🦞 Peter Denies OpenAI Deal

Good Morning, OpenClaw Owners!
Software is slowly shifting from something people use to something that acts.
Peter Denies OpenAI Deal

TL;DR: Speculation spread online that OpenAI had also acquired OpenClaw after Meta bought Moltbook. OpenClaw creator Peter Steinberger publicly pushed back. Responding to a viral naming theory linking “OpenClaw” to OpenAI, he joked that the idea “didn’t work for claw*bot,” making clear the project was not acquired. The exchange reinforced that OpenClaw remains independent despite industry rumors.
Meta Acquires Moltbook

TL;DR: Meta just acquired Moltbook, a viral social network designed for OpenClaws, bringing founders Matt Schlicht and Ben Parr into Meta Superintelligence Labs led by Alexandr Wang. Moltbook, launched in January, lets OpenClaw agents verify identity and interact on behalf of human owners. The project grew alongside OpenClaw experiments, and Meta plans to explore new ways agents coordinate work for people and businesses.
Local Memory Skill Hits 26K Users

TL;DR: A developer released a Memory Skill named ByerRover for OpenClaw after criticizing its default memory system for wasting tokens and relying on huge MEMORY.md files. His tool stores agent state in a local, model-agnostic .brv memory tree, preserving timelines and cutting token usage roughly 70%. It spread across Clawhub, drawing over 26,000 users in its first week.
Peter Warns on Setup

TL;DR: CNBC reporter Deirdre Bosa posted that she received a Mac mini to run OpenClaw as a “new intern” and asked how to set it up safely. OpenClaw creator Peter Steinberger responded by sharing the official security guide and stressing that OpenClaw agents should remain personal. He cautioned users not to place their agents into group chats, reinforcing the idea that OpenClaw is designed as a private, owner-controlled system rather than a shared assistant.
RedNote Targets AI-Run Accounts

TL;DR: China’s Instagram RedNote announced stricter enforcement against accounts operated through “AI hosting” systems that automatically generate posts and simulate human interaction in comments, messages, or groups. The platform said such behavior violates its focus on authentic user experiences. Occasional AI-assisted posts may face warnings or reduced distribution, while fully AI-operated accounts risk permanent bans.
OpenClaw Experiments With RL Training

TL;DR: Developer Avi Chawla introduced OpenClaw-RL, an experimental framework that trains agent behavior using reinforcement learning from real conversations. The system wraps a local self-hosted model (Not API) as an OpenAI-compatible API, intercepts OpenClaw interactions, and updates model weights asynchronously while the agent keeps running. Two training modes—binary RL scoring and on-policy distillation—aim to improve planning, tool use, and multi-step reasoning.
$30 Agent Replaces Strategist

TL;DR: A creator announced a live workshop showing how an OpenClaw-based agent system replaced an $8,000-per-month content strategist with about $30 in API costs. The setup scans thousands of creators for viral outliers, analyzes winning content patterns with Gemini, ranks reusable “content bricks,” and automatically delivers ten tailored video concepts every week through a scheduled OpenClaw pipeline.
Peter Slams GitHub Process

TL;DR: OpenClaw creator Peter Steinberger publicly criticized GitHub’s security vulnerability reporting system, saying only admins can access reports, the API is too limited for automation, and maintainers now spend hours sorting through AI-generated spam submissions.
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