@seclink: Indeed, the token plan is not very transparent. I used up the 1.6 billion tokens Xiaomi gave me in less than a week (counting only workdays). When you think about it, that's more than 100 million per day. And think: there are 10 million programmers like me across the country. In 2026, there will still be a computing power shortage...
Summary
User complains that the 1.6 billion tokens gifted by Xiaomi were used up quickly, believes the token plan is not transparent, and predicts a computing power shortage in 2026.
View Cached Full Text
Cached at: 05/12/26, 02:53 PM
Indeed, the token plan is not very transparent.
Xiaomi gifted 1.6 billion tokens, and I used them all up in less than a week (counting only business days).
Thinking about it, that averages over 100 million tokens per day.
And if there are 10 million developers like me in China,
By 2026, there will definitely be a compute shortage…
Similar Articles
@seclink: Based on this estimate, the current daily token demand in China is 1,000 trillion. However, production capacity remains insufficient, resulting in a supply-demand imbalance.
The article estimates that daily token demand in China has reached 1,000 trillion, but computing capacity remains inadequate, leading to a supply-demand imbalance.
@seclink: Xiaomi announces MiMo-V2.5-Pro-UltraSpeed internal test - full performance, 1000 tokens/s peak speed. Completely unleashes the productivity of Coding Agent. Limited trial resources, daily capped approvals, priority for professional institutions.
Xiaomi launches internal test of MiMo-V2.5-Pro-UltraSpeed model, with peak speed of 1000 tokens/s, aiming to boost the productivity of Coding Agent. Trial resources are limited and directed to professional institutions.
@yibie: Recommends this hardcore real-world test. An engineer tracked his coding agent session for a week and found that only 0.67% of tokens were spent on actual tasks—the remaining 99% all went to moving tool directories, skill descriptions, and system prompts. Work-to-overhead ratio 1:1…
An engineer tracked his coding agent's token usage over a week, finding that only 0.67% of tokens were spent on actual tasks, with 99% consumed by tool directories, skill descriptions, and system prompts. He provides optimization strategies, including shell output filtering which saved 46.9% of tokens.
@levie: If you want to know where all the tokens will get consumed in the future, here it is. Agent swarms will have massive im…
Aaron Levie 借 Prime Intellect 的最新实验指出，AI 智能体群将是未来 token 消耗的主要场景，可在软件开发、网络安全、生命科学等企业领域并行协作，实现人类无法企及的执行方式，这也是未来需要 1000 倍算力的原因。Prime Intellect 的 Prime Agent 此前指挥超过 2000 个智能体在两周内用 Rust 重写自身，消耗了 2000 亿以上 GLM-5.3 token。
@seclink: Stepwise AI is giving away tokens for free, but I feel if you've used Mimo-Pro, you can skip Step Plan for now. I suspect Stepwise AI's goal is to use your code to train its own code model, and at this early stage, the quality still has a lot of room for improvement. Also, the terms seem a bit stingy...
Stepwise AI is giving away tokens for free, but users speculate its purpose is to collect code for training its own model. Current quality is mediocre and the terms are unfriendly.