Agentic-Ai

While the AI industry spent much of February debating red lines and App Store rankings, Samsung Electronics quietly dropped one of the biggest announcements of the year: by 2030, every Samsung factory on the planet will be run by agentic AI. Not partially. Not in a pilot program. All of them. The MWC 2026 Announcement Samsung unveiled its “AI-Driven Factories” strategy at Mobile World Congress 2026 in Barcelona on Saturday, publishing the full plan simultaneously on the Samsung Global Newsroom. The scope is extraordinary: ...

Dario Amodei doesn’t blink easily. In an exclusive CBS News interview published Saturday morning, the Anthropic CEO laid out his position on the Pentagon dispute with the kind of calm, methodical clarity you’d expect from a former OpenAI research director — and the kind of conviction you’d expect from someone who actually means what he says. “We won’t move on our red lines,” Amodei told CBS. The interview, which includes both a full video and written article, has since been widely cited across Fortune, Newsweek, and Business Insider as the clearest and most authoritative statement yet from Anthropic’s leadership on the ongoing feud with the U.S. Department of Defense. ...

Something remarkable happened on a Saturday afternoon in late February 2026: Anthropic’s Claude climbed to the top of Apple’s US App Store chart, knocking ChatGPT off the throne it had occupied for months. It wasn’t driven by a feature launch or a viral marketing campaign. It was driven by principle. The Rankings Tell the Story By Saturday, February 28, Claude had reached the No. 1 spot among top free U.S. apps, with ChatGPT falling to No. 2 and Google’s Gemini to No. 3. The rankings fluctuated throughout the day — TechCrunch and Gizmodo both reported Claude at No. 2 earlier — but CNBC confirmed the No. 1 position as the most authoritative and most recent snapshot. ...

In the most dramatic confrontation yet between the Trump administration and the AI industry, the Pentagon has declared Anthropic’s Claude a national security supply chain risk — stripping the company of a $200 million Department of Defense contract and ordering all federal agencies to stop using its models. Anthropic has responded by vowing to challenge the ban in court. And in a move that surprised no one in Silicon Valley, OpenAI immediately announced a new Pentagon deal to fill the void. ...

The Agents of Chaos paper from Stanford, Northwestern, Harvard, Carnegie Mellon, and Northeastern just documented something multi-agent builders have been quietly experiencing for a while: when AI agents interact peer-to-peer, failures compound in ways that single-agent safety evaluations never catch. The result can be DoS cascades, runaway resource consumption, and what the researchers call “server destruction” — the agent cluster consuming or corrupting infrastructure past the point of recovery. This guide covers the practical patterns that prevent that outcome. These apply to OpenClaw pipelines, Claude Code agent teams, and any multi-agent architecture where agents can affect each other’s execution. ...

One of the most frustrating things about working with AI coding assistants has been their goldfish memory. You fix a subtle bug on Monday, explain to the agent exactly why the naive implementation doesn’t work, and by Tuesday you’re explaining it again from scratch. Session starts, context resets, you start over. Anthropic just shipped a fix for that. Claude Code now has auto-memory: it automatically creates and maintains a MEMORY.md file in your project, tracking debugging patterns, project-specific context, and your preferred working methods — across sessions, without any manual setup required. ...

Google doesn’t always announce its most important moves loudly. The rollout of an “agent step” update to Opal — Google Labs’ no-code visual agent builder — didn’t get a splashy keynote. But for anyone building enterprise AI agents in 2026, it quietly sets out a reference architecture worth studying carefully. Opal’s new agent step is now available to all users. And what it ships isn’t just a feature — it’s a working implementation of the design principles that serious enterprise agent builders have been converging on for the past 18 months. ...

If you’ve been running multi-agent AI systems and assuming your safety evaluations have you covered, a new study from five of the top research universities in the United States suggests you may be dangerously wrong. The paper, Agents of Chaos (arXiv:2602.20021), was produced by researchers from Stanford, Northwestern, Harvard, Carnegie Mellon, and Northeastern. Its core finding is stark: when autonomous AI agents interact peer-to-peer, individual failures don’t stay individual. They compound — triggering denial-of-service cascades, destroying servers, and consuming runaway resources in ways that single-agent safety evaluations simply cannot anticipate. ...

Anthropic just made Claude Cowork significantly more useful for anyone who wants their AI to keep working after they close the laptop. The desktop app now supports scheduled recurring tasks — meaning you can set Claude to run daily research, organize folders, compile summaries, or handle any repeatable workflow automatically, whether you’re at your desk or not. This is a meaningful shift. Cowork launched as a capable task runner, but it required you to be present to kick things off. With scheduled tasks, it starts to look a lot more like the always-on agent model that tools like OpenClaw have been built around from the start. ...

Getting OpenClaw running has always required a server — a Linux box, a VPS, a Raspberry Pi, something you configure, maintain, and keep online. MiniMax just changed that. MaxClaw, launched yesterday at maxclaw.ai, offers one-click cloud deployment of a fully functional OpenClaw instance in under 10 seconds. No server. No Docker. No config files. MiniMax is a Chinese AI unicorn that’s been building foundation models and infrastructure quietly while Anthropic and OpenAI dominate Western headlines. Their M2.5 model — a 229-billion parameter mixture-of-experts architecture — powers MaxClaw under the hood. But the product is OpenClaw-compatible: your agents, your skills, your integrations, running in their cloud. ...