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hamsterbooster | 1 year ago

I would say the opposite. We want to make sure that we build our systems in a way that it get better as foundational model becomes better.

Our thesis is that foundational models will become good and affordable enough to be used in almost all data processing pipelines. We build systems on top of that to manage workflows, integrations, and data applications that people may want to develop.

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CuriouslyC|1 year ago

Seems like you want foundational models to become better at doing what you want when you give it your "magic" prompt, while not becoming smart enough to not need your magic prompt at all.

I'd need to actually dig into your product to make an informed statement but my guess is that if you build your business around AI secret sauce you're going to get your business eaten and pivot or fail, and if you build your business around a UI and specific integrations/tools real customers you're already in contact with want right now, you'll be ok.