Joseph Kim
Guest on Latent Space: The AI Engineer Podcast. 147 claims across 1 episode, Oct 2026.
Positions over time
Every pair of statements that was compared. Only a verified change counts as a change of mind; rewording, added nuance and different questions do not.
No two statements by this speaker have been compared yet.
Predictions, in their words
As stated, each with its moment. A date appears only where the speaker gave one.
“I, I really do think that there's gonna be a billion-dollar business built on top of a, a ChatGPT plugin. But ninety-five percent of what we built was something that absolutely a startup could do, um, another company could do.”
Expects: The speaker expects a billion-dollar business to be built on top of a ChatGPT plugin. · no date given · not yet resolved
“And so, um, we will make all that intelligence accessible there. Um, I think you touched a little bit on product and research, and I think that's, like, really core to what we do at OpenAI.”
Expects: OpenAI says it will make its AI capabilities accessible to external builders and financial firms. · no date given · not yet resolved
“But, you know, um, the 20% is missing, and so we need to find some way for my team to go build that 20% to actually go in. 'Cause the other half of the thesis was if you just took Codex and launched it as a financial product, um, it would fail.”
Expects: The speaker's team believed Codex lacked the final 20% needed to become a successful financial product and that launching Codex alone as a financial product would fail. · no date given · not yet resolved
“And, uh, you know, I had a line in my, um, presentation, but I, I really do think that there's gonna be a billion-dollar business built on top of a, a ChatGPT plugin, right?”
Expects: The speaker believes that a business worth a billion dollars will be built on top of a ChatGPT plugin. · no date given · not yet resolved
“And so I feel actually quite confident that, uh, a combination of that continual improvement plus the existing system checks in place are-- will make it such that, you know, that type of mistake, the chance of that propagating, uh, up to an MD is just very low probability, right?”
Expects: The speaker is quite confident that continued model improvement, together with existing system checks, will make the probability of a career-ending factual mistake reaching a managing director very low. · no date given · not yet resolved
“It's not is it right or wrong, it's comparative. Is, is there something that's better than this? And I think models are gonna get much better, uh, along that dimension moving forward.”
Expects: Models will probably improve substantially at comparative judgments of taste in the future. · no date given · not yet resolved
“And so humans are still th- really valuable in making these models better. And so we rely, we will rely a lot on, uh, human preference, um, to imbue things like taste.”
Expects: Human preferences will probably play a large role in giving models taste, while humans remain valuable for improving models. · no date given · not yet resolved
“So that's one. Um, the last thing I'll kind of add is there's precedent for this, which makes us confident that this strategy will work, and that precedent, I would say, is coding.”
Expects: The speaker expects that combining verifiable rewards with human preference will work, based on coding progress as a precedent. · no date given · not yet resolved
“And that is a human preference that looks a lot like, does this code look clean? Is it well-written? And I think our success in coding gives me confidence that we can solve a lot of these problems in finance as well.”
Expects: The speaker's success in coding gives them confidence that many analogous evaluation problems in finance can be solved. · no date given · not yet resolved
“And, and I think because of the combination of those two things, I feel confident we'll make a lot of strides in 2027.”
Expects: The speaker expects continued base-model scaling and research focus to produce substantial progress in 2027. · 1 Jan 2027 – 31 Dec 2027 · not yet resolved
All 17 predictions
“And so yeah, and so the idea is, like, we'll have something like investment banking eval that predicts, you know, if you score well on this eval, you could probably automate a lot of the work of a junior analyst, uh, in investment banking.”
Expects: The speaker's team expects that a high score on a proposed investment-banking evaluation would indicate that a model could probably automate much of a junior analyst's work in investment banking. · no date given · not yet resolved
“And so yeah, and so the idea is, like, we'll have something like investment banking eval that predicts, you know, if you score well on this eval, you could probably automate a lot of the work of a junior analyst, uh, in investment banking.”
Expects: A high score on an investment-banking evaluation could indicate that a model can probably automate much of a junior analyst's work. · no date given · not yet resolved
“And so hopefully we'll have some cool announcements there. Um, two, yes, my team is hiring. Uh, we're seeing incredible, uh, customer traction with the product, and, uh, because of that, we're hiring and, and scaling the team rapidly.”
Expects: The speaker hopes OpenAI will announce further access for prosumers to ChatGPT for Financial Services. · no date given · not yet resolved
“Yeah. Um, safety's super, super important. Um, I would say that, like, a- and it's only gonna get more important, uh, because the au- the, you know, the agents are already getting more autonomous and more independent, and I think that trend will be expected to continue, uh, into '27, into '28.”
Expects: AI safety will grow in importance as agents become more autonomous and independent, and the speaker expects this trend to continue into 2027 and 2028. · 1 Jan 2027 – 31 Dec 2028 · not yet resolved
“And that worked for us well, and it was easy to communicate. Um, so that was wonderful. I will say we're thinking very deeply about what comes next, and, and what comes next looks different, uh, than, than a productivity tool, um, that sits and, and is always being monitored by a human.”
Expects: The team's future product direction will differ from a productivity tool continuously monitored by a human. · no date given · not yet resolved
“And so as we think about the progression going into twenty twenty-seven, what I would say is I expect the model to get much better at the human taste component, and that's what I was kind of alluding to in my keynote is, I think the model will get much better at human taste on things that are softer objective functions.”
Expects: The speaker expects models to improve substantially at human taste by 2027, particularly on tasks with softer objective functions. · by 31 Dec 2027 · not yet resolved
“It's a combination of those two things. Um, I think that, like, we've solved a lot of the low-hanging fruit in those two things, and so going into 2027, we're gonna start to move up the stack, right? We're gonna go from the tasks that a junior analyst can do, to some of the tasks that an associate can do, to some of the tasks that an MD would do, and move up that chain. And as you move up the chain, what I would say is the objectives become much fuzzier.”
Expects: The speaker expects AI systems to move beyond tasks performed by junior analysts and begin performing associate- and managing-director-level tasks starting in 2027, because much of the low-hanging fruit in the two previously discussed areas has been solved. · from 1 Jan 2027 · not yet resolved
Appearances
Claims per episode
- 31 Oct 2026⚡ Building ChatGPT for Finance — Joseph Kim, OpenAI's Head of Financial ServicesLatent Space: The AI Engineer Podcast · guest