Whether token-rationing hardens into a real procurement discipline" — that's the question we kept coming back to too. The wrinkle in Asia is that the policy layer may answer it differently than the market does. In China, tokens are already being framed as an economic signal, not just a cost line to manage. Which makes the procurement discipline question harder, not easier. We looked at what that means for operators.
Great post! I'd love to get your thoughts on whether model routing can bring down costs to a point where the economics of LLMs makes sense? I'm not quite sure it will due to the sheep amount of token consumption, as well as inherent limitations around routing itself. How are Chinese model providers approaching and/or taking advantage of "token-minimizing"?
I actually discussed this in my latest post where I focused on return on tokens (RoT), albeit more from a US standpoint. It's nice ot read this from a Chinese perspective.
Token-minimizing is the moment AI stops looking like magic and starts looking like infrastructure.
Once intelligence becomes a metered cost, enterprises do what enterprises always do: route, ration, benchmark, substitute, and escalate only when necessary.
That is where the real architecture appears.
Not one model for everything.
Cheap cognition by default. Frontier cognition by exception.
Whether token-rationing hardens into a real procurement discipline" — that's the question we kept coming back to too. The wrinkle in Asia is that the policy layer may answer it differently than the market does. In China, tokens are already being framed as an economic signal, not just a cost line to manage. Which makes the procurement discipline question harder, not easier. We looked at what that means for operators.
Never believed ‘token-maxing’ was actually a thing. Rather a phantom dreamed up by bored commentators.
Great post! I'd love to get your thoughts on whether model routing can bring down costs to a point where the economics of LLMs makes sense? I'm not quite sure it will due to the sheep amount of token consumption, as well as inherent limitations around routing itself. How are Chinese model providers approaching and/or taking advantage of "token-minimizing"?
I actually discussed this in my latest post where I focused on return on tokens (RoT), albeit more from a US standpoint. It's nice ot read this from a Chinese perspective.
Great points and good summary of the most interesting conference points. I really enjoyed your panel and glad I learnt there about your blog!
Token-minimizing is the moment AI stops looking like magic and starts looking like infrastructure.
Once intelligence becomes a metered cost, enterprises do what enterprises always do: route, ration, benchmark, substitute, and escalate only when necessary.
That is where the real architecture appears.
Not one model for everything.
Cheap cognition by default. Frontier cognition by exception.