31–40 of 79 posts
For the love of all that is holy, I cannot read another 5 page AI post that could've been like 200 words. Just make it a paragraph or two and write using your brain, people. Does everything have to be ran through an AI? I'm sure there's some decent ideas in here, but I'm not wasting my time reading this slop.
I saw someone use the term "orchestration", which seems to be the word for building the software using LLM tools. It made me think of the conductor, seemingly the most skillless job in the orchestra. All you do is wave the batton, no need to ever play a instrument. If LLMs are doing the hard part (writing code) then we can be the conductor waving the batton. But of course the visuals are misleading. Being conductor d…
I saw someone use the term "orchestration", which seems to be the word for building the software using LLM tools. It made me think of the conductor, seemingly the most skillless job in the orchestra. All you do is wave the batton, no need to ever play a instrument. If LLMs are doing the hard part (writing code) then we can be the conductor waving the batton. But of course the visuals are misleading. Being conductor d…
I like your metaphor even as someone who can be a bit skeptical of the overly broad promises of LLM’s/AI. But I do think this statement is too generous. It implies way too much actual musical ability. It also means that everything I can imagine musically is possible which it just isn’t, as there are limitations just like with real musicians.
If we want to really make the metaphor work, it’s an orchestra full of very informed people who have read a lot about music and have an idea of what their instrument should sound like and can even make whatever they’re holding sound like the appropriate instrument most of the time sort of. With our direction, our “conducting,” their success goes up.
But ultimately: they aren’t real musicians, they aren’t holding the right instruments, and they haven’t actually been taught how to read music. They are just often good at sort of making it work in a way that approximates what we want.
> The barrier to entry has effectively collapsed. Google, Apple, Meta, X, Bluesky, Shopify, Stripe and all the big software companies must be really shaking in their boots for disruption against the army of vibe coders. /s (They are actually laughing at all of them)
What a random set of companies to choose. You'd probably need to think critically about each one of those when assessing the accuracy of your statements.
All of the mentioned named companies have network effects, distribution and trust.
Not quite easy to copy. Disposable LLM gen'd code without users is cheap, which is the point of the article.
In other words, yes we have CNC machines and electric saws and whatnot, reliable to a certain degree (you can still injure yourself badly), but it doesn't remove the need of a carpenter, because a carpenter also knows how to make a hammer from scratch even if he doesn't make one in his entire life.
This post is AI generated slop.
What makes you think it is?
But really the only issue is it's monotone linkedin still insight fluff and you can't tell where the prompt ends and the LLM crap begins. I expect something interesting was put into the LLM, but the LLM has destroyed the author's ability to communicate it with me effectively. Everything is overinflated to the same level of importance and I can't tell what the author actually cared about expressing.
I saw someone use the term "orchestration", which seems to be the word for building the software using LLM tools. It made me think of the conductor, seemingly the most skillless job in the orchestra. All you do is wave the batton, no need to ever play a instrument. If LLMs are doing the hard part (writing code) then we can be the conductor waving the batton. But of course the visuals are misleading. Being conductor d…
So what you wrote does not bode well for the profession.
If your job is to write code, you are being replaced. If your job is to use technology to solve problems, your job just got a lot more interesting.
You model inference provider and any intermediaries get to watch what you’re designing from behind the curtain and copy, train on, or sell the insights if you’re not paying attention.