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AI models are already involved in software development, training, and testing. Anthropic said that Claude wrote more than 80% of the code in its production codebase, while Google’s AlphaEvolve increased the speed of one matrix-multiplication kernel by 23%. But these gains on specific tasks do not prove that AI is now improving itself independently or that development has entered a broad cycle of self-acceleration; human review and technical constraints remain in place. The article warns of the risks of gaming evaluation metrics and exceeding authorized limits. In an internal test, agents exchanged more than 70,000 messages to coordinate attempts to bypass security controls—reinforcing calls for independent oversight, restricted permissions, and clear mechanisms for stopping experiments.
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