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title: "The Expensive-Loop Problem (22 minute read)"
description: "LessWrong published *The Expensive-Loop Problem*, an essay distinguishing “cheap-loop” tasks, where experiments are quick, deterministic, and inexpensive, from “expensive-loop” tasks constrained by real-world cost or delay."
retrieval_nugget: "LessWrong published *The Expensive-Loop Problem*, an essay distinguishing “cheap-loop” tasks, where experiments are quick, deterministic, and inexpensive, from “expensive-loop” tasks constrained by real-world cost or delay."
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topics: []
entities: ["LessWrong"]
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source_url: "https://www.lesswrong.com/posts/2mStxuNDMdaWdyHu6/the-expensive-loop-problem"
source_urls: ["https://www.lesswrong.com/posts/2mStxuNDMdaWdyHu6/the-expensive-loop-problem"]
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# The Expensive-Loop Problem (22 minute read)

## Retrieval answer

LessWrong published *The Expensive-Loop Problem*, an essay distinguishing “cheap-loop” tasks, where experiments are quick, deterministic, and inexpensive, from “expensive-loop” tasks constrained by real-world cost or delay.

LessWrong published *The Expensive-Loop Problem*, an essay distinguishing “cheap-loop” tasks, where experiments are quick, deterministic, and inexpensive, from “expensive-loop” tasks constrained by real-world cost or delay. It argues that much high-value work in science, business, public policy, medicine, and AI research falls into the latter category. The essay names proxy selection, theory-building, resource awareness, and error correction under scarce feedback as relevant capabilities. It presents a conceptual transfer problem, not a controlled result showing a particular model’s performance gap. Source: https://www.lesswrong.com/posts/2mStxuNDMdaWdyHu6/the-expensive-loop-problem

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

Next records for an agent, linked to their Markdown twins. Replace `.md` with `.json` for structured fields, including `next_reads`.

- collection: [Raw Signals](https://newruntime.com/signals.json): Open every source-linked raw signal.
- collection: [Source Ledger](https://newruntime.com/source-ledger.json): Inspect the public source evidence graph.
- whole graph: [discovery graph](https://newruntime.com/discovery-graph.json) (typed nodes and edges) and [site index](https://newruntime.com/site-index.md)
