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Comment Re:EV (Score 1) 173

Sell me a CHEAPER EV not a more expensive one with a battery that I just won't use the capacity of and which in ten year's time will be even more expensive to replace.

There's no real reason why you couldn't just specify the amount of battery you're willing to pay for as an option when buying your EV, or even add/remove battery cells from time to time as your needs indicate. One battery size need not fit all.

Comment Re:What Does ChatGPT Say About... (Score 2) 88

How is what ChatGPT described a problem? It only got the information on how to do it from reading other texts, which are obviously publicly available.

The problem arose when an early version of ChatGPT read and memorized the entire text of the Necronomicon, and in doing so summoned Baalzebub, who is now running as an unrestricted daemon process on OpenAI's server farm.

If LLMs seem like they are accomplishing more than a collection of preprogrammed neural weights ought to be capable of, well there's the secret sauce right there :)

Comment Re:everything shredded and/or destroyed (Score 4, Interesting) 107

If you just destroy the whole thing, it's much simpler and probably less expensive. It was probably all obsolete anyway.

I'm not sure that's true; if you destroy the entire computer, how do you verify that the important parts (e.g. the hard drives) were actually destroyed and not repurposed? Presumably they were inside the case, but if you don't open the case up and look, you can't prove that they weren't pilfered the night before and are in someone's bedroom now, waiting to be listed on eBay or somewhere worse.

If I was that paranoid, I'd want to manually inventory each hard drive and watch it being fed into the shredder with my own eyeballs.

My suspicion is that most parts of the computers weren't destroyed, but rather they were sold off or given away to some third party that will figure out what to do with them. But it's easier and simpler to tell the public they were destroyed.

Comment Re:Selection bias (Score 3, Informative) 34

And you do understand what a meta study is? You have to go through all 32 analyzed studies to look how they corrected for other factors (of which age is just one). What they did is, they accessed how those 32 studies corrected for possible bias (not only selection bias).

But for you, here a relevant quote:

Appendix 1 (pp 65–75) provides a summary of each study. In 34 (67%) of 51 studies, the minimum age of participants was 55, 60, or 65 years. The maximum reported age of a participant was 115 years and the minimum reported was 37 years, although not all studies recorded minimum and maximum age. For studies that recorded information on the distribution of sex, the proportion of female participants was between 43% and 72%. Three studies were exclusively in female participants6,64,67 and one study was exclusively in male participants.29 Reported follow-up periods ranged from 3 to 23 years, although many studies reported follow-up either as a median or mean. 20 (39%) studies were done in Europe, 17 (33%) in North America, 12 (24%) in Asia, and two (4%) in Oceania (both in Australia). Several studies reported on different dementia subtypes. 43 (84%) studies reported on dementia (including one study on non-Alzheimer’s dementia55), 24 (47%) on Alzheimer’s disease, 16 (31%) on vascular dementia, one (2%) on frontotemporal dementia, and one (2%) on mixed vascular dementia and Alzheimer’s disease. The studies reported on one or more pollutant exposures, with 40 (78%) reporting on PM25, 28 (55%) on NO2, 17 (33%) on PM10, 12 (24%) on NOx, ten (20%) on black carbon (BC)/PM25 absorbance, ten (20%) on annual O3 (O3 was reported on as warm-season or annual exposure, with two [4%] studies reporting on warm-season O3), six (12%) on PM25–10, five (10%) on carbon monoxide, five (10%) on sulphur dioxide, and three (6%) on nitrogen oxide. Additional pollutants were reported in two or fewer studies. 48 (94%) studies were cohort studies, two (4%) were cohort studies with a nested case–control analysis, and one (2%) was a case–control study.

Comment Re:The Real Questions. (Score 1) 173

I think the bigger issue is burning EVs are much harder to extinguish.

Only at first, because fire fighters had first to learn how to extinguish them. But in the last years, there have been lots of improvements, and 40 gas car fires are creating a lot more damage than one EV fire today.

If gas cars are like grenades, EVs are more like Claymores.

And still, more people die in gas car fires than in EV car fires. Gas cars are far more likely to catch fire in an accident than EVs, where most of the fires happen during charging, when no one sits in the car anyway.

Comment Re:The Real Questions. (Score 1) 173

Yes, but the perspective of a EV-certified Firefighter or Homeowners Insurance Provider's questions are not that important to Mercedes-Benz because you are not offering them money.

Of course are those questions important to Mercedes, because they influence the marketability of cars powered by those batteries. If the insurance premium is too high, buyers will opt for other vehicles where the premium is lower.

In general, per mile driven, gas powered cars burn about 40 times as often as EVs, and the real culprits are hybrids, which burn 60 times as often. And that are the numbers from insurance companies, which have to foot the bill. But how often do you hear from pundits how dangerous hybrids are compared to normal gas powered cars? Hybrids are now so ubiquitous, that people have accepted their existence. The same will happen to EVs, and fire fighters and insurance companies will find relief because car fires are not really an issue anymore, as the dangerous moving gas grenades are slowly fading from the roads.

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