Skip to main content

Posts

Showing posts with the label stigmergy

Variance in Research; Manual Agent Orchestration - LLM Lab Book 2026-07-02

 More instances of variance in research results, this time around Isidore Nobel. Also, saving tokens by keeping conversations short. Missing Isidore Nobel This was probably due to a misspelling on the British manifest of Nobel's last name as Noble. The U.S. manifest has it as Nobel.  Another midweek usage reset I would say this was caused by the introduction of fable yesterday, but my usage numbers didn't reset until late last night. Yesterday, my limits were at about 21% and set to renew on Saturday. What do ticket number clusters reveal in the sorta solved Hedy Lamarr mystery? First, an update. Hedy Lamarr aka Hildegard Mandl is present on the English version of the manifest. You might remember she is not present on the United States side. No answers yet as to why. However, the English manifest has ticket numbers and people traveling together seem to have similar ticket numbers, so this is a reminder to look for something there. Why we sometimes want substrate-mediated pro...

LLM Agent Research Protocol for Avoiding Stigmergy - a Lab Notebook Entry

 I'm working through a methodology to study the behavior of teams of agents via observation of real-world tasks. As usual with LLMs, the concept of repeatable results is squishy, especially as compared to non-LLM deterministic computing. My finding last week was that LLM agents, especially Claude (per Google's research), can exhibit stigmergic , (a fancy word for how insects, like ants, 'learn' where important locations are from other insects), learning and behavior. In short, agents given the exact same instructions, (prompts), can and often times will exihibit different behaviors if they can see the results of the work of other agents. If you want to study the variance in the behavior of an LLM agent over multiple runs, this stigmergic behavior has to be accounted for. Otherwise, we're not measuring the behavior of an LLM agent with a set of inputs and prompts. With stigmergic behavior, if we're not careful, we're observing the behavior of a community of ...