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Google DeepMind Audit Finds AI Isn't Accelerating Its Own Development Despite Writing 75% of Code

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Here is what the page “Google DeepMind Audit Finds AI Isn't Accelerating Its Own Development Despite Writing 75% ” contains. Google DeepMind's first internal audit of AI-driven research reveals a striking paradox: while AI now generates 75% of the code in some projects, there is no measurable speedup in AI progress itself. The audit, conducted by the Alphabet-owned AI lab, examined whether AI systems are accelerating the pace of their own improvement—a key question for the future of artificial general intelligence. The findings suggest that despite heavy reliance on AI for coding tasks, the overall rate of AI advancement remains unchanged.

This challenges assumptions that AI will rapidly bootstrap itself to superintelligence. For the tech industry, it underscores that human researchers and novel ideas still drive breakthroughs. The audit did not specify the exact projects or timeframes, but the lack of acceleration is notable given Google's massive investment in AI infrastructure. For the complete material, the listing points back to the source inside the network.

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