At one point it output "Excellent! the backend is working and the database is created." heh i remember being all wide eyed and bushy tailed about things like that. It definitely has the feel of a new hire ready to show their stuff.
btw, i was very impressed with the end result after a couple hours of basically just allowing claudecode to do what it wanted to do. Especially with front-end look/feel, something i always spend way too much time on.
I fear the true impact is much different than extrapolating current trends.
(As a musician) i never invested in a personal brand or taking part in the social media rat race and figured I concentrate on the art / craft over meaningless performance online.
Well guess who is getting 0 gigs now because “too few followers/visibility” (or maybe my music just sucks who knows …)
I'm a little biased though since I work in chip design and I maintain an open source EDA project.
I agree with their take for the most part, but it's really nothing insightful or different than what people have been saying for a while now.
Somehow the more senior you are [in the field of use], the better results you get. You can run faster and get more done! If you're good, you get great results faster. If you're bad, you get bad results faster.
You still gotta understand what you're doing. GeLLMan Amnesia is real.
It's a K-type curve. People that know things will benefit greatly. Everyone else will probably get worse. I am especially worried about all young minds that are probably going to have significant gaps in their ability to learn and reason based on how much exposure they've had with AI to solve the problems for them.
Of course, but how do you begin to understand the "stochastic parrot"?
Yesterday I used LLMs all day long and everything worked perfectly. Productivity was great and I was happy. I was ready to embrace the future.
Now, today, no matter what I try, everything LLMs have produced has been a complete dumpster fire. Not even Opus will follow basic instructions. My day is practically over now and I haven't accomplished anything other than pointlessly fighting LLMs. Yesterday's productivity gains are now gone, I'm frustrated, exhausted, and wonder why I didn't just do it myself.
This is a recurring theme for me. Every time I think I've finally cracked the code, next time it is like I'm back using an LLM for the first time in my life.
This is the way. I think I'd like to be a barista or deliver the mail once all the jobs are gone.
If a task before would take you ten hours to think through the thing, translate that into an implementation approach, implement it, and test it, and at the end of the ten hours you're 100% there and you've got a good implementation which you understand and can explain to colleagues in detail later if needed. Your code was written by a human expert with intention, and you reviewed it as you wrote it and as you planned the work out.
With an LLM, you spend the same amount of time figuring out what you're going to do, plus more time writing detailed prompts and making the requisite files and context available for the LLM, then you press a button and tada, five minutes later you have a whole bunch of code. And it sorta seems to work. This gives you a big burst of dopamine due to the randomness of the result. So now, with your dopamine levels high and your work seemingly basically done, your brain registers that work as having been done in those five minutes.
But you now (if you're doing work people are willing to pay you for), you probably have to actually verify that it didn't break things or cause huge security holes, and clean up the redundant code and other exceedingly verbose garbage it generated. This is not the same process as verifying your own code. First, LLM output is meant to look as correct as possible, and it will do some REALLY incorrect things that no sane person would do that are not easy to spot in the same way you'd spot them if it were human-written. You also don't really know what all of this shit is - it almost always has a ton of redundant code, or just exceedingly verbose nonsense that ends up being technical debt and more tokens in the context for the next session. So now you have to carefully review it. You have to test things you wouldn't have had to test, with much more care, and you have to look for things that are hard to spot, like redundant code or regressions with other features it shouldn't have touched. And you have to actually make sure it did what you told it to, because sometimes it says it did, and it just didn't. This is a whole process. You're far from done here, and this (to me at least) can only be done by a professional. It's not hard - it's tedious and boring, but it does require your learned expertise.
It's why Elon and others had been pushing the Fed to lower them.
Am in my late 40s working in tech since the 90s. The tech job economy is way closer to the pre-2010s.
Whole lot of people who jumped into easy office job money still living in 2019.
For example the fact that AI can code as well as Torvalds doesn't displace his economic value. On the contrary he pays for a subscription so he can vibe code!
The actual work AI has displaced is stuff like: freelance translation, graphic illustration, 'content writing' (writing seo optimized pages for Google) etc. That's instructive I suppose. Like if your income source can already be put on upwork then AI can displace it
So even in those cases there are ways to not be displaced. Like diplomatic translation work can be part of a career rather than just a task so the tool doesn't replace your 'job'.
What impact, what expectation, how uncertain is this assessment of “may be”? Are you feeling understimulated enough to click and find out?
That's not fine IMO. That is a basic bit of knowledge about a car and if you don't know where the radiator cap is you will eventually have to pay through the nose to someone who does know (and possibly be stranded somewhere). Knowing how to check and fill coolant isn't like knowing how to rebuild a transmission. It's very simple and anyone can understand it in 5 minutes if they only have the curiosity.
Modern cars, for the most part, do not leak coolant unless there's a problem. They operate a high pressure. Most people, for their own safety, should not pop the hood of a car.
A car still feels weirdly grounded in reality though, and the abstractions needed to understand it aren't too removed from nature (metal gets mined from rocks, forged into engine, engine blows up gasoline, radiator cools engine).
The idea that as tech evolves humans just keep riding on top of more and more advanced abstractions starts to feel gross at a certain point. That point is some of this AI stuff for me. In the same way that driving and working on an old car feels kind of pure, but driving the newest auto pilot computer screen car where you have never even popped the hood feels gross.
ihuzaifazahoor1•1h ago