I think there's like the meta-bad AI usage idea, in which all other tarpit ideas take root.
"Let's outsource critical decision making to a language model."
Small scale of this can be seen when attempting to single-shot a whole SaaS by the means of a severely underspecified prompt. This is the first-order blind reliance situation: our SaaS sure is implemented in some way.
Really fiery tarpits put the LLM higher in the stack: let the language model decide what the feature should be. Our SaaS sure does something in some way.
Having a human in the loop at all times doesn't scale. Not having a human scales, but doesn't work.
I think there's like the meta-bad AI usage idea, in which all other tarpit ideas take root.
"Let's outsource critical decision making to a language model."
Small scale of this can be seen when attempting to single-shot a whole SaaS by the means of a severely underspecified prompt. This is the first-order blind reliance situation: our SaaS sure is implemented in some way.
Really fiery tarpits put the LLM higher in the stack: let the language model decide what the feature should be. Our SaaS sure does something in some way.
Having a human in the loop at all times doesn't scale. Not having a human scales, but doesn't work.
how ai chatbots that combine multiple models is a tarpit idea?
I think “cases where AI lets you escape an old tarpit” are interesting even if they are likely to remain tarpits.
another one probably "ai cold outbound"