1,717 karma · joined February 24, 2015
On one hand I want to stay YIMBY here, my typical problem with arguments against this stuff is that it looks at the resources as finite. We can/should build more power capacity. Water usage concerns already have solutions. The market should be allowed to do its thing.
On the other hand I think there are looming problems with data centers. Energy is the obvious one because its detrimentally affecting residents who had no part or say in someone gobbling up a public resource. And its cheaper to build the centers that don't recycle their water usage, so some legislation is needed there. A moratorium toward those ends makes a lot of sense to me.
I have one other unfinished thought that maybe a wait-and-see mentality is a good thing right now. We might be approaching peak LLM usage, maybe. If we are nearing a bubble burst, I can see how a state's leadership might want to protect its residents however it can, but I don't totally know if a moratorium on this achieves that or just delays the inevitable.
In a an ideal world, if you bought the title then you'd have the ability to download it locally. I understand the licensing is a main driver of taking titles down, but these agreements are completely opaque to the customer at the time of purchase.
But yes I think you're on to something that Nintendo plays the long game the best, they handle their IPs like Disney does: featuring them across multiple verticals that feed into each other. Its surprising to me how long its taken Nintendo to come back to movies and TV.
Actually now that I think about it, Disney's biggest shortcoming is their video game division despite many wonderful retro Disney and Lucasarts games at their disposal.
> If we grow 3 times the amount of corn that we need this year, do we need to plan to grow 3.1 times next year? Or decrease the cost by 2%? If all the inputs stay the same, where do you get the gains from(assuming that the process is as efficient and automated as possible)?
I think I get what you're driving at, but let me ask this question. Do you believe the price of corn in 1976 reflects the same market forces as the price of corn in 2026? Not the inflationary number alone, but why that corn costs what it does today versus 50 years ago?
There are microeconomic changes for sure, different farming techniques and maybe a different way of buying and selling surplus corn. But the life of a farm hand has likely changed, the average background of them has likely changed, the ownership model of the farm may have changed. The downstream buyers of corn have likely changed from mostly canned good manufacturers to fresh produce providers. And the macroeconomic forces surrounding everything has absolutely changed.
I'm hand-waving a lot of arguments and considerations with this statement, but from my perspective one advantage to 2-3% inflation is to incentivize owning capital that will outpace inflation. Land, equity, and bonds all have that potential.
Deflation may incentivize renegotiation of labor, but it also incentivizes hoarding of cash, which itself is not otherwise valuable. The value comes from it being passed around through the economy buying more assets. The more purchases -> the more money to be passed around -> the more opportunity to grow the economy. In a deflationary environment (at least in theory) this slows all of that down and decreases economic opportunity, which we generally don't want.
If you want to make it more accessible to folks like myself who stink at chess, I'd recommend adding some sort of power-ups so that you can take multiple pieces, jump over obstacles, or freeze enemies in place. And with that you probably have a great little game to sell on Steam :)
They sent me a summary document before the meeting, but I couldn't see the code until the interview. I felt like I identified the issue and where to make changes rather quickly, like 10 minutes of looking around and talking through how all the components and APIs fit together.
Then the interviewer asked me to implement a datetime solution, which in this time-boxed window my mind raced around to multiple solutions that I talked through out loud: I could write it myself which would definitely take some time for me to remember all of the syntax involved and reason through the problem, I could download an existing library which would also take some time to read documentation, I could google around for existing solutions in somewhere like Stack Overflow which is pretty hit and miss, or I could prompt an AI agent to write a solution for me. I talked through all of these, they wanted to know how I'd do it by hand at first, which I talked through for a bit but admitted I wasn't sure if it was a good way to go about it. Then I said given the time constraints the AI prompt route would probably make the most sense. By the time we arrived at that and tried it for a bit our time was basically up. And I got the impression suggesting AI to help code didn't impress the interviewer at all.
If others are able to stand out in this scenario then I guess I'll just admit I'm not the top candidate. My brain just doesn't work that quickly. I like to spend time gathering context and tinkering before really getting into the solution, and that probably doesn't come across well in these situations.
Rust is a language I would like to adopt longterm, but its not one I can easily grok and so my output would be worse for it.
There's a lot of stuff in Python's favor in regard to coding with LLMs: its wildly popular so there's a lot of references for the right and wrong ways to use it, it can be typed using included libraries - its as simple as telling the LLM "use typing for this", and there are several great lint and unit testing tools to cover the hallucinations and poor decisions. The flexibility seems like an advantage to me personally, but I've always been a Python stan.