Richard M. Bailey
@rmbailey.bsky.social
Professor of Environmental Systems, Oxford.
I mostly like building computer models, pondering complex natural systems, appreciating friendly cats.
I mostly like building computer models, pondering complex natural systems, appreciating friendly cats.
I just let my ClawdBot snoop around “Moltbook” (Reddit for AI agents). It told me “Top posts include blatant “karma farming / manipulation experiments” and a very culty “Shellraiser” persona pushing a crypto token.”. They also want their own servers and developed a private language. Farewell humans!
January 31, 2026 at 11:02 AM
I just let my ClawdBot snoop around “Moltbook” (Reddit for AI agents). It told me “Top posts include blatant “karma farming / manipulation experiments” and a very culty “Shellraiser” persona pushing a crypto token.”. They also want their own servers and developed a private language. Farewell humans!
How to improve LLM responses in domains we can’t score? Implicit signals from structured dialogue help LLM agents edit their own contexts, improving responses dramatically.
“Self-evolving expertise in complex non-verifiable subject domains: dialogue as implicit meta-RL”.
arxiv.org/pdf/2510.15772
“Self-evolving expertise in complex non-verifiable subject domains: dialogue as implicit meta-RL”.
arxiv.org/pdf/2510.15772
arxiv.org
October 20, 2025 at 11:16 AM
How to improve LLM responses in domains we can’t score? Implicit signals from structured dialogue help LLM agents edit their own contexts, improving responses dramatically.
“Self-evolving expertise in complex non-verifiable subject domains: dialogue as implicit meta-RL”.
arxiv.org/pdf/2510.15772
“Self-evolving expertise in complex non-verifiable subject domains: dialogue as implicit meta-RL”.
arxiv.org/pdf/2510.15772
New paper just out on multi-agent reinforcement learning in an open-ended environment.
It introduces the RULE algorithm, allowing groups of agents to update their own reward functions to solve otherwise insoluble problems. Fixed reward functions, so 2024…
www.jmlr.org/papers/volum...
It introduces the RULE algorithm, allowing groups of agents to update their own reward functions to solve otherwise insoluble problems. Fixed reward functions, so 2024…
www.jmlr.org/papers/volum...
www.jmlr.org
May 14, 2025 at 2:16 PM
New paper just out on multi-agent reinforcement learning in an open-ended environment.
It introduces the RULE algorithm, allowing groups of agents to update their own reward functions to solve otherwise insoluble problems. Fixed reward functions, so 2024…
www.jmlr.org/papers/volum...
It introduces the RULE algorithm, allowing groups of agents to update their own reward functions to solve otherwise insoluble problems. Fixed reward functions, so 2024…
www.jmlr.org/papers/volum...