Keras 作者、ARC Prize 联创 François Chollet 称,认为当前模型有意识是荒谬且冒犯的,能力强的信息处理与感知能力完全无关。他以计算器、国际象棋引擎、自动驾驶汽车和 AI 聊天机器人为例,指出具备某领域信息处理“回路”并不产生主观体验、情绪或痛苦。当前 AI 模型本质上是经梯度下降刻蚀、覆盖多领域大量能力回路的计算器。
Side note. The idea that current models are conscious is absurd and downright offensive. Do not confuse competent information processing and sentience, they are wholly unrelated.
You can be entirely incompetent at everything yet fully conscious, like a toddler, or extraordinarily competent in one or more domains with absolutely zero consciousness, like a calculator, a chess engine, a self-driving car, or an AI chatbot.
Possessing the "circuits" for competent information processing in a given domain, whether through training or hardcoding, does not produce qualia, subjective experience, emotions, or suffering. Calculators do not "feel" arithmetic and they don't get tired or annoyed when you give them larger numbers to process. To argue otherwise is ontologically absurd. Current AI models are effectively calculators scaled to a very large number of competence circuits across many domains, etched via gradient descent.
来源:François Chollet · x.com