---
title: "Google: no measurable acceleration of AI research from AI yet"
url: https://www.parallelquant.com/posts/google-no-measurable-acceleration-of-ai-research-from-ai-yet-c9df82
source_name: "The Decoder"
source_url: https://the-decoder.com/google-says-self-improving-ai-isnt-anywhere-close/
published: 2026-10-14T19:18:44.000Z
topics: ["research", "llms"]
publisher: "Parallel Quant"
---

# Google: no measurable acceleration of AI research from AI yet

*2026-10-14 · Source: [The Decoder](https://the-decoder.com/google-says-self-improving-ai-isnt-anywhere-close/)*

Google engineer Haydn Belfield says DeepMind sees no measurable speedup in AI research driven by AI. AI writes over 75% of production code, but 88% of changes still need human oversight. Google's internal General Capability Index shows steady growth with no sudden jump.

**Why it matters:** Recursive self-improvement is a central assumption behind fast-takeoff forecasts and some of the safety alarm raised recently, such as the Anthropic study on self-replicating small models. Data from inside a frontier lab suggesting coding automation is not yet translating into faster research is a useful counterweight, though it is Google's own self-reported metric.

**Topics:** research, llms

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Read the original: https://the-decoder.com/google-says-self-improving-ai-isnt-anywhere-close/
Canonical: https://www.parallelquant.com/posts/google-no-measurable-acceleration-of-ai-research-from-ai-yet-c9df82
Published by Parallel Quant — https://www.parallelquant.com