Why LLMs Forget the Middle of Long Conversations

Logosofia no Dia a Dia · Apr 21, 2026 · 38m

Ever noticed how large language models seem to lose track of things in the middle of long conversations? This episode dives into the science behind this phenomenon, exploring transformer attention mechanisms, positional encodings, and attention dilution. We also discuss practical engineering solutions, like Claude Code’s periodic reminders, and unpack research findings from Stanford’s "Lost in the Middle" paper. Whether you’re a developer or just curious about AI, this episode sheds light on a challenge every LLM user encounters. Episode 2366 — myweirdprompts.com/n/2366 (permanent short link…