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On October 23, 2026, the blogger "Ma Dongxi NLP" published a post arguing that in "Agent +" scenarios, the ability to build Agents is the least important, and what matters more is familiarity with the business of specific scenarios. The same article also said that in the current context, an AI engineer has little to do with AI and is not valuable, and advised young people in the AI field to turn to training, quantization, inference, or AI infrastructure construction. At present, this view is seen only in this one source, and there are no other development facts.
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Dongxi NLP says Agent-building capability is the least important
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Oct 23
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Ma Dongxi NLP
The blogger claims that building Agents has become formulaic, and young people should move closer to the model layer
The author believes that in "Agent +" scenarios, the ability to build Agents is the least important, while familiarity with specific business scenarios is instead more critical; and claims that in the current context, AI engineer has little to do with AI and is not valuable, suggesting that young people in the AI field shift toward training, quantization, inference, or AI infrastructure construction.
Heat trend for this story
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- 6
- Period peak
- 18 Oct 23 23:00
- 24-hour change
- -50%
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