@10xmylife: I try every domestic model update, and one trend is becoming clearer: each version update of Kimi, GLM, and DeepSeek is better than the last. I think this indicates that the domestic model R&D system is entering a virtuous cycle: more users bring richer real data; engineering infrastructure is maturing; compute power is still tight but forces optimization; pricing advantages are clear.

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Summary

The author observes that domestic AI models (Kimi, GLM, DeepSeek) improve with each update, believing that domestic model R&D has entered a virtuous cycle: user growth brings abundant data, mature engineering infrastructure, tight compute power forcing efficiency optimization, and clear pricing advantages.

I try every domestic model update, and a trend is becoming increasingly apparent: each version update of Kimi, GLM, and DeepSeek is better than the last. I think this indicates that the R&D system for domestic models has entered a virtuous cycle. More users bring richer real data; engineering infrastructure is maturing; although compute power remains tight, it actually forces teams to continuously optimize training, inference, and algorithm efficiency rather than simply stacking GPUs. Moreover, the pricing advantage of domestic models is clear: one is priced in dollars, the other in RMB — there's no comparison. Although they are not yet fully suitable for production-grade models, they are more than sufficient for planning tasks. The gap is getting smaller.
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Cached at: 07/21/26, 06:49 PM

Every time a domestic model updates, I go and try it out. One trend is becoming increasingly clear:
With each version update, Kimi, GLM, and DeepSeek get noticeably better than the last.

I think this indicates that the R&D ecosystem for domestic models has entered a virtuous cycle.

More users bring richer real-world data; engineering infrastructure is maturing; and although compute power remains tight, it actually forces teams to continuously optimize training, inference, and algorithm efficiency — rather than simply stacking more GPUs.

Moreover, the pricing advantage of domestic models is obvious: one side bills in dollars, the other in RMB — there’s no comparison.

While they’re still not quite ready to serve as full production-grade models, they’re more than capable for planning tasks.

The gap is narrowing.

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