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For years, UMG has pushed platforms, streaming services, and AI companies to implement stricter content moderation policies


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.

OpenRouter has raised a $113 million Series B led by CapitalG. Its 5x growth in usage over six months indicates the multi-AI-model future is here.

Download the Complete Report Here Alpha Compute Corp. (ALP) Revenue-Generating AI Compute Pivot Now Visible; $21 Million NTM Sales Outlook Highlights Scale-Up Potential Key Takeaways: $32.2 million AI lab contract validates ALP’s pivot to AI GPUaaS and confidential compute, creating $16.1 million of annual contracted revenue. $21 million NTM revenue outlook anchors the scale-up trajectory, […]

From Paul Revere to deepfakes, shared reality has always been the hidden infrastructure of American democracy and markets. AI is dismantling it faster than institutions can respond.

Nvidia is changing its reporting to delineate between hyperscaler sales — where Nvidia is fighting commoditization — and everyone else, where Nvidia runs the whole stack.

The move could reshape Asia's security landscape and escalate an underwater arms race.
Meet Keye-VL-2.0-30B-A3B — the latest 30B-class flagship base model in the Keye series, purpose-built to push the frontier of long-video understanding and to unlock the first generation of Agent capabilities in the Keye family. https://huggingface.co/Kwai-Keye/Keye-VL-2.0-30B-A3B https://preview.redd.it/wsxe233abh3h1.png?width=1244&format=png&auto=webp&s=aa9ffa388e16e4f8f5cb72ed3dae063f99df69f1 https://preview.redd.it/2iymyb9dbh3h1.png?width=2048&format=png&auto=webp&s=a834ce92294c3be059b50c6993f1be6d3faf2767 submitted by /u/External_Mood4719 [link] [comments]
Just when we started embracing turboquant this happens submitted by /u/yehyakar [link] [comments]

The Pope's AI encyclical wants AI to serve humanity, not disempower it. Achieving that vision will be tough.

Bill Winters, the CEO of Standard Chartered, says about 15% of “back office” corporate function roles will be reduced in the next four years.

Can AI do fact-checking? A WIRED fact-checker fact-checks.

The world’s leading AI labs are hiring philosophers to think through ethical edge cases and grand questions of mind and morality. Are they another instrument of hype?

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.

AI could make you redundant. Here’s what you need to know.
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]

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.
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Amid rapidly growing adoption of enterprise-level AI agents, there’s a disconnect emerging between ambition and execution. Although 85% of organizations say they want to be agentic within the next three years, 76% say their current operations and infrastructure can’t support that change. They cite a lack of readiness across people, processes, and workflows. The sticky…

Today, I’m talking with Google and Alphabet CEO Sundar Pichai, in a conversation we recorded just after the Google I/O developer conference. This is the fifth year Sundar and I have sat down after I/O, and it’s become one of my favorite Decoder traditions. There’s always a lot of news at I/O, and this year was no exception — Google has powerful new Gemini models, it’s putting AI agents in everything, and it’s making huge changes to Search on both the web and YouTube that will once again reshape the information ecosystem. That’s a lot to talk about, and Sundar and I got into all of it. But I also realized it’s been a long time since I’d asked Sundar the Decoder questions about structure and decision making, so I started there. You’ll hear Sundar say he realized he needed to rethink how Google worked a few years ago in response to ChatGPT, and he made a lot of executive changes and big decisions to get the company in a more aggressive posture. Verge subscribers, don’t forget you get e
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]
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]
Hi, so I have grasped a lot of theory about building agentic systems but I want to apply it am get my hands dirty. Which framework should I start with as an individual learner, since there are a lot of them I am kinda confused. I am joining a company where my role would be around planning and building agents so I want to gear up for that submitted by /u/JackfruitPotential45 [link] [comments]

The definitive story of how Claude Code and OpenClaw kicked off computing’s biggest transformation possibly ever.

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: […]

Human Archive, a startup founded by Berkeley and Stanford researchers, is paying gig workers in India to wear camera-equipped caps and sensor devices to collect the real-world physical training data that AI and robotics labs are racing to acquire.

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.

New governance framework enables enterprises to continuously validate and monitor autonomous AI systems across the Microsoft ecosystemATLANTA, May 26, 2026 (GLOBE NEWSWIRE) -- Airia, the unified platform that gives enterprises control over every AI tool, model, and agent in their organization, today announced the availability of its Model Risk Management (MRM) solution integrated with Microsoft Foundry. The solution delivers continuous validation, automated compliance reporting, and governed imp
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]