The example are contrived, but still very real.
Responsible use of Claude behaves much the same, just within my budget
People have done this work by hand for years and years, and now when they've been using LLMs to do it 5x faster for a couple of years, suddenly they'd be unable to work the traditional way? Please
And even in the case of outage, I can keep my computer running on a battery or a backup generator.
Its great that you can keep your computer running, 1/3 of my information is ithe cloud (which is not a problem at all, even today) and 100% of my infrastructure is in the cloud.
Its not a problem at all, that a service has an outage. My laptop also had an outage when the logic board broke. Took 2 days to fix so what
Yes. Not completely unable all at once, but they certainly get worse at it fast.
https://www.thelancet.com/journals/langas/article/PIIS2468-1...
Losing skills die to over reliance on technology is not a new phenomenon and not exclusive to LLM use, but they of course exacerbate it by so pervasively touching so many areas.
https://www.scientificamerican.com/article/how-gps-weakens-m...
If the OP had hours they’d probably be fine.
My different smug answer is: I bought a laptop with 64G of RAM before the RAM bubble and would try throwing qwen3 or gemma at it.
A bit off-topic, but "I" just created my own editor yesterday, maybe took 5 hours and it does everything I need, and I no longer need to swap between VS Code and Zed.
Even better, if cave painting was good enough thousands of years ago it is good enough today.
When I was still teaching, I’d do this sometimes. Just do a lecture with a whiteboard and draw data structures and algorithms. It’s often much more engaging than prepared slides.
Yes, I know it doesn’t work for every possible presentation, but for many it does.
And for larger work presentations the expectation even 30 years ago was not whiteboards; that is very inefficient. It was transparencies. But try printing those in a pinch. And finding a projector.
(Yes, I know that the slippery slope is in jest.)
But for many, they use it as a productivity multiplier. They can still get the job done, just slower. The problem is that the rest of the supply chain likely doesn't care, management deadlines likely don't have 'do without AI' timelines any longer, so if we define the "job" as needing to meet the deadlines and not just complete the task eventually, people will find themselves unable to do their "job" without AI.
These both can be simplified as "not being able to do your job without AI", but I propose we have little to gain and a decent bit to lose by doing anything that treats these two situations as the same.