How come they don’t group them together?

Same issue as living near golf courses?

I know a guy who had a weird habit of using his mouth to clean his golf ball. He eventually got oral cancer.

Except the data doesnt back up that assertion. Golf course employees and golfers have no higher rates of than the public at large. So what gives?

If the very people who spend most of their waking lives on the grounds and among those fertilizers and pesticides do not have any great instance, maybe just maybe its something else. Like the gallons of unregulated chemicals that are in those tract houses that were all built around the same time...

one example is the drywall was used extensively in the 90's. Its makeup banned in the country of origin, China but its product was used all throughout the US for decades.

Data does back up this assertion: https://news.ycombinator.com/item?id=43933580

The correlation seems to point to usage ground water that is contaminated with pesticides. So people living close to the golf courses have higher Parkinson risk. Probably golfers and employees less so.

There is no causation. Your bias is showing.

What else uses massive amounts of pesticides and herbicides and is consumed by people every day?

I hate when the steal sci fi concepts and I get falsely excited hearing about say Dyson sphere cold fusion drones.

Wow weird Mandela effect for me. I really remember this being a built and actually using it.

You may be thinking of the `frozenset()` built in or the third party Python module [frozendict](https://pypi.org/project/frozendict/)?

Personally, I’ve been using a wrapper around `collections.namedtuple` as an underlying data structure to create frozen dictionaries when I’ve needed something like that for a project.

When you are making str -> Any dictionaries it's quite likely you're better off with dataclasses or namedtuples anyway.

That works if you're dealing with a known set of keys (i.e. what most statically-typed languages would call a struct). It falls down if you need something where the keys are unknowable until runtime, like a lookup table.

I do like dataclasses, though. I find them sneaking into my code more and more as time goes on. Having a declared set of properties is really useful, and it doesn't hurt either that they're syntactically nicer to use.

There was a previous PEP (in 2012) with the exact same title:

https://peps.python.org/pep-0416/

Also one in 2019 for a "frozenmap":

https://peps.python.org/pep-0603/

Perhaps you used the frozen dict implementation from the pip installable boltons library: https://boltons.readthedocs.io/en/latest/dictutils.html#bolt...

Perhaps immutabledict?

https://pypi.org/project/immutabledict/

You’re telling me a white blood cell is only ten times longer than mitochondria?

How is that possible? Doesn’t it contain at least thousands?

I wonder if you could harness different temperatures at different water depths.

You can, it's called OTEC:

https://en.wikipedia.org/wiki/Ocean_thermal_energy_conversio...

Just like this scheme, it's not very economically efficient.

Carnot efficiency is proportional to the temperature ratio between the hot end and the cold end in degrees Kelvin. If both temperatures are in the 200's, then efficiency will be low.

OTEC does provide lots of potable water though, so that's one advantage.

I submitted this exact url yesterday. What’s the criteria for when hn creates a new post vs going to the existing?

Mods usually apply [Dupe] to later submissions if a recent (last year or so) one had a fair amount of discussion.

So if mine got no discussion they just allow a new one to be posted?

Sometimes they'll merge the two. What shows up on the FP is hit or miss. One might even say it's stochastic.

I wonder if someone's looked into the optimal time of day and day of the week to post for maximum traction.

If I had to guess it would be monday morning pacific time when people would rather be doing anything than working.

Surely there's already stats on this or even a whole paper :P Could pull all dupe posts over time and see which ones are more popular etc.

What kind of rig is required to run this?

The simple Python example program runs great on almost any GPU with 8 GB or more memory. Takes about 1.5 seconds per iteration on a 4090.

The bang:buck ratio of Z-Image Turbo is just bonkers.

CPU can be used:

https://github.com/rupeshs/fastsdcpu/pull/346

Is he saying the supply of ddr4 went down because they’re switching to ddr5?

Even simpler is you have to register within a year to get a copyright on a work and renew each year with an exponentially increasing fee.

Ie If you want to hold the copyright to a movie for 40 years you’re welcome to pay 2 billion dollars.