Well I think it's clear that the Silicon Valley folks (rightly or wrongly) are getting frustrated by the focus on "incremental innovation" in technology and it sounds like this is one attempt to foster more ambitious innovation.
While I get the underlying sentiment, it's worth noting that there have been examples of success, e.g. Deepmind with AlphaFold for protein folding with relatively little domain knowledge.
AlphaFold not only depended on a great deal of domain knowledge, it actually used one of the most famous physics-based methods. The only people who think that AlphaGo was made by a bunch of noob AI guys with a neural network are the people who don’t know anything about it.
I said relatively, they certainly had less domain knowledge than the competing teams. I have always been a strong proponent of combining ML and NNs with traditional methods.
Yea when you start with a low IQ premise like this (AGI, etc...) you’re going to get a low IQ result. It would probably be more entertaining for the YC partners to fly themselves to Colorado and watch a couple TED talks. Or they could actually do some cursory reading on these fields and attempt to educate themselves.
That's not solving physics. Physics is not a problem, it's a branch of the natural sciences. We can solve physics-related problems, but it's not like if we've solved enough physics-related problems we have solved physics.
You consider the problem of having your mug at a convenient height and distance from your sitting positing to be solved, but not the coffee table itself.
