There is no "overspending." There is only undertaxing. The debt is literally just the accumulated difference between spending and taxation.

If extreme wealth was taxed, the debt would be zero. The point isn't even to "pay for spending" but to enforce a functional social contract, and to limit the political and democratic distortions created by extreme inequality.

"Markets" should not have a veto on policy in a democracy.

Making it non-zero is a policy choice. Inflating away this debt is also a policy choice. There is nothing accidental about this.

What will not be inflated away is personal debt. That will remain linked to inflation even after the currency is revalued, and will be captured from personal assets wherever possible.

Nearly an aside, but:

Why are people still installing security cameras that are monitored by them? They increase stress level and felt insecurity. They do not make you feel secure, say psychological studies. You probably think more about burglaries and dead spaces in your setup and actively monitor for these in your daily lives, where for 99.8 % of people this should be a non-topic.

If you want to install them for later police work, that still seems tedious and you might require off-site backup. In public places we often have CCTV of people, but unless you have number signs on vehicles, they seem to not help with conviction rates by much.

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> LLMs aren’t just the biggest change since social, mobile, or cloud–they’re the biggest thing since the World Wide Web. And on the coding front, they’re the biggest thing since IDEs and Stack Overflow, and may well eclipse them both.

I personally feel the technology is over-hyped. Sure, the ability of LLMs to generate "decent" code from a prompt is pretty impressive, but I don't think they are biger than Stack Overflow or IDEs.

So far my experience is that ChatGPT is great for generating code from languages I not proficient in or when I don't remember how to do something and I need a quick fix. So in a way it feels like a better "Google" but still I would rank it as inferior than Stack Overflow.

I am also hesitant about the statement that it makes us 5 times as productive because we only need to "check the code is good" for two main reasons:

1. It is my belief that if you are proficient enough in the task at hand, it is actually a distraction to be checking "someone else code" over just writing it yourself. When I wrote the code, I know it by heart and I know what it does (or is supposed to do). At least for me, having to be creating prompts and then reviewing the code that generates is slower and takes me out of the flow. It is also more exhausting than just writing the thing myself.

2. I am only able to check the correctness of the code, if am am proficient enough as a programmer (and possibly in the language as well). To become proficient I need to write a lot of code, but the more I use LLMs, the less repetitions I get in. So in a way it feels like LLMs are going to make you a "worse" programmer by doing the work for you.

Does anyone feel that way? Maybe I am wrong and the technology hasn't really clicked for me yet.

As a robotics engineer (though I don’t work on AI systems) I was bullish on Tesla’s architecture for a long time. I’ve watched all their presentations. Their hydra network. Their massive custom AI chip. I really thought they had a chance at making it all work. But the long tail is killing them. They’re walking back their claims for fully autonomous operation. Andrej Karpathy (their AI lead) left. Musk is distracted and showing that he doesn’t have all the technical chops we thought he did (if reports from inside twitter are to be believed). It feels like the company is all promises and no delivery now. Many have been saying this for years, but I really thought they were going to pull it off. Now I’m beginning to feel that they’re not organized appropriately to do it. You just can’t have a single guy who is all ego running a project as complex as this and find success. I think of how they must be doing things at Waymo or Cruise and they’re going to have a team of competent people in charge who don’t make rash decisions on major architectural issues. And given the scope of this problem I’m really starting to believe that’s what’s needed to make this work. There’s just no silver bullet. I’m really questioning what led me to believe in all this in the first place.

> hey were the sorts of scenes that internet-connected devices regularly capture and send back to the cloud

Most of the home devices like vacuum robots really have no valid reason to connect to any cloud let alone send any pictures there. Such a robot can run all the necessary code [ran in the cloud normally] on itself. If only the consumers would not be so naive to accept the cloud bullshit for a norm.