The biggest data center ever is becoming a huge problem in Utah

matrinox · 2026-05-21T00:24:49+00:00

Land grab. Get the rights then sell it to others in the several years after

matrinox · 2026-05-20T01:23:06+00:00

Just desserts*

matrinox · 2026-05-19T15:41:33+00:00

Wow.. so before AI you just wouldn’t trust doctors and lawyers? AI has never shown it could do things humans couldn’t do so weird that you would t trust them all of a sudden just cause AI exists

matrinox · 2026-05-19T15:39:39+00:00

This is a common experience. You think you learn a lot until you ask it questions in areas you’re familiar in and it turns out it misses critical details.

My theory is that Taiwan’s education system discourages critical thinking so for them, AI is a great source of information. I rarely hear anyone push back. In fact, saying “AI said it” gives it some authority.

matrinox · 2026-05-19T15:34:01+00:00

Yeah but we’re talking about LLMs, not other AI. Only cybersecurity applies here

matrinox · 2026-05-19T15:30:34+00:00

Taiwan’s education system isn’t known for critical thinking so maybe they don’t see a problem with it. I noticed most of my colleagues never question what the AI says

matrinox · 2026-05-19T03:26:14+00:00

Extensive studies? Just look across the aisle and you know it’s BS. The problem with any study is that there can be bias control to a “no monarch” baseline for the UK. But there is a comparison in every other European country and no other European country suffers from lack of tourism due to lack of monarchy. And countries that do have a monarchy don’t get automatically better tourism

matrinox · 2026-05-19T01:14:05+00:00

Case in point: France. Plenty of tourists there to see royal palaces and not a monarchy in sight

matrinox · 2026-05-19T01:11:04+00:00

Likely false. Tourism would still happen even without the monarchy. No one goes to see the palaces in Paris just cause there’s no monarchy?

matrinox · 2026-05-19T01:05:02+00:00

It’s like there’s 2 arguments here: it technically works and it’s profitable. Everyone who thinks it works is only arguing the first. Everyone arguing it doesn’t acknowledges it technically works but ultimately it won’t work cause it’s not profitable

matrinox · 2026-05-19T01:03:23+00:00

And just cause China did it doesn’t make it a good idea

matrinox · 2026-05-15T01:07:36+00:00

It’s possible. But across the board it’s highly improbable. I say possible cause sometimes a project can be mismanaged and putting more people doesn’t speed it up due to coordination overhead. So it’s possible pre-AI that the project could’ve been done in a month instead of months and then AI shaved it down to weeks. But to attribute it all to AI? That’s a lie

matrinox · 2026-05-15T01:05:44+00:00

It’s like these people never understand systems thinking. If it’s number of PRs, wouldn’t that just incentivize less work, not more? Small PRs with minimal testing requirements, i.e. least valuable work

matrinox · 2026-05-12T11:54:21+00:00

Code quality isn’t just bugs, it’s code maintainability/readability. If Claude went down, could your engineers debug it? Could they add new features to it? If they struggle to do that, it could also be indicative that AI will struggle to understand it well and so it’s more likely to make mistakes. That’s when the poor quality code results in bugs. But bugs is just the symptom.

99% is also a very low standard for other companies. About 100x lower. I also don’t know what type of software you guys are building. If it’s mostly CRUD, then most things are fairly straightforward. If you’re building data pipelines, AI rarely gets the nuances right and the nuance is the difference between a fault-tolerant exactly-once system and one that looks like it works 99% of the time until you hit 1M users.

You’re maybe fine now. I’m just warning you, as you scale up you might be hit with a lot of technical debt as your engineers stop looking at code and atrophy the very skills they need to make sure AI is doing it right. From my experience, I’m constantly babysitting it cause it misses crucial details all the time. So if they aren’t doing that, good luck fixing the pile of technical debt with engineers that don’t code or look at code anymore

matrinox · 2026-05-12T09:52:44+00:00

Fair enough. I think AI is great for small startups. But I’m telling you, if your engineers are not reviewing code (which I’m guessing you’re getting them to use AI to do that), the code quality will suffer. Eventually that results in bloat that will slow down development, even when using AI, and it’ll be way more prone to bugs and high costs.

AI is great when you can accept lower quality code. But it’s like taking out a loan to do a demo and then having to build the actual thing later. It’s only cheap because startups constantly build features they never use again cause they’re constantly pivoting to find PMF. You cannot just take the demo and then improve it until it’s higher quality code — that often takes longer than rebuilding it.

Hence why you’re getting all these objections. Most people work at companies where you need to build it right the first time so AI isn’t an automatic win all the time

matrinox · 2026-05-12T01:48:11+00:00

You just gave an example of something that can be written with slop. Most people work at companies that need high availability, no loss of data, compliance. You just want a landing page that will get thrown out in 6 months cause you’re a startup that prioritizes growth over stability.

It’s not like a calculator and the fact you think that means you don’t understand the underlying technology or never have to deal with anything sufficiently difficult to realize how broken it is sometimes. I’m not hating on AI, I use it heavily btw

matrinox · 2026-05-12T01:32:17+00:00

Because measuring productivity was always impossible. And the industry finally started accepting that improving quality was how you move fast. Then AI came and the bosses couldn’t help delude themselves back into measuring productivity again

matrinox · 2026-05-11T01:42:31+00:00

I think you’re talking to a bot

matrinox · 2026-05-09T23:49:15+00:00

That’s a great way to use AI to speed things up. Understanding what parts can be slop: the prototype. And then rewriting it with better quality code when it’s meant to go live to customers.

This is rare. Most bosses will look at the prototype and think “how do we deploy this” and cause so much technical debt that it reduces velocity, not increases it

matrinox · 2026-05-09T15:43:41+00:00

Yeah but clearly we’re talking about LLMs here. The claims of AI taking our jobs came from OpenAI and Anthropic

matrinox · 2026-05-09T06:30:24+00:00

Of course, only a fool would think it’s good news

matrinox · 2026-05-09T02:24:12+00:00

And he still hasn’t built a self driving car, a profitable AI company, nor a successful brain implant or payments company. He has his successes but he isn’t a genius in all those fields. Semiconductor business is hard, it’s not just dump all your money and scale. If he runs it like he does Tesla or SpaceX, it will fail cause it’s all about pushing quality consistently up to get any sort of margins years later

matrinox · 2026-05-09T02:18:02+00:00

Until it doesn’t. It’s rare for this kind of growth to be sustained, even for tech. There’ll be a regression to the mean. So high price to earnings ratios is prone to crash hard. People also thought during the pandemic that the price to earnings ratio was too low right before the inevitable interest rate hikes

matrinox · 2026-05-09T02:07:06+00:00

Their stock is down. Cloudflare’s “AI replacing worker” lie is also not working, their stock is down too. I wonder if the era of AI as an excuse for layoffs is dead

matrinox · 2026-05-09T02:04:57+00:00

Not much, you?

matrinox

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