I like your tutorials so much! I think you're a gift to the ML community. How did you guys secure $10m VC while putting this on the webpage? I'm not criticizing

I like your tutorials so much! I think you're a gift to the ML community. How did you guys secure $10m VC while putting this on the webpage? I'm not criticizing or anything—just want to know how one can pitch an uncertain idea and yet receive generous funding. > We don’t really know what we’re doing If you’ve read this far, then I’ll tell you the honest truth: we don’t actually know what we’re doing. Artificial intelligence is a vast and complex topic, and I’m very skeptical of anyone that claims they’ve got it all figured out. Indeed, Faraday felt the same way about electricity—he wasn’t even sure it was going to be of any import: > “I am busy just now again on Electro-Magnetism and think I have got hold of a good thing but can’t say; it may be a weed instead of a fish that after all my labour I may at last pull up.” Faraday 1931 letter to R. Phillips > But it’s OK to be uncertain. Eric and I believe that the best way to develop valuable stuff built on top of modern AI models is to try lots of things, see what works out, and then gradually improve bit by bit from there. > As Faraday said, “A man who is certain he is right is almost sure to be wrong.” Answer.AI is an R&D lab for people who aren’t certain they’re right, but they’ll work damn hard to get it right eventually. > This isn’t really a new kind of R&D lab. Edison did it before, nearly 150 years ago. So I guess the best we can do is to say it’s a new old kind of R&D lab. And if we do as well as GE, then I guess that’ll be pretty good.