The Patreon of AI

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There's a framework that actually this guy James Cham at Bloomberg Beta helps me think through, which is thinking about the AI and human relationship as an intern to manager relationship. If I innovate on the data set by coming up with a new way to answer this problem or phrase this thing in a job post and that has a positive business outcome, it helps close the job post faster, whatever the outcome is, I should get paid. We need to be building with this, the use cases where accuracy is important and it's tied to important business outcomes. Building with this framework in mind, I think is likely to create positive outcomes. But right now, so much of the conversation is the opposite,

How do you build defensible business value in an era when, as AngelList CEO Avlok Kohli said on our last ACQ2 episode, the “cost of intelligence is going to zero”? Longtime friend of the show Jake Saper and his partners at Emergence Capital have been refining their thesis for this brave new world of Generative AI in B2B, and we sit down with him to discuss. We cover topics including:

When do exactly correct answers matter, and when do they not?
When are human-in-the-loop systems necessary?
When do startups have an advantage vs. incumbents, and vice-versa?
Where can companies capture value on a durable basis?
When do you need proprietary data in order to be defensible?

Whether you’re building or investing in existing businesses from the “pre-AI” era or brand new startups that are native to GPT, this episode has plenty of takeaways you should consider. Tune in!

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