategic partnerships in "agentic commerce." Amazon is also investing in its own tools. The company launched shopping chatbot Rufus last February and has been testing an agent called Buy For Me that can purchase products from other sites within Amazon's app.

An anonymous reader quotes a report from the Wall Street Journal: Concerned that artificial intelligence could threaten Communist Party rule, Beijing is taking extraordinary steps to keep it under control. Although China's government sees AI as crucial to the country's economic and military future, regulations and recent purges of online content show it also fears AI could destabilize society. Chatbots pose a particular problem: Their ability to think for themselves could generate responses that spur people to question party rule.

In November, Beijing formalized rules it has been working on with AI companies to ensure their chatbots are trained on data filtered for politically sensitive content, and that they can pass an ideological test before going public. All AI-generated texts, videos and images must be explicitly labeled and traceable, making it easier to track and punish anyone spreading undesirable content. Authorities recently said they removed 960,000 pieces of what they regarded as illegal or harmful AI-generated content during three months of an enforcement campaign. Authorities have officially classified AI as a major potential threat, adding it alongside earthquakes and epidemics to its National Emergency Response Plan.

Chinese authorities don't want to regulate too much, people familiar with the government's thinking said. Doing so could extinguish innovation and condemn China to second-tier status in the global AI race behind the U.S., which is taking a more hands-off approach toward policing AI. But Beijing also can't afford to let AI run amok. Chinese leader Xi Jinping said earlier this year that AI brought "unprecedented risks," according to state media. A lieutenant called AI without safety like driving on a highway without brakes. There are signs that China is, for now, finding a way to thread the needle.

Chinese models are scoring well in international rankings, both overall and in specific areas such as computer coding, even as they censor responses about the Tiananmen Square massacre, human-rights concerns and other sensitive topics. Major American AI models are for the most part unavailable in China. It could become harder for DeepSeek and other Chinese models to keep up with U.S. models as AI systems become more sophisticated. Researchers outside of China who have reviewed both Chinese and American models also say that China's regulatory approach has some benefits: Its chatbots are often safer by some metrics, with less violence and pornography, and are less likely to steer people toward self-harm. "The Communist Party's top priority has always been regulating political content, but there are people in the system who deeply care about the other social impacts of AI, especially on children," said Matt Sheehan, who studies Chinese AI at the Carnegie Endowment for International Peace, a think tank. "That may lead models to produce less dangerous content on certain dimensions."

Longtime Slashdot reader MrFreak shares a public radio interview from 2015 discussing artificial intelligence as inference over abstract inputs, along with scaling limits, automation, and governance models, where for-profit engines are constrained by nonprofit oversight: Recorded months before OpenAI was founded, the conversation treats intelligence as math plus incentives rather than something mystical, touching on architectural bottlenecks, why "reasoning" may not simply emerge from brute force, labor displacement, and institutional design for advanced AI systems. Many of the themes align closely with current debates around large language models and AI governance.

The recording was revisited following recent remarks by Sergey Brin at Stanford, where he acknowledged that despite Google's early work on Transformers, institutional hesitation and incentive structures limited how aggressively the technology was pursued. The interview provides an earlier, first-principles perspective on how abstraction, scaling, and organizational design might interact once AI systems begin to compound.

theodp writes: We all mix pictures, emojis, and text freely in our communications. So why not in our code? That's the premise of "Fun With Python and Emoji: What Might Adding Pictures to Text Programming Languages Look Like?" (two-image Bluesky explainer; full slides), which takes a look at what mixing emoji with Python and SQL might look like. A GitHub repo includes a Google Colab-ready Python notebook proof of concept that does rudimentary emoji-to-text translation via an IPython input transformer.

So, in the Golden Age of AI -- some 60+ years after Kenneth Iverson introduced the chock-full-of-symbols APL -- are valid technical reasons still keeping symbols and pictures out of code, or is their absence more of a programming dogma thing?

A group of authors led by John Carreyrou has filed a new lawsuit against Anthropic, Google, OpenAI, Meta, xAI, and Perplexity, accusing the AI firms of training models on pirated copies of their books. TechCrunch reports: If this sounds familiar, it's because another set of authors already filed a class action suit against Anthropic for these same acts of copyright infringement. In that case, the judge ruled that it was legal for Anthropic and similar AI companies to train on pirated copies of books, but that it was not legal to pirate the books in the first place.

While eligible writers can receive about $3,000 from the $1.5 billion Anthropic settlement, some authors were dissatisfied with that resolution -- it doesn't hold AI companies accountable for the actual act of using stolen books to train their models, which generate billions of dollars in revenue. The plaintiffs in the new lawsuit say the proposed Anthropic settlement "seems to serve [the AI companies], not creators."

"LLM companies should not be able to so easily extinguish thousands upon thousands of high-value claims at bargain-basement rates, eliding what should be the true cost of their massive willful infringement."

An anonymous reader quotes a report from MarketWatch: ServiceNow announced a deal to acquire cybersecurity company Armis on Tuesday, marking a new milestone in the software giant's artificial-intelligence business strategy. The $7.75 billion all-cash transaction is part of ServiceNow's goal of advancing governance and trust in autonomous AI agents, and the company's largest transaction to date. "The acquisition of Armis will extend and enhance ServiceNow's Security, Risk, and [Operational Technology] portfolios in critical and fast-growing areas of cybersecurity and drive increased AI adoption by strengthening trust across businesses' connected environments," the company wrote in a press release.

While ServiceNow built its foundation IT service management products, the company has positioned itself as an "AI control tower" that orchestrates workflows across HR, customer service and security operations. Organizations today are operating in increasingly complex environments, with assets spanning from laptops and servers to smart grid devices, Gina Mastantuono, chief financial officer of ServiceNow, told MarketWatch on Tuesday. "But at the same time, cyber threats are becoming more sophisticated and more complex," she added.

ServiceNow's Security and Risk business crossed $1 billion in annual contract value earlier this year, and the Armis acquisition is expected to triple ServiceNow's market opportunity in the sector. Armis currently has over $340 million in annual recurring revenue, with growth exceeding 50% year-over-year, according to the press release. The Armis acquisition would allow ServiceNow to create an "end-to-end proactive cybersecurity exposure and operations stack that enables enterprises to see, decide and act across a business' entire technology footprint," Mastantuono said.

Asus has been showcasing its new 5K 27-inch ROG Strix 27 Pro gaming monitor running at 5,120 x 2,880 resolution and up to 180Hz, but even Nvidia's flagship RTX 5090 struggles to deliver smooth frame rates at this demanding pixel count. In testing conducted by Asus, the RTX 5090D -- a Chinese-exclusive variant with weaker AI performance -- achieved just 51 frames per second in a Cyberpunk 2077 benchmark at ultra ray traced settings. The test system ran an AMD Ryzen 9950X3D processor, had DLSS set to balanced, and kept frame generation disabled. The same configuration running at 4K managed 77 fps, around 50% higher.

The underlying math is simple: 5K resolution requires rendering 78% more pixels than 4K. That 218 PPI pixel density delivers impressive sharpness up close, but Asus chose an IPS panel over OLED technology to reach it, trading away deeper black levels and faster response times. Asus appears to be positioning the monitor as a dual-mode display -- 5K for productivity and video, 1440p at up to 330Hz for gaming. Early Chinese listings have it priced at the equivalent of $800, roughly what you'd pay for a larger 4K OLED panel.

Microsoft plans to eliminate all C and C++ code across its major codebases by 2030, replacing it with Rust using AI-assisted, large-scale refactoring. "My goal is to eliminate every line of C and C++ from Microsoft by 2030," Microsoft Distinguished Engineer Galen Hunt writes in a post on LinkedIn. "Our strategy is to combine AI and Algorithms to rewrite Microsoft's largest codebases. Our North Star is '1 engineer, 1 month, 1 million lines of code.' To accomplish this previously unimaginable task, we've built a powerful code processing infrastructure. Our algorithmic infrastructure creates a scalable graph over source code at scale. Our AI processing infrastructure then enables us to apply AI agents, guided by algorithms, to make code modifications at scale. The core of this infrastructure is already operating at scale on problems such as code understanding."

Hunt says he's looking to hire a Principal Software Engineer to help with this effort. "The purpose of this Principal Software Engineer role is to help us evolve and augment our infrastructure to enable translating Microsoft's largest C and C++ systems to Rust," writes Hunt. "A critical requirement for this role is experience building production quality systems-level code in Rust -- preferably at least 3 years of experience writing systems-level code in Rust. Compiler, database, or OS implementation experience is highly desired. While compiler implementation experience is not required to apply, the willingness to acquire that experience in our team is required."

Alphabet is acquiring Intersect for $4.75 billion to accelerate data center and power-generation capacity as AI infrastructure demand surges. CNBC reports: Alphabet said Intersect's operations will remain independent, but that the acquisition will help bring more data center and generation capacity online faster. "Intersect will help us expand capacity, operate more nimbly in building new power generation in lockstep with new data center load, and reimagine energy solutions to drive U.S. innovation and leadership," Sundar Pichai, CEO of Google and Alphabet, said in a statement.

Google already had a minority stake in Intersect from a funding round that was announced last December. In a release at the time, Intersect said its strategic partnership with Google and TPG Rise Climate aimed to develop gigawatts of data center capacity across the U.S., including a $20 billion investment in renewable power infrastructure by the end of the decade.

Alphabet said Monday that Intersect will work closely with Google's technical infrastructure team, including on the companies' co-located power site and data center in Haskell County, Texas. Google previously announced a $40 billion investment in Texas through 2027, which includes new data center campuses in the state's Haskell and Armstrong counties.

Instacart has ended its AI-powered pricing tests after a study from Groundwork Collaborative, Consumer Reports and More Perfect Union revealed that the grocery delivery platform was showing different customers different prices for identical items at the same store. The company said Monday that retailers can no longer use Eversight, the AI pricing technology Instacart acquired in 2022, to run such tests.

"Now, if two families are shopping for the same items, at the same time, from the same store location on Instacart, they see the same prices -- period," the company wrote in a blog post. The study drew attention from lawmakers; Sen. Chuck Schumer wrote to the FTC that "consumers deserve to know when they are being placed into pricing tests," and Reuters reported that the agency had opened an investigation. Instacart says the tests "were never based on supply or demand, personal data, demographics, or individual shopping behavior."

The company also reached a $60 million settlement last week over separate allegations including falsely advertising free shipping.

BrianFagioli writes: Visa says it has completed hundreds of secure, AI-initiated transactions with partners, arguing this proves agent driven shopping is ready to move beyond experiments. The company believes 2025 will be the last full year most consumers manually check out, with AI agents handling purchases at scale by the 2026 holiday season. Nearly half of US shoppers already use AI tools for product discovery, and Visa wants to extend that shift all the way through payment using its Intelligent Commerce framework.

The pilots are already live in controlled environments, powering consumer and business purchases through AI agents tied to Visa's payment rails. To prevent abuse, Visa and partners have introduced a Trusted Agent Protocol to help merchants distinguish legitimate AI agents from bots, with Akamai adding fraud and identity controls. While the infrastructure may be ready, the bigger question is whether consumers fully understand the risks of letting software spend their money.

The video games industry in 2025 finds itself caught between the familiar forces of consolidation and job losses that have plagued creative industries, and a newer development: governments and the ultra-wealthy have begun treating games as tools of political influence. Saudi Arabia's Public Investment Fund closed a $55 billion deal for EA this year and acquired Niantic, the makers of Pokemon Go, in March.

Microsoft's 2023 acquisition of Activision already signaled the direction of travel. The workforce has borne the costs of this consolidation. More than 5,000 jobs have been lost in the industry this year, and several studios have shuttered, including Monolith Productions. The instability has pushed unions into greater prominence: United Videogame Workers formed in the US and Canada in March as part of the Communications Workers of America, and the firing of 30 staff from Rockstar Games in the UK brought the IWGB Game Workers Union into the spotlight.

Meanwhile, the Trump administration has posted AI-generated images of the president as Halo's Master Chief and used Pokemon and Halo memes to recruit for ICE.