作者以"Glurg"游戏（实为 chess）假设情境论证：借助现有外部认知基础设施（计算机、互联网等），人类顶尖团队能在24小时内从规则解析开发出3000 Elo引擎，三周内可达3500 Elo且计算效率提升10倍。这表明人类智能已具备即时掌握复杂策略系统的能力，而非从零缓慢进化。该论述回应了关于现实世界更接近 chess 而非 Go 的争论，强调人类利用工具扩展认知边界的即时优势。
Chollet 用思想实验揭示：人类可从零规则快速构建专家系统，这正是当前 AI 与 AGI 的核心差距
Let me explain what I mean using your chess analogy...
Imagine a world where chess doesn't exist. In this world, humanity encounters an alien species, and they say "let's play a game of Glurg, it's our traditional pastime. Here are the rules, see you tomorrow" -- and it's the rules of chess.
My claim is that following this interaction, a working group of the world's best minds, leveraging current externalized cognitive infrastructure (computers, the internet, etc.) would be able to analyze the rules and develop a working 3000 Elo chess engine within 24 hours, in time for the match. Give them an extra 3 weeks and they'd have a 3500 Elo engine that's 10x more compute efficient.
So human intelligence is already at a level where we can go from "here are the rules" to "I can play at 3000 Elo" immediately. Not optimal yet, but not too far off.
On @fchollet's view (I'd summarize) the domain of real life is closer to chess than to Go, with human play already near-optimal and top machines giving only knight odds; rather than God having a 5-stone handicap, as thought to be true of Go. (He is being silly, of course.)在 X 查看被引用的帖子
来源：François Chollet · x.com