Agreed with this. people underestimate the importance of good abstractions and maintainability. pa...
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Jerry Liu on X: "Agreed with this. people underestimate the importance of good abstractions and maintainability. part of...
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- 主题聚焦：Agreed with this. people underestimate the impor
- 来源：Jerry Liu(@jerryjliu0)，建议结合原文判断细节。
- AI 分析暂不可用，本条为保底评分与摘要。
Jerry Liu on X: "Agreed with this. people underestimate the importance of good abstractions and maintainability. part of the reason LLMs/AI are so popular in the first place is because of the ease of using the models during inference-time (through prompting, orchestration) instead of training" / X
Jerry Liu
@jerryjliu0
Agreed with this. people underestimate the importance of good abstractions and maintainability. part of the reason LLMs/AI are so popular in the first place is because of the ease of using the models during inference-time (through prompting, orchestration) instead of training
Jesse Zhang
@thejessezhang
Jul 13
I actually feel strongly that the "learning" companies will want to do with their data will mostly not be to train models. Let's say you have a bunch of valuable data about your customers or employees. Your best bet to make that IP useful is to turn it into skills or artifacts
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12:55 AM · Jul 14, 2026
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