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Why Decade-Old Residual Connections Still Power All of AI (And Why That’s a Problem)

Towards Data Science Moulik Gupta June 12, 2026
Why Decade-Old Residual Connections Still Power All of AI (And Why That’s a Problem)
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# Why AI Hasn't Really Evolved in One Key Way—Until Now Despite major breakthroughs in AI over the past decade, one fundamental building block inside neural networks has barely changed, which means we might be hitting a ceiling on how much better AI can get. A Chinese AI company called DeepSeek is now attempting to redesign this old component, suggesting that fixing this outdated piece could unlock the next generation of AI improvements. The takeaway: even cutting-edge AI relies on decade-old technology that might be holding it back.

For nearly a decade, this part of neural networks barely changed. DeepSeek is trying to reinvent it. The post Why Decade-Old Residual Connections Still Power All of AI (And Why That’s a Problem) appeared first on Towards Data Science.

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