Suggest edit — flapping airplanes research directions

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---
first_captured: 2026-04-07
sources:
- sources/ideaflow/2026-04-07_possible-flapping-airplanes-directions.md
status: raw
tags:
- ai
- research
- training
- efficiency
title: flapping airplanes research directions
type: idea
updated: 2026-04-10
visibility: public
---

# 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.

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## timeline

- [2026-04-07] captured — five research directions for training efficiency