In my previous life I did similar computational physics work with similar environments. I ran into a similar set of problems and found that with a little work one can cobble together tools to automate all the steps that are a hassle. And then the hassle goes away. And this was pre-Claude Code. And pre-Google. And actually pre-ssh. Good old telnet for me. Some shell script or a little AppleScript. Granted no 2FA in those day. But the same learned helplessness with people sitting in front of a device who's entire purpose is to automate things and when presented with a task that would be better automated they fail to use the tools at hand to solve the problem. Kids these days (and back in those days too for that matter).
Nope. The main cost of the old climate.gov was the salaries of the folks writing the articles and pulling together the resources. They were not getting paid exorbitantly and are quite interested in still getting paid. Source: I am one of those people.
The site wasn't (isn't) about the data. It's about articles that contextualize the data. The money raised has allowed them to stand up a new site with all the old articles (which truth be told were all still nominally accessible via the internet archive) and will help fund them to create new ones. So it will stay relevant by paying the people who in the past worked for NOAA to creation the content, to now create the content paid for by donation.
You do understand how this isn't an example of what I'm asking for, right?
In 20 years worth of history - you can't identify a single piece of legislation or a single executive action to demonstrate an ongoing threat to NOAA? You have to immediately jump to the tautology of "Project 2025 is dismantling NOAA because an article two years ago said Project 2025 was going to dismantle NOAA"?
If there is an active attempt at privatizing NOAA then you should be able to point to specific, real-world things that are happening to effect this change.
"The National Oceanographic and Atmospheric Administration (NOAA) should be dismantled and many of its functions eliminated"
That's a direct quote.
The fact that it wasn't first on the list doesn't mean it's not on the list.
(no response needed; I know that you're a partisan actor to the degree that direct discussion with you offers no value to myself or to society. You're too dishonest, too sociopathic, and too disinterested in truth.)
If you want to get pedantic we can't simulate anything with complete accuracy in the absence of a theory that encompasses all the known forces. Which we don't have. (Damn you gravity. Can't you just get along with the others)
To a useful level of accuracy we can certainly simulate water. And we can do the same for a single proton for some definitions of useful (but not other definitions).
It could be that once we truly understand math in a complete way it would lead inexorably to the definition of one and only one possible universe with only one possible set of rules and c and G would simply fall out naturally. I'd agree it seems unlikely given our current understanding of math and physics (and their relationship to each other). But given both are incomplete it remains a possibility. The one theme that seems to hold true as we dig deeper and deeper into how the world works is that the fundamental rules seem to get more and more unified.
Please tell us more about this. I’m not familiar with any definition of mathematics that would support the idea that it can prove statements about our universe without access to observed facts.
Are there any papers where this possibility is explored? What does it mean to have a complete understanding of mathematics?
But the metaphorical goal is to cover distance not get fit or to make the best use of what you trained for. A trained runner on a bike is faster than a trained runner.
At least if the metaphor is about coding as a means to creating usefully functional code as efficiently as possible. Careful coding by hand may eventually be a hobby activity.
Personally, while I do get some satisfaction in coding by hand it was always the production of something useful that I found most rewarding. I was never someone who wrote code for a hobby. With LLM's I'm more productive. And I find that very satisfying.
I had a box set up as NAT (running amazon linux) when we moved from a local datacenter to AWS in 2012. Shut it down last year. It had not been rebooted. Should have grabbed a screen capture of the uptime. Part of me wanted to leave it to reach 5000 days....
Perhaps LLM's do replicate the important features of "neurons and synapses and learning" and perhaps a "statistical modelling of our words" is pretty much what our brains are doing? Most of the counter-arguments I've seen boil down to "but humans are special" which I'm not sure I find compelling.
Not saying LLM's are conscious. Just that much of our amazement about their behavior seems to say more about us realizing the things we can do are not magic, rather than them being so amazing.
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