How Chinese AI Companies Are Pursuing Recursive Self-Improvement Through Engineering Automation

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Leiphone surveys Chinese AI companies’ recursive self-improvement efforts, arguing that current progress centers on training workflows, inference infrastructure, sandboxes, and agent harnesses rather than autonomous redesign of model weights. It reports that Zhipu’s Infra Agent built inference services across 100,000 domestic chips, while DeepSeek’s DSec produces about 3 million sandboxes daily. The article also highlights Seed research suggesting that improvements in agents’ self-evaluation scores often fail to translate into lasting, reliable capabilities.

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