spyhi
Joined 11 years ago
Joined 11 years ago
The link above also has an example of the use of multiple shadows to create a more naturalistic feel, namely that in the real world we are accustomed to, one source of light creates multiple kinds of shadows because of reflections from clouds, objects, etc.
This is all linked to physical realism, to help carry over our expectations of what the world looks like into a (in this case) digital space.
Perhaps the most egregious is your position on black shadows being the best and physically most realistic color to blend with, when in reality pure black doesn't exist in nature almost at all, it's just how our brains process things and if you actually use pure black then things will look subtly wrong--I know because I used to do that and learning to stay away from black where possible after taking a basic design course was one of the things that best improved the feel of my designs. Like, there's decades of research in the arts, sciences, and design community about this! It works for a reason.
For the sake of brevity, I'll leave this blog post here that explains it better and more in depth: https://ianstormtaylor.com/design-tip-never-use-black/
One thing that people also aren’t pointing out is that Space is considered a multi-trillion dollar market for whoever can access it due to the Wild West “if you can reach it, it’s yours” resource policies, which is why it attracts so much investment for long term projects. Many sectors that need investment in fundamental research don’t have those properties (untapped, unclaimed resources you can look to the sky and see), and therefore don’t attract the same kind of money.
[1] https://www.theverge.com/2019/6/18/18683455/nasa-space-angel...
Also, investors have things thing about inventing the future by funding it. Generally, individually or as a group, they'll decide something is going to be the next big thing and start cultivating deals in that area. One you can see happening in real time is space: Randomly in the last couple of years, investors have put together huge funds around space ventures, even though serious commercialization still seems to be a ways off. Even OP referenced it in his blog post.
As for why a founder vs a compensated product owner? Because a founder presumably has spent a lot of time thinking about the problem and is intrinsically motivated to solve it--so much so that they've done all the legwork to assemble a team and gather enough data to be investment-worthy. If as an investor you're wrong about the opportunity in this space, it's a whole lot of risk and cost and time you don't have to take on yourself. By advertising a pot of money, instead of searching for the right person, the hope is that the right person and team will eventually come to your door.
"I very quickly realized that" <- Implying a prior assumption that was proven false
"very smart people" <- The set of very smart people OP has met, which hinges on perspective
"often" <- The key phrase here, implying that it is generally (but not always) true
"have very little knowledge of finance and business." <- The assumption at hand
I'm assuming OP thinks of STEM people as the definition of "very smart," based on his description of his degree, and his feelings about coding. OP may have assumed that since his knowledge is comparatively trivial for STEM people to learn, the knowledge might be widespread among what he thinks of as smart people, and was surprised when this valuable knowledge wasn't. In my experience, the average kind of person I'm assuming OP would consider "very smart" is either averse to business, or didn't bother learning business because it took time away from the hard problems they were more interested in, even though they easily could have.
More generally, the total set of obviously and profoundly smart people is bound to be (much) bigger than the set of obviously and profoundly intelligent people with knowledge of finance. Are there smart business people? Absolutely. But it's probably a small percentage when compared with the total set of Very Smart People. Also, at least in my school, the smartest people tend to go into harder disciplines, so that may further dilute the numbers of finance knowledge among the pool of Very Smart People.
So, there are multiple ways OP's statement can be true without being specifically about the capacity of intelligent people to learn finance through study or experience.
This was exactly why I chose to do a BBA alongside my CS degree. If I was gonna make something, I wanted to make sure it would have some impact on the real world. I tell people: CS is a tool for solving problems, but business is a tool for finding them.
For what it's worth, I was one of those people. I didn't go for my undergrad until 8 years into my adult life (I'm a veteran), but I had done extensive reading about business to the point that most of my BBA (which I was taking as a bonus alongside CS) felt like review. Except for finance. I knew the basics, but even undergrad courses revealed that my knowledge was very shallow. I think it's just something that people don't expect to have that much complexity. I wouldn't have thought to learn it if I hadn't been forced to take it in school, but I took as many finance courses as I could once I realized the knowledge deficit.
Is finance hard? The sophisticated stuff can be, but generally in comparison to engineering it's not. But nonetheless, nearly none of the computer scientists in my class or in my professional circles have bothered to learn...probably because they're more interested in compilers ;)
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