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I think the key is to focus and prioritize whatever you want or need in life. I actually find a lot of the content on HN to be uninteresting and maybe click on

I think the key is to focus and prioritize whatever you want or need in life. I actually find a lot of the content on HN to be uninteresting and maybe click on one or two links a week. I’ve also landed on this state after an 8 year career where I feel pretty good about what I know already and that I can learn what I need to learn. Over my life, I’ve learned a lot of stuff in many different fields; I don’t limit myself to tech. For example, I love cooking, making music, drawing, and reading about and practicing mental health. If I find something I genuinely want to learn, it’s just a matter of spending focused time learning it. I also believe it’s important to know when to cut off an interest that is no longer serving you. While discipline is important to push through discomfort and overcome adversity, it’s really silly to be wholly invested in a topic or hobby that brings you no value in life. That value can be monetary or happiness or growth. But it’s important to know that you don’t have to know everything and it’s really silly to do so. There will always be something you don’t know. For you, maybe ask yourself why do you want to know all these things? Maybe you can identify if they serve you in a way. Of those that you believe will make your life better, spend 30 minutes every day or every other day learning from the ground up about the topic. Maybe put it into practice, or just take a course on it. Regularly reflect on if this is what you want to be doing, if your making meaningful progress towards whatever goal you have, and celebrate your successes!

Mc91 4y ago
>> Crypto, ML, Data, Quantum Computing > I think the key is to focus and prioritize I think prioritizing is the key. Part of that is figuring out What is past its prime (Cobol on punch cards), or never really had its day in the sun at all. What is dull but you can make money with, which will probably be around in some form five years from now too (backend programming of micro-services with a popular JVM language) What exciting things are coming into being now which might have some jobs or interesting applications now, or perhaps a lot more in a few years (training and using deep learning models). Crypto nowadays is mostly a scam which began unwinding over a year ago. Probably best to ignore it, its day is past. Quantum computing is interesting but it's such early days that you can put off reading about it this year if you're overwhelmed. ML and big data have had a lot of interesting applications this year. GPT, Stable Diffusion, DALL-E. I can do some pretty cool things on my workstation with Stable Diffusion that was not able to do five months ago. If you have time to look into something new this would be it. As I said, there's modern but dull and not much new innovation things, which there is steady work and money in like React front end programming, or JVM Microservice backend programming, or whatever. There are also things like deep learning which are going from innovation to innovation, which is exciting and may open up a whole new field (Stability AI just got $100 million in funding, although things are so new, they only started putting their hiring team together last month - they're mainly recruiting recruiters right now).

Mc91 4y ago

>> Crypto, ML, Data, Quantum Computing > I think the key is to focus and prioritize I think prioritizing is the key. Part of that is figuring out What is past its prime (Cobol on punch cards), or never really had its day in the sun at all. What is dull but you can make money with, which will probably be around in some form five years from now too (backend programming of micro-services with a popular JVM language) What exciting things are coming into being now which might have some jobs or interesting applications now, or perhaps a lot more in a few years (training and using deep learning models). Crypto nowadays is mostly a scam which began unwinding over a year ago. Probably best to ignore it, its day is past. Quantum computing is interesting but it's such early days that you can put off reading about it this year if you're overwhelmed. ML and big data have had a lot of interesting applications this year. GPT, Stable Diffusion, DALL-E. I can do some pretty cool things on my workstation with Stable Diffusion that was not able to do five months ago. If you have time to look into something new this would be it. As I said, there's modern but dull and not much new innovation things, which there is steady work and money in like React front end programming, or JVM Microservice backend programming, or whatever. There are also things like deep learning which are going from innovation to innovation, which is exciting and may open up a whole new field (Stability AI just got $100 million in funding, although things are so new, they only started putting their hiring team together last month - they're mainly recruiting recruiters right now).