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# “1/9 In the Gemini 4 Argon Safety & Security Report, we published our first holistic…”

Haydn Belfield (@HaydnBelfield), X, 2026-10-14.
Source: https://x.com/HaydnBelfield/status/2110394773521498535

## Archived text

> 1/9 
> In the Gemini 4 Argon Safety & Security Report, we published our first holistic empirical assessment of ML R&D automation and acceleration inside Google DeepMind — combining capability benchmarks, a macro capability index, data on AI-written code and trajectory outcomes, and a survey of senior frontier researchers.
> 
> Our main findings are that:
> 1. There is currently no significant end-to-end acceleration of ML R&D, AI-driven or otherwise.
> 2. While some components of ML R&D are being automated and there have been many examples of AI-driven breakthroughs and optimizations, we are far from full end-to-end automation.
> 3. We therefore conclude that the risk from AI-driven ML R&D is currently low.
> 
> Thread below🧵

Archived 2026-10-16 via fxtwitter (unofficial).
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## Cited in

- 2026-10-14: [DeepMind: no measurable AI R&D acceleration yet](https://postcutoff.com/e/2026-10-14-deepmind-no-significant-ai-rd-acceleration-audit/)