Comment by themafia
> radically different nature of our AI interlocutor
It's the training data that matters. Your "AI interlocutor" is nothing more than a lossy compression algorithm.
> radically different nature of our AI interlocutor
It's the training data that matters. Your "AI interlocutor" is nothing more than a lossy compression algorithm.
Most AI Chatbots do not rely on their training data, but on the data that is passed to them through RAG. In that sense they are not compressing the data, just searching and rewording it for you.
It feels like you're being pedantic, to defend your original claim which was inaccurate.
User input: Does NYC provide disability benefits? if so, for how long?
RAG pipeline: 1 result found in Postgres, here's the relevant fragment: "In New York City, disability benefits provide cash assistance to employees who are unable to work due to off-the-job injuries or illnesses, including disabilities from pregnancies. These benefits are typically equal to 50% of the employee's average weekly wage, with a maximum of $170 per week, and are available for up to 26 weeks within a 52-week period."
LLM scaffolding: "You are a helpful chatbot. Given the question above and the data provided, reply to the user in a kind helpful way".
However, it is not "decompressing" its "training data" to write
the maximum duration, however, is 26 weeks within a 52-week period!
Yet it won't be easy not to anthropomorphize it, expecting it to just know what we mean, as any human would. And most of the time it will, but once in a while it will betray its unthinking nature, taking the user by surprise.