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SQL patterns I use to catch transaction fraud

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Re: SQL patterns I use to catch transaction fraud

#72

Hacker News, we need to talk! "Fixel Smith" is an AI-generated person, with an article that has very little to do with fraud analysis. 'This' is also a music artist (1), novelist (2), fraud analyst (3), influencer (4), and whatever else you can imagine. 220+ points and 70 comments, and very few notice it's quite a fake post — and no one that it's an AI generated person? 1. https://www.amazon.it/Forged-Soundtrack-Expl…

I could imagine a person having or doing all of these over time, people do have many interests, but a cursory glance does give an impression of AI. The Instagram account uses a lot of it at least, and the top domain was likely made in conjunction with AI, given the style. Kind of fascinating, though it could still be a person doing this using AI as opposed to an entirely generated persona. Thanks for bringing it up.

If it looks like an AI, writes about fraud like an AI, and sings like an AI, then it's probably not a duck.

Re: SQL patterns I use to catch transaction fraud

#73

Hacker News, we need to talk! "Fixel Smith" is an AI-generated person, with an article that has very little to do with fraud analysis. 'This' is also a music artist (1), novelist (2), fraud analyst (3), influencer (4), and whatever else you can imagine. 220+ points and 70 comments, and very few notice it's quite a fake post — and no one that it's an AI generated person? 1. https://www.amazon.it/Forged-Soundtrack-Expl…

A cursory glance does make it appear like either a prolific individual, or a bot. The fact that the novel bears little relation to the analytics posts, which seem to bear the style of LLM prose, makes the whole thing fishy. Ironic given the subject matter of TFA

Re: SQL patterns I use to catch transaction fraud

#74
Reading this to the very end uncovers empty and contradictory advice. I'm almost sure it's LLM generated.

We learn simultaneously that 'your team' shouldn't rely on any one of those patterns ('none of them is enough'), but that pattern 1 'alone will surface a useful amount of fraud'.

We also read strange sentences like "Every analyst on your team will use them (ie window functions) once they exist, and adding the next fraud pattern stops being a project. [end of paragraph]"

Or irrelevant discussions about how filtering by "IS NULL" might be not applicable when almost none of the provided examples uses it (and the one which does uses it in different context).

This is low quality and too long.

Re: SQL patterns I use to catch transaction fraud

#75

Hacker News, we need to talk! "Fixel Smith" is an AI-generated person, with an article that has very little to do with fraud analysis. 'This' is also a music artist (1), novelist (2), fraud analyst (3), influencer (4), and whatever else you can imagine. 220+ points and 70 comments, and very few notice it's quite a fake post — and no one that it's an AI generated person? 1. https://www.amazon.it/Forged-Soundtrack-Expl…

I was checking the submission on the phone and only peeked at the comments section. While it's not always easy to judge if something is AI-generated or edited, here it was obvious at first glance from the quotes. Assuming that all of the comments were done in good faith, I think that the low AI literacy even here is really concerning.

Re: SQL patterns I use to catch transaction fraud

#76

Hacker News, we need to talk! "Fixel Smith" is an AI-generated person, with an article that has very little to do with fraud analysis. 'This' is also a music artist (1), novelist (2), fraud analyst (3), influencer (4), and whatever else you can imagine. 220+ points and 70 comments, and very few notice it's quite a fake post — and no one that it's an AI generated person? 1. https://www.amazon.it/Forged-Soundtrack-Expl…

Hacker News has developed recently a frustrating habit of upvoting such low quality AI sloppy submissions.

Makes me wonder if this AI flood uncovers the unflattering truth about this community acuteness, or it's only a failure of existing guardrails and we just need to change them.

Re: SQL patterns I use to catch transaction fraud

#77
post #2

> Real cardholders almost never buy something for exactly $1.00. Coffee is $4.73, gas is $52.81. The roundness is the signal. Surely this depends on how the vendor sets their prices? If you're going to buy something from a website to test a stolen credit card you don't just get to make up your own prices. And I think you may be over-indexing on the US "prices don't include tax" thing. Elsewhere, round-number prices a…

Yeah I was in a bar one night and was peckish, so tried to buy a packet of crisps. They said minimum spend on card was £5, so I said just charge me the £5 it's fine.

Card got blocked as they thought it was fraud. Annoying! And not something inebriated me wanted to deal with at 2am.

Ok. Maybe they protected me from myself, but still!

Re: SQL patterns I use to catch transaction fraud

#78

This seems interesting, but has so many signs of AI writing that I worry it's not just edited but generated from whole cloth. Probably still a lot of truth in there but it does give me pause! > The roundness is the signal. > Slight pain, same result. to point at a few.

> Three filters. That’s it. And my favourite most hated pattern, the no no no: > Not machine learning, not graph databases, not whatever Gartner is hyping this year.

I suspect the entire concept was vibe coded. There's a reason fraud detection uses machine learning.

Re: SQL patterns I use to catch transaction fraud

#80
Article was written by AI (dozens of give aways), so take the content with a grain of salt! They author could not be bothered to write it by hand, yet demands your attention to read it. I'm not even sure which parts are based on his prompt and which were hallucinated... How to butcher what could have been an interesting article... sigh
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