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Everyone in Seattle hates AI

jonready.com

291–300 of 1001 posts

Re: Everyone in Seattle hates AI

#291
post #261

Earlier quoted context omitted.

I've interfaced with some AI generated code and after several examples of finding subtle and yet very wrong bugs I now find that I digest code that I suspect coming from AI (or an AI loving coworker) with much much more scrutiny than I used to. I've frankly lost trust in any kind of care for quality or due diligence from some coworkers. I see how the use of AI is useful, but I feel that the practitioners of AI-as-cod…

Your coworkers were probably writing subtle bugs before AI too.

Would you rather consume a bowl of soup with a fly in it, or a 50 gallon drum with 1,000 flies in it? In which scenario are you more likely to fish out all the flies before you eat one?

Re: Everyone in Seattle hates AI

#292
I like AI to the extent that it can quickly solve well-worn, what I've taken to calling "embarrassingly solved problems", in your environment, like "make an animation subsystem for my program". A Qt timeline is not hard, but it is tedious, so the AI can do it.

And it turns out that there are some embarrassingly solved problems, like rudimentary multiplayer games, that look more impressive than they really are when you get down to it.

More challenging prompts like "change the surface generation algorithm my program uses from Marching Cubes to Flying Edges", for which there are only a handful of toy examples, VTK's implementation, and the paper, result in an avalanche of shit. Wasted hours, quickly becoming wasted days.

Re: Everyone in Seattle hates AI

#293

> AI-powered map > none of it had anything to do with what I built. She talked about Copilot 365. And Microsoft AI. And every miserable AI tool she's forced to use at work. My product barely featured. Her reaction wasn't about me at all. It was about her entire environment. She was given two context clues. AI. And maps. Maps work, which means all the information in an "AI-powered map" descriptor rests on the adjectiv…

The product website isn't convincing either. It's only in private beta, and the first example shows 'A scenic walking tour of Venice' as the desired trip. I'll readily believe LLMs will gladly give you some sort of itinerary for walking in Venice, including all highlights people write and post about a lot on social media to show how great their life is. But if you asked anyone knowledgable about travel in that region…

> I'll readily believe LLMs will gladly give you some sort of itinerary for walking in Venice

I tried this in Crotone in September. The suggested walking tour was shit. The facts weren't remarkable. The stops were stupid and stupidly laid out. The whole experience was dumb and only redeeming because I was vacationing with a friend who founded on the of the AI companies.

> if you asked anyone knowledgable about travel in that region, the counter questions would be 'Why Venice specifically?

In the region? Because it's a gorgeous city with beautiful architecture, history and festivals?

Re: Everyone in Seattle hates AI

#294

From the article: > I wanted her take on Wanderfugl , the AI-powered map I've been building full-time. I can at least give you one piece of advice. Before you decide on a company or product name, take the time to speak it out loud so you can get a sense of how it sounds.

I grew up in Norway and there's this idea in Europe of someone who breaks from corporate culture and hikes and camps a lot (called wandervogel in german). I also liked how when pronounced in Norwegian or Swedish it sounds like wander full. I like the idea of someone who is full of wander.

Same in Danish FWIW.

In English, I’d pronounce it very similar to “wonderful”.

Re: Everyone in Seattle hates AI

#295

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 at Google are some of the most negative about the potential of AI to improve software development. I was always surprised by this and assumed internally at Google would be one of the first places to adopt these.

Engineers at Google are much less likely to be doing green-field generation of large amounts of code . It's much more incremental, carefully measured changes to mature, complex software stacks, and done within the Google ecosystem, which is heavily divergent from the OSS-focused world of startups, where most training data comes from

Re: Everyone in Seattle hates AI

#296

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…

This isn’t “unfair”, but you are intentionally underselling it. If you haven’t had a mind blown moment with AI yet, you aren’t doing it right or are anchoring in what you know vs discovering new tech. I’m not making any case for anything, but it’s just not that hard to get excited for something that sure does seem like magic sometimes. Edit: lol this forum :)

> If you haven’t had a mind blown moment with AI yet...

Results are stochastic. Some people the first time they use it will get the best possible results by chance. They will attribute their good outcome to their skill in using the thing. Others will try it and will get the worst possible response, and they will attribute their bad outcome to the machine being terrible. Either way, whether it's amazing or terrible is kind of an illusion. It's both.

Re: Everyone in Seattle hates AI

#297
post #157

Earlier quoted context omitted.

>Not OP but for starters LLMs != AI Please don't do this, make up your own definitions. Pretty much anything and everything that uses neural nets is AI. Just because you don't like how the definition has been since the beginning doesn't mean you get to reframe it. In addition, if humans are not infallible oracles of wisdom, they wouldn't be an intelligence in your definition.

Why then there is an AI-powered dishwasher, but no AI car?

https://www.tesla.com/fsd ?

I also don't understand the LLM ⊄ AI people. Nobody was whining about pathfinding in video games being called AI lol. And I have to say LLMs are a lot smarter than A*.

Re: Everyone in Seattle hates AI

#298
post #41

> Engineers don't try because they think they can't. This article assumes that AI is the centre of the universe, failing to understand that that assumption is exactly what's causing the attitude they're pointing to. There's a dichotomy in the software world between real products (which have customers and use cases and make money by giving people things they need) and hype products (which exist to get investors excite…

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…

> We hear AI advocates say that their workflow is amazing, but we watch videos of their workflow, and it doesn't look that great. We hear AI advocates say "the next release is about to change everything!", but this knowledge isn't actionable or even accurate.

There's a lot of disconnected-from-reality hustling (a.k.a lying) going on. For instance, that's practically Elon Musk's entire job, when he's actually doing it. A lot of people see those examples, think it's normal, and emulate it. There are a lot of unearned superlatives getting thrown around automatically to describe tech.

Re: Everyone in Seattle hates AI

#299
post #126

Earlier quoted context omitted.

the list of people who write code, use high quality LLM agents (not chatbots) like Claude, and report not just having success with the tools but watching the tools change how they think about programming, continues to grow. The sudden appearance of LLMs has had a really destabilizing effect on everything, and a vast portion of what LLMs can do and/or are being used for runs from intellectually stifling (using LLMs to…

The last few years has revealed the extent to which HN is packed with middle-aged, conservative engineers who are letting their fear and anxiety drive their engineering decisions. It’s sad, I always thought of my fellow engineers as more open-minded.

> The last few years has revealed the extent to which HN is packed with middle-aged, conservative engineers who are letting their fear and anxiety drive their engineering decisions.

so, people with experience?

Re: Everyone in Seattle hates AI

#300

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 at Google are some of the most negative about the potential of AI to improve software development. I was always surprised by this and assumed internally at Google would be one of the first places to adopt these.

Google has good engineers. Generally I've noticed the better someone is at coding the more critical they are of AI generated code. Which make sense honestly. It's easier to spot flaws the more expert you are. This doesn't mean they don't use AI gen code, just they are more careful with when an where.
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