Some body compared AI as something like a big boulder rolling down a mountain, decimating anything that lies in its path. After giving it a bit of thought, I feel that what humanity is doing with LLM is exactly that.
The problem is not that it is super smart. It is that it is super dumb and super powerful. Like a boulder falling down.
Humanity is like this bunch of utter morons who has rolled a big boulder up a big mountain and let it loose at the top, and standing at the bottom is clapping and cheering seeing it coming down, guided by random collisions in its path, and with real probability that it will land on them....
The right tool for the job. There are tasks for which LLMs are unbelievably helpful. In programming, used well, it can 10x your productivity. (Well maybe not literally, but Nx for non-trivial N.) I've seen really good programmers become even faster since the LLM is doing the grunt work for them and the code produced in the end is just as top notch quality as they produced before, just that now they are much faster.
Of course you can misuse it. Produce mountains of unmaintainable slop, full of issues. But that's true for every tool. Before LLMs already, and there will be future tools too.
So, careful with generalizations please. It's not all just dumb.
>just as top notch quality as they produced before, just that now they are much faster.
No, they are not. There write programs like they write prose. There is 100% adherence to grammar and spelling when they write prose, but yet what they write is unintelligible and needlessly verbose.
When they write computer programs there is 100% adherence to good practices, but eventually the program becomes so unintelligible and verbose that only an LLM can make any sense of it going forward. But even then, changes result in more things breaking than they fix. But the number of bugs slashed goes through the roof. Management is happy!
>Of course you can misuse it.
I think the proper way to use it is to use it as a better search tool. But I don't think AI marketing and valuation is going to be sated by such a use case.
> > just as top notch quality as they produced before, just that now they are much faster.
> No, they are not.
It fascinates me with what conviction you are writing this. You don't know any of the people involved nor how they work or the code they produce. Yet you are certain that what I wrote is false.
I'm speculating now, but you are likely imagining that the LLM-produced code is used as-is, producing a growing slop pile. The cases I'm describing are not like that. Those folks know exactly what they want, how the architecture and the code should look like, and they are getting the LLM to produce it like that. There are quite a few iterations and manual polishing steps too. In the end, the code looks like as if they had written it themselves, just that the whole process was 5x as fast because there is so much quite standard stuff automatically added which would just have been slower by hand.
If you have not experienced this yourself then I understand your attitude, but rest assured, this is possible and I'd caution you to dismiss this.
Of course I disagree because this generalized statement is quite obviously false. Have you used electronics made by hand? Versus made by a machine? You can't possibly claim that a PCB assembly by hand has higher quality than done by a machine. That the transmission of a message by hand from Berlin to Paris is higher quality than if communictations electronics was involved.
Of course you didn't mean that (but you wrote it). You probably mean a creative process. The process I descibed is still having the creative human in the loop. Just that the machine is filling in the gaps that are qualite mechanically fillable. Nothing strange with that.
The problem is when people ignore or dismiss developments in AI purely out of insecurity or a sense of human superiority. Machines don’t have to be superior to humans to dramatically amplify what humans can do.
Well, it's different "man" as well - lowering the barrier to entry means people with less skill but with a machine, and maybe the gift of the gab, can commercially surpass the previous people, whether or not they have a machine available.
I saw the GP as a snarky riposte against the doomerism of the anti-AI crowd.
Technology has been augmenting or replacing human work for as long as the first slab of rock was shoved up an inclined plane (wedge) and popped into its spot in the Great Pyramid.
If I know the code behind the button, I don't have to press it to know what it will do.
If I know how LLM work, and what it is trained on, I don't have to "explore" it to understand what it can do for me. The only variable is how deeply one knows how "LLMs" work, and that makes up all the on going arguments by lay people...
>They even self-organized their own organizational structure.
The boulder, it even found a path down the mountain. on its own, by doing so-amazing path finding its own super amazing path finding algorithm, and all the boulders co-ordinated falling down, ON THEIR OWN! And they all reached the ground!
I tell you! The future may be these boulders washing your underpants and putting you to sleep. It is clear!
That probably seems like a decent analogy if you shallow enough understanding. I think the analogy would fit better if the boulders created and followed traffic rules on the way down. You know like some kinda actual coordination. These systems are obviously much more than just rocks falling where they will. You could at least compare them to those falling marble machines where the marbles do jumps and interact with each other while traveling down the machine.
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