Andrej Karpathy, a former OpenAI researcher, has clarified the common misconception surrounding artificial intelligence (AI) interactions. He emphasized that when individuals 'ask an AI' a question, they are not engaging with a mystical intelligence but rather receiving responses that reflect the average contributions of human data labelers. Karpathy's insights suggest that AI systems are essentially statistical models built from the data provided by these labelers, which can include biases and expertise from the human contributors. This perspective challenges the notion of AI as an independent entity and encourages users to understand the underlying processes that shape AI responses. Other commentators echoed Karpathy's views, highlighting the importance of recognizing the human element in AI development and usage.
Former OpenAI researcher Andrej Karpathy explains that when users "ask an AI" a question, they are actually interacting with the average answers provided by human data labelers. https://t.co/1NGv6XHZjS
Great insight from @karpathy. AI is a statistical distillation of expertise and biases of its human data labelers. Query an LLM, and you’re (basically) asking the 'average internet contributor' or a 'skilled labeler,' not some magical intelligence. https://t.co/7oW5mFbXLQ
Yes... "you're not asking some magical AI. You're asking a human data labeler." Horrifying when you actually understanding the business of Ghost Work! ⚠️Please, I beg you all, do learn how the sausage is made : AI as a fantasy is hot as f*ck but AI implementation is filthy! https://t.co/k76MfmOcGt