I see where you are coming from but in my head, Brenda isn't real.

She represents the typical domain-experts that use Excel imo. They have an understanding of some part of the business and express it while using Excel in a deterministic way: enter a value of X, multiply it by Y and it keeps producing Z forever!

You can train AI to be a better domain expert. That's not in question, however with AI, you introduce a dice roll: it may not miltiply X and Y to get Z... it might get something else. Sometimes. Maybe.

If your spreadsheet is a list of names going on the next annual accounts department outing then the risk is minimal.

If it's your annual accounts that the stock market needs to work out billion dollar investment portfolios, then you are asking for all the pain that it will likely bring.

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Peritract 19 hours ago | parent [-]

> You can train AI to be a better domain expert. That's not in question.

I think that very much is in question.

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ItsBob 16 hours ago | parent [-]

I have to agree... I have no idea why I wrote that. Silly me. It's a bit of a global statement.

There are, however, definitely domains it can excel: things like entry-level call handlers... I think they're screwed in all honesty!

Edit: clarified some stuff...

	▲	hunterpayne 13 hours ago \| parent [-]
		Its not even the question at hand. The question at hand is what is the right solution mix to reduce costs. When that training cost can easily be 20x Brenda's lifetime earnings, its really hard to say the cost will be less for the LLM solution. The real barriers to entry for LLMs are economic and often involves the cost of errors instead of what process makes more errors.