AI is different

The cars aren't expensive by raw cost (low six figures, which is about what an S-class with highway-only L3 costs)

But there is a lot of expenditure relative to each mile being driven.

> The goalpost will be when you can buy one and drive it anywhere.

This won't happen any time soon, so I and millions of other people will continue to derive value from them while you wait for that.

Interesting perspective.

At the moment I just don't see AI in its current state or future trajectory as a threat to jobs. (Not that there can't be other reasons why jobs are getting harder to get). Predictions are hard, and breakthroughs can happen, so this is just my opinion. Posting this comment as a record to myself on how I feel of AI - since my opinion on how useful/capable AI is has gone up and down and up and down again over the last couple of years.

Most recently down because I worked on two separate projects over the last few weeks with the latest models available on GitHub Copilot Pro. (GPT-5, Claude Sonnet 4, Gemini 2.5 Pro, and some lesser capable ones at times as well). Trying the exact same queries for code changes across all three models for a majority of the queries. I saw myself using Claude most, but it still wasn't drastically better than others, and still made too many mistakes.

One project was a simple health-tracking app in Dart/Flutter. Completely vibe-coded, just for fun. I got basic stuff to start working. Over the days I kept finding bugs as I starting using it. Since I truly wanted to use this app in my daily life, at one point I just gave up cause fixing the bugs was getting way too annoying. Most "fixes" as I later got into the weeds of it, were wrong, with wrong assumptions, made changes that seemed to fix the problem at the surface but introducing more bugs and random garbage, despite giving a ton of context and instructions on why things are supposed to be a certain way, etc. I was constantly fighting with the model. Would've been much easier to do much more on my own and using it a little bit.

Another project was in TypeScript, where I did actually use my brain, not just vibe-coded. Here, AI models were helpful because I mostly used them to explain stuff. And did not let them make more than a few lines of code changes at most at a time. There was a portion of the project which I kinda "isolated" which I completely vibe-coded and I don't mind if it breaks or anything as it is not critical. It did save me some time but I certainly could've done it on my own with a little more time, while having code that I can understand fully well and edit.

So the way I see using these models right now is for research/prototyping/throwaway kind of stuff. But even in that, I literally had Claude 4 teach me something wrong about TypeScript just yesterday. It told me a certain thing was deprecated. I made a follow up question on why that thing is deprecated and what's used instead, it replied with something like "Oops! I misspoke, that is not actually true, that thing is still being used and not deprecated." Like, what? Lmao. For how many things have I not asked a follow up and learnt stuff incorrectly? Or asked and still learnt incorrectly lmao.

I like how straightforward GPT-5 is. But apart from that style of speech I don't see much other benefit. I do love LLMs for personal random searches like facts/plans/etc. I just ask the LLM to suggest me what to do just to rubber duck or whatever. Do all these gains add up towards massive job displacement? I don't know. Maybe. If it is saving 10% time for me and everyone else, I guess we do need 10% less people to do the same work? But is the amount of work we can get paid for fixed and finite? Idk. We (individuals) might have to adapt and be more competitive than before depending on our jobs and how they're affected, but is it a fundamental shift? Are these models or their future capabilities human replacements? Idk. At the moment, I think they're useful but overhyped. Time will tell though.

> all that is needed is humans willing to work together

Maybe, but those things are also needed to enable humans to work together

Evolutionarily, people engage in productive activity in order to secure resources to ensure their survival and reproduction. When these necessary resources are gifted to a person, there is a lower chance that they will decide to take part in economically productive behavior.

You can say that because it is universal, it should level the playing field just at a different starting point, but you are still creating a situation where even incredibly intelligent people will choose to pursue leisure over labor, in fact, the most intelligent people may be the ones to be more aware of the pointlessness of working if they can survive on UBI. Similarly, the most intelligent people will consider the arrangement unfair and unsustainable and instead of devoting their intelligence toward economically productive ventures, they will devote their abilities toward dismantling the system. This is the groundwork of a revolution. The most intelligent will prefer a system where their superior intelligence provides them with sufficient resources to choose a high-quality mate. If they see an arrangement where high-quality mates are being obtained by individuals who they deem to be receiving benefits that they cannot defend/protect adequately, such an arrangement will be dismantled. This evolutionary drive is hundreds of millions of years old. Primitive animals will take resources from others that they observe to be unable to defend their status.

So, overall, UBI will probably be implemented, and it will probably end in economic crisis, revolution, and the resumption of this cycle that has been playing out over and over for centuries.