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+---
+type: idea
+title: flapping airplanes research directions
+tags: [ai, research, training, efficiency]
+status: raw
+first_captured: 2026-04-07
+updated: 2026-04-10
+sources:
+ - sources/ideaflow/2026-04-07_possible-flapping-airplanes-directions.md
+---
+
+# flapping airplanes research directions
+
+possible research directions in AI training efficiency: adaptive computation / inference-time scaling (easy inputs get fewer FLOPs), layer-skipping architectures, "nice collocation methods" (cleverly coupling architecture, training dynamics, and data sampling), training curriculums for efficacy (easier examples first, gradually increasing difficulty), and reworking pretraining data selection/transformation so models learn more from less.
+
+connects to the [[llm-physical-intuition|LLM physical intuition]] research and to the broader [[llm-behavior-improvement|LLM behavior improvement]] interest.
+
+---
+
+## timeline
+
+- [2026-04-07] captured — five research directions for training efficiency