I understand what you’re saying, and that in the real world, bad security practices abound among average users who are likely to have passwords like “12345678” or “password”

But in this fictional scenario, my advice is directed at someone who has something valuable enough to protect behind a 121 character passphrase against a very determined adversary who has a Planck Cruncher at their disposal and is willing to run it for 100 years to crack that someone’s data.

A little extra security protocol might be worth the extra effort.

I can see how that would be unclear, and I apologize for the misunderstanding.

You’re describing the best case scenario for the person wishing to protect their password, where the Planck Cruncher guesses the password on the very last possible combination, taking 100 years to get there.

The Planck Cruncher might guess the password correctly on the first try, or it might guess correctly on the last possible combination in 100 years.

What we really want to measure are the odds of a random guess being correct.

The most “realistic” scenario is the Planck Cruncher guessing correctly somewhere between 0 and 100 years, but you want to adjust the length of the password to be secure against a powerful attack during the realistic life of whatever system you’re trying to protect.

On average, assuming the rate of password testing is constant, it’ll take the Planck Cruncher 50 years to guess the 121 character password.

And that assumes the password never changes.

If the password is changed while the Planck Cruncher is doing its thing, and it changes to something that the PC has already guessed and tested negative, the PC is screwed.

Hint: Change your password regularly. edit: The user should change their password regularly during the attack.

Each password change reduces the risk of a lucky guess by that many years of PC attack.

And cryptocurrency mining. That drove a lot of GPU prices through the roof before the pandemic.

Also, most young kids play games on phones and tablets, because parents don’t need to buy an expensive console or PC.

Check this out this short by a game developer if you want to feel old…

https://youtube.com/shorts/h8ElOpITBjQ

I find the boss battles in Pixel Dingeon too difficult when I am forced into them before my character is ready.

Pathos Nethack is a better mobile dungeon crawler with no time pressure for the fixed encounters.

Oh good, then twatter can now become as successful as Truth social…

Forum.Rojadirecta.es has nodes dedicated to pretty much any major sporting events: Soccer, NFL, MLB, F1, NBA, Rugby Union, et al.

Mostly they’re direct downloads from sites with way too much advertising, too many popups and misleading links, so they’re best handled with JDownloader2

Actual torrent links are available sometimes.

There are plenty of crops that have to be tended and harvested by hand: Most green leafy vegetables for example.

This opens those fields to dual use alongside power generation, which might reduce agricultural use of fossil fuels, and provide shade for field workers which is especially dangerous with climate change raising heat levels.

Avistaz has the a great selection for Chinese, Japanese, Korean, Indian, Thai, Hong Kong content.

The Internet version of QVC or Home Shopping Network that previous generations used to watch.

I’m neutral impoverished.

Insider spoke to six workers in tech who recently left Austin or are trying to relocate …

Lost 3 lbs!

But I binged on food today…

I think you’re misunderstanding what the article is saying.

You’re correct that it isn’t the job of a system to detect someone’s skin color, and judge those people by it.

But the fact that AVs detect dark skinned people and short people at a lower effectiveness is a reflection of the lack of diversity in the tech staff designing and testing these systems as a whole.

They staff are designing the AVs to safely navigate in a world of people like them, but when the staff are overwhelmingly male, light skinned, young and single, and urban, and in the United States, a lot of considerations don’t even cross their minds.

Will the AVs recognize female pedestrians?

Do the sensors sense light spectrum wide enough to detect dark skinned people?

Will the AVs recognize someone with a walker or in a wheelchair, or some other mobility device?

Toddlers are small and unpredictable.

Bicyclists can fall over at any moment.

Are all these AVs being tested in cities being exposed to all the animals they might encounter in rural areas like sheep, llamas, otters, alligators and other animals who might be in the road?

How well will AVs tested in urban areas fare on twisty mountain roads that suddenly change from multi lane asphalt to narrow twisty dirt roads?

Will they recognize tractors and other farm or industrial vehicles on the road?

Will they recognize something you only encounter in a foreign country like an elephant or an orangutan or a rickshaw? Or what’s it going to do if it comes across that tomato festival in Spain?

Engineering isn’t magical: It’s the result of centuries of experimentation and recorded knowledge of what works and doesn’t work.

Releasing AVs on the entire world without testing them on every little thing they might encounter is just asking for trouble.

What’s required for safe driving without human intelligence is more mind boggling the more you think about it.

The moment those Chinese EV startups enter the US market, Tesla will be in real trouble if they don’t have their product quality image problem fixed by then.

It’ll be like Detroit’s Big 3 automakers tanking when small fuel efficient Japanese cars landed in the 70s oil crisis.

Assuming those Chinese EV companies don’t have their own quality problems…