信任革命：Mira Network 化解 AI 幻觉并重塑教育测评
在现代教育测评中，AI 生成内容（如题目设计、自动评分及学术解析）的效率极高，但其准确性一直未能达到专业标准
低准确率：传统 AI 模型在处理复杂学术逻辑时的准确率往往波动在 70-75%
人工成本：为了弥补 AI 的不确定性，Learnrite

Inference ：构建去中心化 AI 与物理机器人
2026 年初，ZK赛道项目 Inference Labs @inference_labs 正处于技术边界扩张的关键节点：
①架构品牌重塑：2026 年 1 月 1 日 Inference 正式宣布其 Subnet-2 进化为 DSperse
②进军家用机器人领域：Inference  x.com/inference_labs…

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A Revolution of Trust: Mira Network Debunks the AI Illusion and Reshapes Educational Assessment

In modern educational assessment, AI-generated content (such as question design, automatic scoring, and academic analysis) is highly efficient, but its accuracy has consistently fallen short of professional standards.

Low Accuracy: Traditional AI models often fluctuate between 70-75% accuracy when handling complex academic logic.

Human Costs: To compensate for the uncertainty of AI, Learnrite...

Users of digital assets are increasingly concerned about filing crypto tax returns as on-chain volume continue to rise.
These issues are occurring against the backdrop of many countries adopting reporting frameworks...

Hidden costs of crypto profits: Why small investors struggle with tax filing.

Author: Dfarm

When talking about Polymarket, many people know that its core is: YES + NO = 1. But do you really understand this simple formula? Today, I'll explain Polymarket's shared order book in detail!

If you check Polymarket's official documentation, you'll find that the price calculation is explained as follows:

You might not fully understand it after reading this, but that's okay. Let me give you an example.

A torn dollar bill

Some people think YES 0.7 + NO 0.6...

A comprehensive explanation of Polymarket: Why must YES + NO equal 1?

Written by: Maitong MSX Researcher The past cannot be changed, but the future can still be shaped.

2025 has passed in the blink of an eye. This year, the global financial market underwent round after round of extreme stress tests: geopolitical fluctuations, volatile macroeconomic expectations, fading narratives, and liquidity divergence occurred intermittently. Meanwhile, tokenization quietly accelerated, driven by compliance and infrastructure development.

It can be said that from TradFi to Web3, two previously parallel forces are converging at an unprecedented speed, aiming at the on-chain and programmable nature of various financial assets.

To restore the market's "sentiment"...