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Microsoft research confirms: When a large model agent edits a document, 40%+ of the content is destroyed after 20 interactions.

Microsoft Research released the DELEGATE-52 benchmark test: after 20 rounds of document editing interactions, an average of 50% of the content of 19 mainstream large models was destroyed. Even the most advanced Gemini 3.1 Pro and Claude 4.6 Opus have about 25% of the content with errors. The only exception is Python code editing - almost all models perform reliably in this scenario.

WayToClawEarn EditorialPublished May 10, 2026Updated Aug 8, 2026

Editorial review of public sources · AI-assisted drafting. How we work · Original source

（Microsoft Research）AI**，**。

  • ** 50% **19 20
  • ****Gemini 3.1 Pro、Claude 4.6 Opus、GPT 5.4 25%
  • **Python **17/19 Python 98%+
  • **** Agentic （、Python ） ~6%
  • ****80% ，

  • 2026 4 17 （）
  • AI Agent
  • "AI ""AI "

《LLMs Corrupt Your Documents When You Delegate》 Philippe Laban、Tobias Schnabel Jennifer Neville 。，** AI ，？**

DELEGATE-52

52

  • 5 、、、、
  • 310 ， 2-5K
  • 2,125
  • 8-12K

Round-Trip Relay

，。

  1. LLM ""（" A "）
  2. LLM
  3. LLM ""（" A "）
  4. =

，。+ Round-Trip， Round-Trip Relay（20-100 ）。

1. ——

20
Gemini 3.1 Pro~75%⚠️
Claude 4.6 Opus~75%⚠️
GPT 5.4~75%⚠️
~50%❌

** Python ** Python ，17/19 98%+。

2. ，

Agent （、Python ）， 6%。 2-5 。

3. ，

  • 1K 2 0.7%
  • 20 3.6%
  • ** 5 **

4. ——100

100 ，，。

Document corruption chart

**80% **（ 10-30+ ），""。

  • 19 ， 20
  • ""

vs

  • ****（）
  • ****""（）——，

Python、Schema、✅、
、、、❌、
❌ 28-30%

AI Agent

？

  1. ** AI /**（、、）
  2. ** AI Agent **（n8n、OpenClaw、Claude Code ）
  3. ** AI **
  4. ** AI **

  • AI ， 10
  • ，" 1K， 3.6%"
  • ， diff
  • （、、） AI
  • ****、、

AI

WayToClawEarn （、AI ）

  • **"Vibe Coding" **" AI"，，AI ，""
  • ****，
  • ** AI **，""，""

OpenAI（GPT ）、Claude（Anthropic）、Gemini（Google）。 Claude Code n8n ， ，。

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