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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.
The pope’s AI encyclical isn’t really about AI
Pope Leo calls for being ‘profoundly human’ in the age of AI
General AI
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
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]
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.
Missed the First AI Wave? These 3 Stocks Are Still Genius Picks
We're still in the early laps of the AI race.
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.
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.
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.
Scan any codebase in 3s, then verify what your AI builds
Article URL: https://github.com/anatomia-dev/anatomia Comments URL: https://news.ycombinator.com/item?id=48253446 Points: 5 # Comments: 0
The unlikely Vatican-Anthropic relationship that's reshaping AI ethics debate
Article URL: https://religionnews.com/2026/05/22/why-anthropic-is-helping-unveil-the-popes-new-encyclical-on-ai/ Comments URL: https://news.ycombinator.com/item?id=48252986 Points: 3 # Comments: 0
AI didn't kill your junior pipeline. You did
Article URL: https://andrewmurphy.io/blog/ai-didnt-kill-your-junior-pipeline-you-did Comments URL: https://news.ycombinator.com/item?id=48253237 Points: 8 # Comments: 2
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]
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
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]
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]
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]
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
Is NVIDIA still the default best choice for local LLMs in 2026?
submitted by /u/pmv143 [link] [comments]
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.
Bateschess – Chess Analytics Feeding Stockfish Evals into LLM's
Article URL: https://bateschess.com Comments URL: https://news.ycombinator.com/item?id=48253002 Points: 2 # Comments: 0