2. https://pubmed.ncbi.nlm.nih.gov/25509828/
3. https://www.researchgate.net/publication/392560878_Your_Brai...
I’m pretty convinced it should be used to do things humans can’t do instead of things humans can do well with practice. However, I’m also convinced that Capital will always rely on Labor to use it on their behalf.
They're going to be rather surprised when this doesn't work as planned, for reasons that are both very obvious and not obvious at all. (Yet.)
Compare this body of work to the body of work that has consistently showed social media is bad for you and has done so for many years. You will see a difference. Or if you prefer to focus on something more physical, anthropogenic climate change, the evidence for the standard model of particle physics, the evidence for plate tectonics, etc.
I'm not saying we shouldn't be skeptical that these technologies might make us lazy or inable to perform critical functions of technical work. I think there is a great danger that these technologies essentially fulfill the promise of data science across industries, that is, a completely individualized experience to guide your choices across digital environments. That is not the world that I want to live in. But, I also don't think that my mind is turning to mush because I asked Claude Code to write some code to make a catboost model that would have taken me a few hours to try out some idea.
We don't practice much using the assembler either, or the slide ruler. I also lost the skill to start an old Renault 12 which I owned 30 years ago, it is a complex process believe me, there were some owners reaching artist level at it.
In an interview setting, while in a meeting, if you're idling on a problem while traveling or doing other work, while you are in an area with weak reception, if your phone is dead?
There are plenty of situations where my problem solving does not involve being directly at my work station. I figured out a solution to a recent problem while at the doctor's office and after deciding to check the API docs more closely instead of bashing my head on the compiler.
>We don't practice much using the assembler either, or the slide ruler.
Treating your ability to research and critically think as yet another tool is exactly why I'm pessimistic about the discipline of the populace using AI. These aren't skills you use 9-5 then turn off as you head back home.
Sad truth is future will most likely invalidate all „knowledge” beside critical thinking.
When you're unemployed, homeless, or cash strapped for other reasons, as has happened to more than a few HNers in the current downturn, and can't make your LLM payments.
And that doesn't even account for the potential of inequality, where the well-off can afford premium LLM services but the poor or unemployed can only afford the lowest grades of LLM service.
When computers were new, they were on occasion referred to as "electronic brains" due to their capacity for arithmetic.
Humans can, with practice, do arithmetic well.
A Raspberry Pi Zero can do arithmetic faster than the combined efforts of every single living human even if we all trained hard and reached the level of the current record holder.
Should we stop using computers to do arithmetic just because we can also do arithmetic, or should we allow ourselves to benefit from the way that "quantity has a quality all of its own"*?
* Like so many quotes, attributed to lots of different people. Funny how unreliable humans can be with information :P
Geesh, doorbell again. Last mile problem? C'mon. Whoever solves the last 30 feet problem is the real hero.
Paintball gun, except with cream fillings instead of paint, and softer shells so they can be fired straight into people's mouths.
Didn't we?