exactly, this will eliminate some jobs, but anyone who’s asked an LLM to fix code longer than 400 lines knows it often hurts more than it helps.
which is why it is best used as a tool to debug code, or write boilerplate functions.
Do you think AI for programmers will be like CAD was for drafters? It didn’t eliminate the position, but allows fewer people to do more work.
this is pretty much what i think, yeah.
a lot of programming/software design is already kinda that anyway. it’s a bunch of people who were educated on computer science principles, data structures, mathematicians, and data analytics/stats who write code to specs to solve very specific tool problems for very specific subsets of workers, and who maintain/update legacy code written decades ago.
now, yeah, a lot things are coded from scratch, but even then, you’re referencing libraries of code written by someone awhile ago to solve this problem or serve this purpose or do thing, output thing. that’s where LLMs shine, imo.
No. More high-level languages with less abstraction leakage are like CAD for drafters. Not “AI”.
I personally would want such tools to be more visual and more like systems, not algorithms.
Like interconnected nodes in a control system. Like PureData for music, or like LabView. Maybe more powerful and general-purpose.
But the fact that this tech really kicked off just three years ago and is already threatening so many jobs, is pretty telling. Not only will LLMs continue to get better, but they’re a big step towards AGI and that’s always been an existential crisis we knew was coming. This is the the time to start adapting, quick.
They didn’t just appear out of nowhere, they’re the result of decades of research and development. You’re also making the assumption that additional progress is guaranteed. AI has hit walls and dead ends in the past, there’s no reason to assume that we’re not hitting a local maximum again right now.
And there’s no reason to believe that it is. I know there’s been speculation about model collapse and limits of available training data. But there’s also been advancements like training data efficiency and autonomous agents. Your response seems to ignore the massive amounts of progress we’ve seen in the space.
Also the computer, internet, and smart phone were based on decades of research and development. Doesn’t mean they didn’t take off and change everything.
The fact that you’re saying AI hit walls in the past and now we’re here, is a pretty good indication that progress is guaranteed.
What does it threaten really?
It works for contact centers for bots to answer short simple questions, so that agents’ time would be used more efficiently. I’m not sure it saves that much money TBF.
It works for image classification. And still needs checking.
It works for OCR. And still needs checking.
It works for voice recognition and transcription, which is actually cool. Still needs checking.
but they’re a big step towards AGI
What makes you think that? Was the Mechanical Turk a big step towards thinking robots?
They are very good at pretending to be that big step for people who don’t know how they work.
You’re right that it doesn’t save too much money making people more efficient. That’s why they will replace employees instead. That’s the threat.
Yes they make mistakes. So do people. They just have to make less than an employee does and we’re on the right track for that. AI will always make mistakes and this is actually a step in the right direction. Deterministic systems that rely on concrete input and perfectly crafted statistical models can’t work in the real world. Once the system it is trying to evaluate (most systems in the real world) is sufficiently complex, you encounter unknown situations where you have to spend infinite time and energy gathering information and computing… or guess.
Our company is small and our customer inquiries increased several fold because our product expanded. We were panicking thinking we needed to train and hire a whole customer support department overnight, where we currently have one person. But instead we implement AI representatives. Our feedback actually became more positive because these agents can connect with you instantly, pull nebulous requests from confusing messages, and alert the appropriate employee of any action needed. Does it make mistakes? Sure, not enough to matter. It’s simple for our customer service person to reach out and correct the mistake.
I think people that think this isn’t a big deal for AGI don’t understand how the human mind works. I find it funny when they try and articulate why they think LLMs are just a trick. “It’s not really creating anything, it’s just pulling a bunch of relevant material from its training data and using it as a basis for a similar output.” And… What is it you think you do?
You’ll get blindsided real quick. AIs are just getting better. OpenAI are already saying they moved past GPT for their next models. It’s not 5 years before it can fix code longer than 400 lines, and not 20 before it can digest a specification and spout a working software. Said software might not be optimized or pretty, but those are things people can work separately. Where you needed 20 software engineers, you’ll need 10, then 5, then 1-2.
You have more in common with the guy getting replaced today than you care to admit in your comment.
Edit: not sure why I’m getting downvoted instead of having a discussion, but good luck to you all in your careers.
i didn’t downvote you, regardless internet points don’t matter.
you’re not wrong, and i largely agree with what you’ve said, because i didn’t actually say a lot of the things your comment assumes.
the most efficient way i can describe what i mean is this:
LLMs (this is NOT AI) can, and will, replace more and more of us. however, there will never, ever be a time where there will be no human overseeing it because we design software for humans (generally), not for machines. this requires integral human knowledge, assumptions, intuition, etc.
LLMs (this is NOT AI)
I disagree. When I was studying AI at college 20+ years ago we were also talking about expert systems which are glorified if/else chains. Most experts in the field agree that those systems can also be considered AI (not ML though).
You may be thinking of GAI or Universal AI which is different. I am a believer in the singularity (that a machine will be as creative and conscious as a human), but that’s a matter of opinion.
I didn’t downvote you
I was using “you” more towards the people downvoting me, not you directly. You can see the accounts who downvoted/upvoted, btw.
Edit: and I assumed the implication of your comment was that “people who code are safe”, which is a stretch I was answering to. Your comment was ambiguous either way.
Where you needed 20 software engineers, you’ll need 10, then 5, then 1-2.
It’s an open secret that this is already the case. I have seen projects that went on for decades and only required the engineering staff they had because corporate bureaucracy and risk aversion makes everyone a fraction as effective as they could be, and, frankly, because a lot of ineffective morons got into software development because of the $$$ they could make.
Unless AI somehow eliminates corporate overhead I don’t understand how it’ll possibly make commercial development monumentally easier.
Yeah people think AI is what sci-fi movies sold them. Hyper intelligent - hyper aware sentient beings capable of love or blah blah blah. We’ll get there, but corps don’t need that. In fact that’s the part they don’t want. They need a mindless drone to replace the 80% of their workers doing brainless jobs.
They need a mindless drone to replace the 80% of their workers doing brainless jobs.
Yeah the problem there is that they don’t know their own staff enough to know who are the people doing brainless jobs.
