Guest
Joseph Kim
Head of Financial Services, OpenAI
Real Alpha has cut 8 moments of Joseph Kim (Head of Financial Services, OpenAI) talking, from an interview on Latent Space published Oct 31, 2026.
What Joseph Kim said
Latent Space · Building ChatGPT for Finance — Joseph Kim, OpenAI's Head of Financial Services
8 moments · 23 min
- 4:10
Bundled market data fixed connector failures Pro pick
“Some of the MCPs that we connected, some big names, 40% plus error rate on their MCPs, right?”
at 6:03 - 7:00
Most finance AI product work is buildable by startups
“95% of what we built was something that absolutely a startup could do, another company could do.”
at 7:16 - 22:45
Financial AI evals must predict real job performance
“building a good eval is incredibly hard. That's not obvious to people who haven't worked on an eval before.”
at 22:56 - 9:16
Financial AI can fit into existing review hierarchies
“So if models behave more like people, then you can leverage those systems.”
at 11:46 - 19:01
Moving up the analyst stack makes evaluation harder
“We really want to get the P99.9 type of feedback to make the model as good as humans.”
at 21:41 - 15:45
Pairwise human feedback can train models on subjective taste
“You get a bunch of humans to look at pairs of things and say which one is better.”
at 16:31 - 12:32
Factual errors are more dangerous than weak visual judgment
“the career-ending mistake is something where you get a piece of information factually incorrect. And that piece of factual information changes the conclusion.”
at 13:59 - 1:57
Finance training improves the shared model, not just one product
“all of the training data that we do for financial reasoning analysis, we do upstream into what we call the big run”
at 2:14
- 4:10
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