From Newsgroup: alt.philosophy.taoism


China Surpasses US in AI Token Usage: A Concise Report

1. Core Fact: A Historic Turning Point
Timeline: Third week of February 2026.
Key Data:
Weekly Token Usage (China Models): 5.16 trillion tokens.
Weekly Token Usage (US Models): 2.70 trillion tokens.
Comparison: China leads by nearly 2x, marking the first comprehensive overtaking.
Leaderboard Performance: Among the global Top 5 models, 4 are Chinese (MiniMax M2.5, Kimi K2.5, Zhipu GLM-5, DeepSeek V3.2), with only 1 US representative remaining (Google Gemini).

2. Three Key Drivers
Extreme Cost-Effectiveness: API prices for Chinese models are only 1/10 to 1/20 of comparable US products, forcing global developers to "vote with their feet."
Architectural Breakthroughs: Widespread adoption of MoE (Mixture of Experts) architecture maintains high performance while drastically reducing inference costs, breaking the old rule that "high performance equals high cost."
Open-Source Ecosystem Explosion: Aggressive open-source strategies by companies like Alibaba (Qwen) and DeepSeek have attracted global developers to fine-tune these Chinese base models, creating massive long-tail traffic.

3. User Profile: Who is Paying?
Main Force: Overseas developers (especially Silicon Valley startups). Phenomenon: According to an a16z survey, over 80% of funded Silicon Valley AI startups secretly use Chinese open-source models in their backends to cut costs and accelerate delivery.
Logic: Pragmatism triumphs over ideology when survival and profits are at stake.

4. Profound Implications
End of US Hegemony: The model of monopolizing technology and harvesting global profits at high prices has failed; the valuation logic for US AI giants faces restructuring.
Victory of the "China Model": The strategy of "Open Source + MoE + Low Price" has been proven as a more effective path suited to the current global economy.
Shift in Compute Demand: The global center of AI compute consumption is shifting towards China, driving revenue surges for Chinese cloud providers (Alibaba Cloud, Volcengine, etc.), while also triggering global cloud price hikes due to resource shortages.

5. Conclusion
This is not just a statistical overtaking but a shift in the discourse power of global AI infrastructure. In the future, Chinese models will become the "invisible backbone" of global AI applications, while US models may be forced to retreat into high-end closed markets or slash prices to survive.
--- Synchronet 3.21d-Linux NewsLink 1.2

From Newsgroup: alt.philosophy.taoism


Mahjong fan <user11874@newsgrouper.org.invalid> posted:

China Surpasses US in AI Token Usage: A Concise Report

1. Core Fact: A Historic Turning Point
Timeline: Third week of February 2026.
Key Data:
Weekly Token Usage (China Models): 5.16 trillion tokens.
Weekly Token Usage (US Models): 2.70 trillion tokens.
Comparison: China leads by nearly 2x, marking the first comprehensive overtaking.
Leaderboard Performance: Among the global Top 5 models, 4 are Chinese (MiniMax M2.5, Kimi K2.5, Zhipu GLM-5, DeepSeek V3.2), with only 1 US representative remaining (Google Gemini).

=================================

"You might be using a niche AI software in the US that runs on Alibaba Cloud or Zhipu AI models under the hood. The interface is in English, so yourCOd never realize itrCOs powered by Chinese technology.

Extremely low pricing is the core strategy. For instance, DeepSeek-V3rCOs input price could be as low as 0.14 per 1 million tokens, whereas GPT-4o might cost 2.50 per 1 million tokens. Chinese models are often priced at just 1/10th or even 1/20th of their American counterparts.

The strategic intent is clear: vendors are willing to forgo model licensing fees just to get you using their models, thereby locking you into their cloud ecosystem or establishing their technical standards.

The logic is simple: the model is the 'hook', but the cloud services are the 'fish'. Once an enterprise builds its architecture on your cloud, the migration costs become prohibitive, ensuring substantial long-term revenue.

In the long run, this represents a multi-billion dollar strategic investment by China to seize control of the global AI infrastructure."
--- Synchronet 3.21d-Linux NewsLink 1.2

From Newsgroup: alt.philosophy.taoism


Mahjong fan posted:

Mahjong fan posted:

China Surpasses US in AI Token Usage: A Concise Report ...

"You might be using a niche AI software ...

Can the AI explain how these posts related to Tao Chia?

Why did you post them to a Taoist newsgroup?

What arrives in mind for me is how AI can be AI.
At times an LLM can speak yet for me, they write.

ChatGPT and Gemini tend to be used the most.
Recently Duck.ai has been tried. It's okay.

The AI/LLM that is, isn't always.

- thanks! aye. Cheers!
--- Synchronet 3.21d-Linux NewsLink 1.2

From Newsgroup: alt.philosophy.taoism


aye posted:

Mahjong fan posted:

Mahjong fan posted:

China Surpasses US in AI Token Usage: A Concise Report ...

"You might be using a niche AI software ...

Can the AI explain how these posts related to Tao Chia?

It is not easy to see why.

ChatGPT says:

<< WhatrCOs happening is mostly an investment-driven strategy,
not immediate profit.

HererCOs why it looks like a gamble:

1. High usage, low or negative margins
Chinese models are seeing massive token usage,
but cheap pricing and huge infrastructure costs
mean most revenue doesnrCOt cover costs yet.

The goal is to lock in developers, businesses, and ecosystems,
hoping that future monetization will pay off.

2. Market-share first approach

Capturing global adoption early makes it easier
to set standards, APIs, and integrations, which creates
a long-term competitive moat.

Even if the company loses money now, it may dominate the market later rCo
the payoff is strategic as much as financial.

3. Funding vs. profits
Many Chinese AI firms are backed by venture capital
or state-favored funding, which treats current losses
as acceptable for growth potential.

Token usage growth is a key metric for investors,
even if the bottom line is negative.

4. Risk vs. reward

If the models gain enough adoption, companies can:
Raise prices later, Sell enterprise contracts, Monetize premium features

But if adoption stalls or costs rise, the early investment could be wasted, which is why it is a gamble.

In short, high token usage without profits is classic
growth-over-earnings strategy rCo essentially investors betting that scale, network effects, and ecosystem control will eventually convert into money. ItrCOs a gamble, but one many firms are willing to take in AI right now. >>

Perhaps, in terms of Daojia, the investment
isn't always guaranteed, like dao that are dao
but aren't necessarily always the Dao.

- jest a guess. Thanks! Cheers!
--- Synchronet 3.21d-Linux NewsLink 1.2