🦞 Anthropic Overplays Mythos Risk
Good Morning, OpenClaw Owners!
Turns out “too dangerous to release” is a weird way to spell “we need more GPUs.”
Anthropic Overplays Mythos Risk
TL;DR: UK AISI tests found OpenAI’s public GPT-5.5 nearly matched Anthropic’s restricted Mythos Preview on cybersecurity tasks, scoring 71.4% versus 68.6% and joining Mythos as the first models to breach AISI’s simulated enterprise network test. The result makes Anthropic’s “too dangerous to release” line look overplayed; a GPU shortage is not a safety doctrine. Read more →
OpenClaw 5.3 Just Dropped
TL;DR: OpenClaw v2026.5.3 adds file transfer for paired nodes, improves live agent control with /steer and /side, hardens plugin installs/updates, and ships another round of channel, doctor, upgrade, usage, and session fixes.
Highlights from this release:
- 📁 File transfer for paired nodes
- 🧭 /steer+ /side for live agent control
- 🔌 Hardened plugin installs / updates
- 🛠️ Channel + upgrade fixes
- 💬 WhatsApp Channels / Newsletters as explicit outbound targets
- 🔍 Safer web fetch / search / provider routing
- ⚡ Lighter usage + session views
This release is mostly about making long-running agents easier to control while reducing upgrade and channel weirdness.
File transfer is the big new primitive here, but /steer also matters a lot: you can nudge an active run without starting a new turn or derailing the session. Read more →
Couch-Run Agents Team
TL;DR: A shared founder case shows someone quitting his job, building an AI SaaS alone, and reaching $12k MRR within six days of launch. His “team” was two devices running AI agents: one built features, the other reviewed PRs, ran tests, checked security, and blocked bad code. The signal is brutal: solo founders can now assemble engineering leverage before hiring humans. Read more →
AI Gets More Budget
TL;DR: Layoffs.fyi data shows that tech companies announced 81,747 layoffs in Q1 2026, up 580% in months. The signal is blunt: while AI capex and automation budgets keep rising, human headcount is being cut, turning the AI boom into a labor compression story. Read more →
AI Marketing Workflows Get Engineered
TL;DR: AI marketing operator Shann Holmberg shared a four-step path for becoming an AI Marketing Engineer: prototype workflows in OpenClaw, run real tasks, let corrections become reusable skills, then move stable flows into Claude Code/Codex for scripting, routing, cron, and failure handling. Compared with traditional campaign ops, this turns repeatable judgment into scalable infrastructure. Read more →
Phone-Built Marketing Agents
TL;DR: GrowthX Club CEO Udayan Walvekar shared a case about PB Teja, an OpenClaw core developer who hated marketing and built Mission Control HQ on his phone during India’s AI Festival in Goa. The agent team automated marketing work, went viral, and reportedly made $15,000 in three days, showing how solo builders can productize their own bottlenecks. Read more →
Hyperscalers Spend Like Nations
TL;DR: Morgan Stanley raised 2.5% of its capex forecast again for Amazon, Alphabet, Meta, Microsoft, and Oracle, expecting about $805 billion this year and $1.1 trillion next year. Their 2026 spending alone could match all non-tech S&P 500 companies’ 2025 capex combined, showing AI infrastructure has become a nation-scale arms race. Read more →
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