Howard Ko, Partner at Morpheus Ventures, offers insights on AI startups during a recent VC panel. He emphasizes the importance of unique data access and creation, warning against reliance on publicly available LLMs. Ko stresses the value of a "compounding moat" - the ability to iterate and improve based on proprietary data, setting companies apart in the competitive AI landscape. #VentureCapital #Startup #aifounder #vc #ai #founder

we probably are trying to avoid actually AI to some degree. Do you actually have a data mode coming in? Do you have a unique access or creation of data that nobody else has? If you're just accessing data using kind of publicly available alone, you can do it in two weeks, look at the next guy, right? And then the secondary to that is, do you have a compounding mode from the data that you have access to and you're iterating on? So that's why I say, like, we actually, to some extent, avoid AI, and largely just because a lot of the companies we see really don't have that, and you see a lot of it. Transcribed by https://otter.ai