Posted by mips_avatar 7 hours ago
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.
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.
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.
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).
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' ).
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"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." "
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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).
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...
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.
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.
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.
I'm not sure why. I don't think it's access to capital, but I'd love to hear thoughts.
I'm being course, but like... it is though.
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.
> 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.
Trying hiring and retaining that solid group of engineers if you are a small/mid sized company without FAANG-level resources to offer.
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.