@PrajwalTomar_: Andrew Ng predicted this back in 2024, and it just quietly became the most important skill in AI. He proved that a weak…

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Summary

Andrew Ng's 2024 prediction that agentic workflows with weaker models can outperform stronger standalone models is validated by Anthropic, where an orchestrator coordinating cheaper subagents beat Claude Opus by 90.2%. The post highlights Claude Code subagents as the practical implementation.

Andrew Ng predicted this back in 2024, and it just quietly became the most important skill in AI. He proved that a weaker model wrapped in an agentic workflow beats a much stronger model running alone. People argued with him. He was right. Now look at where it landed. Anthropic ran the same idea on themselves, and one lead agent coordinating a team of cheaper subagents beat a single Claude Opus by 90.2%. The unlock was never a smarter model. It's a team of small agents, one orchestrator, each scoped to one job. That is exactly what Claude Code subagents let you do today. I wrote the exact setup I use to run a subagent team that actually ships, in the article below.
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Cached at: 08/07/26, 02:52 PM

Andrew Ng predicted this back in 2024, and it just quietly became the most important skill in AI.

He proved that a weaker model wrapped in an agentic workflow beats a much stronger model running alone. People argued with him. He was right.

Now look at where it landed. Anthropic ran the same idea on themselves, and one lead agent coordinating a team of cheaper subagents beat a single Claude Opus by 90.2%.

The unlock was never a smarter model. It’s a team of small agents, one orchestrator, each scoped to one job.

That is exactly what Claude Code subagents let you do today.

I wrote the exact setup I use to run a subagent team that actually ships, in the article below.

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