WSJLI: Tell us about your experience using GPT-5.
Carr: My initial experience was similar to a lot of the press, where it's like, hmm, this feels like incremental rather than breakthrough. My day-to-day use is through Microsoft products, the various Microsoft Copilots. It feels good, but it does feel somewhat incremental.
Our coders like GPT-5. It's a good bit better at coding than previous OpenAI models, so we're pretty bullish on using it going forward for coding.
WSJLI: Sometimes we hear that enterprises like to be ‘model agnostic’ in their approach. Is that the case for you?
Carr: I wouldn't say we want to be model-agnostic. I think we want to not put all our eggs in one basket. The different model providers tend to leapfrog each other, so you don't want to paint yourself in a corner. A lot of the GenAI-based coding we do, we do through GitHub Copilot, which has done a good job of making different models available within the tool.
People should definitely use GPT-5 and figure out what are the use cases where that's your go-to model, but definitely not turn a blind eye to other models. And I would expect that developers would continue to use a healthy set of models in their day-to-day coding.
WSJLI: Does OpenAI have the legs to become a true enterprise vendor? Are you tempted by their ChatGPT enterprise tool?
Carr: We think there could very well be some advantages to using something like ChatGPT Enterprise. And Anthropic has a product in that space, Amazon has a product in that space. So there's a lot of people competing in that space, and there are some attractive features there. We don't have enough usage yet to say, ‘Oh my gosh, this is so much better,’ but we think that it is definitely worth trying.
|