Gary Marcus指出行业混淆LLMs与AI，忽视添加元素和有限领域应用，提醒警惕行业对AI发展的误导。
行业常将LLMs与AI混淆，忽视近期贡献主要来自添加（神经）符号元素，且新技巧在数学和编码等有限领域表现最佳。警惕行业对真实情况的隐瞒。一年前，GPT-5被认为证明AI陷入困境，但当时做出此论断的人显然错了，他们仍在继续发表错误观点。
the industry’s preferred way to obscure things is to conflate LLMs with AI, and to ignore the fact t...
the industry’s preferred way to obscure things is to conflate LLMs with AI, and to ignore the fact that recent contributions have come from adding things - mostly (neuro)symbolic - to those LLMs (precisely as my famous 2022 paper forcecast) and to ignore the fact that the new techniques for doing so still at present work best in limited domains such as math and coding. keep your eye on the ball; they sure as hell won’t be candid about what’s happening. Dean W. Ball @deanwball Your periodic reminder that a year ago the conventional wisdom was that gpt 5 proved ai was hitting a wall, and that the people who made those claims were obviously wrong at the time, and that they are mostly still out there, continuing to say obviously wrong things 🔗 View Quoted Tweet 💬 3 🔄 4 ❤️ 11 👀 2350 📊 4 ⚡