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> Consider two people - one, a Papau New Guinea tribesperson who is allowed to handle a powered-down iPhone, and told it is an "iPhone", but is otherwise ignora
by notahacker 3y ago
> Consider two people - one, a Papau New Guinea tribesperson who is allowed to handle a powered-down iPhone, and told it is an "iPhone", but is otherwise ignorant of its behavior - the other, a cross-platform mobile software developer who has never actually held a physical iPhone, but is intimately familiar with its build systems, API, cultural context etc. Between the two of them, who better understands what an iPhone "is"?
But then also consider the following: a human being from 2006, and an LLM that has absorbed an enormous corpus of words about iPhones that is also granted access to a capacitive-touchscreen friendly robot arm and continuous feed digital camera (and since I'm feeling generous, also a lot of words about the history and architecture of robot arms and computer vision). There is no doubt the LLM will completely blow the human out of the water if asked trivia questions about the iPhone and its ecosystem.
But my money's on the 2006 human doing a lot better at switching it on and using the Tinder app...
- dTal 3y agoNo doubt. I don't think anyone's arguing that LLMs have richer, deeper understanding of anything just yet. On the other hand I also don't think it would prove much to vaguely connect a language model to a robot arm and then ask it to do non-language tasks.