Imagine we had this technology 20 years ago and we switched to fully automated web design.
I bet all web design would still be deeply nested tables.
I doubt that something like React, Vue, Svelte would exist.
I doubt that something like React, Vue, Svelte would exist.
Because there's a ton of pandas code on GitHub (much of it trash) any data task asked of ChatGPT/Claude inevitably returns some pandas (mostly correct, but often wrong/inefficient/ugly/hard to grok).
How could a new library (like Polars, or my own failed "redframes") possibly unseat pandas now? Might LLMs actually lead us to, and get us stuck in, a "local maximum" of sorts?
My version: Can an auto AI create cumulative knowledge (the core of the scientific method)?
My take is no. You can use it to identify gaps (opportunities) in research or to summarise research, but can it actually come up with a novel and consistent theory?
Not to mention the inefficiency of a pure table approach, so much wasted render time and energy.
It was amazing two decades ago when we came together as an industry and refocused our priorities on making the web faster and more energy efficient</sarcasm>
In fact, in some sense, the number of Assembly engineers might not have decreased at all, aka wasn’t impacted. There were simply new avenues for new sorts of engineers to enter the field and start producing (C back then, web development today as the tech furthest removed from low levels).