John Collison: prediction

Transcript context

…We have a version of that. I don't think it's as those effects yet, at least. But even again, we've seen 20,000 audits and thousands for particular firms, and so you're like, to control… We now do AI evidence eval. It's like, "Oh, you're going to provide this piece of evidence." We can just tell you, is it going to work for this auditor? Did you upload a cap picture? Did you upload a screenshot without a timestamp on it? You're going to get told to put the timestamp back on. Just that feedback loop. We already have, and we've thought about a lot about doing things for auditors as well with that. But yeah, it moves in the direction of an AI internal audit, at least. It feels like the data you have of anonymized prior audits is an incredibly powerful network effect that cannot be replicated because it doesn't exist in the public interest. The AIs don't have it available to them. It's just private data. Stripe is an advantage because we have all the fraud data. We know what a normal buying pattern looks like versus not. We can offer the best anti-fraud performance just because we're working with a larger data set than other people. Similarly, people are going through an audit, you can tell them that this will work and this won't. This is our Radar.…

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