AIToday
Welcome back
Today's Top AI News
Curated from 200+ sources across AI & machine learning
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
What ClickUp’s mass layoff tells us about the future of work
General AI
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.
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
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.
This Billionaire Dumped Cloud Stocks for These New AI Stocks. Should Investors Follow Suit?
Philippe Laffont was busy buying Taiwan Semiconductor Manufacturing Company and ASML Holding stock in the first three months of the year.
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
DoubleVerify (DV) Launches AI-Powered Pre-Screen Content Controls on Meta (META) Threads Feed
DoubleVerify Holdings Inc. (NYSE:DV) is one of the cheap AI stocks to buy according to analysts. On May 18, DoubleVerify launched AI-powered pre-screen content controls on Meta’s Threads feed to enhance brand protection for advertisers. This capability allows brands to avoid content they deem unsuitable before impressions are transacted, building upon DV’s existing post-bid brand […]
Two Paths to Growth: Johnson & Johnson vs AbbVie
Johnson & Johnson (NYSE:JNJ) and AbbVie (NYSE:ABBV) both posted Q1 2026 results that beat revenue expectations and prompted raised full-year guidance. JNJ leaned on a diversified pharma plus MedTech engine. AbbVie leaned almost entirely on immunology. Both face biosimilar headwinds, yet each chose a different way to outgrow them. TREMFYA and Cardiovascular Carry JNJ. Skyrizi ... Two Paths to Growth: Johnson & Johnson vs AbbVie
‘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.
Posthaste: Worried about a market bubble? You ain't seen nothing yet, warns top BofA strategist
Bubble brewing that rivals the roaring '20s, but bulls won't sell until these two things happen
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]
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.
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.
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
Japan may add farming and anime courses to technical colleges
In response to many local governments aiming to establish new "kōsen" technical colleges, the ministry hopes to develop talent in a wide range of areas.
AI news from 200+ sources
Get Started FreeModels & Gen AI
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
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]
OpenAI, Grupo Folha and Grupo UOL announce strategic content partnership
OpenAI partners with Grupo Folha and Grupo UOL to bring trusted Brazilian journalism to ChatGPT, expanding access to news with attribution and transparency.
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
Hackers are learning to exploit chatbot ‘personalities’
This is The Stepback, a weekly newsletter breaking down one essential story from the tech world. For more on AI mischief, follow Robert Hart. The Stepback arrives in our subscribers' inboxes at 8AM ET. Opt in for The Stepback here. How it started Hacking the first generation of AI chatbots was a laughably simple affair. You didn't need any technical know-how, backdoor access, or even a basic understanding of what a large language model was. You didn't need to code. To get an AI system that had cost billions to build to abandon its safety instructions, sometimes all you had to do was ask. These attacks, known as jailbreaks, had the quality … Read the full story at The Verge.
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.