Godbole: GPT-5 is so new that we have given it to only certain users. The full rollout will happen only in the middle of August. Then it takes about four to six weeks for us to get a more comprehensive point of view.
I think employees are more focused on, am I getting my answers? Am I getting them faster? I don't know if I can just go to a financial analyst and say, ‘Hey, what is the difference between a GPT-4o and a GPT-5? I think they may be just saying, ‘Hey, it's getting better.’ And as we connect it to more and more data sources, they’ll feel like, ‘Wow, it's found this information I used to have on SharePoint, and it just found it all for me.’
WSJLI: When it comes to actually rolling out GPT-5, what will that process look like?
Godbole: We have built a foundry, which basically means that we are able to talk to different models and switch models as required. We are going to connect to GPT-5 through that same foundry infrastructure that was built in-house.
The way we roll it out is, we'll always have the ability to say, ‘Hey, we send 50% of traffic to GPT-4o, and 50% of traffic to GPT-5. So between GPT-4o and GPT-5, I can always get a fifty-fifty reaction. Generally, that is a statistically significant sample, about 25% to 50% of users.
WSJLI: Based on your feedback so far, where do you think GPT-5 can make the most impact on certain business functions?
Godbole: The other day, I was trying to write a paper together for an upcoming offsite of our technology staff. It's a small meeting, and I was putting a document together about, how do we decide the prioritization?
It was really a thinking exercise for me more than anything else. When I was going through that exercise, I was using GPT-5, and it felt like it was almost going back and forth in a very intellectual discussion, putting together a comprehensive view about how we would think about this problem.
Also, parts of marketing who are trying to do analysis about cohorts of customers. Are we providing enough personalization? Are we making sure that we are creating messages that resonate with our customers? We could absolutely make use of these models.
The other area where I feel really optimistic is when you are doing a lot of financial analysis and you're trying to figure out trends and numbers and you're trying to put together correlations, I feel like that we could really benefit from this model.
|