Tech is as fun, and even more fun than it used to be, in my opinion.
The software and hardware limitations are a fun challenge (albeit becoming ever so more hard to break) and you can have kids enter at any stage of technology: from a simple terminal only system, to a rpi, or modern computers. You have games, robotics, embedded systems, etc. that are order of magnitude easier to pick up and with far more tutorials (back in my days, I only could find 1 complete tutorial to make games, in C++ + OpenGL and only in English).
I personally wouldn't start anyone off straight with LLMs as I believe it takes away a bit of the self exploration and taking it as slow as needed.
Call me an optimist but I believe being a parent and getting a kid interested in tech hasn't been easier, especially since the social stigma has long since diminished.
"People like (me)".. And what are me and people like me like?
How's about you say what you're comparing me and people like me to.
In my experience, people who use terms like "You people" are just using that as a placeholder for racism, sexism, or ableism. Which is it in your case?
And 100 years ago, when industry took over something, the new thing still needed people. But thats not a hard economic law - thats just what happened before. There is no guarantee of that observation to still hold true.
I appreciate your helping to strengthen my resolve. More importantly, my wife thanks you as well. That said, the increased RAM available on the new models is really what I want. I have lots of programs open simultaneously.
I'm on an M1. I talk myself out of upgrading by remembering that I after a few hours of happiness my actual day-to-day experience won't noticably change.
Yea, that’s what I have been telling myself. The 16 GB of RAM I have on the M1 is starting to be a limiting factor now. If the RAM was upgradable, I would do that and probably keep the M1.
> workers who opposed the use of certain types of automated machinery due to concerns relating to worker pay and output quality... Luddites were not opposed to the use of machines per se (many were skilled operators in the textile industry); they attacked manufacturers who were trying to circumvent standard labor practices of the time.
Yep, I get that some people love the act of literally typing "x = 2;" but to me coding is first and foremost problem solving. I have a problem (either truly mine or someone else's), I come up with a solution in my head and slowly implement it.
Before I also had to code it and then make sure it had no issues.
Now I can skip the coding and then just have something spit out something which I can evaluate whether I believe is a good implementation of my solution or not.
Of course, you need the skill to know good from bad but for medium to senior devs, AI is incredibly useful to get rid of the mundane task of actually writing code, while focusing on problem solving with critical review of magically generated code.
Why even come to this site if you're so anti-innovation?
Today with LLMs you can literally spend 5 minutes defining what you want to get, press send, go grab a coffee and come back to a working POC of something, in literally any programming language.
This is literally stuff of wonders and magic that redefines how we interface with computers and code. And the only thing you can think of is to ask if it can do something completely novel (that it's so hard to even quantity for humans that we don't have software patents mainly for that reason).
And the same model can also answer you if you ask it about maths, making you an itinerary or a recipe for lasagnas. C'mon now.
Agree but you are talking about a POC, and he is talking about reliable, working software.
this phase of LLM are perfect for POCs and there you can have 10x speedup, no question.
But going from a POC to a working reliable software is where most of our time is spent anyway even without LLMS.
With LLMs this phase becomes worse.
we speedup 10x the poc time, we slow down almost as much in the next phases, because now you have a poc of 10k lines that you are not familiar with at all, that have to pay way more attention at code review,
that have to bolt on security as an afterthought (a major slowdown now, so much so that there are dedicated companies whose business model has become fixing Security problems caused by LLM POCs).
Next phase, POCs are almost always 99% happy path. Bolt on edge case as another after thought and because you did not write any of those 10k lines how do you even know what edge cases might be neccesary to cover? maybe you guessed it rigth, spend even more time studing the unfamiliar code.
We use LLM extensivly now in our day to day, development has become somewhat more enjoyable but there is, at least as of now, no real increase in final delivry times, we have just redestributed where effort and time goes.
At our company we use AI extensively to see if we missed edge cases and it does a pretty good job in pointing us towards places which could be handled better.
I know we all think we are always so deep into absolutely novel territory, which only our beautiful mind can solve. But for the vast majority of work done in the world, that work is transformative. You take X + Y and you get Z. Even with brand new api, you can just slap in the documentation and navigate it in order of magnitude faster than without.
I started using it for embedded systems doing something which I could literally find nothing about in rust but plenty in arduino/C code. The LLM allowed me to make that process so much faster.
I don't think that the user you are responding to is anti-innovation, but rather points out that the usefulness of AI is oversold.
I'm using Copilot for Visual Studio at work. It is useful for me to speed some typing up using the auto-complete. On the other hand in agentic mode it fails to follow simple basic orders, and needs hand-holding to run. This might not be the most bleeding-edge setup, but the discrepancy between how it's sold and how much it actually helps for me is very real.
I think copilot is widely considered to be fairly rubbish, your description of agentic coding was also my experience prior to ~Q3 2025, but things have shifted meaningfully since then
Copilot has access to the latest models like Opus 4.6 in agentic mode as well. It's got certain quirks and I prefer a TUI myself but it isn't radically different.
I want AI that cures cancer and solves climate change. Instead we got AI that lets you plagiarize GPL code, does your homework for you, and roleplay your antisocial horny waifu fantasies.
Can you share some resources/books/courses to learn more? I'm interested in exploring working with Chinese vendors and it would be nice to learn from someone else before jumping into it.
How is being able to make phone calls prevent you from being tracked? You're still going to be constantly pinging those cell towers with a unique identifier.
The software and hardware limitations are a fun challenge (albeit becoming ever so more hard to break) and you can have kids enter at any stage of technology: from a simple terminal only system, to a rpi, or modern computers. You have games, robotics, embedded systems, etc. that are order of magnitude easier to pick up and with far more tutorials (back in my days, I only could find 1 complete tutorial to make games, in C++ + OpenGL and only in English).
I personally wouldn't start anyone off straight with LLMs as I believe it takes away a bit of the self exploration and taking it as slow as needed.
Call me an optimist but I believe being a parent and getting a kid interested in tech hasn't been easier, especially since the social stigma has long since diminished.
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