AI agents usually throw away valuable feedback from everyday interactions. Princeton's new OpenClaw-RL framework changes that by turning live signals from chats, terminal commands, and GUI actions into continuous training data. The researchers say just a few dozen interactions are enough for noticeable improvements.<br /> The article OpenClaw-RL trains AI agents "simply by talking," converting every reply into a training signal appeared first on The Decoder. [...]
The viral fervor we saw earlier this year around OpenClaw, the open source AI harness that turns powerful language models into autonomous workers the user can message via their favorite channels (Tele [...]
Your developers are already running OpenClaw at home. Censys tracked the open-source AI agent from roughly 1,000 instances to over 21,000 publicly exposed deployments in under a week. Bitdefender’s [...]
Google caused controversy among some developers this weekend and today, Monday, February 23rd, after restricting their usage of its new Antigravity "vibe coding" platform, alleging "mal [...]
The chatbot era may have just received its obituary. Peter Steinberger, the creator of OpenClaw — the open-source AI agent that took the developer world by storm over the past month, raising concern [...]
An attacker embeds a single instruction inside a forwarded email. An OpenClaw agent summarizes that email as part of a normal task. The hidden instruction tells the agent to forward credentials to an [...]
For the past two years, the technology industry has raced to make AI agents more capable — teaching them to write code, navigate software interfaces, manage files, and orchestrate multi-step workflo [...]
OpenClaw, the open-source AI assistant formerly known as Clawdbot and then Moltbot, crossed 180,000 GitHub stars and drew 2 million visitors in a single week, according to creator Peter Steinberger. S [...]