(12-16-2022, 02:13 AM)Johannesbrst Wrote: Thanks for your reply.
Regarding being ready for it, I will take the time to be emotionally and mentally healed as I understand this will put in a higher gear needing the basics to be in place.
Commitment isn't an issue. I see this a as multi year commitment already.
I'm wondering though if I should take some time, maybe with MLS to dive deeper into ML as I feel this is something that will be necessary in reaching my full potential.
Also, you kind of replied to my main question but just to confirm, so you think Maverick would help me find a direction to work in and creating a business from?
EDIT:
Reading your MLS journal made me think that it is perhaps the best way to progress. I loved math as younger but unfortunately left thst trail a bit. But now working as a programmer and diving into AI it has started to come back.
I think that my potential lies therein. In working in the field between business and technology. Having a few years experience from working in venture capital and a few years in programming will be a good foundation, but I need to get down to the core of the technology to really be able to leverage them both, I believe.
So perhaps MLS will be the way to go for 1-1,5 years. Soaking up as much as I can from AI and the underlying math and getting well acquainted by it. And perhaps then Maverick could be the way to take it to the next level.
EDIT2: But perhaps it's not about becoming an expert but rather start becoming an entrepreneur in something. I'm maybe just afraid to take the step. However I still have the issue that I need to find an area to start something in.
Here's my two cents on this. I've been an entrepreneur myself and I've had some successes and some failures along the way. The one thing that always drove me is the doing. Risk is an unavoidable aspect of life and if you want any kind of success, you will have to take risks and be ready to fail.
The old samurai warrior Musashi once said "the only way to survive a battle, is to go into it ready to die." Business is no different.
Also, if you're stuck in a specific sector or opportunity, you're already losing when it comes to cost. ML is very cool and there are multiple opportunities that everyone is looking to explore with it. It's also incredibly saturated as far as market share goes, not to mention you have to consider the type of methodology you're going to use for your program, the amount of training data you need, and whether you're looking at doing something more in the deep learning space or sticking to easier methods such as using Bayesian and gradient descent for weighted pattern recognition.
But this approach isn't really an effective one for starting a business, for a few reasons, the most prominent being you are trying to engineer a solution and then build a market around that.
There is a certain amount of action you need to take to get into business. Un-ironically, and I'm quoting myself here from some of my older journals, but it's like approaching a woman. You can step to any woman with all the plans, liners, escalation methods that you get from PUA books and videos. But, once the interaction is underway, you will undoubtedly pivot several times, reframe your strategy, and then finally settle into it intuitively and just know and that's when things pop off in an amazing way. Business is no different. Throw the rule books out and get ready to either have the fuck of your life or crash at the opening. But that's also what makes it so exciting. And that's how you ultimately should be approaching the whole idea of being an entrepreneur.
If you want to use Maverick, I would suggest you use it with no anticipation or programmatic goal. The reason I say this is because the sub, if allowed to do it's thing properly, will open opportunities for you and create synergies you weren't even aware existed. But if you go into it with the idea that it's going to help you identify a niche, you'll probably be consciously steering too hard and ultimately drop the sub for not fulfilling your expectations.
I hope this answered some of your questions.
