For now, ML research and development is too complicated and frustrating for me to dedicate the time and energy to become skilled in it.
215 karma · joined July 6, 2020
For now, ML research and development is too complicated and frustrating for me to dedicate the time and energy to become skilled in it.
Conversely I don’t think this applies as much to sciences. After I pivoted away from music to become a software engineer, I discovered a world that never ceases to captivate me and elicit curiosity no matter how much I grow. In fact the more expertise I’ve developed, the more intense my interest becomes.
Also in school we had to do some big projects like make a virtual machine from scratch and implement things likes call stacks, threading and memory management with our machine op codes. Doing a big long project that really pushes you out of your comfort zone is a BIG help and also can be an opportunity to do something really fun.
Edit: I left out the important role of asking questions, talking with others and even taking the time to compose a forum post or issue on github when it seems that I’ve truly exhausted all my options. Bottom line is, when I took my time and really tried my best to learn something new/difficult there was always an eventual breakthrough and consequential boost in confidence
More broadly speaking, AI applications like chatGPT can save you a ton of time looking up a bunch of tools just to accomplish an incredibly boring task. This can help to keep you focused on the far more interesting and challenging aspects of work. Often, the solutions yielded from these interactions end up revealing to me a built in bash tool or python lib that I had no idea even existed. To me it’s like stackoverflow on steroids if you know how to use it
Also, AI chat bots can be extremely effective learning resources. A few weeks ago, I wanted to implement a digital low pass audio filter and didn’t know more than a few basic concepts. I asked chatGPT to explain the concepts with code examples. What followed was several late nights of just asking it follow up questions and very detailed discussions on the various aspects of filters. I got a primer on digital signal processing, bilinear transforms and filter design. I fed it snippets from free text university textbooks asking it to walk me through concepts and explain the things that would have been completely over my head. This was extremely useful since many books will assume you have a strong background in topics that can takes weeks to get a grip of assuming you even have a teacher.
All in all, I see AI as a tool as disruptive and empowering as the Gutenberg printing press, radio or internet was for humans. I highly recommend trying some of this stuff out and seeing how you can use it to enhance your workflow and learning process.
Either way, my observation is simply that I could see a lot of parties finding the advancement of human potential through AI to be harmful to the status quo that they comfortably exist in.