Google DeepMind 的 Benoit Schilling 分享了AI编程的新阶段：难点不在写代码，而在设计对齐。他亲自领导 Gemini 的推理和编程团队，观点很实在。
2018年，Google X秘密启动用机器学习改进编程的项目，Benoit Schilling担任CTO。如今他领导Google DeepMind的Gemini Thinking、Reasoning和Coding团队，认为AI编程已从机器约束进入设计约束阶段。核心挑战不再是写代码本身，而是确保代码满足复杂需求，开发者角色转向架构、验证和高层推理。
🆕 Research to Reality with Google DeepMind https://t.co/WR4PAkU730 Way back in the ancient times ...
🆕 Research to Reality with Google DeepMind youtu.be/1P1hJ36rxM0 0 Way back in the ancient times of 2018, Google X started a skunkworks project exploring how ML could improve coding. @benoitschilling was CTO, and many people were incredible skeptical. Benoit now leads the Gemini Thinking, Reasoning, and Coding teams at @GoogleDeepMind , and still sees more potential for AI to solve software - even now that coding has moved from machine-constrained to design-constrained: The challenge is no longer writing the code itself, but ensuring the code aligns with specific, complex requirements, shifting the role of the developer toward architecture, verification, and high-level reasoning. 💬 2 🔄 1 ❤️ 2 👀 879 📊 3 ⚡