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Posted by mips_avatar 7 hours ago

Everyone in Seattle hates AI(jonready.com)
591 points | 556 commentspage 3
palmotea 6 hours ago|
> But then I realized this was bigger than one conversation. Every time I shared Wanderfugl with a Seattle engineer, I got the same reflexive, critical, negative response. This wasn't true in Bali, Tokyo, Paris, or San Francisco—people were curious, engaged, wanted to understand what I was building. But in Seattle? Instant hostility the moment they heard "AI."

So what's different between Seattle and San Francisco? Does Seattle have more employee-workers and San Francisco has more people hustling for their startup?

I assume Bali (being a vacation destination) is full people who are wealthy enough to feel they're insulated from whatever will happen.

Klonoar 5 hours ago||
I live in Seattle now, and have lived in San Francisco as well.

Seattle has more “normal” people and the overall rhetoric about how life “should be” is in many ways resistant to tech. There’s a lot to like about the city, but it absolutely does not have a hustle culture. I’ve honestly found it depressing coming from the East Coast.

Tangent aside, my point is that Seattle has far more of a comparison ground of “you all are building shit that doesn’t make the world better, it just devalues the human”. I think LLMs have (some) strong use cases, but it is impossible to argue that some of the societal downsides we see aren't ripe for hatred - and Seattle will latch on to that in a heartbeat.

Edit: are -> aren't. Stupid autocorrect.

klardotsh 3 hours ago||
Western Washington is very much a "work to live" place, and in a lot of ways there's a feedback loop to ensure it stays that way: surrounded by fellow "work to live" folks who would far rather just get our work done well and head out to the mountains, forests, and seas, the hustle bros will usually leave within a few years. I've watched it happen with quite a number of type-A folks. Exceptions for folks who make it into certain orgs in Amazon or into startup leadership, those seem to be safe places for hustlers around here.

Anyway. I think you're spot on with the "you all are building shit that doesn't make the world better, it just devalues the human" vibe. Regardless of what employers in WA may force folks to build, that's the mentality here, and AI evangelists don't make many friends... nor did blockchain evangelists, or evangelists of any of the spin-off hype trains ("Web3", NFTs, etc). I guess the "cloud" hype train stuck here, but that happened before I moved out west.

wrs 6 hours ago|||
Seattle has always been a second-mover when it comes to hype and reality distortion. There is a lot more echo chamber fervor (and, more importantly, lots of available FOMO money to burn) in SF around whatever the latest hotness is.
mips_avatar 6 hours ago||
My SF friends think they have a shot at working at a company whose AI products are good (cursor, anthropic, etc.), so that removes a lot of the hopelessness.

Working for a month out of Bali was wonderful, it's mostly Australians and Dutch people working remotely. Especially those who ran their own businesses were super encouraging (though maybe that's just because entrepreneurs are more supportive of other entrepreneurs).

nullbound 6 hours ago||
'If you could classify your project as "AI," you were safe and prestigious. If you couldn't, you were nobody. Overnight, most engineers got rebranded as "not AI talent."'

It hits weirdly close to home. Our leadership did not technically mandate use, but 'strongly encourages' it. I did not even have my review yet, but I know that once we get to the goals part, use of AI tools will be an actual metric ( which is.. in my head somewhere between skeptic and evangelist.. dumb ).

But the 'AI talent' part fits. For mundane stuff like data model, I need full committee approval from people, who don't get it anyway ( and whose entire contribution is: 'what other companies are doing' ).

beloch 6 hours ago||
The full quote from that section is worth repeating here.

---------

"If you could classify your project as "AI," you were safe and prestigious. If you couldn't, you were nobody. Overnight, most engineers got rebranded as "not AI talent." And then came the final insult: everyone was forced to use Microsoft's AI tools whether they worked or not.

Copilot for Word. Copilot for PowerPoint. Copilot for email. Copilot for code. Worse than the tools they replaced. Worse than competitors' tools. Sometimes worse than doing the work manually.

But you weren't allowed to fix them—that was the AI org's turf. You were supposed to use them, fail to see productivity gains, and keep quiet.

Meanwhile, AI teams became a protected class. Everyone else saw comp stagnate, stock refreshers evaporate, and performance reviews tank. And if your team failed to meet expectations? Clearly you weren't "embracing AI." "

------------

On the one hand, if you were going to bet big on AI, there are aspects of this approach that make sense. e.g. Force everyone to use the company's no-good AI tools so that they become good. However, not permitting employees outside of the "AI org" to fix things neatly nixes the gains you might see while incurring the full cost.

It sounds like MS's management, the same as many other tech corp's, has become caught up in a conceptual bubble of "AI as panacea". If that bubble doesn't pop soon, MS's products could wind up in a very bad place. There are some very real threats to some of MS's core incumbencies right now (e.g. from Valve).

kg 6 hours ago||
I know of at least one bigco that will no longer hire anyone, period, who doesn't have at least 6 months of experience using genai to code and isn't enthusiastic about genai. No exceptions. I assume this is probably true of other companies too.

I think it makes some amount of sense if you've decided you want to be "an AI company", but it also makes me wary. Apocryphally Google for a long period of time struggled to hire some people because they weren't an 'ideal culture fit'. i.e. you're trying to hire someone to fix Linux kernel bugs you hit in production, but they don't know enough about Java or Python to pass the interview gauntlet...

empressplay 6 hours ago||
Like any tool, the longer you use it the better you learn where you can extract value from it and where you can't, where you can leverage it and where you shouldn't. Because your behaviour is linked to what you get out of the LLM, this can be quite individual in nature, and you have to learn to work with it through trial and error. But in the end engineers do appear to become more productive 'pairing' with an LLM, so it's no surprise companies are favouring LLM-savvy engineers.
bigstrat2003 5 hours ago|||
> But in the end engineers do appear to become more productive 'pairing' with an LLM

Quite the opposite: LLMs reduce productivity, they don't increase it. They merely give the illusion of productivity because you can generate code real fast, but that isn't actually useful when you spend time fixing all the mistakes it made. It is absolutely insane that companies are stupid enough to require people use something which cripples them.

sleepybrett 5 hours ago|||
So far, for me, it's just an annoying tool that gets worse outcomes potentially faster than just doing it by hand.

It doesn't matter how much I use it. It's still just an annoying tool that makes mistakes which you try to correct by arguing with it but then eventually just fix it yourself. At best it can get you 80% there.

par 6 hours ago||
I think reading the room is required here. You and your friend can both be right at the same time. You want to build an AI-enabled app, and indeed there's plenty of opportunity for it I'm sure. And your friend can hate what it's done to their job stability and the industry. Also, totally unrelated, but is the meaning or etymology behind the app name Wanderfugl? I initially read it as Wanderfungl.
IAmBroom 5 hours ago||
I "spoke" it to myself while reading, and instantly heard "Wonderfuckle".
mips_avatar 6 hours ago||
It's wandering bird in Norwegian
not_the_fda 6 hours ago||
I don't think the phenomenon is limited to Seattle.
jofla_net 6 hours ago|
Its not. I know some ex bay area devs who are the same mind, and i'm not too far off.

I think its definitely stronger in MS as my friend on the inside tells me, than most places.

There are alot of elements to it, one being profits at all costs, the greater economy, FOMO, and a resentment of engineers and technical people who have been practicing, what execs i can guess only see as alchemy, for a long time. They've decided that they are now done with that and that everyone must use the new sauce, because reasons. Sadly until things like logon buttons dis-appear and customers get pissed, it won't self-correct.

I just wish we could present the best version of ourselves and as long as deadlines are met, it'll all work out, but some have decided for scorched-earth. I suppose its a natural reaction to always want to be on the cutting edge, even before the cake has left the oven.

lisp2240 5 hours ago||
I’m all for neurodivergent acceptance but it has caused monumentally obnoxious people like this to assume everyone else is the problem. A little self awareness would solve a lot of problems.
ragnoroct 5 hours ago|
HN guidelines ask commenters to avoid name-calling. You can critique the article without slurs.
side_up_down 6 hours ago||
There's a great non-AI point in this article - Seattle has great engineers. In pursuing startups, Seattle engineers are relatively unambitious compared to the Bay Area. By that I mean there's less "shooting for unicorns" and a comparatively more reserved startup culture and environment.

I'm not sure why. I don't think it's access to capital, but I'd love to hear thoughts.

ajkjk 27 minutes ago||
one reason is that startup culture is cringe as hell

I'm being course, but like... it is though.

sleepybrett 5 hours ago||
My pet theory is that most of the investor class in seattle is ex microsoft and ex amazon. Neither microsoft nor amazon are really big splashy unicorns. Amazon's greatest innovation (aws) isn't even their original line of business and is now 'boring'. No doubt they've innovated all over their business in both little and big ways, but not splashy ways, hell every time amazon tries to splash they seem to fall on their ass more often than not (look at their various cancelled hardware lines, their game studios, etc. Alexa still chugs on, but she's not getting appreciably better to the end user over even the last 10 years).

Microsoft is the same, a generally very practical company just trying to practical company stuff.

All the guys that made their bones, vested and rested and now want to turn some of that windfall into investments likely don't have the kind of risk tolerance it takes to fund a potential unicorn. All smart people I'm sure, smart enough to negotiate big windfalls from ms/az but far less risk tollerant than a guy in SF who made their investment nestegg building some risky unicorn.

evil-olive 3 hours ago||
in the first paragraph, he drops a link to the startup he's working on:

> I wanted her take on Wanderfugl, the AI-powered map I've been building full-time.

this seems to me like pretty obvious engagement-bait / stealth marketing - write a provocative blog post that will get shared widely, and some fraction of those people will click through to see what the product is all about.

but, apparently it's working because this thread is currently at 400+ comments after 3 hours.

qoez 6 hours ago||
It's probably good if some portion of the engineering culture is irrationally against AI and like refuses to adopt it sort of amish style. There's probably a ton still good work that can only be done if every aspect of a product/thing is given focused human attention to it, some that might out-compete AI aided ones.
ktzar 5 hours ago|
I think you hit the nail in the head there. There's absolutely nothing we can do with AI that we can't do without it. And the level of understanding of a large codebase that a solid group of engineers has is paramount to moving fast once the product is live.
seanmcdirmid 5 hours ago||
> level of understanding of a large codebase that a solid group of engineers has is paramount to moving fast once the product is live.

Trying hiring and retaining that solid group of engineers if you are a small/mid sized company without FAANG-level resources to offer.

mgaunard 5 hours ago|
The only clear applications for AI in software engineering are for throwaway code, which interestingly enough isn't used in software engineering at all, or for when you're researching how to do something, for which it's not as reliable as reading the docs.

They should focus more on data engineering/science and other similar fields which is a lot more about those, but since there are often no tests there, that's a bit too risky.

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