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ryan_s007 OP t1_j8glzid wrote

Imagine the potential if the user did have strong knowledge of the process being automated. The problem then is not the plurality of the knowledge the bot can regurgitate, but the intelligence it has within a specific domain.

I suggest that this domain be the logical translation of natural language into code. By training the bot in a specific environment, connecting domain-specific topics to structures in code is made possible and more accurate.

And the individuals with strong knowledge of their roles would provide the most accurate instructions to the bot. Even when accuracy fails, the simplicity of the process will inevitably crowd-source enough data for some to be of use to technical programmers.

The biggest deterrent to this is the cost and time it takes to train the bot.

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FredTheLynx t1_j8gpjt1 wrote

That's the thing though, that is the fundamental limit of these kind of natural language AIs. They learn by volume.

Chat GPT writes really good cover letters for Job applicants for example. Because there are tons of cover letter examples out there for it to ingest and learn exactly what it is that makes a good one.

And that means two important things.

  1. They cant teach themselves anything.
  2. For anything obscure enough that sufficient volume and variety of material doesn't exist they aren't that great.
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