There is a cool sandbox game on steam called “Plasma” that offers a graphical programming environment which includes a basic PID controller. I was really impressed with how easily I was able to make a cube float almost perfectly in 3D space within that game by only using 3 of these controllers (mainly the P and D portions) and some thrusters by monitoring the pitch and roll angles, and how high above the ground the cube was. I was even more impressed when adding some weight to one side of the cube and seeing the system compensate for it automatically.
The process of tuning the gains on the different inputs of the controllers, then seeing how the system responded made me think about how this is a similar yet much simpler process to training ML models.
I’ve always been a bit skeptical of how easily one would be able to make changes to something as complex as a large ML model, but looking at it like tuning a very complex PID controller kind of made it seem less like black magic to me for some reason
I can’t imagine you will get many quality responses to this post, so I’m going to give you some advice, not out of disrespect but because I have met so many people like you in my career, and you can be better than that.
If you really want to even attempt to work on any of the problems besides recruiting you mention above, or attract technical talent to help you work on these problems, learn to become technical yourself. Proficiency with no code tools is not going to cut it, being the idea person while someone else builds everything is a recipe for disaster and disappointment almost always.
If you refuse to be technical but are serious about starting a tech company, pick one of your ideas and at the very least research what kind of technical people you want to recruit. Someone who can help you live in the metaverse is going to have a very different skill set than someone who can make a robot that people want to put in their apartments, and you won’t be able to tell the difference by just asking them to tell you about the big achievements they have collected over the years.
I’m glad you are excited to work on things that interest you, I’m happy that you have had some success getting funding and selling a company, but reading this post does not make me feel the same way about the opportunity to work with you to solve hard technical problems.
To become that person you either need to ideally convince me that you will be an active participant in the hard, technical work that needs to be done or at least that you already have an idea, a plan of some kind, and a possible way of making money past VC funding. Asking me to email you an achievement list does not build confidence in any of these areas.
Reframe the way that you think about what you want to work on, does it actually matter to you beyond the potential monetary gain? What if you could only work on 3 different things for your entire life, what would they be and why?
The process of tuning the gains on the different inputs of the controllers, then seeing how the system responded made me think about how this is a similar yet much simpler process to training ML models.
I’ve always been a bit skeptical of how easily one would be able to make changes to something as complex as a large ML model, but looking at it like tuning a very complex PID controller kind of made it seem less like black magic to me for some reason