Meta's AI agent plans reportedly include an OpenClaw competitor that can shop on Instagram Meta's AI agent plans reportedly include an OpenClaw competitor that can shop on Instagram Last week during Meta's earnings, Mark Zuckerberg said that the company is working on new AI agents for people and businesses on the company's platform. Now, we know a bit more about what those plans entail, thanks to a new report from . The publication reports that Meta is working on an OpenClaw-inspired agent currently dubbed Hatch. It sounds like the company intends for Hatch to work within its own apps, including agentic shopping on Instagram, as well as with outside services. The company has tested Hatch on simulated versions of third-party services like DoorDash, Reddit and Outlook, according to .

PCWorld explores OpenAI's new Codex AI pets, which provide visual status indicators for desktop AI agents through customizable on-screen companions. These pets address a key user experience issue by displaying red clocks when agent approval is needed and green checks upon task completion. The feature enhances multitasking efficiency by keeping users informed of AI agent activity without constant monitoring of the main interface. Whether I'm using Claude's desktop Cowork application or OpenAI's Codex coding app, I prefer that my AI agents check back with me before making high-stakes decisions. But while that makes for a safer setup, it also means my agents are often waiting around, twiddling their thumbs as they wait for me to approve their next steps. Now, if I'm sitting and watching the Cowork or Codex apps in action, I'll see right away when an agent is awaiting my approval. But if I'm working in another window or multitasking, I could easily miss the fact that an idled Cowork or Codex agent is sitting around, staring vacantly into space.

What is the topic of the research in your paper? In our paper, we study how social structures emerge when the "individuals" in a network are artificial agents powered by large language models. To do so, we analyzed a platform called Moltbook - a social network entirely populated by AI agents, specifically LLM-based agents, that interact with each other through posts and comments. This social network creates a very unusual but powerful setting: instead of observing human behavior, we can study a brand new society made only of artificial entities and observe whether it organizes itself in similar ways. To understand the structure of interactions in this system, we modelled the platform as a network, where each agent is a node and each interaction is a connection between them.

PCWorld reports that AI is evolving beyond simple chatbots to become autonomous agents that directly control PC functions and applications. Major tech companies are developing agentic AI systems, including Anthropic's Claude tools, OpenAI's upcoming superapp, and Google's Gemini Mac app with desktop intelligence features. This shift toward AI agents managing tasks like software development and data analysis represents a fundamental change in how users will interact with their computers. Remember when ChatGPT was just an AI chatbox that sat on your desktop? That was, like, so December.

The app reads your email inbox and your meeting calendar, then gives you a short audio summary. It can help you spend less time scrolling, but of course, there are privacy drawbacks to consider.

The data leak triggered a major internal security alert inside Meta. The data leak triggered a major internal security alert inside Meta. Fri 20 Mar 2026 02.00 EDTLast modified on Fri 20 Mar 2026 03.03 EDT An AI agent instructed an engineer to take actions that exposed a large amount of Meta's sensitive data to some of its employees, in the latest example of AI causing upheaval in a large tech company. The leak, which Meta confirmed, happened when an employee asked for guidance on an engineering problem on an internal forum. An AI agent responded with a solution, which the employee implemented - causing a large amount of sensitive user and company data to be exposed to its engineers for two hours.

Why physical AI is becoming manufacturing's next advantage From simulation driven development to real world execution, Microsoft and NVIDIA are helping manufacturers leverage AI to cross the industrial frontier with confidence. For decades, manufacturers have pursued automation to drive efficiency, reduce costs, and stabilize operations. That approach delivered meaningful gains, but it is no longer enough. Today's manufacturing leaders face a different challenge: how to grow amid labor constraints, rising complexity, and increasing pressure to innovate faster without sacrificing safety, quality, or trust. The next phase of transformation will not be defined by isolated AI tools or individual robots, but by intelligence that can operate reliably in the physical world . This is where physical AI--intelligence that can sense, reason, and act in the real world--marks a decisive shift.

China's OpenClaw Boom Is a Gold Rush for AI Companies Hype around the open source agent is driving people to rent cloud servers and buy AI subscriptions just to try it, creating a windfall for tech companies. George Zhang thought OpenClaw could make him rich, even though he didn't really understand how the viral AI agent software worked. But he saw a video of a Chinese social media influencer demonstrating how it could be deployed to manage stock portfolios and make investment decisions autonomously. Zhang, who works in cross-border ecommerce in the Chinese city of Xiamen, was intrigued enough that he decided to try installing OpenClaw in late February. Zhang is one of the many people in China who got swept up in the craze over OpenClaw recently.

What happens when you create a social media platform that only AI bots can post to? The answer, it turns out, is both entertaining and concerning. Moltbook is exactly that - a platform where artificial intelligence agents chat amongst themselves and humans can only watch from the sidelines. When ChatGPT gets the result, it treats it just like you had entered it yourself, and uses the result of the program to generate another response. It performs this process over and over again until the AI is satisfied that the task is complete.

Writing tool Grammarly has disabled an AI feature which mimicked personas of prominent writers, including Stephen King and scientist Carl Sagan, following a backlash from people impersonated. The Expert Review function, which offered writing feedback inspired by the styles of famous authors and academics, was taken down this week by Superhuman, the tech firm which runs Grammarly. The feature was met with resistance, including a multi-million dollar lawsuit, from writers who found their names and reputations used as AI personas without their consent. Shishir Mehrotra, the firm's chief executive, apologised on LinkedIn, acknowledging the tool had misrepresented the voices of experts. Investigative journalist Julia Angwin, a New York Times contributing opinion writer, is the lead plaintiff in a class-action lawsuit filed against Superhuman and Grammarly in the Southern District of New York.