There are amputees that do snowboarding with specially designed prosthesis and boards, so there is certainly a way to take load off weak knees with appropriate gear. OP is just, quite reasonably, not prioritizing this minor dream enough to invest so much time and money in it at the expense of other priorities.
Does "athlete" in your original post have to be only martial art/contact sports? For example, are you medically unable to do absolutely any strength exercises, maybe upper body only, with appropriate support/isolation? A lot of times it's a matter or re framing rather than giving up goals, a lot can be done at home with a pair of adjustable dumbbells.
Lean into medicine, tech and science? Zepbound + strength training is a life transforming miracle and they are coming up with even more effective drugs and modern AI deep research (think coding agent pouring over mountains of data) is amazing at coming up with an investment plan to eventually own a home, for example putting up a downpayment and running a rental in a really cheap area and then eventually using income to finance something more convenient if you are not willing to move.
My point is not that all problems can be solved, but I think what OP is saying is that life is a matter of focus. I am putting plans of a soaring corporate career on ice not because I am 100% sure I couldn't swing it but because trying to would take focus away from things I want more like lifting heavy weights and tinkering with tech at home. But for absolute top priorities, I don't think it's ever worth giving up on the concept. Hard limits can be handled by reframing what success looks like and path to get there, not giving up on the essence.
That blog post is human prompted, anyone who has experience with AI knows the difference between AI originated content (tables and bullet points) and AI spicing up a human prompt with detailed roasting instructions. Been there, done that (harmlessly like mocking concepts not targetting individuals).
Yes, I spend my days writing lots of code using AI (I do rigorously review it, it's still much faster than hand typing) and I get paid enough for it to pay mortgage and send kids to college.
You just need to work on your agent design and prompting skills, modern LLMs are crazy good at all the things you listed with the right context and tools.
Technically yes, but this has nothing to do with LLMs.
You need to be able to write a good spec period, and this has been true as long as programming has existed. The problem is, LLMs cannot write them themselves, and have trouble reasoning out the unstated parts of complex problems if the spec doesn't spell it out.
Developers familiar with the problem space being worked on, however, can reason out the unstated parts, because the unstated parts are usually the bread and butter of the problem space.
Side note: this is often why LLMs trained on synthetic text perform weirdly or badly... the synthetic text is written by people not familiar with the thousands of individual problem spaces that exist out there, and miss important facts or nuance.
LLMs trained on real text, however, is often done without proper license, and are essentially lossy compressed piracy archives. You're damned if you do, you're damned if you don't.
It's the latest form of elitism - like in less sunny countries it's fashionable to be tanned because it means you are rich enough to have time to hang around on the beach while in sunny countries it's fashionable to be light skinned because you are rich enough that you don't have to work in the sun. Disdain for AI is a luxury belief of those who are either talented enough to draw / write / code without or are wealthy enough to not have to.
Is it though? I thought elite engineers needed to consume billions of tokens monthly and/or pay >100 USD subscriptions to AI tools to realize their potential.
Or a belief of those scared that an imploding "AI" bubble will ruin their financial futures. Or just that most of the humans in their own white collar professions will be replaced by AI's.
My news reading AI policy - I will use whatever source for news, AI or human, that gives me the best news. A lot of times it's human, like I appreciate diverse human comments on ycombinator. CNN used to have comments threads on articles and then gave that up because some comments were spicy, so I stopped reading. I don't remember the last time I went to arstechnica, I guess because they didn't standout compared to just asking Grok what's new in tech or browsing Reddit. If they could have used more AI to make their site more interesting, they should have.
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