In retrospect, I think my wording might be misleading - I didn't mean to imply the US is doing significantly worse than developed world, just that none of the developed world does significantly worse than the US either.
I.e. I was responding to the original "in 'most of the world' EMS quality is ass.", trying to say that you only get that outcome if you compare apples and oranges (developed vs developing)
8-10 minutes in urban areas is pretty much universal (for the developed world). Rural areas are where differences come in, and even there standards for the developed world are somewhat on the same level.
Haven't yet seen a developed nation do worse than the US. If you prefer to compare against developing countries only, sure, winning by lowering the bar to the ground is an option.
They're not just "too zealous", they're ludicrous.
I've had it reject looking at pages served from my local network because it "can't find it with my search tool" and had "ethical concerns about consent for access".
The People's AI Concern Front has gotten the classifier they want, and it's made Claude hilariously useless. I am waiting with bated breath for their next set of revenue numbers. (And happily hand my money to competitors instead)
I mean, you don't have to annotate them :) Would I love to read annotations? Sure - but it's a boatload of work for you, and if it's just meant as a repo for you and your friends, no need to do a ton of work just because an Internet rando asked.
But given the sudden wide audience, a quick "here's what this is for" at the top might be helpful.
Society cannot work with too many corrupt civil servants. Yes, "autocrats", "civil liberties", and yet - the guy slurped up $325M to put his finger on the scale, not to change the model of governance.
I wish we in the west took corruption more seriously, but I suppose we're more interested in cage fights on the lawn these days.
"Truly robust engineering isn’t about what works for most; it’s about gracefully handling the edge cases"
Not really. Truly robust engineering includes a cost-benefit analysis of which edge cases you handle. We don't live in a world of unlimited time & money.
Yes, but we've traded LLM psychosis for agent psychosis, followed by loop psychosis. (Or was it the other way round? Also, we did dark software factories already, right?)
Turns out that if you try to be "15 minutes into everyone else's future", you get better and more frequent trips than any psychedelics could provide.
Assuming you discover a capsule from the 21st century chances are overwhelmingly that either things have gone great, and you could just ask your AI to create an environment for that old binary (or reverse engineer it), or things have gone badly and you try to bootstrap computing.
The "things have gone average, and I want to run a 200-year old binary" case is I think the least relevant.
But even if we stipulate its relevant enough, this does not solve the issue. The subleq machine does not actually reproduce the hardware environment. A lot of software depends very much on the characteristics of the hardware it runs on. (Timing issue, undocumented but interesting side effects, etc). It depends on bugs in the containing OS. (See Win32 backcompat, e.g.) It depends on quirks and behavior of its input/output devices. Heck, the VM does not even define what "reads a keypress" reads - scancode? ASCII? UTF-8? Value according to numerology?
There's a lot of software that's not amenable to "it's just a single set of numbers in a capsule" with just that underlying VM. Likely most software.
SUBLEQ is a somewhat interesting architecture if you think about "bootstrap compute from scratch", but that's a very different problem.
"Sub-Saharan Africa had the highest cold-related excess death rate"
That's an interesting choice. It conflates cold-related excess deaths in the equatorial lowlands (which struggle to ever get below 70F/20C) and the southern highlands (like Lesotho, which routinely goes below freezing in June/July). Both are sub-saharan.
Of course, that may just be a bad summary, but it puts it onto the "should probably verify the results before I trust it" pile of papers, something that's sadly growing at an ever-increasing pace.
I've tried it on large docs I've written well before the AI times, and that are nowhere available on the Internet (so it can't be a corpus issue) - and it is happily classifying me as 60%-80% AI.
It's not quite that clear-cut. Franklin was pretty clear on the helical structure in both research notes and papers, but she didn't quite nail the overall structure (2 strands with opposing winding, complementing bases).
Fundamentally, she suffered the curse of the experimental scientist - waiting for actual data before being willing to build a model. Watson & Crick postulated ahead based on partial data.
I.e. I was responding to the original "in 'most of the world' EMS quality is ass.", trying to say that you only get that outcome if you compare apples and oranges (developed vs developing)
8-10 minutes in urban areas is pretty much universal (for the developed world). Rural areas are where differences come in, and even there standards for the developed world are somewhat on the same level.