Inference is the new sales and marketing - PLG 2.0 is here
“And so we've in the feedback we've heard is that people actually feel like now this is, like, a very competitively fast model than before.”
GPT 5.3 codex, that model is, like, significantly more efficient than prior models. And so we've in the feedback we've heard is that people actually feel like now this is, like, a very competitively fast model than before. So there's a lot of things you can do just in terms of the model. There are also things you can do with, like, improving how you do inference.
So we recently rolled out a change where in the API, like, those models are served, like, 40% faster, and in codecs, they're served 25% faster. So I think, like, speed matters a lot, and we're kind of approaching it from all angles, like both the hardware, how you do inference, and the model level. You mentioned earlier about kind of putting it in the hands of users, and we talked about inference there. One of my dear friends is Jason Lemkin from SaaSter, and he says that actually inference is the new sales and marketing. Instead of sales and marketing teams, you're paying for inference so users can onboard quickly, easily see value, and you will actually see the removal of sales and marketing teams. It's kind of like next gen of PLG.
About this clip
OpenAI's Head of Codex discusses how GPT 5.3 Codex has become significantly faster through model improvements and infrastructure optimizations, achieving 40% speed gains in API and 25% in Codex. The clip explores a provocative thesis that inference costs are replacing traditional sales and marketing spend, creating a new form of product-led growth where AI handles user onboarding and value demonstration.
Why this clip
Presents a compelling prediction about how AI inference will fundamentally replace traditional sales and marketing functions, backed by concrete performance improvements in OpenAI's models.
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