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0 pointsWorkaccount25mo ago0 comments

But they aren't keeping up

They are lauded for the ability to cost ratio, or their ability to parameter ratio, but virtually everyone using LLMs for productive work are using ChatGPT/Gemini/Claude.

They are kind of like Huffy bicycles. Good value, work well, but if you go to any serious event, no one will be riding one.

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segmondy5mo ago

they are keeping up. i have been using just chinese models for the last 2 years. chatgpt/gemini/claude have marketing. there's nothing that you can do with those models that can't be done with deepseek, glm or kimi. if there is, do let us know.

Workaccount2OP5mo ago

They can't attract a large contingent of users. Because despite being able to do everything the big name models can do, they cannot do it as well.

This aligns with the benchmarks as well; they benchmark great for what they are, but still bottom of the barrel when competing for "state of the art."

And yes, it's great you daily Chinese models, but the vast majority of people try them, say "impressive", then go back to the most performant models.

vachina5mo ago

I'm not sure if you understood what OP meant by "marketing".

MSFT_Edging5mo ago

The downside of their efficiency and cost-ratio is that they undermine the circular economy of massive data centers, GPU sales, and VC money that is constructing an extremely wasteful bubble.

Workaccount2OP5mo ago

The bubble is there in China too, it's just on the governments books instead of private investors books.

j / k navigate · click thread line to collapse

0 pointsWorkaccount25mo ago0 comments

But they aren't keeping up

They are lauded for the ability to cost ratio, or their ability to parameter ratio, but virtually everyone using LLMs for productive work are using ChatGPT/Gemini/Claude.

They are kind of like Huffy bicycles. Good value, work well, but if you go to any serious event, no one will be riding one.

0 comments

segmondy5mo ago

Workaccount2OP5mo ago

They can't attract a large contingent of users. Because despite being able to do everything the big name models can do, they cannot do it as well.

This aligns with the benchmarks as well; they benchmark great for what they are, but still bottom of the barrel when competing for "state of the art."

And yes, it's great you daily Chinese models, but the vast majority of people try them, say "impressive", then go back to the most performant models.

vachina5mo ago

I'm not sure if you understood what OP meant by "marketing".

MSFT_Edging5mo ago

The downside of their efficiency and cost-ratio is that they undermine the circular economy of massive data centers, GPU sales, and VC money that is constructing an extremely wasteful bubble.

Workaccount2OP5mo ago

The bubble is there in China too, it's just on the governments books instead of private investors books.

j / k navigate · click thread line to collapse