What's interesting is that the LLMs' coding personalities seem to match their policy WRT to strategy, which suggests an underlying consistency.
Claude, for example, is very eager to begin coding, and very persistent. It tends to exit plan mode even when the plan is half-baked, and will go as far as deleting tests to get the suite to "pass."
ChatGPT on the other hand is very hesitant. It loves to pause and ask for permission before it starts coding, and gives up quickly if it runs into a problem. This is similar to its tendency toward passivity in the strategy simulation presented here.
The article is really vague and a bit misleading, but the bill text appears to be surprisingly readable, and honestly not much longer than the article.
A lot of agricultural water usage (more water than AI) is for growing corn to turn into ethanol so we can add it to gasoline. It's not a small amount either, 40% of all corn in the US is used for this purpose.
This was the same logic that was used when building nuclear weapons, and many of the scientists involved in that tried to find a different path (most notably Niels Bohr). I think we would be in a much better world if they had been successful. It's good that we're trying again w/ LLMs.
They also removed the words build, develop, deploy, and technology, indicating that they're no longer a tech company and don't make products anymore. Wonder what they're all gonna do now?
Could also be great for maintenance dosing. I'm reaching the end of my ~weight loss journey~, and it's not a sure thing that the insurance company will continue paying for the injections once I'm no longer overweight.
I'm definitely willing to keep taking it. If insurance won't pay for it, I could pay for the pill out of pocket if I had to, which would be cost prohibitive for the injections.
You can't call something a bad-faith argument just because you disagree with it. I mean, you can, but it's not at all convincing.
As I said, if AI companies reproduce copyrighted works, they should be sued, just like a human artist would be. I haven't experienced that in my interactions with LLMs, but I've never really tried to achieve that result either. I don't really pirate anymore, but torrents are a much easier and cheaper way to do copyright infringement than using an AI tool.
Every artist and creator of anything learned by engaging with other people's work. I see training AI as basically the same thing. Instead of training an organic mind, it's just training a neural network. If it reproduces works that are too similar to the original, that's obviously an issue, but that's the same as human artists.
This gives me the idea to build a search engine that only contains content from domains that have been vouched for. Basically, you'd have an upvote/downvote system for the domains, perhaps with some walls to make sure only trusted users can upvote/downvote. It seems like in practice, many people do this anyway. This could be the best of both worlds between directories and search engines.
If they don't build housing, they will rapidly have all these problems. There's no magic here, no curse on the Bay Area and Seattle, it's all economics, though the geography of SF and Seattle don't help. From cursory Googling, it looks like Austin is beginning to upzone areas so that apartments can be built, which is a step in the right direction. From what I understand, Austin has already been struggling with affordable housing, so I don't think the outlook is very good.
As far as renovations, I think the simple reality is that renovating requires a lot of very skilled labor, and skilled labor is not cheap. Good contractors where I live are booked months and months out. The weird thing is if you look the salary data, these jobs don't even pay very well. Electricians and plumbers both have average salaries of $56k, compared to ~$100k for software engineers according to BLS data.
If these numbers are representative, it's no wonder it's hard to hire a contractor. The pay sucks and it's hard work that requires a lot of training. Overall I don't understand how the economics of this industry work such that doing anything is expensive as hell, yet the workers are not paid very well.
It's not just training ourselves, it's companies training us. When people talk about dopamine hits from getting a like on a post, or feeling a buzz from an app, they are explicitly setting out to create a behavioral pattern that benefits them in some way. They are training us like Pavlov's dogs, and while humans are smarter, we do respond to operant conditioning.
At the end of the day, we as people have to react to this environment that's been created, but the people who created it knew what they were doing.
Curious what your situation is. If it was personal stuff, I would honestly just mute anyone who is too noisy, and then check in periodically. If you don't like them, well they get a large period in between check-ins :). Over time, they come to expect it, and realize it's not personal. If it's work stuff, maybe you could figure out a scheduling system (like a lightweight ticketing system or inbox maybe.)
In my view, if people are getting annoyed you're texting them, it's on them. They're the ones assuming you expect an immediate response, unless you're complaining about it. If you're getting annoyed about them not replying, that's on you.