this article is incredibly long and rambly, but please enjoy as this asshole struggles to select random items from an array in presumably Javascript for what sounds like a basic crossword app:

At one point, we wanted a command that would print a hundred random lines from a dictionary file. I thought about the problem for a few minutes, and, when thinking failed, tried Googling. I made some false starts using what I could gather, and while I did my thing—programming—Ben told GPT-4 what he wanted and got code that ran perfectly.

Fine: commands like those are notoriously fussy, and everybody looks them up anyway.

ah, the NP-complete problem of just fucking pulling the file into memory (there’s no way this clown was burning a rainforest asking ChatGPT for a memory-optimized way to do this), selecting a random item between 0 and the areay’s length minus 1, and maybe storing that index in a second array if you want to guarantee uniqueness. there’s definitely not literally thousands of libraries for this if you seriously can’t figure it out yourself, hackerman

I returned to the crossword project. Our puzzle generator printed its output in an ugly text format, with lines like "s""c""a""r""*""k""u""n""i""s""*" "a""r""e""a". I wanted to turn output like that into a pretty Web page that allowed me to explore the words in the grid, showing scoring information at a glance. But I knew the task would be tricky: each letter had to be tagged with the words it belonged to, both the across and the down. This was a detailed problem, one that could easily consume the better part of an evening.

fuck it’s convenient that every example this chucklefuck gives of ChatGPT helping is for incredibly well-treaded toy and example code. wonder why that is? (check out the author’s other articles for a hint)

I thought that my brother was a hacker. Like many programmers, I dreamed of breaking into and controlling remote systems. The point wasn’t to cause mayhem—it was to find hidden places and learn hidden things. “My crime is that of curiosity,” goes “The Hacker’s Manifesto,” written in 1986 by Loyd Blankenship. My favorite scene from the 1995 movie “Hackers” is

most of this article is this type of fluffy cringe, almost like it’s written by a shitty advertiser trying and failing to pass themselves off as a relatable techy

    • thesmokingman@programming.devEnglish
      2·
      1 year ago

      I think that’s a really fair far-future take. I think the most reasonable approach isn’t knee-jerk in either direction (they’re taking our jobs vs they are no threat). I feel that good programmers of the future are going to take advantage of AI capabilities. Copilot does a great job of quickly writing boilerplate code I could write at a slower rate. That in turn gives me more time to focus on things like chunking the problem into method names it could figure out how to write or just writing that complicated business logic myself. All of that comes from my architecture experience and ability to suss out what stakeholders really want, then deliver a minimum viable solution quickly enough to iterate or deliver. The emphasis becomes a focus on soft skills and systems thinking, which is something I feel can come naturally to good programmers today. Getting soft skills isn’t so easy and that might push a lot of folks out.

      No matter what, I feel like a solid programmer is one who knows how to adapt. If you can do that, you can adapt to a future where our code jobs are very different from where they are today. I’m pretty young; I started writing Perl web apps, switched to PHP, did random shit, learned JavaScript, did some Rails, then found my passionate in DevOps/SRE. My selling point pre-leadership was my ability to code, not just write YAML, on top of infra knowledge. I think even in an AI future there’s still an edge or two available, even if it’s just soft skills.

      On a related note, if LLMs get good enough to shove is out, the writing will be on the wall and we should have plenty of time to use said LLMs to write killer software for future us before executives grok the change.

        • thesmokingman@programming.devEnglish
          22·
          1 year ago

          I love your rambling responses! You add a lot of detail and you’re talking about a side of code I don’t touch.

          I think a safety net for you that will continue to exist your entire lifetime is embedded work for the US government or related contracts. I’ve got buds writing embedded code for defense contracts. Stuff like that will take decades to adopt LLMs because of how contracts work and the security process. I’ve got friends at DHS that just finished a fucking Coldfusion migration. Some friends are writing Ada for bombers. Your skills fit that niche pretty well and it’s stable work. The idea is not to use the newest and greatest but rather test in depth with old setups.

          • gerikson@awful.systemsEnglish
            7·
            1 year ago

            Assuming that the current largesse of US defense contracts will survive the LLM-induced collapse of the middle classes is … a take.

            US defense spending is seen as a political holy cow at the moment but its well-paying superstructure is as vulnerable to attacks from the nativist/neo-isolationist right as from the left. Add in a sprinkling of attacks on "woke" corporations and that bomber program is not as safe as you think.

          • self@awful.systemsOPEnglish
            7·
            1 year ago

            if the capitalists succeed in their omnipresent goal to vastly reduce the perceived value of your labor, you can always write terrible code that kills in one of the most tedious languages ever invented

            do these ideas give you comfort

              • self@awful.systemsOPEnglish
                3·
                1 year ago

                When ChatGPT landed a year ago, OpenAI had already finished training GPT-4 (which begun a long time prior). When they released that, it looked like they leapt from GPT-3 to GPT-4 in a few months. The image input capability that came out a few months ago were in the original GPT-4 model (according to their publication at the time); they just disabled it until recently. All of this has been very good at keeping the hype bubble inflated, which has both had the effect of getting investors (and other tech companies) to pour money into the project and making a lot of people really worried for their livelihoods.

                this is an excellent point I haven’t seen before, and it clarifies a lot of the oddness around how these things have been deployed. it’s marketing-oriented development, and it’s being used to paper over the severe limitations in these models

                I don’t know if my worries are reasonable. I’m the sort of person who often worries unreasonably, and I’ve never felt as uncertain about the future of my field as I do at the moment. The one thing I’m absolutely sure of is that there’s no future in which I write code for the US military, though.

                that’s mostly where I’m at too, though I feel like my anxiety has enough reason behind it that I want to actively do something about it — usually something to do with this instance, though a lot of my recent projects (learning a lot more about hardware design languages, planning a community for folks to share their open source work) are deeply influenced by that anxiety too

            • thesmokingman@programming.devEnglish
              12·
              1 year ago

              Do you have anything to else to offer or is your solution to roll over and do nothing? Some of us still have families and networks to support so we can’t just devote all our time to sniping labor on the internet in preparation for the glorious revolution. Given the discussions you have on your instance, I’m kinda disappointed this tepid response is the best you have.

              I should have seen this coming.

            • thesmokingman@programming.devEnglish
              12·
              1 year ago

              Oh my goodness! I apologize for assuming. I read the wrong thing into your comments.

              Do the whims of Silicon Valley greatly affect your market? The most I’ve interacted with non-US markets is running some near-shore consulting with one of the majors (spun up a Mexican firm but the executives wanted to pay local rates for remote US work which is a fucking joke). I also know, should I leave the US, I will have a much lower salary. I’ve hired a fair amount of remote talent in the Americas and India for various jobs; I think a good chunk of that work is the kind that could be replaced by LLMs in the next two decades or so.