Sure, I'm not saying they're somehow worse than ICE vehicles, they're demonstrably not. But particulate matter is the big health issue and not gases, and more and more studies is highlighting that tires are very big on particulate matter. https://www.theguardian.com/environment/2023/feb/23/health-impact-tyre-particles-increasing-concern-air-pollution

https://www.theguardian.com/environment/2022/jul/25/tyre-dust-the-stealth-pollutant-becoming-a-huge-threat-to-ocean-life

https://www.theguardian.com/environment/2020/jul/14/car-tyres-are-major-source-of-ocean-microplastics-study

Note that all these studies are VERY recent considering how long we've been running vehicles with rubber based tyres. I also strongly dislike how the report you linked only focused in properly on brakes, which I know full well are vastly superior on hybrid and BEVs due to regenerative breaking and the restarted use of drum-style breaks. And more or less dismisses the tyre aspect, which is extremely irresponsible in my opinion. Granted though that it's arguing from a "Are BEVs worse than ICE vehicles?" so I can excuse some of it.

Not when you consider that so many are rather old and afraid of change (something which correlates with age).

Not that I love ICE cars or anything but isn't the big health impact from heavy vehicles like delivery trucks and, more importantly, from the rubber particles caused by car tires? A problem that in general worsens with BEVs since they're, on average, heavier? I'm sure smell will improve significantly, but breathing tire and road dust is the main health concern as I've understood it. Most other pollutants get rather effectively caught in the catalytic converter, aside from CO2 but that isn't unhealthy per se. CO in small doses out doors also isn't a big issue. NOx bad for nature but likely of low harm to humans. Etc. Someone please correct me if I'm misinformed.

GPT 4 can write decently but it's either going to be a bit corny or very derivative. Really a LLM is the wrong type of AI for this task. A GAN (a type of Generative AI) built for writing is going to produce a lot better text in terms of creativity and bringing something new to the table. If it's too out there you could then pass that through GPT to fix any potential language issues or coherency issues (in terms of language, GPT can't fix plot holes well).

That's the most hipster headline I've ever read. And on brand for Apple/Mac's to have a dongle issue...

H.264 should absolutely work since it supports Intel Quick Sync Video (QSV), which is mainly focused on H.264. I guess it then depends on if there is QSV support in unmanic / the plugins you're trying?

China stuff loves to slap logos on there that do not apply, so probably without having seen this particular abomination myself. Fake CE markings are super common though.

Exactly, surely both will hate it. Classic parenting, if you can't play nice no one can have it, puts toy on shelf. The really expensive part is building the infrastructure needed on the little space left to house all the people displaced. But hey work for a shit ton of people

It's true for both sides as they both can't tolerate one another.

I see no possible solution without a third power establishing a wide ass DMZ between the two and make sure the zone fucks over both equally. Ideally they'll stop hating each other and focus on the DMZ being ass. Might give us relative peace for like a decade or two.

Ah okay. If you don't have any PCI slots available then USB is going to be the only option then. Though if you have WiFi you could use that as your fail over solution.

Basically, from a hardware standpoint, I'd say a minimum viable solution would look like (no wifi):

• 2 cheap 4-6 port Switches. Preferably with an uplink port and then you can mock redundant ISP connection by putting a splitter on the WAN connection and putting it into each of the two switches.

• 3-4 worker nodes each connected to both switches. Preferably a PCI nic but if that is a non-starter then USB. Though here is where pretty much every cent should be spent. Important that each has a minimum of 200 GB storage because that enables you to abstract storage into a CEPH pool and still have enough space to run some decent example workloads.

All other redundancy can and should be handled in software. OpenStack is one approach, Proxmox can probably also work.

Then skip redundant networking and use that cash on the router hardware such that you get enough ports that you won't need a switch

Personal Private Cloud then all the money spent on a truly redundant network back-bone is far better spent on just about anything else. Especially if your solution relies on notoriously unrealiable USB nics.

If redundant everything is important then you need to change your planning toward proper rack servers and switches, only way to get a cost effective reliable redundant setup. Use CEPH rather than RAID and ideally, if your workloads are runnable as containers, use a solution that allows you to abstract away the whole server concept as well. Hyper-converged infrastructure is excellent for cost effective setups.