Google DeepMind finds no acceleration in AI research progress

An internal audit tied to the Gemini 4 Argon safety report finds steady gains, heavy human review, and no sign of AI speeding up its own development Google DeepMind published its first comprehensive internal assessment of AI-driven machine learning research on October 14, 2026. The audit found no measurable acceleration in AI progress that can be credited to AI itself. The assessment appears inside the Gemini 4 Argon Safety & Security Report. Researcher Haydn Belfield led the work. The team tracked frontier Gemini capabilities with a metric it calls the General Capability Index, or GCI. Across 123 models and 92 benchmarks, that score has climbed by approximately 0.1 GCI points each month. The report says thorough statistical analysis shows no significant structural speedup after April 2026.

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