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ePlus Launches Private AI Infrastructure Managed Service
ePlus inc. (NASDAQ NGS: PLUS – news) today announced that it has launched Private AI Infrastructure Managed Service, a pre-validated, and production-ready AI foundation that takes enterprises from initial assessment through global-scale deployment.
Airia Launches Comprehensive Model Risk Management Solution Integrated with Microsoft Foundry
America turns 250 with a dangerous new problem: We no longer agree on what’s real
General AI
Nvidia Earnings, The AI Stack, Nvidia’s New Reporting
Nvidia is changing its reporting to delineate between hyperscaler sales — where Nvidia is fighting commoditization — and everyone else, where Nvidia runs the whole stack.
South Korea aims to launch first nuclear-powered submarine by mid-2030s
The move could reshape Asia's security landscape and escalate an underwater arms race.
I’m a Professional Fact-Checker. AI Is Wrong More Often Than You Think
Can AI do fact-checking? A WIRED fact-checker fact-checks.
Take This Mandatory AI Workplace Training Right Now—or Else
AI could make you redundant. Here’s what you need to know.
AI Is Taking Over the Most Cursed Job in the World
There’s a mad dash to automate the world’s most hated calls. Have an unpaid bill? You’ll hear from an AI debt collector sometime soon.
7 Ways to Get So Good at AI, People Will Think You Are AI
From killing your chatbots to optimizing your prompts, here are the best ways to go full AI native and conquer the new world.
China Expands Travel Curbs to Top AI Talent at Private Firms
https://www.bloomberg.com/news/articles/2026-05-26/china-expands-travel-curbs-to-top-ai-talent-at-private-firms Now it will be much harder to poach Chinese AI talents like the former Qwen head Junyang Lin. It is quite sad that they will also have a hard time to travel to foreign countries for fun. Non-paywalled version from Straits Times: https://www.straitstimes.com/asia/east-asia/china-expands-travel-curbs-to-top-ai-talent-at-private-firms submitted by /u/Ok_Warning2146 [link] [comments]
Nobody wants to tell me why they only listen to their own Suno slop
Do you even like art? | Image: Cath Virginia / The Verge, Getty Images There's this alarming trend in the Suno subreddit. People aren't just prompting AI songs; they're sitting around listening almost exclusively to their own slop. And in some cases, they proudly proclaim that they don't listen to music on traditional streaming platforms anymore - it's just AI all day. "Does anyone just listen to their own music now and not even music on Spotify anymore.?" "I definitely listen to my own music most of the time now. Why wouldn't I? It's album after album of bangers" "Guilty as charged. It's an infectious addiction, and I love it." "I thought I was the only one that had an addiction to suno." "Last.f … Read the full story at The Verge.
A reality check on the AI jobs hysteria
Haven’t you heard? White-collar jobs are going away, decimated by AI. Waves of layoffs in the tech sector (most recently at Coinbase and Meta and Cisco) are said to presage what will soon come for all of us knowledge workers. But before you quit your job as a software developer or financial analyst—or tech journalist—and…
It’s time to address the looming crisis in entry-level work
Artificial intelligence has not so far produced a clean story of mass unemployment. Aggregate employment in developed countries remains broadly stable, and recent assessments have found limited evidence that AI has shifted the headline numbers. But a troubling change may be hiding beneath the surface: the quiet weakening of the first rung of the career…
Anthropic Deal Puts New Focus On Palantir’s Enterprise AI Edge
Anthropic has acquired Fractional AI, moving directly into enterprise AI consulting. The deal introduces a new competitor to Palantir Technologies' hybrid software and consulting model. The development raises questions about how Palantir's client relationships and service offering may compare with Anthropic's expanded capabilities. Palantir Technologies (NasdaqGS:PLTR), trading at $136.88, has built its reputation around complex enterprise deployments that blend software with hands-on...
Creators who built followings based on trust refuse to outsource some tasks to AI: Humans can ‘sense a decoy’
Also: All the news and watercooler chat from Fortune.
Import AI 458: Reckoning with the future; and a singularity story
What AI-driven miracles will happen this year?
I don't like the answer this AI gave me
I asked DuckDuckGo AI why AI hasn't told it's creators how to make data centers environmentally friendly, use less water, and not increase utility costs to neighbors. It was... A surprising answer and made me hate AI billionaires even more. submitted by /u/OddballThoughts [link] [comments]
Imai combines with relievers for MLB’s first no-hitter since 2024
Tatsuya Imai (2-2) walked four batters and struck out two over a career-high six innings.
Pope calls for 'disarming' of AI in first encyclical
Pope Leo XIV warned humanity against creating “new digital slaveries” in a 42,300-word encyclical about AI, the first major teaching document of his papacy.
AI just minted 19 new billionaires worth $59 billion
Money has a way of finding the people building tomorrow's tools before the rest of us notice. That was true in the dotcom boom, in the smartphone era, and again in the social media land grab a decade later. The AI boom looks different, at least so far. For the last three years, almost every story ...
Why prompt debt, retrieval debt, and evaluation debt are quietly reshaping enterprise AI risk
Over the past two decades, technical debt meant outdated architecture, messy code, and poorly maintained documentation. That definition is no longer sufficient in the AI era, where failure modes are more subtle and often non-linear. AI systems are introducing new layers of technical debt that live across prompts, models, and data dependencies — making these layers less visible, harder to measure, and often more dangerous than traditional debt. A crisis hiding in plain sight The complexities of AI systems and their associated failures have been well documented. A 2025 MIT study found that 95% of AI projects fail to reach production or deliver value. A similar study by S&P Global Market Intelligence found that 42% of businesses scrapped multiple AI initiatives in 2025 — a sharp increase from 17% the previous year. Various reasons are cited for these failures, but most of them point to poorly designed and implemented systems that are complex to manage and have multiple hard-to-monitor fai
AI news from 200+ sources
Get Started FreeModels & Gen AI
What are the biggest limitations developers face when building AI agents today?
Curious to hear from developers building AI agents right now, what’s been the hardest limitation or bottleneck so far? Could be reliability, memory/context handling, tool use, latency, costs, orchestration, or something else entirely. Would love to hear real-world experiences and lessons learned. submitted by /u/Michael_Anderson_8 [link] [comments]
AI agents are the first tech in years that genuinely feels futuristic
Not “slightly better software.” Not another app with AI slapped onto it. I mean genuinely futuristic. You describe a goal, the agent plans steps, uses tools, searches the web, writes code, fixes mistakes, and keeps going without constant hand-holding. Sure, it still breaks in hilarious ways sometimes 😂 But even the failures feel like early glimpses of something huge. Feels like we went from: “AI can answer questions” to “AI can actually do things” Honestly exciting to watch this space evolve in real time. What’s the most impressive AI agent workflow you’ve seen so far? submitted by /u/Humble_Sentence_3758 [link] [comments]
AI Agents Plunged the Tech World Into Chaos. Here’s Exactly How That Happened
The definitive story of how Claude Code and OpenClaw kicked off computing’s biggest transformation possibly ever.
Uber president says AI spending is getting ‘harder to justify’
Uber president Andrew Macdonald (pictured) says its “hard to draw a line” between AI spending and deliverable features. | Photo: Zed Jameson/Bloomberg via Getty Images After reportedly exhausting its annual AI budget just four months into 2026, Uber is now questioning whether it's actually seeing meaningful returns on its investments. In an interview with Rapid Response, Uber president and chief operating officer Andrew Macdonald said the company isn't seeing a connection between rising token consumption for Claude Code and more useful features being delivered to consumers. "That link is not there yet, right? I think maybe implicitly there is more that is getting shipped, but it's very hard to draw a line between one of those stats and, 'Okay, now we're actually producing 25 percent more useful consumer f … Read the full story at The Verge.
Linkpost: New Vatican Encyclical on AI Governance
Pope Leo XIV has released a new, 42k-word encyclical laying out the Vatican's position on many AI safety topics. You can read the full thing here, or read the Vatican's press release here, or coverage in the NY Times, or perhaps consider having an LLM read the whole encyclical, then chatting about whatever specifics you're interested in! Below is a portion of the NY Times story on the event: Leo’s declaration outlined his desire to protect human dignity and agency in an age in which technology threatens to replace humans in many professional and social roles. He presented it alongside Christopher Olah, a co-founder of Anthropic, a major A.I. developer, in a symbolic gesture of dialogue between leaders of the spiritual and technological worlds. While emphasizing that “technology should not be considered, in itself, as a force antagonistic to humanity,” he wrote that “the pursuit of greater profits cannot justify choices that systematically sacrifice jobs.” Among other things, Leo call
ARM Targets the AI Data Center Opportunity With New AGI CPU Push
Arm Holdings targets AI data centers with its new AGI CPU, betting agentic AI workloads will drive demand for Arm-based infrastructure.
Robotics
Rotaku launches Domo humanoid robot platform starting at $2,999 for developers
Rotaku has opened reservations for Domo, a compact humanoid robot platform designed for developers, makers, educators and robotics teams working with real humanoid hardware. The Domo lineup starts at $2,999 and is intended to make humanoid robot development more accessible to users working on motion control, teleoperation, manipulation, robot interaction and embodied AI. Founder vision: […]
AI warfare is already here
The Convention on Certain Conventional Weapons, an international forum that focuses on lethal autonomous systems, is hosted twice a year at the United Nations in Geneva. When Branka Marijan attended in November 2017, she thought the five-day sessions - which dealt largely in hypotheticals, speculating on a world where warfare was fought with killer robots - would be business as usual. After all, this was technology some thought might never be developed, and likely never deployed. That year, she quickly realized, was different. That distant, imagined future was suddenly closer and realer than ever. On the first day, some attendees watched a … Read the full story at The Verge.
Business & Industry
What breaks first after an AI system is deployed: the model, the data, or the operation?
I’m trying to understand a problem around AI systems after they are deployed inside real businesses. A lot of people talk about model quality, but I’m wondering if the bigger problem is operational drift. For example: business rules change regulations change equipment or workflows change senior people leave undocumented judgment never gets captured the AI still gives a confident answer, but the business context around that answer is no longer correct For people working with AI, automation, manufacturing, compliance, logistics or enterprise software: What usually breaks first after deployment? Is it the model, the data, the business rules, or the people/process around the system? I’m connected to a company working on this problem, but I’m mainly looking for honest feedback before sharing more. submitted by /u/Adityaaa2626 [link] [comments]