OK, Marcus claims to have reread The Bitter Lesson. And I should say, I too have reread the text and I don't think Marcus is getting the actual original argume

OK, Marcus claims to have reread The Bitter Lesson. And I should say, I too have reread the text and I don't think Marcus is getting the actual original argument of here. All it say is that general purpose algorithms that scale will outperform special purpose algorithms that use information about the problem and don't scale. That's all. Everyone claiming more is hallucinating, things into this basic point. Notably general purpose algorithms aren't necessary neural nets and "X works better than Y" doesn't imply X is the best thing every. So there's no contradiction between The Bitter Lesson and claims that LLMs have big hole and/or won't scale up to AGI.