Earlier quoted context omitted.
> A flat tire is a flat tire, no matter whether a recession is going on or whether LLMs are causing chaos in white collar work. There’s really not much stopping changing tires from being automated away. Further standardization of tires or wage increases would probably do the trick. There’s still plenty of software to be created. You’ll probably have to learn some ML tricks or whatever, but there’s nothing going away,…
There’s really not much stopping changing tires from being automated away. Sounds like you've never changed a tire. Or at least not outside of a very controlled environment.
I'm OK being left behind, thanks
651–660 of 800 posts
Re: I'm OK being left behind, thanks
#652Earlier quoted context omitted.
I think my employer should buy me a laptop and possibly a monitor or two to help my productivity because I subjectively feel they'd be helpful, and I have the market power to insist on tools that I subjectively feel are helpful. If my CEO announced that monitors are super important and everyone will be tracked on monitor space usage going forwards, I would still want to see evidence that this is going to accomplish s…
Your CEO likewise subjectively feels all of their employees using AI will be helpful, and has the market power to insist that their employees use them. When engineers demand evidence that AI is productive, but not that having laptops and monitors are productive, it screams confirmation bias. "I'm right, you're wrong" as a default prior.
I would emphasize that I don't think there's anything particularly wrong with the converse either. If an executive is just absolutely convinced that dual monitors are a scam and nobody needs more than their laptop screen, they can run their company that way, and I'm sure there are many successful companies with that philosophy.
Re: I'm OK being left behind, thanks
#653Then of course, there are MANY problems starting with BTC https://blog.dshr.org/2025/09/the-gaslit-asset-class.html but they generally aren't what most people talk about, and today, even if the complexity is insane, the documentation sparse, and the code quality questionable, Lightning is actually the only truly scalable solution we have for micropayments and payments of various amounts, generally not large ones. It has some absurd aspects, but that hardly matters. It works.
More generally, we don't have a crystal ball; where we can, we diversify, certainly limiting risk but also taking a bit of a gamble; where we can't, we choose to watch and see how it goes, knowing that we'll pay for it in terms of returns.
As things stand for me personally, given the level of IT obscenity in the traditional banking world, which in 2026 still doesn't have decent APIs open to retail customers, or at least decent export functions, shameful websites, a push towards completely unacceptable mobile apps, absurd limits etc etc etc, well, the worst CEx is less bad than the best bank. I don't trust either, but I distrust the CEx less than the bank, and given Wikileaks, Francesca Albanese, the protesters in Canada, the various private individuals illegally "sanctioned" by the EU Commission and so on, I'd say it's madness to rely on banks for anything more than the bare minimum.
Most people today know nothing of this and don't weigh it up, but they will, and they'll pay for this delay with their lack of attention.
Re: I'm OK being left behind, thanks
#654Earlier quoted context omitted.
You aren't holding it wrong, the truth is AI is a mixed bag, leaning towards a liability. If people really counted all the time they spend coddling the AI, trying again, then trying again and again and again to get a useful output, then having to clean up that output, they would see that the supposed efficiency gains are near zero if not negative. The only people it really helps are people who were not good at coding…
> If people really counted [...] Exactly. I counted and reported my results in a previous thread [0]. [0] https://news.ycombinator.com/item?id=47272913
So then Claude starts discecting the instructions. I start writing some code.
After a while Claude is done, and I've written about two or three dozen lines of code. Claude is way off, so I have to think about why and then write more instructions for it to follow. Then I continue coding.
After a while Claude is done, and I've written about three dozen more lines of code. Claude is closer this time, but still not right. Round 3 of thinking about how Claude got it wrong and what to tell it to do now. Then I continue coding.
After a while Claude is done (yet again), and I've written a lot more code and tested it and it's working as needed. The output Claude came up with is just a little bit off, so I have it rework the output a little bit and tell it to run again.
I downloaded the resulting code Claude wrote and compared it to my solution, and I will take my solution every single time. Claude wrote a bloated monstrosity.
This is my experience with "AI", and I'm honestly not loving it.
It does sometimes save me time converting code from one language to another (when it works), or implementing simple things based on existing code (when it works), and a few other tasks (when it works), but overall I end up asking myself over and over "Is this really how developers want the future to be?"
I'm skeptical that these LLM-based coding tools will ever get good enough to not make me feel ill about wasting my time typing instructions to them to produce code that is bloated and mostly not reusable.
Re: I'm OK being left behind, thanks
#655Earlier quoted context omitted.
Being a quant is inherently accumulating and growing someone's wealth for them, even if it's not your own. If there were a way to be a true Robin Hood and only extract wealth from the wealthy and redistribute that to poor, I'd call that a noble cause, although finance is not my field (nor is crime, for that matter) so it's not for me. My chosen wealth multiplier is working at a community-owned cooperative, building t…
Not sure about this because many charities are designed to spend their income, rather than hoard it. A big part of choosing which charity to donate to is, or should be, how effective they are in spending what you give them.
I also, candidly, haven't ever seen anyone successfully do that.
Re: I'm OK being left behind, thanks
#656Earlier quoted context omitted.
I think you're right that it is fear. But it's kind of a self fulfilling fear. Teams are requiring employees to use AI, probably because of this fear. Maybe it isn't directly taking my job, but it is necessary for me to use Ai to keep my job.
I agree that it's self-fulfilling. I just feel that it's being used more as a tool for compliance than for direct productivity.
Re: I'm OK being left behind, thanks
#657Earlier quoted context omitted.
What I get a bit annoyed is companies forcing AI tools, getting usage metrics and actively hunting the engineers that don't use the tool "enough", I've never seen anything like it for a technically optional tool. Even in the past, aside from technical limitaions, you were not required to use enough of a tool. It just sounds like a giant scheme to burn through tokens and give money to the AI corps, and tech directors…
I'm just using Copilot CLI for mindless stuff and set it to the premium models to meet the quota, as long as they can't see the prompts I think I should be fine
Re: I'm OK being left behind, thanks
#658Earlier quoted context omitted.
You aren't holding it wrong, the truth is AI is a mixed bag, leaning towards a liability. If people really counted all the time they spend coddling the AI, trying again, then trying again and again and again to get a useful output, then having to clean up that output, they would see that the supposed efficiency gains are near zero if not negative. The only people it really helps are people who were not good at coding…
Imagine you are a JS dev and github comes out with a new search feature that's really good. it lets you use natural language to find open source projects really easily. So whenever you have a new project you check to see if something similar exists. And instead of starting from scratch you start from that and tweak it to fit what you want to do. If you were the type of person who makes tiny toy apps, or you worked on…
Re: I'm OK being left behind, thanks
#659Earlier quoted context omitted.
But this learning is also value. Without playing around with it, you wouldn't know when to use an LLM and when not.
But the models change every 3-6 months. What's the use of learning what they can and can't do when what they can and can't do changes so frequently?
Why would I do that? Well, I wanted to understand more deeply how differences in my prompting might impact the outcomes of the model. I also wanted to get generally better at writing prompts. And of course, improving at controlling context and seeing how models can go off the rails. Just by being better at understanding these patterns, I feel more confident in general at when and how to use LLMs in my daily work.
I think, in general, understanding not only that earlier models are weaker, but also _how_ they are weaker, is useful in its own right. It gives you an extra tool to use.
I will say, the biggest findings for "weaknesses" I've found are in training data. If you're keeping your libraries up-to-date, and you're using newer methods or functionality from those libraries, AI will constantly fail to identify with those new things. For example, Zod v4 came out recently and the older models absolutely fail to understand that it uses some different syntax and methods under the hood. Jest now supports `using` syntax for its spyOn method, and models just can't figure it out. Even with system prompts and telling them directly, the existing training data is just too overpowering.
Re: I'm OK being left behind, thanks
#660“There are a 16,000 new lives being born every hour. They're all starting with a fairly blank slate. Are you genuinely saying that they'll all be left behind because they didn't learn your technology in utero?” This is a great framing.
I think the framing just doesn't help at all.