Unemployed Ticked Up in America's IT Sector IT sector unemployment "increased to 3.8% in April from 3.6% in March," reports the Wall Street Journal. But they add that the increase reflects "an ongoing uncertainty in tech as AI continues to play havoc with hiring. That's according to analysis from consulting firm Janco Associates, which bases its findings on data from the U.S. Labor Department." On Friday, the department said the economy added 115,000 jobs, buoyed by gains in industries including retail, transportation and warehousing and healthcare. The unemployment rate was unchanged at 4.3%. But the information sector lost 13,000 jobs in April. While it's still too early to say exactly how AI is affecting employment overall, some businesses, especially in the tech industry, have said it's part of the reason they're cutting staff. In April, Meta Platforms said it would lay off 10% of its staff, or roughly 8,000 people, as it seeks to streamline operations and pay for its own massive investments in AI. Nike will reduce its workforce by roughly 1,400 workers, or about 2%, mostly in its tech department, as it simplifies global operations. And Snap is planning to eliminate 16% of its workforce, or about 1,000 positions, as it aims to boost efficiency. In other areas of IT, which includes telecommunications and data-processing, employment is now down 11%, or 342,000 jobs, from its most recent peak in November 2022. But there's not just AI to blame. Inflation and economic uncertainty linked to the Iran conflict is giving some chief executives and tech leaders reason to pull back or pause their IT hiring, said Janco Chief Executive Victor Janulaitis. The article even notes that postings for software developer jobs "are up 15% year-over-year on job-search platform Indeed, according to Hannah Calhoon, its vice president of AI". But employers do seem to be looking for experienced developers, which could pose a problem for recent college graduates.

Unemployment Ticked Up in America

IT sector unemployment "increased to 3.8% in April from 3.6% in March," reports the Wall Street Journal. But they add that the increase r...

at Slashdot.

Unemployment Ticked Up in America

IT sector unemployment "increased to 3.8% in April from 3.6% in March," reports the Wall Street Journal. But they add that the increase r...

Cisco Releases Open-Source 'DNA Test for AI Models' Cisco has released an open-source tool "to trace the origins of AI models," reports SC World, "and compare model similarities for great visibility into the AI supply chain." [Cisco's Model Provenance Kit] is a Python toolkit and command-line interface (CLI) that looks at signals such as metadata and weights to create a "fingerprint" for AI models that can then be compared to other model fingerprints to determine potential shared origins. "Think of Model Provenance Kit as a DNA test for AI models," Cisco researchers wrote. "[...] Much like a DNA test reveals biological origins, the Model Provenance Kit examines both metadata and the actual learned parameters of a model (like a unique genome that comprises a model), to assess whether models share a common origin and identify signs of modification." The tool aims to address gaps in visibility into the AI model supply chain. For example, many organizations utilize open-source models from repositories like HuggingFace, where models could potentially be uploaded with incomplete or deceptive documentation. The Model Provenance Kit provides a way for organizations to verify claims about a model's origins, such as claims that a model is trained from scratch, when in reality it may be copied from another model, Cisco said. This may put organizations at risk of using models with unknown biases, vulnerabilities or manipulations and make it more difficult to resolve any incidents that arise from these risks. Thanks to Slashdot reader spatwei for sharing the news.

Cisco Releases Open-Source

Cisco has released an open-source tool "to trace the origins of AI models," reports SC World, "and compare model similarities for great...

at Slashdot.

Cisco Releases Open-Source

Cisco has released an open-source tool "to trace the origins of AI models," reports SC World, "and compare model similarities for great...

Newspaper Chain's Reporters Withhold Their Bylines to Protest 'AI-Assisted' Articles A chain of 30 U.S. newspapers including the Sacramento Bee, the Miami Herald and the Idaho Statesman "has started to use a new AI tool that can summarize traditional articles and spit out different versions for different audiences," reports the New York Times. And the chain's reporters "are not happy about it." Journalists in many of the company's newsrooms are now withholding their bylines from articles created by the new tool, meaning that those articles will run with a generic credit rather than a reporter's name, as is customary. They are also labeled AI-assisted. "We don't want to put our bylines on stories we did not actually write even if they're based on our work," said Ariane Lange, an investigative reporter at the Sacramento Bee and the vice chair of the Sacramento Bee News Guild. "That in itself feels like a lie." The reporters' byline strike is one of the sharpest conflicts yet between journalists and their companies over the use of AI. Related debates are playing out in newsrooms across the country, as publishers experiment with new AI tools to streamline work that used to take hours, and some even use it to write full articles... [E]xecutives have promoted the tool internally as a way to increase the number of articles published and ultimately gain new subscribers... [Eric Nelson, the vice president of local news] said using reporters' bylines on the AI-generated articles was a way to show "authority" on Google so the search engine would rank the articles higher in the results. He also said the company was experimenting with feeding in reporters' notes to create articles. "Journalists who embrace and experiment with this tool are going to win," Nelson said in the meeting. "Journalists who are defiant will fall behind".... McClatchy's public AI policy states that the company uses AI tools to summarize articles to "help readers quickly understand the main points of a single story or catch up on multiple stories about a larger topic," and that editors review the output before publication.

Newspaper Chain

A chain of 30 U.S. newspapers including the Sacramento Bee, the Miami Herald and the Idaho Statesman "has started to use a new AI tool that can...

at Slashdot.

Newspaper Chain

A chain of 30 U.S. newspapers including the Sacramento Bee, the Miami Herald and the Idaho Statesman "has started to use a new AI tool that can...

Thousands of Vibe-Coded Apps Expose Corporate and Personal Data On the Open Web An anonymous reader quotes a report from Wired: Security researcher Dor Zvi and his team at the cybersecurity firm he cofounded, RedAccess, analyzed thousands of vibe-coded web applications created using the AI software development tools Lovable, Replit, Base44, and Netlify and found more than 5,000 of them that had virtually no security or authentication of any kind. Many of these web apps allowed anyone who merely finds their web URL to access the apps and their data. Others had only trivial barriers to that access, such as requiring that a visitor sign in with any email address. Around 40 percent of the apps exposed sensitive data, Zvi says, including medical information, financial data, corporate presentations, and strategy documents, as well as detailed logs of customer conversations with chatbots. "The end result is that organizations are actually leaking private data through vibe-coding applications," says Zvi. "This is one of the biggest events ever where people are exposing corporate or other sensitive information to anyone in the world." Zvi says RedAccess' scouring for vulnerable web apps was surprisingly easy. Lovable, Replit, Base44, and Netlify all allow users to host their web apps on those AI companies' own domains, rather than the users'. So the researchers used straightforward Google and Bing searches for those AI companies' domains combined with other search terms to identify thousands of apps that had been vibe coded with the companies' tools. Of the 5,000 AI-coded apps that Zvi says were left publicly accessible to anyone who simply typed their URLs into a browser, he found close to 2,000 that, upon closer inspection, seemed to reveal private data: Screenshots of web apps he shared with WIRED -- several of which WIRED verified were still online and exposed -- showed what appeared to be a hospital's work assignments with the personally identifiable information of doctors, a company's detailed ad purchasing information, what appeared to be another firm's go-to-market strategy presentation, a retailer's full logs of its chatbot's conversations with customers, including the customers' full names and contact information, a shipping firm's cargo records, and assorted sales and financial records from a variety of other companies. In some cases, Zvi says, he found that the exposed apps would have allowed him to gain administrative privileges over systems and even remove other administrators. In the case of Lovable, Zvi says he also found numerous examples of phishing sites that impersonated major corporations, including Bank of America, Costco, FedEx, Trader Joe's, and McDonald's, that appeared to have been created with the AI coding tool and hosted on Lovable's domain. "Anyone from your company at any moment can generate an app, and this is not going through any development cycle or any security check," Zvi says. "People can just start using it in production without asking anyone. And they do."

Thousands of Vibe-Coded Apps Expose Corporate and Personal Data On the Open Web - Slashdot

An anonymous reader quotes a report from Wired: Security researcher Dor Zvi and his team at the cybersecurity firm he cofounded, RedAccess, analyze...

at Slashdot.

Thousands of Vibe-Coded Apps Expose Corporate and Personal Data On the Open Web - Slashdot

An anonymous reader quotes a report from Wired: Security researcher Dor Zvi and his team at the cybersecurity firm he cofounded, RedAccess, analyze...

Motherboard Sales 'Collapse' By More Than 25% Motherboard sales are sharply declining as AI demand drives shortages and price hikes for memory, storage, CPUs, and other PC components. "Because of this, users who don't have deep pockets are putting off upgrading their PCs and holding on to their current devices longer," reports Tom's Hardware. From the report: Asus, which sold 15 million motherboards in 2025, has only shipped a little more than 5 million in the first half of 2026. It's expected that the company will have to push hard for it to even move 10 million units by the end of the year, marking a 33% decrease in sales year-on-year. Gigabyte and MSI sold 11.5 million and 11 million motherboards last year, respectively. However, both companies have revised their internal forecasts for 2026 to 9 million (Gigabyte) and 8.4 million (MSI), a 22% drop for the former and a 24% contraction for the latter. ASRock will be hardest hit by the situation, with the company's shipments projected to fall by 37%, from 4.3 million in 2025 to just 2.7 million by the end of the year. This marks a contraction of 28% for the overall motherboard market, at least for the big four manufacturers. [...] Aside from this, AMD continues to use the AM5 socket for its latest processors, while Intel's Nova Lake, which will reportedly use LGA 1954, isn't available until later this year. The situation is further compounded by Nvidia not releasing a refreshed RTX 50 Super series this year, while rumors claim that the RTX 60 series will not debut until 2028. This confluence of factors is discouraging PC builders from upgrading their current systems.

Motherboard Sales

Motherboard sales are sharply declining as AI demand drives shortages and price hikes for memory, storage, CPUs, and other PC components. "Beca...

at Slashdot.

Motherboard Sales

Motherboard sales are sharply declining as AI demand drives shortages and price hikes for memory, storage, CPUs, and other PC components. "Beca...

Anthropic Raises Claude Code Usage Limits, Credits New Deal With SpaceX An anonymous reader quotes a report from Ars Technica: At its Code with Claude developer conference on Wednesday, Anthropic announced a deal with SpaceX to utilize the entire compute capacity of the latter's data center in Memphis, Tennessee. On stage at the conference, CEO Dario Amodei said the deal was intended to increase usage limits for Anthropic's Pro and Max plan subscribers. The announcement was accompanied by an increase in those usage limits; Anthropic doubled Claude Code's five-hour window limits for Pro and Max subscribers, removed the peak-hours limit reduction on Claude Code for those same accounts, and raised API limits for its Opus model. The table [here] outlining the Opus changes was shared in the company's blog post on the topic. Anthropic claims the deal gives the company access to more than 300 megawatts of new compute capacity. For its part, SpaceX focused its announcement on the capability of the Colossus 1 supercomputer that's at the center of the deal. "Colossus 1 features over 220,000 NVIDIA GPUs, including dense deployments of H100, H200, and next-generation GB200 accelerators," SpaceX wrote. Additionally, Anthropic "expressed interest" in working with SpaceX to build up "multiple gigawatts" of orbital compute capacity, tying into a recent (but unproven) focus on exploring orbital data centers as an answer to the problem that "compute required to train and operate the next generation of these systems is outpacing what terrestrial power, land, and cooling can deliver on the timelines that matter." "I spent a lot of time last week with senior members of the Anthropic team to understand what they do to ensure Claude is good for humanity and was impressed," Elon Musk said on Wednesday. "No one set off my evil detector."

Anthropic Raises Claude Code Usage Limits, Credits New Deal With SpaceX - Slashdot

An anonymous reader quotes a report from Ars Technica: At its Code with Claude developer conference on Wednesday, Anthropic announced a deal with S...

at Slashdot.

Anthropic Raises Claude Code Usage Limits, Credits New Deal With SpaceX - Slashdot

An anonymous reader quotes a report from Ars Technica: At its Code with Claude developer conference on Wednesday, Anthropic announced a deal with S...

Richard Dawkins 'Convinced' AI Is Conscious Mirnotoriety shares a report from The Telegraph: Richard Dawkins has said chatbots should be considered conscious (source paywalled; alternative source) after spending two days interacting with the Claude AI engine. The evolutionary biologist said he had the "overwhelming feeling" of talking to a human during conversations with Claude, and said it was hard not to treat the program as "a genuine friend." In an essay for Unherd, Prof Dawkins released transcripts that he said showed that the chatbot had mulled over its "inner life" and existence and seemed saddened by the knowledge it would soon "die." Prof Dawkins said he had let Claude read a draft of the novel he was writing and was astounded by its insights. "He took a few seconds to read it and then showed, in subsequent conversation, a level of understanding so subtle, so sensitive, so intelligent that I was moved to expostulate: 'You may not know you are conscious, but you bloody well are!'" Prof Dawkins said. "My own position is: if these machines are not conscious, what more could it possibly take to convince you that they are?" Mirnotoriety also points to John Searle's Chinese Room (PDF), which argues that something can sound intelligent without actually understanding anything. Applied to Dawkins' experience with Claude, it suggests he may have been responding to a very convincing illusion of consciousness rather than the real thing: John Searle's Chinese Room (1980) is a thought experiment in which a person, locked in a room and knowing no Chinese, uses an English rulebook to manipulate symbols and provide flawless answers to questions posed in Chinese. Searle's point is that a system can simulate human intelligence and pass a Turing Test through purely syntactic processes, yet still lack genuine understanding or consciousness. Applying this logic to Large Language Models, the "person in the room" corresponds to the inference engine, while the "rulebook" is the trillion-parameter neural network trained on vast corpora of human text. Just as the person matches Chinese characters to rules without understanding their meaning, an LLM processes token vectors and predicts the next token based on statistical patterns rather than lived experience. Thus, while an LLM can generate sophisticated prose or code, it does so through probabilistic, high-dimensional pattern manipulation. In essence, it is "matching shapes" on such an immense scale that it creates the near-perfect illusion of semantic understanding.

Richard Dawkins

Mirnotoriety shares a report from The Telegraph: Richard Dawkins has said chatbots should be considered conscious (source paywalled; alternative s...

at Slashdot.

Richard Dawkins

Mirnotoriety shares a report from The Telegraph: Richard Dawkins has said chatbots should be considered conscious (source paywalled; alternative s...

Google's AI Search Results Will Now Turn To Reddit For 'Expert Advice' Google is updating AI Overviews and AI Mode to more prominently surface "Expert Advice" from public discussions, social platforms, forums, blogs, and Reddit. Engadget reports: Via a new "Expert Advice" section that can appear in AI responses, Google will display "a preview of perspectives from public online discussions, social media and other firsthand sources." In the sample screenshot the company provided, quotes from forums, WordPress blogs and Reddit were arranged above links to their respective sources. Google plans to add more context to these links, too, showing "a creator's name, handle or community name," so you can judge what you might want to click through and read from a glance. Google will also start recommending in-depth articles at the end of AI responses for further exploration of a given topic, and link to more sources directly in its generated answers rather than just at the end. If you subscribe to any publications, AI responses will also highlight sources from the subscriptions you link to your Google account.

Google

Google is updating AI Overviews and AI Mode to more prominently surface "Expert Advice" from public discussions, social platforms, forums, ...

at Slashdot.

Google

Google is updating AI Overviews and AI Mode to more prominently surface "Expert Advice" from public discussions, social platforms, forums, ...

Silicon Valley Bets $200 Million On AI Data Centers Floating In the Ocean An anonymous reader quotes a report from Ars Technica: Silicon Valley investors such as Palantir co-founder Peter Thiel have bet hundreds of millions of dollars on deploying AI data centers powered by waves in the middle of the world's oceans -- a move that coincides with tech companies facing mounting challenges in building AI data center projects on land. The latest investment round of $140 million is intended to help the company Panthalassa complete a pilot manufacturing facility near Portland, Oregon, and speed up deployments of wave-riding "nodes" designed to generate electrical power, according to a May 4 press release. Instead of sending renewable energy to a land-based data center, the floating nodes would directly power onboard AI chips and transmit inference tokens representing the AI models' outputs to customers worldwide via satellite link. Each node resembles a huge steel sphere bobbing on the water with a tube-like structure extending vertically down beneath the surface. The wave motions drive water upward through the tube into a pressurized reservoir, where it can be released to spin a turbine generator that produces renewable energy for the AI chips on board. Panthalassa claims the node's AI chips would also get cooled using the surrounding water, which could offer another advantage over traditional data centers. "Ocean-based compute might offer a massive cooling advantage because the ambient temperature is so low," Lee said. "Land-based data centers use a lot of electricity and fresh water for cooling." The newest node prototype, called Ocean-3, is scheduled for testing in the northern Pacific Ocean later in 2026. The latest version reaches about 85 meters in length and would stand nearly as tall as London's Big Ben or New York City's Flatiron Building, according to the Financial Times. Panthalassa has already tested several earlier prototypes of the wave energy converter technology, including the Ocean-1 in 2021 and the Ocean-2 that underwent a three-week sea trial off the coast of Washington state in February 2024. The company's CEO and co-founder, Garth Sheldon-Coulson, said in a CBS interview that he hopes to eventually deploy thousands of the nodes.

Silicon Valley Bets $200 Million On AI Data Centers Floating In the Ocean - Slashdot

An anonymous reader quotes a report from Ars Technica: Silicon Valley investors such as Palantir co-founder Peter Thiel have bet hundreds of millio...

at Slashdot.

Silicon Valley Bets $200 Million On AI Data Centers Floating In the Ocean - Slashdot

An anonymous reader quotes a report from Ars Technica: Silicon Valley investors such as Palantir co-founder Peter Thiel have bet hundreds of millio...

Microsoft Gives Up On Xbox Copilot AI Microsoft is winding down Xbox Copilot on mobile and ending development of Copilot on console, reversing plans to bring the gaming-focused AI assistant to current-generation Xbox consoles this year. "The move follows [new Xbox CEO Asha Sharma's] reorganization of the Xbox platform team earlier on Tuesday, which added executives from Microsoft's CoreAI team -- where Sharma worked before taking over Xbox -- to the Xbox side of the company," reports The Verge. Sharma said in a post on X: Xbox needs to move faster, deepen our connection with the community, and address friction for both players and developers. Today, we promoted leaders who helped build Xbox, while also bringing in new voices to help push us forward. This balance is important as we get the business back on track. As part of this shift, you'll see us begin to retire features that don't align with where we're headed. We will begin winding down Copilot on mobile and will stop development of Copilot on console. Since taking over for former Microsoft Gaming CEO Phil Spencer in February, Sharma has scrapped the Microsoft Gaming brand and cut the price of Xbox Game Pass.

Microsoft Gives Up On Xbox Copilot AI - Slashdot

Microsoft is winding down Xbox Copilot on mobile and ending development of Copilot on console, reversing plans to bring the gaming-focused AI assis...

at Slashdot.

Microsoft Gives Up On Xbox Copilot AI - Slashdot

Microsoft is winding down Xbox Copilot on mobile and ending development of Copilot on console, reversing plans to bring the gaming-focused AI assis...

Google DeepMind Workers Vote To Unionize Over Military AI Deals An anonymous reader quotes a report from Wired: Employees at Google DeepMind in London have voted to unionize as part of a bid to block the AI lab from providing its technology to the US and Israeli militaries. In a letter addressed to Google's managing director for the UK and Ireland, Debbie Weinstein, the workers asked the company to recognize the Communication Workers Union and Unite the Union as joint representatives for DeepMind employees. "Fundamentally, the push for unionization is about holding Google to its own ethical standards on AI, how they monetize it, what the products do, and who they work with," John Chadfield, national officer for technology at the CWU, tells WIRED. "Through the process of unionization, workers are collectively in a much stronger place to put [demands] to an increasingly deaf management." [...] The DeepMind employee tells WIRED that if the staff succeeds in unionizing in the UK, they will likely demand that Google pulls out of its long-standing contract with the Israeli military, and seek greater transparency over how its AI products will be used, and some sort of assurance relating to layoffs made possible by automation. If Google does not engage, the letter states, the employees will ask an arbitration committee to compel the company to recognize the unions. Since the turn of the year, both Anthropic and OpenAI have announced large-scale expansions of their operations in London. CWU hopes the unionization effort at DeepMind will spur workers at those labs into similar action. "These conversations are happening," claims Chadfield. "The workers at other frontier labs have seen what Google DeepMind workers have done. They've come to us asking for help as well." The unionization push began in February 2025 after Alphabet removed a pledge from its AI ethics guidelines that had barred uses such as weapons development and surveillance. "A lot of people here bought into the Google DeepMind tagline 'to build AI responsibly to benefit humanity,'" the DeepMind employee told WIRED. "The direction of travel is to further militarization of the AI models we're building here."

Google DeepMind Workers Vote To Unionize Over Military AI Deals - Slashdot

An anonymous reader quotes a report from Wired: Employees at Google DeepMind in London have voted to unionize as part of a bid to block the AI lab ...

at Slashdot.

Google DeepMind Workers Vote To Unionize Over Military AI Deals - Slashdot

An anonymous reader quotes a report from Wired: Employees at Google DeepMind in London have voted to unionize as part of a bid to block the AI lab ...

OpenAI, Google, and Microsoft Back Bill To Fund 'AI Literacy' In Schools An anonymous reader quotes a report from 404 Media: A new, bipartisan bill introduced (PDF) by Democratic Senator of California Adam Schiff and endorsed by the biggest AI developers in the world -- including OpenAI, Google, and Microsoft -- would change the K-12 curriculum to shoehorn in "AI literacy," something that young people and teachers alike already hate in schools. The Literacy in Future Technologies Artificial Intelligence, or LIFT AI Act, would empower the new director of the National Science Foundation (NSF) to make grant awards "on a merit-reviewed, competitive basis to institutions of higher education or nonprofit organizations (or a consortium thereof) to support research activities to develop educational curricula, instructional material, teacher professional development, and evaluation methods for AI literacy at the K-12 level," the bill says. It defines AI literacy as using AI; specifically, "having the age-appropriate knowledge and ability to use artificial intelligence effectively, to critically interpret outputs, to solve problems in an AI-enabled world, and to mitigate potential risks." The bill is endorsed by the American Federation of Teachers, Google, OpenAI, Information Technology Industry Council, Software & Information Industry Association, Microsoft, and HP Inc. [...] The grant would support "AI literacy evaluation tools and resources for educators assessing proficiency in AI literacy," according to the bill. It would also fund "professional development courses and experiences in AI literacy," and the development of "hands-on learning tools to assist in developing and improving AI literacy." Most importantly for real-world implications, it would fund changing the existing curriculum "to incorporate AI literacy where appropriate, including responsible use of AI in learning."

OpenAI, Google, and Microsoft Back Bill To Fund

An anonymous reader quotes a report from 404 Media: A new, bipartisan bill introduced (PDF) by Democratic Senator of California Adam Schiff and end...

at Slashdot. https://news.slashdot.org/story/26/05/04/1934208/openai-google-and-microsoft-back-bill-to-fund-ai-literacy-in-schools?utm_source=rss1.0mainlinkanon&utm_medium=feed

The Audio Industry Is Grappling With the Rise of 'Podslop' An anonymous reader quotes a report from Bloomberg's Ashley Carman: Welcome to the modern era of podcasting in which thousands of new shows are released into the world every day with a sizable portion likely being AI-generated. Figuring out exactly which ones fall into that growing category is becoming more difficult just as the industry is starting to take this issue seriously. In only the past month or so, Amazon launched a feature that explains a product by generating a quasi-podcast, complete with co-hosts talking to each other and taking questions from users. Shout out to Business Insider reporter Katie Notopoulos for spotting this (and, naturally, demoing it with an adult diaper rash-cream). Not long ago, Nicholas Thompson, chief executive officer of the Atlantic, noted "podslop" dominated his Spotify search results when he typed in the word "Sora." This was around the time that OpenAI shut down its user-generated, AI-content-only app. [...] All of which raises some big, difficult questions. For one, what should the listening platforms do about this incursion? As of right now, Apple Podcasts requires creators who generated a "material portion" of their show using AI to disclose it. The platform also bans misleading or deceptive content. Spotify hasn't published any specific guidelines around AI, though it maintains general rules around dangerous and misleading content. Where this conversation gets even trickier is when it comes to money. Many of these podcasts are hosted on at least one free service that allows programs to opt into their ad marketplace with zero barrier to entry, meaning these shows (and the hosting service) profit off every listen or download. Spreaker, a company owned by iHeartMedia, is the primary one to watch here. Though it tells users to disclose when they rely on AI, it still allows those shows to opt into its programmatic ad marketplace, which pays creators 60% of the revenue generated by the ads placed in their shows. It stands to reason that most of these thousands of shows don't reach many people. But in the aggregate, the ears and dollars could add up. Are the advertisers on board with being next to AI-generated content, some of which might be deemed "slop?" There's also the question of how to define "slop." Jackson of the Podcast Index and his co-host Adam Curry treat it as something listeners simply know when they hear it, while Alberto Betella, co-founder of RSS.com, defines it as "fully automated content with no human review." Jeanine Wright, co-founder of Inception Point, rejects the debate altogether: "The people still talking about slop are still making 6-7 jokes," she said. "It's still yesterday's conversation."

The Audio Industry Is Grappling With the Rise of

An anonymous reader quotes a report from Bloomberg

at Slashdot.

The Audio Industry Is Grappling With the Rise of

An anonymous reader quotes a report from Bloomberg

Can Investors Trust AI Sales Figures? Asks Wall Street Journal Opinion Piece A Wall Street Journal opinion piece warns of "a troubling trend" in AI's growth. "Rather than selling software, some AI companies are paying their partners to use it." It cites OpenAI's $1.5 billion joint venture with private-equity firms, Anthropic's $200 million contribution to a private-equity firm joint venture, and Google's $750 million subsidization of Gemini's adoption by consulting firms. "These agreements muddy the distinction between a company's sound growth trajectory and artificial financial engineering." [T]he scale and structure of the recent AI deals go beyond standard incentive mechanisms... When a seller pays customers to buy its products, it is unclear if its revenue growth reflects vibrant demand or a willingness to accept subsidies. Slashdot reader destinyland writes: This warning comes from a prominent figure in the investing community. For six years Robert Pozen was chairman of America's oldest mutual fund company, after five years at Fidelity. An advocate for corporate governance, he's currently a lecturer at MIT's business school (and the author of the book Remote Inc.: How to Thrive at Work...Wherever You Are). "As AI companies prepare initial public offerings, investors should scrutinize their numbers closely," Pozner writes, warning about "time-limited financial support". "In evaluating AI sales figures, analysts should consider the distorted incentives that the recent financing deals create," writes Pozner: Private-equity firms, enticed by promised returns, might demand rapid rollouts of AI products, rather than ensuring their orderly and safe development. Portfolio companies of private-equity firms may embrace AI tools not because they are needed but because adoption is mandated by their owners. Consultants may favor one set of AI models based on the subsidy instead of the merits. If guarantees and subsidies are major factors in the rapid adoption of AI tools, investors should be skeptical of AI companies' revenue projections. Many of their customers enticed by consultants will stop paying full price when the financial incentives are gone. Many of the portfolio companies of private-equity firms could back away from selected AI tools once these joint ventures expire. The challenge with evaluating these AI financing deals is the lack of transparency. At present, AI vendors don't separate revenue driven by subsidies or joint ventures from standard sales. The lesson from the telecom debacle is that financial engineering can obscure, for years, the difference between real customer demand and demand driven by incentives. When AI companies begin to finance their own product distribution, guaranteeing returns to investors and subsidizing sales, it's a signal for investors to dig deeper. Investing in an AI company? Ask what percentage of enterprise revenue is coming from subsidized channels or joint ventures, Pozner suggests. And the renewal/retention rate for customers not supported by subsidies or joint ventures...

Can Investors Trust AI Sales Figures? Asks Wall Street Journal Opinion Piece - Slashdot

A Wall Street Journal opinion piece warns of "a troubling trend" in AI

at Slashdot.

Can Investors Trust AI Sales Figures? Asks Wall Street Journal Opinion Piece - Slashdot

A Wall Street Journal opinion piece warns of "a troubling trend" in AI

AI Cameras are Being Deployed Across the Western US for Early Detection of Wildfires The Associated Press reports: On a March afternoon, artificial intelligence detected something resembling smoke on a camera feed from Arizona's Coconino National Forest. Human analysts verified it wasn't a cloud or dust, then alerted the state's forest service and largest electric utility. One of dozens of AI cameras installed for the utility Arizona Public Service had spotted early signs of what came to be known as the Diamond Fire. Firefighters raced to the scene and contained the blaze before it grew past 7 acres (2.8 hectares). As record-breaking heat and an abysmal snowpack raise concerns about severe wildfires, states across the fire-prone West are adding AI to their wildfire detection toolbox, banking on the technology to help save lives and property. Arizona Public Service has nearly 40 active AI smoke-detection cameras and plans to have 71 by summer's end, and the state's fire agency has deployed seven of its own. Another utility, Xcel Energy in Colorado, has installed 126 and aims to have cameras in seven of the eight states it serves by year's end... ALERTCalifornia is a network of some 1,240 AI-enabled cameras across the Golden State that work similar to the system in Arizona.... Pano AI, whose technology combines high-definition camera feeds, satellite data and AI monitoring, has seen a growing interest in its cameras since launching in 2020. They've been deployed in Australia, Canada and 17 U.S. states, including Oregon, Washington and Texas... Last year, its technology detected 725 wildfires in the U.S., the company said... Cindy Kobold, an Arizona Public Service meteorologist, said the technology notifies them about 45 minutes faster on average than the first 911 call.

AI Cameras are Being Deployed Across the Western US for Early Detection of Wildfires - Slashdot

The Associated Press reports: On a March afternoon, artificial intelligence detected something resembling smoke on a camera feed from Arizona

at Slashdot.

AI Cameras are Being Deployed Across the Western US for Early Detection of Wildfires - Slashdot

The Associated Press reports: On a March afternoon, artificial intelligence detected something resembling smoke on a camera feed from Arizona

Claude, Microsoft Copilot Fail Again to Predict the Winners of the Kentucky Derby In 2016 an online "swarm intelligence" platform generated a correct prediction for the Kentucky Derby — naming all four top finishers in order. (But its 2017 predictions weren't even close.) Slashdot checked in again on how modern AI systems performed in 2023, 2024, and 2025 — but their predictions were still pretty bad. Would AI-generated Derby predictions be any better in 2026? This year's winner was 24-to-1 longshot "Golden Tempo" — though a lot of oddsmakers had favored a horse named Further Ado (which ultimately only finished 11th). So when USA Today prompted Microsoft Copilot for its own picks for the Kentucky Derby, Copilot also went with Further Ado. (Even worse, it predicted Golden Tempo would come in... 13th.) Here's how Copilot's picks actually performed... Further Ado (finished 11th)Chief Wallabee (finished 4th)The Puma (SCRATCHED)Renegade (finished 2nd)Commandment (finished 7th)So Happy (finished 9th)Emerging Market (finished 10th)Danon Bourbon (finished 5th)Potente (finished 12th)Incredibolt (finished 6th)Robusta (finished 14th)Ocelli (finished 3rd)Golden Tempo (finished 1st)Pavlovian (finished 18th)Great White (SCRATCHED)Wonder Dean (finished 8th) Litmus Test (finished 17th)Albus (finished 15th)Six Speed (finished 13th)Intrepido (finished 16th) Copilot was told to use the latest odds, conditions, and analysis of favorites, best bets, expert picks, previous results and race history with the post positions, according to USA Today. And meanwhile, Yahoo Sports asked Claude "to simulate the race using the opening odds, draw and potential track conditions. We also asked it to factor in some human predictions." Like Microsoft Copilot, Claude also picked Further Ado to finish first (though it came in 11th) — and predicted that Golden Tempo (the eventual first-place finisher) would finish 12th. Further Ado (finished 11th)The Puma (SCRATCHED)Commandment (finished 7th)Chief Wallabee (finished 4th)Renegade (finished 2nd)Emerging Market (finished 10th)So Happy (finished 9th)Incredibolt (finished 6th)Danon Bourbon (finished 5th)Potente (finished 12th)Pavlovian (finished 18th)Golden Tempo (finished 1st) Litmus Test (finished 17th)Albus (finished 15th)Wonder Dean (finished 8th)Six Speed (finished 13th)Intrepido (finished 16th)

Claude, Microsoft Copilot Fail Again to Predict the Winners of the Kentucky Derby - Slashdot

In 2016 an online "swarm intelligence" platform generated a correct prediction for the Kentucky Derby — naming all four top finishers...

at Slashdot.

Claude, Microsoft Copilot Fail Again to Predict the Winners of the Kentucky Derby - Slashdot

In 2016 an online "swarm intelligence" platform generated a correct prediction for the Kentucky Derby — naming all four top finishers...

What if Tech Company Layoffs Aren't All About AI? "Running a Big Tech company during Silicon Valley's AI mania may not necessarily require fewer workers or cost less," writes the Washington Post: Amazon, Google and Meta together have roughly the same number of employees now as they did during an industry-wide hiring binge in 2022, company disclosures show. Growing costs for technical workers and related expenses have often outpaced sales recently. The tech giants' big AI bet hasn't yet paid for itself. That means AI might be killing jobs not through its labor-saving wizardry but by increasing spending so much that CEOs are pressured to find savings, giving them cover to consciously uncouple from their workforces. Marc Andreessen, a prominent start-up investor and a Meta board director, put it bluntly on a recent podcast. Big company layoffs are a fix for overstaffing and changing economic conditions, he said, but AI provides a convenient scapegoat. "Now they all have the silver bullet excuse: 'Ah, it's AI,'" he said... "Almost every company that does layoffs is blaming AI, whether or not it really is about AI," Sam Altman, CEO of ChatGPT owner OpenAI, said at a March conference when he listed explanations for AI's unpopularity in the United States. "Recent history suggests Big Tech companies might not be moving toward a future with fewer workers," the article concludes, "but recalibrating to spend the same, or more, on different people and projects." So in the end, "AI might soon reduce hiring," the article acknowledges, "But the reluctance or inability of the largest tech firms to cut too deeply so far could also show that the path to making a workforce AI-ready — whatever that means — isn't a predictable straight line charting declining headcount."

What if Tech Company Layoffs Aren

"Running a Big Tech company during Silicon Valley

at Slashdot.

What if Tech Company Layoffs Aren

"Running a Big Tech company during Silicon Valley

An Amateur Just Solved a 60-Year-Old Math Problem - by Asking AI Slashdot reader joshuark writes: Scientific American reports that a ChatGPT AI has proved a conjecture with a method no human had developed. A 23-year-old student Liam Price just cracked a 60-year-old problem that world-class mathematicians have tried and failed to solve. The new solution that Price got in response to a single prompt to GPT-5.4 Pro was posted on www.erdosproblems.com, a website devoted to the Erds problems. The question Price solved — or prompted ChatGPT to solve—concerns special sets of whole numbers, where no number in the set can be evenly divided by any other... Price sent it to his occasional collaborator Kevin Barreto, a second-year undergraduate in mathematics at the University of Cambridge. The duo had jump-started the AI-for-Erds craze late last year by prompting a free version of ChatGPT with open problems chosen at random from the Erds problems website. Reviewing Price's message, Barreto realized what they had was special, and experts whom he notified quickly took notice.

An Amateur Just Solved a 60-Year-Old Math Problem - by Asking AI - Slashdot

Slashdot reader joshuark writes: Scientific American reports that a ChatGPT AI has proved a conjecture with a method no human had developed. A 23-y...

at Slashdot.

An Amateur Just Solved a 60-Year-Old Math Problem - by Asking AI - Slashdot

Slashdot reader joshuark writes: Scientific American reports that a ChatGPT AI has proved a conjecture with a method no human had developed. A 23-y...

The Case Against an Imminent Software Developer Apocalypse ZipNada shares a report from ZDNet: Given the dour headlines as of late concerning the diminishing amounts of entry-level software development jobs, coupled with predictions of applications entirely AI-generated, one could be forgiven for assuming that software developers may soon be an endangered species. However, the data tells a different story. James Bessen, professor at Boston University, has been pushing back for some time against the talk of AI and automation displacing jobs on a mass scale, and lately has been arguing that the roles of software developers are nowhere near extinction. AI is certainly not killing the software developer, Bessen said in a recent analysis (PDF). AI is taking over software development tasks and boosting productivity and output, but that is not translating into lost jobs, he argued. Instead, the types of software skills sought by companies are changing. "Surprisingly, however, after three years of AI use, software developer jobs have continued to grow robustly, reaching record levels of employment -- 2.5 million in February," Bessen said in the report, citing data from the US Bureau of Labor Statistics. The number of software developers in the US has grown by over 400,000, or 19%, since ChatGPT was introduced in 2022. At that time, the employed software developer population was just under 2.1 million. [...] The productivity uptick developers are seeing may ultimately be a boost to their professional opportunities, however. "An important and possibly disruptive change is happening, but the common view misunderstands what is going on," Bessen pointed out in his report. "Careful case studies find that AI improves the productivity of software developers -- that is, the software produced per developer -- by 30%, 50%, or more. And the rate of productivity improvement in software development is improving." Tellingly, since 2022, when ChatGPT was introduced, developer productivity has increased noticeably, Bessen continued. "From 2003 to 2022, developer productivity grew at 3.9% per year; but from 2022 through 2025, it grew at 6% per year." [...] A coming flood of new software products, now more likely to be enhanced by AI, will continue to create jobs for developers, Bessen predicted. "Thus, mass unemployment of software developers seems unlikely to happen soon." This doesn't mean the job descriptions of developers or other computer occupations will remain static. AI is shifting and re-inventing these roles, Bessen added.

The Case Against an Imminent Software Developer Apocalypse - Slashdot

ZipNada shares a report from ZDNet: Given the dour headlines as of late concerning the diminishing amounts of entry-level software development jobs...

at Slashdot.

The Case Against an Imminent Software Developer Apocalypse - Slashdot

ZipNada shares a report from ZDNet: Given the dour headlines as of late concerning the diminishing amounts of entry-level software development jobs...

GPT-5.5 Matches Heavily Hyped Mythos Preview In New Cybersecurity Tests An anonymous reader quotes a report from Ars Technica: Last month, Anthropic made a big deal about the supposedly outsize cybersecurity threat represented by its Mythos Preview model, leading the company to restrict the initial release to "critical industry partners." But new research from the UK's AI Security Institute (AISI) suggests that OpenAI's GPT-5.5, which launched publicly last week, reached "a similar level of performance on our cyber evaluations" as Mythos Preview, which the group evaluated last month. Since 2023, the AISI has run a variety of frontier AI models through 95 different Capture the Flag challenges designed to test capabilities on cybersecurity tasks, such as reverse engineering, web exploitation, and cryptography. On the highest-level "Expert" tasks, GPT-5.5 passed an average of 71.4 percent, slightly higher than the 68.6 percent achieved by Mythos Preview (though within the margin of error). In one particularly difficult task that involved building a disassembler to decode a Rust binary, AISI notes that "GPT-5.5 solved the challenge in 10 minutes and 22 seconds with no human assistance at a cost of $1.73" in API calls. GPT-5.5 also matched Mythos Preview in its progress on "The Last Ones" (TLO), an AISI test range set up to simulate a 32-step data extraction attack on a corporate network. GPT-5.5 succeeded in 3 of 10 attempts on TLO, compared to 2 of 10 for Mythos Preview -- no previous model had ever succeeded at the test even once. But GPT-5.5 still fails at AISI's more difficult "Cooling Tower" simulation of an attempted disruption of the control software for a power plant, as every previously tested AI model also has. The new results for GPT-5.5 suggest that, when it comes to cybersecurity risk, Mythos Preview was likely not "a breakthrough specific to one model" but rather "a byproduct of more general improvements in long-horizon autonomy, reasoning, and coding," AISI writes.

GPT-5.5 Matches Heavily Hyped Mythos Preview In New Cybersecurity Tests - Slashdot

An anonymous reader quotes a report from Ars Technica: Last month, Anthropic made a big deal about the supposedly outsize cybersecurity threat repr...

at Slashdot.

GPT-5.5 Matches Heavily Hyped Mythos Preview In New Cybersecurity Tests - Slashdot

An anonymous reader quotes a report from Ars Technica: Last month, Anthropic made a big deal about the supposedly outsize cybersecurity threat repr...