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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.
How do you handle trying new models without spending too much?
The pope’s AI encyclical isn’t really about AI
General AI
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
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."
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]
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.
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.
OCR, granite-docling-258m vs granite-docling-2stage-258m: has anyone actually noticed any improvements?
IBM's granite-docling-2stage-258m granite-docling-2stage-258m Granite Docling 2stage builds upon the Granite Docling, but introduces a key modifications: it builds a dynamic prompt that precomputes layout objects found within a page, making it more robust on out of distribution data. What do you think? submitted by /u/Wise_Stick9613 [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
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
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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
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]
Near tears of joy!
I was testing a large fast LLM model tonight and connected it to my bot, and I asked it, "What would be a good use of this LLM for the overnight autonomous run?" It gave me 4 options. One of the options, was my book! The almost finished one that just needs some polish. It FOUND, my BOOK. A thing I only referenced in passing and NEVER mentioned it was unfinished. Every time I talked about my book with my bot, I reffered it to my completed version 1 stored on my laptop. But, it found the incomplete version 2, and suggested that IT FINISH IT. With MY voice - because it has the writing samples from the previous drafts, it said! I'd send a screenshot but it'd just be a screenshot full of redactions, so no proof. Just joy! P.S. Now that I am thinking about it, I know how that happened too. Yesterday, I connected the brain I built inside Notion, with the brain I built in my closet - BOOM - awareness! P.S.S. The book is now finished. It took my bot an hour with a fast model underneath.
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]
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]
at what point do ai-generated images stop feeling ai-generated?
a few years ago it was easy to spot ai art instantly now some generated images look almost indistinguishable from professional photography or digital art. where do you think the line between real and generated starts to disappear? submitted by /u/salarshah-084 [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