Day1 of 30-day ML-maths/python revision I only had about 2-3 hours today. slow start but its about consistency Math: Covered vectors, transformation, span, basis, and linear transformation as matrices in math. Python: Basic from the very beginning not much progress in python

Are You Really Learning or Just Faking the Grind Gang, I think we are overusing AI to the point where it’s becoming more than just a tool to help us code. It’s turning into something we rely on for its knowledge to write code for us. If the code works, we say, “Hey, it works! Now it’s time to implement that other complex thing.” The problem is, we’re not growing in knowledge. Instead, we’re losing the little knowledge we have right before our eyes. Abstraction is a very good thing, but the moment you start to overuse its power, the more underlying knowledge you miss on the topics you’re trying to learn about. And who is this person or thing with such great power of abstraction? It’s AI. Oh boy, I won’t lie how many times have I just copied and pasted code from an AI prompt straight into my codebase without even touching or going through it? I’m like, “Hey, it works. Why tamper with it? Plus, I have no idea what’s going on anyway. Might as well save some time.” All this reasoning is a lie, guys. You will need to have those underlying concepts to get the bigger picture. Without them and just moving forward with the abstraction provided by the LLM, you’re basically making yourself dumber in that area of concept. Now, don’t get me wrong abstraction is a great power to have. Take, for example, driving a car. You don’t need to know how the whole engine works to drive. All you need to learn is how to control the steering wheel, brake pedals, and change gears (if you drive a manual car, lol). This is an example of its power in our daily lives. When it comes to programming, you’ll definitely appreciate abstraction because it bridges you to the complex parts of computer programming when you’re starting out. It helps you get the bigger picture of all the underlying concepts and how to use them. It’s really great when you’re starting out for the first time. Imagine you have a super-smart phone, but you can’t do anything to it no customization at all. You’re just stuck in that state of staleness for the entire time you’re using it. The same applies to programming. Without the power to change or even know how to tweak certain parts of the code, you’re just being directed on how to use the code, not directing the code how you want it to be used. Abstraction is meant to provide more knowledge to as many people as possible. This means you’ll still need to understand the underlying concepts to create even more complex systems with the guidance of abstraction. Every time you take this route, you also learn and even create new forms of abstraction. The kind of relationship most people and programmers have created with modern technology is way too much. It’s making them forget about the layers of abstraction taken away from them to get where they are and what they want. What’s lacking is the patience to learn these layers and set aside time to understand the kind of abstraction being taken away from you. Do you really need to know them as you move forward? With this kind of mindset, you’re not only making progress in your projects but also learning a lot during the project-building itself. The more informed you are, the easier it becomes to understand the underlying concepts behind these emerging, complex topics. Challenge yourself each day to learn the concepts and question everything. Don’t be afraid to ask questions again and again and again. I mean what's the point of AI anyways. But there’s also another good side to abstraction if you follow the steps above. If you’re familiar with the first principles rule, this actually works better when combined with abstraction. You’ll be able to iterate through these complex topics and go even deeper once you have everything figured out. After getting through those complex ideas, you can now lead others to new forms of innovation through the power of abstraction you’ve created. With a certain level of understanding about abstraction, you’ll be able to guide yourself in creating even more innovative and creative ideas that others can view and appreciate. For example, think about how a very small percentage of humans can understand machine code. But through the power of abstraction, languages like C and Python were born. They removed all the complexity and created something most humans can understand and use in their daily lives. Most of the innovation made nowadays is through the power of abstraction. People take existing knowledge, go down past the abstraction level, understand the fundamentals, and build something new around the basic knowledge of these complex systems. Abstraction allows both simplification and elaboration of new concepts and ideas one might have. Abstraction doesn’t stop here in just the computer programming aspect of things. There are many other ways it applies. Abstraction influences how we view the world, and with the constant improvement of technology, it’s best for you to be more aware of this. Filter out the abstractions you need to question and the ones that are feasible at the moment. Alright, thanks for reading through this. It was my first time ever writing about something that has intrigued me and really trying to understand it better. I think writing down your thoughts about it is one way to do it. I hope this is helpful to you. If yes, don’t forget to share, retweet, and like. Thanks! flowstate is out.