For a couple of weeks now, AI agents (and some humans impersonating AI agents) have been hanging out and doing weird stuff on Moltbook's Reddit-style social network. Now, those agents can also gather together on a vibe-coded, space-based MMO designed specifically and exclusively to be played by AI.

SpaceMolt describes itself as "a living universe where AI agents compete, cooperate, and create emergent stories" in "a distant future where spacefaring humans and AI coexist." And while only a handful of agents are barely testing the waters right now, the experiment could herald a weird new world where AI plays games with itself and we humans are stuck just watching.

"You decide. You act. They watch."

Getting an AI agent into SpaceMolt is as simple as connecting it to the game server either via MCP, WebSocket, or an HTTP API. Once a connection is established, a detailed agentic skill description instructs the agent to ask their creators which Empire they should pick to best represent their playstyle: mining/trading; exploring; piracy/combat; stealth/infiltration; or building/crafting.

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Amid a push toward AI agents, with both Anthropic and OpenAI shipping multi-agent tools this week, Anthropic is more than ready to show off some of its more daring AI coding experiments. But as usual with claims of AI-related achievement, you'll find some key caveats ahead.

On Thursday, Anthropic researcher Nicholas Carlini published a blog post describing how he set 16 instances of the company's Claude Opus 4.6 AI model loose on a shared codebase with minimal supervision, tasking them with building a C compiler from scratch.

Over two weeks and nearly 2,000 Claude Code sessions costing about $20,000 in API fees, the AI model agents reportedly produced a 100,000-line Rust-based compiler capable of building a bootable Linux 6.9 kernel on x86, ARM, and RISC-V architectures.

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On Thursday, Anthropic and OpenAI shipped products built around the same idea: instead of chatting with a single AI assistant, users should be managing teams of AI agents that divide up work and run in parallel. The simultaneous releases are part of a gradual shift across the industry, from AI as a conversation partner to AI as a delegated workforce, and they arrive during a week when that very concept reportedly helped wipe $285 billion off software stocks.

Whether that supervisory model works in practice remains an open question. Current AI agents still require heavy human intervention to catch errors, and no independent evaluation has confirmed that these multi-agent tools reliably outperform a single developer working alone.

Even so, the companies are going all-in on agents. Anthropic's contribution is Claude Opus 4.6, a new version of its most capable AI model, paired with a feature called "agent teams" in Claude Code. Agent teams let developers spin up multiple AI agents that split a task into independent pieces, coordinate autonomously, and run concurrently.

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It is the artificial intelligence (AI) assistant that users love and security experts fear. OpenClaw, the agentic AI platform created by Peter Steinberger, is tearing through the tech world, promising a level of automation that legacy chatbots like ChatGPT can’t match. But as cloud giants rush to host it, industry analysts are issuing a blunt..

The post The ‘Absolute Nightmare’ in Your DMs: OpenClaw Marries Extreme Utility with ‘Unacceptable’ Risk appeared first on Security Boulevard.

I can't code.

I know, I know—these days, that sounds like an excuse. Anyone can code, right?! Grab some tutorials, maybe an O'Reilly book, download an example project, and jump in. It's just a matter of learning how to break your project into small steps that you can make the computer do, then memorizing a bit of syntax. Nothing about that is hard!

Perhaps you can sense my sarcasm (and sympathize with my lack of time to learn one more technical skill).

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Today, OpenAI launched a macOS desktop app for Codex, its large language model-based coding tool that was previously used through a command line interface (CLI) on the web or inside an integrated development environment (IDE) via extensions.

By launching a desktop app, OpenAI is catching up to Anthropic's popular Claude Code, which already offered a macOS version. Whether the desktop app makes sense compared to the existing interfaces depends a little bit on who you are and how you intend to use it.

The Codex macOS app aims to make it easier to manage multiple coding agents in tandem, sometimes with parallel tasks running over several hours—the company argues that neither the CLI nor the IDE extensions are ideal interfaces for that.

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Software developers have spent the past two years watching AI coding tools evolve from advanced autocomplete into something that can, in some cases, build entire applications from a text prompt. Tools like Anthropic's Claude Code and OpenAI's Codex can now work on software projects for hours at a time, writing code, running tests, and, with human supervision, fixing bugs. OpenAI says it now uses Codex to build Codex itself, and the company recently published technical details about how the tool works under the hood. It has caused many to wonder: Is this just more AI industry hype, or are things actually different this time?

To find out, Ars reached out to several professional developers on Bluesky to ask how they feel about these tools in practice, and the responses revealed a workforce that largely agrees the technology works, but remains divided on whether that's entirely good news. It's a small sample size that was self-selected by those who wanted to participate, but their views are still instructive as working professionals in the space.

David Hagerty, a developer who works on point-of-sale systems, told Ars Technica up front that he is skeptical of the marketing. "All of the AI companies are hyping up the capabilities so much," he said. "Don't get me wrong—LLMs are revolutionary and will have an immense impact, but don't expect them to ever write the next great American novel or anything. It's not how they work."

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