📄 中文摘要
一位开发者在参加AI模型构建与训练研讨会时，最初对自身编程能力充满信心，认为AI无非是复杂的代码逻辑。然而，随着研讨会深入，其对AI的理解开始发生根本性转变。开发者逐渐认识到，传统编程中基于if-else语句的确定性逻辑，与AI模型通过数据学习和模式识别实现“思考”的机制存在本质差异。AI的运作核心在于其从海量数据中提取特征、建立关联并进行预测的能力，这超越了简单的规则集合。这种转变促使开发者重新审视AI的本质，将其视为一种能够自主学习和适应的智能系统，而非仅仅是预设指令的执行者。开发者意识到，AI的强大之处在于其能够模拟人类认知过程，从经验中学习并做出决策，这标志着从传统编程思维向理解“思考”机器的深刻飞跃。
📄 English Summary
The Day I Realised AI Isn’t Made of Code: A Developer’s Journey from If-Else to "Thinking" Machines
A developer, initially confident in their coding prowess, attended a workshop on building and training AI models, believing AI to be merely complex code. However, as the workshop progressed, their understanding of AI underwent a fundamental transformation. The developer began to realize that the deterministic logic of traditional programming, based on if-else statements, fundamentally differs from how AI models achieve "thinking" through data learning and pattern recognition. The core of AI's operation lies in its ability to extract features, establish correlations, and make predictions from vast datasets, transcending simple rule sets. This shift prompted the developer to re-evaluate the essence of AI, perceiving it as an intelligent system capable of autonomous learning and adaptation, rather than just an executor of predefined instructions. The developer recognized that AI's power stems from its capacity to simulate human cognitive processes, learning from experience and making decisions, marking a profound leap from conventional programming paradigms to comprehending "thinking" machines.