Yuchen Jin@Yuchenj_UW

2026-07-12 01:03·31分钟前

AI 摘要

随着各AI实验室和不同规模模型的编码性能趋于一致，花5到10倍的价格换取微弱的智能提升，还有意义吗？以GLM-5.2和Fable 5为例。在95%的任务中，大多数用户无法分辨两者的区别。但他们一定会注意到账单。

As coding performance converges across AI labs and model sizes， does it still make sense to pay 5x to 10x more for a tiny bit of extra intelligence？

Take GLM-5.2 vs. Fable 5. In 95% of tasks， most users cannot tell the difference.

But they will definitely notice the bill.

Yuchen Jin@Yuchenj_UW · X

2026-07-12 01:03·31分钟前

AI 摘要

As coding performance converges across AI labs and model sizes， does it still make sense to pay 5x to 10x more for a tiny bit of extra intelligence？

Take GLM-5.2 vs. Fable 5. In 95% of tasks， most users cannot tell the difference.

But they will definitely notice the bill.

Yuchen Jin@Yuchenj_UW

2026-07-12 01:03·31分钟前

AI 摘要

As coding performance converges across AI labs and model sizes， does it still make sense to pay 5x to 10x more for a tiny bit of extra intelligence？

Take GLM-5.2 vs. Fable 5. In 95% of tasks， most users cannot tell the difference.

But they will definitely notice the bill.