We're using 20 to 25 different models because creating the output that Gamma creates requires so many different layers of expertise.

The reality is is even Gamma doesn't use just one model.

15:34 / 16:16

Monday partner meeting for venture firms right now is how much value is ultimately going to accrue to the model companies versus how much will accrue to the application companies. The reality is is even Gamma doesn't use just one model. If the model companies could create a phenomenal presentation, we we would only have to use one model. Definitionally, we we're using I think 20 to 25 different models because creating the output that Gamma creates requires so many different layers of expertise that you have to source from multiple different APIs and infrastructure providers and image generation providers and foundation model companies.

Why this clip

Reveals the technical complexity behind AI applications that most people don't understand. The specific number (20-25 models) makes it concrete and challenges the assumption that AI apps just use one model.

15:34 - 16:1642sDomain Expertise

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We are sixteen, seventeen years post the iPhone moment. The expectations of software have dramatically risen. You have to have a really snappy, buttery user experience.

11:48 - 37s · Consequences

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