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Everyone in Seattle hates AI

jonready.com

541–550 of 1001 posts

Re: Everyone in Seattle hates AI

#541

While everybody else is ranting about AI, I'll rant about something else: trip planning apps. There have been literally thousands of attempts at this and AFAICT precisely zero have ever gotten any traction. There are two intractable problems in this space. 1) A third party app simply cannot compete with Google Maps on coverage, accuracy and being up to date. Yes, there are APIs you can use to access this, but they're…

I use and pay for Wanderlog. Idk how their business is doing, but I love it as a user. They use an embedded Google Maps viewer for locations, so there is no problem for coverage.

Love Wanderlog!

But I use it as a glorified notes app to keep track of flights, reservations, rental cars, confirmation numbers, etc, in one place, not for trip planning.

Re: Everyone in Seattle hates AI

#543

As a Seattle SWE, I'd say most of my coworkers do hate all the time-wasting AI stuff being shoved down our throats. There are a few evangelical AI boosters I do work with, but I keep catching mistakes in their code that they didn't used to make. Large suites of elegant looking unit tests, but the unit tests include large amounts of code duplicating functionality of the test framework for no reason, and I've even seen…

Pretty much. Someone on our team put out a code review for some new feature and then bounced for a 2 week vacation. One of our junior engineers approved it. Despite the fact that it was in a section of dead code that wasn’t supposed to even be enabled yet, it managed to break our test environment. Took senior engineers a day to figure out how that was even possible before reverting. We had another couple engineers take a look to see what needs to be done to fix the bug. All of them came away with the conclusion that it was 1,000 lines of pure AI-generated slop with no redeemable value. Trying to fix it would take more work than just re-implenting from scratch.

Re: Everyone in Seattle hates AI

#544

Earlier quoted context omitted.

It’s kind of fun watching this comment go up and down :) There’s so much evidence out there of people getting real value from the tools. Some questions you can ask yourself are “why doesn’t it work for me?” and “what can I do differently?”. Be curious, not dogmatic. Ignore the hype, find people doing real work.

They're good questions! The problem is that I've tried to talk to the people who are getting real value from it, and often the answer ends up being that the value is not as real as they think. One guy gave an excited presentation about how AI let him write 7k LOC per day, expounded for an entire session about how the rest of us should follow in his shoes, and then clarified only in Q&A that reviewers couldn't keep up…

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Re: Everyone in Seattle hates AI

#545
post #508

Earlier quoted context omitted.

Outside of tech, I think the opinion is generally negative. AI has lost a lot the narrative due to things like energy prices and layoffs.

Globally, the opinion isn't generally negative. It's localized.

What does that mean?

Re: Everyone in Seattle hates AI

#546

Earlier quoted context omitted.

Yeah, "Engineers don't try" is a frustrating statement. We've all tried generative AI, and there's not that much to it — you put text in, you get text back out. Some models are better at some tasks, some tools are better at finding the right text and connecting it to the right actions, some tools provide a better wrapper around the text-generation process. Certain jobs are very easy for AI to do, others are impossibl…

I’ve been an engineer for 20 years, for myself, small companies, and big tech, and now working for my own saas company. There are many valid critiques of AI, but “there’s not much there” isn’t one of them. To me, any software engineer who tries an LLM, shrugs and says “huh, that’s interesting” and then “gets back to work” is completely failing at their actual job, which is using technology to solve problems. Maybe AI…

My dismissal I think indicates exhaustion from the additional work I’d need to do to make an LLM write my code, annoyance at its inaccuracies, and disgust at the massive scam and grift that is the LLM influencers.

Writing code via a LLM feels like writing with a wet noodle. It’s much faster and write what I mean, myself, with the terse was and precision of my own thought.

Re: Everyone in Seattle hates AI

#547

Ex-Google here; there are many people both current and past-Google that feel the same way as the composite coworker in the linked post. I haven't escaped this mindset myself. I'm convinced there are a small number of places where LLMs make truly effective tools (see: generation of "must be plausible, need not be accurate" data, e.g. concept art or crowd animations in movies), a large number of places where LLMs make…

Is it true that it's bad for learning new skills? My gut tells me it's useful as long as I don't use it to cheat the learning process and I mainly use it for things like follow up questions.

I found it useful for learning to write prose. There's nothing quite like instantaneous feedback when learning. The downside was that I hit the limit of the LLM's capabilities really quickly. They're just not that good at writing prose (overly flowery and often nonsensical).

LLMs were great for getting started though. If you've never tried writing before, then learning a few patterns goes a long way. ("He verbed, verbing a noun.")

Re: Everyone in Seattle hates AI

#548

As a Seattle SWE, I'd say most of my coworkers do hate all the time-wasting AI stuff being shoved down our throats. There are a few evangelical AI boosters I do work with, but I keep catching mistakes in their code that they didn't used to make. Large suites of elegant looking unit tests, but the unit tests include large amounts of code duplicating functionality of the test framework for no reason, and I've even seen…

As another Seattle SWE, I'll go against the grain and say that I think AI is going to change the nature of the market for labor for SWE's and my guess would be for the negative. People need to remember that the ability of AI in code generation today is the worst that it ever will be, and it's only going to improve from here. If you were to just judge by the sentiment on HN, you would think no coder worth their weight was using this in the real world—but my experience on a few teams over the last two years has been exactly the opposite—people are often embarrassed to admit it but they are using it all the time. There are many engineers at Meta that "no longer code" by hand and do literally all of their problem solving with AI.

I remember last year or even earlier this year feeling like the models had plateau'd and I was of the mindset that these tools would probably forever just augment SWEs without fully replacing them. But with Opus 4.5, gemini 3, et al., these models are incredibly powerful and more and more SWEs are leaning on them more and more—a trend that may slow down or speed up—but is never going to backslide. I think people that don't generally see this are fooling themselves.

Sure, there are problem areas—it misses stuff, there are subtle bugs, it's not good for every codebase, for every language, for every scenario. There is some sloppiness that is hard to catch. But this is true with humans too. Just remember, the ability of the models today is the worst that it will ever be—it's only going to get better. And it doesn't need to be perfect to rapidly change the job market for SWE's—it's good enough to do enough of the tasks for enough mid-level SWEs at enough companies to reshape the market.

I'm sure I'll get downvoted to hell for this comment; but I think SWEs (and everyone else for that matter) would best practice some fiscal austerity amongst themselves because I would imagine the chance of many of us being on the losing side of this within the next decade is non-trivial. I mean, they've made all of the progress up to now in essentially the last 5 years and the models are already incredibly capable.

Re: Everyone in Seattle hates AI

#549

Ex-Google here; there are many people both current and past-Google that feel the same way as the composite coworker in the linked post. I haven't escaped this mindset myself. I'm convinced there are a small number of places where LLMs make truly effective tools (see: generation of "must be plausible, need not be accurate" data, e.g. concept art or crowd animations in movies), a large number of places where LLMs make…

My friends and I have always wondered as we've gotten older what's going to be the new tech that the younger generation seems to know and understand innately while the older generations remain clueless and always need help navigating (like computers/internet for my parents' generation and above). I am convinced that thing is AI.

Kids growing up today are using AI for everything, whether or not that's sanctioned or if it's ultimately helpful or harmful to their intellectual growth. I think the jury is still out on that. But I do remember growing up in the 90s, spending a lot of time on the computer, older people would remark how I'll have no social skills, I won't be able to write cursive or do arithmetic in my head, won't learn any real skills, etc, turns out I did just fine and now those same people always have to call me for help when they run into the smallest issue with technology.

I think a lot of people here are going to become roadkill if they refuse to learn how to use these new tools. I just built a web app in 3 weeks with only prompts to Claude Code, I didn't write a single line of code, and it works great. It's pretty basic, but probably would have taken me 3+ months instead of 3 weeks doing it the old fashioned way. If you tried it once a year ago and have written it off, a lot has changed since then and the tools continue to improve every month. I really think that eventually no one will be checking code just like hardly anyone checks the assembly output of a compiler anymore.

You have to understand how the context window works, how to establish guardrails so you're not wasting time repeating the same things over and over again, force it to check its own work with lots of tests, etc. It's really a game changer when you can just say in one prompt "write me an admin dashboard that displays users, sessions, and orders with a table and chart going back 30 days" or "wire up my site for google analytics, my tag code is XXXXXXX" and it just works.

Re: Everyone in Seattle hates AI

#550

Earlier quoted context omitted.

Some people really do hate AI, it's not entirely about the layoffs. This is a well insulated bubble but you can find tons of anti-AI forums online.

Some people take find their life meaning through craft and work. When that craft is suddenly less scarce, less special, so does that craft-tied meaning. I wonder if these feelings are what scribes and amanuenses felt when the printing press arrived. I do enjoy programming, I like my job and take pride on it, but I actively try for it not to be the life-mean giving activity. I'm a just mercenary of my trade.

I mean, I would still hate to be replaced by some chat bot (without being fairly compensated because, societally, it's kind of a dick move for every company to just fire thousands of people and then nobody can find a job elsewhere), but I wouldn't be as mad if the damn tools actually worked. They don't. It's one thing to be laid off, it's another to be laid off, ostensibly, to be replaced by some tool that isn't even actually thinking or reasoning, just crapping out garbage.

And I will not be replying to anyone who trots out their personal AI success story. I'm not interested.

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