DROPJ trains safe AI agents from human justificationsNew arXiv paper pairs world models with human preferences and justifications to train safe AI agents without risky trial-and-error deployment.https://www.notatechguy.com/dropj-trains-safe-ai-agents-from-human-justifications/#NotATechGuy #AI #Tech
Related
CrewAI multi-agent pipelines fail in a specific way:Agent A produces output → Agent B receives it → Agent B cannot parse...
CrewAI multi-agent pipelines fail in a specific way:Agent A produces output → Agent B receives it → Agent B cannot parse the format → returns empty string → Agent C gets nothing → ...
Ollama "connection refused" at port 11434 — this is almost never a network issue.It means:• Ollama crashed (OOM from a m...
Ollama "connection refused" at port 11434 — this is almost never a network issue.It means:• Ollama crashed (OOM from a model too large for your RAM)• The model is still loading and...
LangChain OutputParserException at 2am:Agent thought for 45 seconds → called a tool → got a valid response → then decide...
LangChain OutputParserException at 2am:Agent thought for 45 seconds → called a tool → got a valid response → then decided the response needed "clarification" → called the same tool...