>> If that's true, why then did it take me 10 seconds yesterday to... Google vs cGPT it's neither here nor there in this case, after all Google research drives

>> If that's true, why then did it take me 10 seconds yesterday to... Google vs cGPT it's neither here nor there in this case, after all Google research drives cGPT, their market focus differs. The OP is directly mapping Frankfurt's depiction of Bullshit atop the current AI phenomena, mainly because how generative AI approaches "truth". Natural languages (NL) differ greatly from computer languages (CL), especially on grammar (NL tolerates vagueness) and semantics (meaning, truth). Loosely-speaking, when AI generates NL text it relies on LLMs for context, structure, length etc, a kinda "the model suggests so". However, where content is computer code, even computers can test & verify the output. With NL content on the other hand, the end-user has to essentially test & verify the output to establish truth, meaning. In my view, the main difference between a Human Bullshitter and a Automated Bullshitter, is that AI can potentially improve exponentially (as smart tech does), thus leaving the end-user (average person) severely overwhelmed.