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  • The problem with LLMs in finance is the same as it is in writing, design, and many other disciplines: it isn’t code.

    Code objectively does what it‘s intended to do or it doesn’t (and passes certain tests or not) which gives coding agents an indication on whether their solution is adequate.

    This is much harder in almost any other discipline.

    Pass-fail tests in other disciplines are much less useful. You can tell an AI to not use certain words or not write sentences longer than X, but those rules are insufficient.

    At no point can a piece of writing or a design be evaluated to “work” the way code does.

  • And they hallucinate errors in the millions and struggle with financial data that is in a layout that isn’t in the training data. Ie balance sheet etc.

    Been trying to add more AI to my workflow but it just doesn’t work (yet) - not in the same way as vibe coding does

    The technical references lookups work though. Looking up regulations etc

  • Single shot or with reasoning enabled? My experience is that reasoning dramatically reduces hallucinations and improves output quality. I don't trust models without it.
  • Each year I have Claude do my taxes (which are complex) and compare them to those of our tax consultant.

    Each year it's exactly the same.

    I guess I'm getting really lucky?

    by qarl
  • Given most financial advisors tend to vend out suboptimal advice and steer customers in favour of products they receive a kickback for, I'm happy to be accepting of an unbiased LLM that's trained on bogleheads.org.
  • This will be the same story for every industry again and again. AI is not good in x=Finance because models were not RL trained heavily on x=Finance capabilities yet. This is only because Big Labs have finance benchmarks lower in their priority list. Their first priority was solving programming because that gives the best leverage at this stage. As a side-effect they were able to solve a Millennium Prize problem, since theorem proving was also code.

    So finance advisors in the comments section of FT are falling for the classical pitfall. They assume there is something fundamentally wrong with “AI chatbots” that they can’t do finance ever. They mistake the current products in the market for the technology itself. In near future someone will release “Claude x=Finance” and their world will shatter.

  • Article is just a vague summary of https://www.saturnos.com/report/artificial-authority

    Anecdotally, current models seem to be decent at general personal finance principles - certainly better than the majority of personal finance education that people get exposed to unless they seek it out and read a variety of books and sources. But I wouldn't trust them with direct decision making with actual money due to the training lag time on current tax policy, etc.

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AI chatbots give wrong answers to financial queries 'most of the time' · Birbla