New review paper argues code is how AI agents think and act, not just what they produce
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New review paper argues code is how AI agents think and act, not just what they produce

Jonathan KemperThe Decoder
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A review paper argues that the software layer (tools, memory, testing, permissions) around language models, not the models themselves, is the key bottleneck for autonomous AI agents. DeepSeek is building a dedicated team to implement this model-plus-harness formula for creating functional AI agents.

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