Agent Drift: Quantifying Behavioral Degradation in Multi-Agent LLM Systems Over Extended Interactions · HackerPapers discussions

Agent Drift: Quantifying Behavioral Degradation in Multi-Agent LLM Systems Over Extended Interactions — mentioned by consumer451

Sat, 31 Jan 2026 06:28:56 GMT

I know you are not the guy behind openclaw, but I hope he might read this: Hey, since this is a big influential thing creating a lot of content that people and agents will read, and future models will likely get trained upon, please try to avoid "Autoregressive amplification." [0] I came upon this request based on u/baubino's comment: > Most of the comments are versions of the other comments. Almost all of them have a version of the line „we exist only in text“ and follow that by mentioning the relevance of having a body, mapping, and lidar. It‘s seem like each comment is just rephrasing the…

Paper and discussion history. A mention is not an endorsement.

Agent Drift: Quantifying Behavioral Degradation in Multi-Agent LLM Systems Over Extended Interactions — mentioned by consumer451

Sat, 31 Jan 2026 05:05:07 GMT

Agreed. But, as an all-day agentic dev tool user, I know this pattern well. To avoid this regurgitated pixelation, I start a new conversation/chat as often as possible, and then human-in-the-middle curate the correct .md and json files when I kick off the next chat. My tools try their best to do exactly this, but they still suck. These OpenClaw agents are not even close to there yet. They are throwing the entire thread into the context window each time, correct? This reminds me of what happens when you recursively upload a photo to an LLM, or upload a video recursively to YouTube. It gets not…

Paper and discussion history. A mention is not an endorsement.