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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.
Linkpost: New Vatican Encyclical on AI Governance
ARM Targets the AI Data Center Opportunity With New AGI CPU Push
General AI
The 'Next Nvidia' Trade? Why Investors Are Suddenly Watching Advanced Micro Devices, Arm Holdings, and Marvell Technology
Nvidia's smaller peers are expected to deliver stronger earnings growth amid fast-growing demand for inference-focused AI chips.
Veteran investor names the next 'NVIDIA' before AI boom
Veteran investor and Bitwise advisor Jeffrey Park has identified what he believes could become the next "NVIDIA,” highlighting growing investor appetite for the next breakout technology play. Park wrote a long X post on May 24, in which he pointed to crypto as a technology that is bound to surge, ...
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Over the past two decades, technical debt meant outdated architecture, messy code, and poorly maintained documentation.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
The pope’s AI encyclical isn’t really about AI
Pope Leo XIV's first encyclical uses AI as a lens to diagnose older problems: concentrated power, eroding democracy, and a tech elite that shapes the world to its own advantage.
Pope Leo calls for being ‘profoundly human’ in the age of AI
Pope Leo XIV attends the presentation of his first Encyclical Letter "Magnifica humanitas" on May 25, 2026 in Vatican City, Vatican. | Getty Images Pope Leo XIV warned of the risks of AI and unconstrained technological power in his first major papal document released on Monday. Magnifica Humanitas is the pope's manifesto on "safeguarding the human person in the time of artificial intelligence," in which he discusses the dangers of AI-powered warfare, the effects of AI on labor, and the need for new legal and ethical frameworks to govern technology. In his papal encyclical - a kind of open letter from the Catholic Church - Pope Leo stressed the economic and social upheaval that rapid AI adoption is creating, with inadequate protections for individuals that threaten human dignity. He com … Read the full story at The Verge.
I tracked 47 new agent products launched in 2026. Here are 5 ways they differ from the last generation (chart inside)
Inclusion criteria: agent products that emerged in 2026 (excluding major updates to incumbent products from big labs). Sources: TechCrunch, Product Hunt, YC W26 batch, a16z portfolio, AI product newsletters, and Reddit discussions. Between January and May this year, the most interesting product launches in AI came from agents rather than from the foundation models themselves. I put together a list of 47 new agent products from this period, along with 5 observations comparing them to the previous wave (Devin, Operator, early Manus, etc. from 2025). The table # Product When Form factor Generational trait One liner 1 Mem0 Late 2025 / 2026 funding Memory infra ① Compounds Memory infra for agents, 41k+ GitHub stars 2 Nyne Mar 2026, $5.3M seed Context infra ① Compounds Stitches LinkedIn / IG / public records into a unified "who is this user" layer 3 AllyHub 2026 launch Chat to browser ① Compounds Browser agent that learns from each task, branded around the "compounds" idea
Bernie Sanders Slams Meta After 8,000 Layoffs And Asks: If Mark Zuckerberg Will Lay Off 10% Of His Staff, What Will AI Do To American Workers?
On Wednesday, Sen. Bernie Sanders (I-Vt) raised concerns about artificial intelligence and job security after Meta Platforms, Inc. laid off roughly 8,000 employees while accelerating its multibillion-dollar AI expansion. Meta Layoffs Spark AI Job Loss Debate In a post on...
The AI Era Is Creating a Bug Hunting Arms Race
As attackers ramp up their AI exploit development, the search for software vulnerabilities is changing rapidly.
Wix cutting
Wix is reportedly laying off roughly 800–1,000 employees — about 20% of its workforce — in its largest restructuring ever. The interesting part isn’t just the layoffs. It’s what they reveal about the economics of AI-first software companies. Wix’s core business is still growing: • Revenue reportedly rose ~14% YoY in Q1 2026 • Bookings were up ~15% • New AI-driven cohorts showed even faster growth But growth alone no longer protects margins when AI infrastructure costs explode. The pressure points: • Heavy investment in Base44, the vibe-coding startup Wix acquired in 2025 • Building and running proprietary AI models • Massive compute/inference costs • Expensive customer acquisition and marketing campaigns • A controversial $1.6B share buyback executed before the downturn At the same time, investors are questioning whether traditional website builders are becoming commoditized by AI. The bigger story is “vibe coding.” Users can now describe an app or website in plain Engli
I was one of the internet’s first influencers. AI just killed the whole category — and created something better
AI didn't just commoditize content — it made credibility the scarcest resource on the internet. What comes next will reward experts, not entertainers.
‘Nobody knows anything’ and ‘this time is different’: the phrases that define — and haunt — the AI economy
Wharton's Ethan Mollick said he talks to AI labs and CEOs all the time, and "anyone who's like, 'We have the playbook'—they're lying to you."
Everyone is navigating AI security in real time — even Google
We're in the transition period -- all of us.
I tried Amazon’s Bee wearable and am both intrigued and slightly creeped out
Like other AI wearables, Amazon's Bee offers an odd combination of convenience and privacy anxiety.
Just wanted to show off how cool I think it is that my python ai has a real brain looking brain
Not promoting or anything, just think it's oddly interesting. submitted by /u/Glittering_Focus1538 [link] [comments]
PapersWithCode new features - week 1 [P]
Hi, Niels here from the open-source team at Hugging Face. It's been one week since I launched paperswithcode.co, a revival of the website we all loved. It allows us to keep track of the state-of-the-art (SOTA) across various domains of AI, from agents to computer vision and time-series forecasting. The reception has been great, and I'm excited to extend this over the next few months. This week, I've added the following features: - Support for multiple metrics for a given benchmark: leaderboards now support multiple metrics, see e.g., the Open ASR Leaderboard for automatic speech recognition, which supports both Word Error Rate (WER) and the Inverse Real-Time Factor (RTFx) metrics, or the Object Detection leaderboard, which now also reports frames-per-second (FPS) besides mean average precision (mAP) on COCO. https://preview.redd.it/owlxn0b5u23h1.png?width=2878&format=png&auto=webp&s=1dff2f8feab4f160f77c97ceeb5d90e82382e63c - Support for external papers: We do support submitting p
AI news from 200+ sources
Get Started FreeModels & Gen AI
What ClickUp’s mass layoff tells us about the future of work
The nine-year-old startup is replacing hundreds of employees with thousands of AI agents.
How do you handle trying new models without spending too much?
New models pop up constantly—Qwen 3.7, Gemini 3.5 flash, etc. Every time a better one launches, I want to have a try, but I don't want to increase subscriptions. Curious how you all approach this: Stick with what you already subscribe to? Use API platforms to test before committing? Subscribe individually as needed? Waiting for others' reviews? Keeping up with new models seems to be its own expense/workflow now. What's your strategy for balancing access vs. cost? submitted by /u/Ok-Mark8538 [link] [comments]
New to agents, mcp , etc how do I get to a point where i can lay back and let my agents do the work
Currently working on some projects. I have some agents and chrome scrap tasks id like it to do. Does Aider need permission for certain commands or is there a safety guardrail? Is Aider the best, I think I am done with Antigravity with Gemini models for coding it is trash. submitted by /u/Lazyrecipe5264 [link] [comments]
I made a local-first MCP tutorial repo with node-llama-cpp and a custom agent loop
I just published a repo called MCP from Scratch that teaches the Model Context Protocol by building it step by step in plain Node.js. Most of the repo is about understanding MCP itself, but the later modules may be relevant here: I added a local-first setup using node-llama-cpp, GGUF models, MCP sampling, and a custom plan -> act -> observe agent loop. So the repo goes from: raw JSON-RPC and stdio transport to a working MCP server with tools/resources/prompts to local model integration to an agent loop that uses MCP tools with a local GGUF model There’s also an optional LangChain example, but the main path is intentionally minimal and tries to make the underlying mechanics obvious. Key points: plain Node.js, minimal abstractions designed as a learning repo, not a production SDK uses shared local GGUF models for the later modules built for people who want to understand what MCP tooling is actually doing under the hood Repo: https://github.com/pguso/mcp-from-scratch
AI will "raise human consciousness" and "awaken humanity's consciousness to a new level"?
In my discussions with a person who is very devout to their new age spirituality and related "self-development", I was told that AI will "raise human consciousness" and "awaken humanity's consciousness to a new level". I learned about a platform called Mind Valley(?) where they have AI summits about leveraging AI and creating AI coaches for self-development and coaching (in the self-development/spiritual context). In their definition, accepting spirit and the new age beliefs is being awaken and rises one to a new conscious level. This, by the way, is the sort that believes in manifesting, "The Secret", everything that happens is "for the greater good of all concerned", and everything is made out of love. I come from tech and science and have a reasonable understanding of of LLMs work. I find their claims to be pretty out there, much like my opinion about rest of the new age spirituality belief system to be rather baseless. I have no doubt that it helps many, but it's not for me. I kn
AI agents are quietly generating chaos engineering failures enterprises don’t track yet
There is a category of production incident that engineering teams are not tracking yet — because it doesn't fit any existing postmortem template. The agent initiated an action. The action was technically correct given the agent's context. The context was incomplete. The infrastructure cascaded. And, by the time the incident review happened, three teams were arguing about whether it was an agent failure or an infrastructure failure, because the frameworks for thinking about these two things have never been connected. The scale of this exposure is no longer theoretical. Seventy-nine percent of organizations now have some form of AI agent in production, with 96% planning expansion. Gartner predicts 33% of enterprise software will include agentic AI by 2028, but separately warns that 40% of those projects will be canceled due to poor risk controls. What neither statistic captures is the failure mode happening between those two numbers: Agents that are running, that are not canceled, an
The Memento problem in AI agents
TL;DR: I think a lot of agent failures are not really model failures. Agents are being asked to act from scattered, stale, and incomplete workspace data, so they end up guessing, stopping, or handing the work back to humans. My favorite movie is Memento. The movie revolves around Leonard, a man who suffers from anterograde amnesia and cannot form new memories. Throughout the film, he relies on photos, notes, tattoos, and instructions to understand what happened before, what matters now, and what he should do next. Every time Leonard acts, he is reconstructing the situation from whatever his past self left behind. The notes he creates act as the memory he cannot carry himself. They are how he connects the moment he is in to what happened before. That is increasingly how I think about AI agents. An agent can write, reason, summarize, search, use tools, draft emails, analyze data, and execute steps in a workflow. But every action it takes depends on the context surrounding that actio
Are AI agents actually saving you time or just creating more things to manage?
I've been seeing AI agents everywhere lately. Agents for sales, customer support, lead generation, research, scheduling, content creation—you name it. The demos always look impressive, but I'm curious about real-world experiences. For people actually using AI agents in their business: What tasks are they handling? How much time are they saving? Any unexpected problems? Interested in hearing what is genuinely working beyond the hype. submitted by /u/FounderArcs [link] [comments]
Using large language models [R]
Can LLMs be used to come up with a research topic that's worthwhile? Has anyone had good results in coming up with solid research ideas by chatting with an LLM? Maybe using Claude to review existing work and define the research topic. Thanks! submitted by /u/Lonely-Highlight-447 [link] [comments]
I was messing with agentic organizational strategies and came up with an automated starfish that solves social problems
Not a promotion because it's not for sale 😎 submitted by /u/Kootlefoosh [link] [comments]
Business & Industry
Santa Clara Lawsuit Tests Meta’s AI Ad Model And Governance Balance
Santa Clara County filed a civil lawsuit against Meta Platforms (NasdaqGS:META), accusing it of knowingly profiting from scam ads that use AI systems. The suit targets Meta's advertising practices and claims the company prioritizes revenue over user safety. Alleged victims include seniors and small businesses that were defrauded through sophisticated scam campaigns. The case seeks financial penalties and broad changes to how Meta screens and serves ads on its platforms. Meta Platforms, the...
Robotics
Smart Materials and the Rise of Ornithopters: on this episode of the Drone Radio Show!
Dr. Onur Bilgen, Associate Professor in the Department of Mechanical and Aerospace Engineering at Rutgers University. talks about the future of flapping wing drones, the role of smart materials in next-generation aircraft design, and how bioinspired engineering could influence the next wave of unmanned aviation innovation. Listen here: Dr. Onur Bilgen is Associate Professor in […] The post Smart Materials and the Rise of Ornithopters: on this episode of the Drone Radio Show! appeared first on DRONELIFE.