Ok, let’s flip this around. You made the baseless claim that “Linux development can’t succeed where Microsoft fails” that seems pretty baseless and historically incorrect to me. But if you just want to keep trying to “win” this interaction and don’t want to have a conversation I guess there’s nothing left to say

My argument is they are different groups of people with completely different incentive structures, so of course they will be different. You’re acting like Microsoft is failing because they use AI, not because they have management forcing the use of AI.

I’m definitely not an “AI is going to write all the code” kind of person, but LLMs are definitely a useful tool for prototyping and other development processes. A project with a “No AI” rule is not inherently better than a project that uses AI as a tool.

Sure if you only focus on the desktop market I guess you could make that argument, but IDK why you would ignore servers and phones? There are plenty of examples of Linux kicking Microsoft’s ass. You think Microsoft is happy they don’t sell server licenses for every server on earth? What about android?

If you take a step back, why would Linux development be able to succeed at all when Microsoft has far more money, more maturity, and more employees?

Should have linked this earlier, but adding it now anyways https://afdc.energy.gov/fuels/electricity-locations#%2Ffind%2Fnearest%3Ffuel=ELEC There are very few places in the US where you can be an hour away from the nearest charger.

It’s also kind of a strange situation to explain to people who are used to fuling up at gas stations. I almost never use the fast chargers near my house, I can fill up way cheaper, and way more conveniently at home. The only time I start thinking about fast charging is when I’m driving more than 300 miles in a weekend.

Yeah, you should probably mean what you say and say what you mean when having a conversation. You have no idea what the current state of ev charging infrastructure looks like, but you’re still acting like an expert.

You’ll notice I did not argue against that point at all, not having charging at home is a huge downside and would play a big part in if someone should buy an EV or not.

“OuR gRiD cAN’T taKE iT” on the other hand is not a valid argument

There are states without any electric chargers installed

So now you’re just lying, maybe I was wrong and you are getting paid to post this.

By repeating their talking points, you are arguing that we should slow EV adoption. You are literally doing their work for them. At least if you worked for BP you could cash a pay check, you’re out here working for them for free.

Also the electrical infrastructure in this country is not ready for everyone to go electric.

You’re repeating big oil talking points. We improve the grid all the time, we can continue to do it. Sure if all cars were magically converted into EVs tomorrow we would have big problems, but that’s not how the real world works.

If the grid actually was about to fall over because of a few more EVs, these datacenters spinning up all over the place would be even bigger disasters than they already are.

So when do I stop asking the LLM to take another look? If it finds a new issue on the second or third or fourth check am I supposed to just sit here and keep asking it to “pretty please take another look and don’t miss anything this time”?

I’m not saying it’s a useless tool, it’s just not a replacement for a human code review at all.

Now ask the LLM to analyse the code it just generated. It will have a lot of notes.

Not only will it have a lot of notes, every time you ask if to analyze the code it will find new notes. Real engineers are telling me this is a good code review tool but it can’t even find the same issues reliably. I don’t understand how adding a bunch of non-deterministic tooling is supposed to make my code better.

If you know what RAM is, this product isn’t for you. It’s for your kid or grandma