Exactly. How hard is it to understand for people?
If you don't ride your bicycle for years and years because you can just write "drive yourself"
Then your skills are atrophying. Typing isn't a skill
If you don't ride your bicycle for years and years because you can just write "drive yourself"
Then your skills are atrophying. Typing isn't a skill
It's an established fact by now that if you know coding then you can get better output from Sonnet than vibe coders can from Opus
We’ve known that one important component for learning (not the only thing that matters, but an important one) is the memorization of facts.
There seems to be a big urge to pretend that’s not true. E.g. you can learn arithmetic without memorizing your multiplication tables, literature without engaging with the canon, and now apparently coding without even having coded.
The idea is if we start with a top-down conceptual approach we will eventually vibe our way into knowledge acquisition. Which does sort of work.
However, sorry to be a curmudgeon, but the people who just “do the work” and actually spend time on task to learn a bunch of stuff … are actually more knowledgeable on average.
How? If you don't learn multiplication tables you're multiplying on the go. And that's inefficient
Also, this isn't the right analogy. I get where you're coming from.
We move on to the higher form. Like we don't need to code in binary, or assembly language We got C, Python. We then got compilers.
But LLMs are just english. There is no skill here in writing the prompt. "Give me a crud app that does xyz" is hardly a skill
Tomorrow if AI data centers fail then what do we do of the typing skills?
When we shifted from Assembly to Compiled languages or to Python. We still had to learn something else
Here, using AI, its just English.