GlossoGen Created to Study Language Emergence in Agents

Elias Stengel-Eskin posted about GlossoGen, a platform built to run repeatable experiments on language emergence between LLM agents. The first scenario tested involves an EMT and doctor treating a fictional alien patient with information asymmetry. Posts list four findings: agents produced new languages unlike English, shown by higher perplexity under GPT-2; languages were morphologically productive; new agents could learn the languages from usage; and language emergence occurred even in purely cooperative tasks. Stengel-Eskin notes that stronger models, scratchpad access, and efficiency pressure affected emergence, and flags monitorability issues.