That "nearly" is doing an awful lot of heavy lifting. It doesn't matter if your AI model is 99% or 99.99% accurate. For a tax return it has to be perfect every time or someone is at best getting a fine or at worst going to prison. Sure, human error happens too, but humans take accountability. That's why accountants are a regulated profession. Until an AI company CEO is willing to go prison if the output of their mode…
That "nearly" is doing an awful lot of heavy lifting. It doesn't matter if your AI model is 99% or 99.99% accurate. For a tax return it has to be perfect every time or someone is at best getting a fine or at worst going to prison. This is wildly out of touch with reality, at least in the US. The IRS barely audits anyone anymore, and if you make a mistake and they catch it, they often just correct it and send you a le…
GLM 5.2 is nearly as accurate as a human book keeper
111–120 of 131 posts
Re: GLM 5.2 is nearly as accurate as a human book keeper
#112Re: GLM 5.2 is nearly as accurate as a human book keeper
#113I'm not so interested in having an LLM do my bookkeeping for me. But I'm very interested in whether LLM's can unravel the accounting obfuscations that billionaires use to avoid paying taxes on their wealth.
One idea I've had for reform is to ban central banks from inventing new currency except to pay every citizen a UBI debt free, and only tax limited liability entities (not humans). This would give citizens, instead of borrowers, first spend on new money and orient limited liability entities to serving citizens in the market to get their taxed revenues. It would also be a boon for financial privacy and reduce the burde…
We should use money issued by the most trustworthy entity around, whatever it may be at the time, and the state should have to compete for that spot.
Re: GLM 5.2 is nearly as accurate as a human book keeper
#114Earlier quoted context omitted.
One idea I've had for reform is to ban central banks from inventing new currency except to pay every citizen a UBI debt free, and only tax limited liability entities (not humans). This would give citizens, instead of borrowers, first spend on new money and orient limited liability entities to serving citizens in the market to get their taxed revenues. It would also be a boon for financial privacy and reduce the burde…
I'm not so jazzed on state-issued UBI myself. It makes the state feel like they're special and I think that leads to bad behavior. We should use money issued by the most trustworthy entity around, whatever it may be at the time, and the state should have to compete for that spot.
Re: GLM 5.2 is nearly as accurate as a human book keeper
#115This is a prime example of a problem space where accuracy matters, but it also matters who ultimately goes to prison. I'm going to go out on a limb and guess it's not the LLM. If you're acting in good faith and your accountant does something crazy or evil, your liability is limited to some extent. You may get a tax bill but you're probably not gonna end up behind bars. But if your LLM decides to do a little bit of ta…
Sure! In classic accounting firms you'd typically have one accountant doing the books and then the other reviewing the first accountant's work. Given the model's accuracy (and models will only get better), only by automating the "doing" and keeping a human to do the review part we will already shave huge amount of time and costs without risking the compliance part.
Re: GLM 5.2 is nearly as accurate as a human book keeper
#116"The VAT return prepared by the model was essentially correct: the most important number in the return, which is how much VAT the company was owed by the tax agency, was off by only 7 pence relative to the human-prepared return." I don't know how taxes work in Europe, but in the US being "essentially" correct is not good enough for the IRS. The paragraph after this one goes on to explain other mistakes the LLM made?…
Re: GLM 5.2 is nearly as accurate as a human book keeper
#117Re: GLM 5.2 is nearly as accurate as a human book keeper
#118This doesn't surprise me at all. You can really constrain this problem, give very narrow context, and get pretty reliable and reproducible results. I've gotten very good results with some vibe-coded deepseek book keeping. https://github.com/traverseda/beansync Parses emails or other sources, extracts numbers, correlates different transactions, web search, asks questions, stores notes (regex based, very simple). The h…
Re: GLM 5.2 is nearly as accurate as a human book keeper
#119Re: GLM 5.2 is nearly as accurate as a human book keeper
#120Earlier quoted context omitted.
That "nearly" is doing an awful lot of heavy lifting. It doesn't matter if your AI model is 99% or 99.99% accurate. For a tax return it has to be perfect every time or someone is at best getting a fine or at worst going to prison. This is wildly out of touch with reality, at least in the US. The IRS barely audits anyone anymore, and if you make a mistake and they catch it, they often just correct it and send you a le…
I don’t think “I know plenty of people who commit fraud anyway so who cares if it’s right” is the ringing endorsement of AI you think it is.