AIToday
Welcome back
Today's Top AI News
Curated from 200+ sources across AI & machine learning
Rotaku launches Domo humanoid robot platform starting at $2,999 for developers
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: […]
Nvidia Earnings, The AI Stack, Nvidia’s New Reporting
Anthropic Deal Puts New Focus On Palantir’s Enterprise AI Edge
General AI
South Korea aims to launch first nuclear-powered submarine by mid-2030s
The move could reshape Asia's security landscape and escalate an underwater arms race.
US Law Enforcement Warns of ‘Anti-Tech Extremism’ as AI Hatred Grows
As Americans stew over the looming risk of job-stealing AI and data centers in their back yards, the feds are raising the alarm about a new category of threat, documents obtained by WIRED show.
It’s time to address the looming crisis in entry-level work
Artificial intelligence has not so far produced a clean story of mass unemployment. Aggregate employment in developed countries remains broadly stable, and recent assessments have found limited evidence that AI has shifted the headline numbers. But a troubling change may be hiding beneath the surface: the quiet weakening of the first rung of the career…
A reality check on the AI jobs hysteria
Haven’t you heard? White-collar jobs are going away, decimated by AI. Waves of layoffs in the tech sector (most recently at Coinbase and Meta and Cisco) are said to presage what will soon come for all of us knowledge workers. But before you quit your job as a software developer or financial analyst—or tech journalist—and…
Imai combines with relievers for MLB’s first no-hitter since 2024
Tatsuya Imai (2-2) walked four batters and struck out two over a career-high six innings.
AI just minted 19 new billionaires worth $59 billion
Money has a way of finding the people building tomorrow's tools before the rest of us notice. That was true in the dotcom boom, in the smartphone era, and again in the social media land grab a decade later. The AI boom looks different, at least so far. For the last three years, almost every story ...
The 25-year-old founder, who recently acquired South Korea's Alquimista Media, is building a billion-dollar next-generation AI film studio
Former Google engineer Cecilia Shen co-founded Utopai with the aim of tackling the challenge of generating long-form AI content. Now, this first Hollywood AI film mogul is building a billion-dollar studio. With projects in development and strong performance projections for 2026, this high price tag also signals Utopai's strong leadership in the Hollywood AI race.
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.
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.
Missed the First AI Wave? These 3 Stocks Are Still Genius Picks
We're still in the early laps of the AI race.
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
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.
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.
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
AI news from 200+ sources
Get Started FreeModels & Gen AI
Uber president says AI spending is getting ‘harder to justify’
Uber president Andrew Macdonald (pictured) says its “hard to draw a line” between AI spending and deliverable features. | Photo: Zed Jameson/Bloomberg via Getty Images After reportedly exhausting its annual AI budget just four months into 2026, Uber is now questioning whether it's actually seeing meaningful returns on its investments. In an interview with Rapid Response, Uber president and chief operating officer Andrew Macdonald said the company isn't seeing a connection between rising token consumption for Claude Code and more useful features being delivered to consumers. "That link is not there yet, right? I think maybe implicitly there is more that is getting shipped, but it's very hard to draw a line between one of those stats and, 'Okay, now we're actually producing 25 percent more useful consumer f … Read the full story at The Verge.
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
Arm Holdings targets AI data centers with its new AGI CPU, betting agentic AI workloads will drive demand for Arm-based infrastructure.
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
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.