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We mourn our craft

nolanlawson.com

421–430 of 918 posts

Re: We mourn our craft

#421

I started programming over 40 years ago because it felt like computers were magic. They feel more magic today than ever before. We're literally living in the 1980s fantasy where you could talk to your computer and it had a personality. I can't believe it's actually happening, and I've never had more fun computing. I can't empathize with the complaint that we've "lost something" at all. We're on the precipice of somet…

The golden age for me is any period where you have the fully documented systems. Hardware that ships with documentation about what instructions it supports. With example code. Like my 8-bit micros did. And software that’s open and can be modified. Instead what we have is: - AI which are little black boxes and beyond our ability to fully reason. - perpetual subscription services for the same software we used to “own”.…

> perpetual subscription services for the same software we used to “own”.

In another thread, people were looking for things to build. If there's a subscription service that you think shouldn't be a subscription (because they're not actually doing anything new for that subscription), disrupt the fuck out of it. Rent seekers about to lose their shirts. I pay for eg Spotify because there's new music that has to happen, but Dropbox?

If you're not adding new whatever (features/content) in order to justify a subscription, then you're only worth the electricity and hardware costs or else I'm gonna build and host my own.

Re: We mourn our craft

#422
post #238

I started programming over 40 years ago because it felt like computers were magic. They feel more magic today than ever before. We're literally living in the 1980s fantasy where you could talk to your computer and it had a personality. I can't believe it's actually happening, and I've never had more fun computing. I can't empathize with the complaint that we've "lost something" at all. We're on the precipice of somet…

> I can't empathize with the complaint that we've "lost something" at all. We could easily approach a state of affairs where most of what you see online is AI and almost every "person" you interact with is fake. It's hard to see how someone who supposedly remembers computing in the 80s, when the power of USENET and BBSs to facilitate long-distance, or even international, communication and foster personal relationship…

I grew up on 80's and 90's BBSes. The transition from BBSes to Usenet and the early Internet was a magical period, a time I still look back upon fondly and will never forget.

Some of my best friends IRL today were people I first met "online" in those days... but I haven't met anyone new in a longggg time. Yeah, I'm also much older, but the environment is also very different. The community aspect is long gone.

Re: We mourn our craft

#424

LLMs are only a threat if you see your job as a code monkey. In that case you're likely already obsoleted by outsourced staff who can do your job much cheaper. If you see your job as a "thinking about what code to write (or not)" monkey, then you're safe. I expect most seniors and above to be in this position, and LLMs are absolutely not replacing you here - they can augment you in certain situations. The perks of a…

There are many tens (hundreds?) of billions of dollars being poured into the smartest minds in the world to push this thing forward I'm not so confident that it'll only be code monkeys for too long

> the smartest minds in the world

Dunning–Kruger is everywhere in the AI grift. People who don't know a field trying to deploy some AI bot that solves the easy 10% of the problem so it looks good on the surface and assumes that just throwing money (which mostly just buys hardware) will solve it.

They aren't "the smartest minds in the world". They are slick salesmen.

Re: We mourn our craft

#425
post #103

Earlier quoted context omitted.

> We're on the precipice of something incredible. Total dependence on a service?

The quality of local models has increased significantly since this time last year. As have the options for running larger local models.

The quality of local models is still abysmal compared to commercial SOTA models. You're not going to run something like Gemini or Claude locally. I have some "serious" hardware with 128G of VRAM and the results are still laughable. If I moved up to 512G, it still wouldn't be enough. You need serious hardware to get both quality and speed. If I can get "quality" at a couple tokens a second, it's not worth bothering.

They are getting better, but that doesn't mean they're good.

Re: We mourn our craft

#426
post #103

I started programming over 40 years ago because it felt like computers were magic. They feel more magic today than ever before. We're literally living in the 1980s fantasy where you could talk to your computer and it had a personality. I can't believe it's actually happening, and I've never had more fun computing. I can't empathize with the complaint that we've "lost something" at all. We're on the precipice of somet…

> We're on the precipice of something incredible. Total dependence on a service?

Between the internet, or more generally computers, or even more generally electricity, are we not already?

Re: We mourn our craft

#427
As a very old school programmer who taught myself assembler in 1982 on an 8-bit 4K micro, I don't see much to mourn here.

* People still craft wood furniture from felled trees entirely with hand tools. Some even make money doing it by calling it 'artisanal'. Nothing is stopping anyone from coding in any historical mode they like. Toggle switches, punch cards, paper tape, burning EPROMs, VT100, whatever.

* OP seems to be lamenting he may not be paid as much to expend hours doing "sleepless wrangling of some odd bug that eventually relents to the debugger at 2 AM." I've been there. Sometimes I'd feel mild satisfaction on solving a rat-hole problem but more often, it was significant relief. I never much liked that part of coding and began to see it as a failure mode. I found I got bigger bucks - and had more fun - the better I got at avoiding rat-hole problems in the first place.

* My entire journey creating software from ~1983 to ~2020 was about making a thing that solved someone's problem better, cheaper or faster - and, on a good day, we managed all three at once. At various times I ended up doing just about every aspect of it from low-level coding to CEO and back again, sometimes in the same day. Every role in the journey had major challenges. Some were interesting, a few were enjoyable, but most were just "what had to get done" to drag the product I'd dreamt up kicking and screaming into existence.

* From my first teenage hobby project to my first cassette-tape in-a-baggie game to a $200M revenue SaaS for F100, every improvement in coding from getting a floppy disk drive to an assembler with macros to an 80 column display to version control, new languages, libraries, IDEs and LLMs just helped "making the thing exist" be easier, faster and less painful.

* Eventually, to create even harder, bigger and better things I had to add others coding alongside me. Stepping into the player-coach role amplified my ability to bring new things into existence. It wasn't much at first because I had no idea how to manage programmers or projects but I started figuring it out and slowly got better. On a good day, using an LLM to help me "make the thing exist" feels a lot like when I first started being a player-coach. The frustration when it's 'two steps forward, one back' feels like deja vu. Much like current LLMs, my first part-time coding helpers weren't as good as I was and I didn't yet know how to help them do their best work. But it was still a net gain because there were more of them than me.

* The benefits of having more coders helping me really started paying off once I started recruiting coders who were much better programmers than I ever was. Getting there took a little ego adjustment on my part but what a difference! They had more experience, applied different patterns, knew to avoid problems I'd never seen and started coming up with some really good ideas. As LLMs get better and I get better at helping them help me - I hope that's were we're headed. It doesn't feel directionally different than the turbo-boost from my first floppy drive, macro-assembler, IDE or profiler but the impact is already greater with upside potential that's much higher still - and that's exciting.

Re: We mourn our craft

#428
post #103

Earlier quoted context omitted.

> We're on the precipice of something incredible. Total dependence on a service?

prefrontal cortex as a service

yup, all these folks claiming AI is the bees knees are delegating their thinking to a roulette that may or may not give proper answers. the world will become more and more like the movie idiocracy

Re: We mourn our craft

#429
post #151

To the people who are against AI programming, honest question: why do you not program in assembly? Can you really say "you" "programmed" anything at all if a compiler wrote your binaries? This is a 100% honest question. Because whatever your justification to this is, it can probably be used for AI programmers using temperature 0.0 as well, just one abstraction level higher. I'm 100% honestly looking forward to findin…

I'm all for AI programming. But I've seen this conversation on HN already 100 times. The answer they always give is that compilers are deterministic and therefore trustworthy in ways that LLMs are not. I personally don't agree at all, in the sense I don't think that matters. I've run into compiler bugs, and more library bugs than I can count. The real world is just as messy as LLMs are, and you still need the same te…

  > The answer they always give is that compilers are deterministic and therefore trustworthy in ways that LLMs are not.
I don't see this as a frequent answer tbh, but I do frequently see claims that this is the critique.

I wrote much more here[0] and honestly I'm on the side of Dijkstra, and it doesn't matter if the LLM is deterministic or probabilistic

  It may be illuminating to try to imagine what would have happened if, right from the start our native tongue would have been the only vehicle for the input into and the output from our information processing equipment. My considered guess is that history would, in a sense, have repeated itself, and that computer science would consist mainly of the indeed black art how to bootstrap from there to a sufficiently well-defined formal system. We would need all the intellect in the world to get the interface narrow enough to be usable, and, in view of the history of mankind, it may not be overly pessimistic to guess that to do the job well enough would require again a few thousand years.
  - Dijkstra: On the foolishness of "natural language programming"
His argument has nothing to do with the deterministic systems[1] and all to do with the precision of the language. His argument comes down to "we invented symbolic languages for a good reason".

[0] https://news.ycombinator.com/item?id=46928421

[1] If we want to be more pedantic we can actually codify his argument more simply by using some mathematical language, but even this will take some interpretation: natural language naturally imposes a one to many relationship when processing information.

Re: We mourn our craft

#430
I dont get the hype.. And I dont think we will reach peak AI coding performance any time soon.

Yes, watching an LLM spit out lots of code is for sure mesmerizing. Small tasks usually work ok, code kinda compiles, so for some scenarios it can work out.. BUT anyone serious about software development can see how piece of CRAP the code is.

LLMs are great tools overall, great to bounce ideas, great to get shit done. If you have a side project and no time, awesome.. If your boss/company has a shitty culture and you just want to get the task done, great. Got a mundane coding task, hate coding, or your code wont run in a critical environment? please, LLM that shit over 9000..

Remember though, an LLM is just a predictor, a noisy, glorified text predictor. Only when AI reaches a point of not optimizing for short term gains and has built-in long term memory architecture (similar to humans) AND can produce some linux kernel level code and size, then we can talk..

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