Google DeepMind's safety report on its Gemini 4 Argon model found no statistically significant acceleration in AI research, with its capability index rising a steady 0.1 points per month. Although most production code at the lab is more than 75% AI-written, about 88% of pull requests still need human steering or human-written code. Argon solved roughly half of the internal research engineering tasks it completed, well below the 90% score DeepMind treats as a red flag for full automation. DeepMind concluded the risk from AI-driven ML R&D is currently low, but acknowledged the report covers only its own lab and cannot rule out that an unrestricted Argon crosses its danger thresholds for cyberattacks and bioweapons information.
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