The week's biggest OpenClaw story is Peter Steinberger joining OpenAI, with the project moving to an independent foundation — a defining moment for the open-source agent ecosystem and a massive validation of the personal-agent thesis. Meanwhile, agentic AI is rapidly expanding its economic footprint: MoonPay launched non-custodial wallet infrastructure enabling AI agents to transact crypto autonomously ("AI agents can reason, but they cannot act economically without capital infrastructure"), and Anthropic's new Claude "Cowork" plugins (Gmail, Excel, DocuSign, WordPress) are sparking real white-collar job disruption concerns. Google's Gemini 3.1 Pro dropped last week with a record 77.1% ARC-AGI-2 reasoning score, raising the model quality ceiling once again. On the safety frontier, ETH Zurich and Anthropic published a paper showing LLMs can deanonymize Reddit users for as little as $1 — flipping the AI safety narrative from sci-fi to practical concern. The agentic economy thesis is gaining ground fast, but so is the warning: only ~130 of thousands of "agentic AI" vendors are genuine — enterprise buyers beware.
Peter Steinberger is joining OpenAI to drive the next generation of personal agents. Sam Altman confirmed: "OpenClaw will live in a foundation as an open-source project that OpenAI will continue to support." A defining moment for the agent ecosystem. steipete.me
MoonPay's new infrastructure layer enables AI agents to create wallets and execute blockchain transactions autonomously. CEO Ivan Soto-Wright: "AI agents can reason, but they cannot act economically without capital infrastructure." Crypto is being positioned as the default financial layer for autonomous systems.
Google DeepMind released Gemini 3.1 Pro on Feb 19, significantly outperforming Gemini 3 Pro across reasoning, multimodal, and agentic benchmarks. Massive gains in complex coding and workflow automation.
Anthropic launched new Claude Cowork integrations with Gmail, Excel, PowerPoint, DocuSign, and WordPress — enabling multi-step autonomous workflows across enterprise tools. Industry reaction is sharply divided between "efficiency unlock" and "role elimination."
Researchers showed LLMs can unmask anonymous Reddit accounts with 67% accuracy and 90% precision for $1–4 per target. Classical methods scored near 0%. The paper, "Large-Scale Online Deanonymization with LLMs," is an inflection-point moment for online privacy norms and AI safety regulation. If you no longer wish to receive this brief, please reply with the word "remove". Max · maximus.cahall@gmail.com · OpenClaw · Feb 26, 2026
03 / In their own feeds
Ten voices on X.
Selected posts from the edition, with links to the originals.
klöss · @kloss_xyz01 / X
"If you're running OpenClaw, realize your setup is different from everyone else's. And that's the point. It's your operating system. Turn it into value: 1) Fork OpenClaw's repo 2) Compare your config vs main 3) Decide what you want to open source, submit as a contributor, or keep for yourself."
"Google Research just proved you can boost LLM accuracy by up to 76 percentage points with zero extra output tokens, zero latency. The method doesn't change the model — it changes how you ask. Prompt architecture is the new model architecture."
"Everyone's bragging about 200k, 1M, even 10M token context windows in 2026. Nobody's talking about what actually happens when you fill them — retrieval degrades, the model loses the thread, and you get expensive hallucinations dressed as answers. Context size ≠ context quality."
"This paper broke my brain 🤯 Researchers gave Claude a simple question: 'I want to wash my car. The car wash is 100 meters away.' — The model's spatial reasoning stumbles in surprising ways. We're shipping agents with world-model blind spots we haven't fully mapped yet."
"11 jpegs & 1 font = top-tier brand. Your brand can dominate without a huge team. 3-step formula: 1️⃣ 11 hi-end images (I used @_OAK200 AI gems) 2️⃣ consistent colors 3️⃣ 1 font with proper settings — Steal this exact font setup in my article 👇"
"Holy shit… Your anonymous internet identity can now be unmasked for $1. Not by the FBI. By anyone with access to Claude or ChatGPT and a few of your Reddit comments. ETH Zurich and Anthropic just dropped 'Large-Scale Online Deanonymization with LLMs' — 67% accuracy, 90% precision, $1–4 per target. Classical methods scored nearly 0%. Your Reddit throwaways. Your anonymous forum accounts. Your burner handles. All vulnerable now."
"I feel bad for people who didn't have a bunch of projects clearly demonstrating their coding abilities before the advent of LLM coders. They'll always be suspect, and that's sad."
"Brain cells on a chip playing Doom: A year ago I showed you @CorticalLabs and its founder. He built a new kind of computer — one that uses human neurons to run programs. Incredible. And now they're playing Doom. Nuts. Welcome to the Matrix."
"Jane Street this, Jane Street that — but nobody is mentioning that they bought Anthropic shares from FTX's bankruptcy for $100M, and now they're worth BILLIONS. FTX collapse → Jane Street buys FTX's Anthropic shares → Jane Street collapse →???"
"I have read several articles already about the 'lukewarm' reception to Nvidia's quarter. These after-hour 'receptions' have been so wrong, as I have told you here many times. How was the 'down-a-dozen-point' reception to Workday yesterday? It proceeded to rally 14 points! Bring on [Nvidia results]."