riskable

The article completely misses the problem that Mythos brought into the light: Business can't patch fast enough.

Example: Let's say you're running Kubuntu on your desktop and Mythos uncovers 1000 vulnerabilities in various open source packages. The maintainers of said packages will have a really busy few days putting together patches/fixes and then it'll be a few more days while Canonical packages up the new versions and updates the repos. Then everyone running Ubuntu (or derivatives) will get a really big package update and then the world will be mostly done with something like a "Mythos patch rush."

Now consider the same situation at a business where everyone's running Windows desktops. There's no central package manager and pushing out updated software is always an involved process. Most businesses have a mandatory one-week or even one-month waiting period before they apply any Windows updates because Microsoft has screwed them up so horribly so many times they can't be trusted.

Even if a business is using a 3rd party software management/deployment tool, they're all mostly manual things. That is, someone has to put that updated package into the system and mark it for immediate deployment/push. If there's 1000 packages that need to be updated, that's going to completely overwhelm most IT departments for quite some time.

...but this is just scratching the surface of the patching problem in the world of business! Most businesses have legacy software that they rely on that needs to be tested against the newer stuff that gets updated. This means they can't deploy any updates until that testing is done.

Sometimes that testing takes months. Sometimes it can take over a year! And then there's the nightmare scenario that's more common than you'd think: Vendors that won't let you update your shit until they have completed their testing.

Example: We have a vendor product at my employer that takes about six months to complete testing of any new version because it requires coordinating with over 100 teams (because the product interacts with their stuff). A new version can only be deployed after all those people sign off on it (saying that they tested their product against the new version and it worked as it should).

Businesses have pretty much learned how to deal with Windows updates by now, with all sorts of protections and back-out plans in place. Yet with all of that it still goes horribly wrong all the fucking time! Now imagine thousands of random software installed across your enterprise all needs the same treatment. Like... NOW.

They don't have enough IT people. Their IT architecture was never meant to handle this scenario!

TL;DR: Just use Linux and enable automatic updates! Make sure all your shit gets updated via the package manager too!

7.7 square mile nation that's 80% uninhabitable due to mining phosphates with approximately 10,000 people in the middle of nowhere finally makes the news again after decades of nothing happening.

There is a story people tell about AI regulation, and it goes like this: the technology is moving too fast, governments can't keep up, regulators are overwhelmed, and by the time anyone writes a law the thing they're trying to regulate has already evolved into something else entirely.

No. That's not the story people are telling about AI regulation. It goes like this:

If we regulate AI, that will give an advantage to AI companies in other countries. They will surpass our AI capabilities and leave us in the technological dust.

There's a related story:

If we regulate AI, we're likely to create more problems because Boomers don't understand technology.

For those wondering how TF a data center that is not even online yet could be using so much water:

• Soil compaction
• Dust suppression

That's it. For the scale of that project, that's all it would take to use 30 million gallons.

When they're done, they also need to flush miles of pipes which could also use a few million gallons but I don't think they're at that phase yet.

This amount of water would be used no matter what buildings they were constructing in that amount of space. Meaning: This article is pretty misleading clickbait (because a lot of people hate data centers lately, the headline will generate clicks).

The alternative is to have loads of data centers instead of one big one. That's more expensive, so they build a single big one.

If you don't like data centers, it makes sense to build a few really, really big ones like this rather than lots of smaller ones. Because data centers are necessary and important aspects of modern living. They're not going to just go away. There's nothing that could replace them.

Koalas have nearly identical fingerprints as well:

https://www.pbs.org/wgbh/nova/article/koala-fingerprints/

I browse "All" most of the time and the Femcel Memes show up pretty regularly. It's not like this gif though. It's more like watching a super interesting science experiment.

"Ah, yes. I see. I see. How interesting!"

My scientific notes so far:

• They crave cuddles. It's almost like a cuddle-based economy.

I swear, if there's an afterlife, you won't be judged based on how good or bad you were. It'll be based on your hypocrisy.

Example 1

Death: "You were a mob boss. You had many people injured, tortured, and murdered. Did you ever try to fool anyone into thinking you were not a mobster? That you were innocent?"

Mobster soul: "Only law enforcement! I mean, everyone knew I was the head of a criminal organization. I was a proud mob boss! I acted accordingly and never misrepresented myself!"

Death: "You will be reincarnated. We have many worlds in need of villains."

Example 2

Death: "You were a politician, fraudster, and serial philanderer. You took many lovers in secret. Made many promises you never kept. That you never intended to keep."

Politician soul: "Guilty as charged! But hey, I gave millions to charity! I was super polite and never personally physically harmed a single person. I mean, so many people thought I was great! Obviously, that means I was!"

Death: "You will serve in hell."

The source of these reported side effects is sketchy AF but... Most of these symptoms are just the usual things associated with rapid weight loss.

It's easier to walk through the eye of a needle than convince religious people they're being scammed.

Bolton: Trump is going to weaponize the DOJ and the FBI!

Trump: Yes. Now do me a favor and resist arrest or something.

I'd say this is a betrayal but no: This is how Trump has always operated. Bolton knew this when he went to work for Trump. This is merely the logical conclusion for anyone who willingly works for Trump.

Plagiarism isn't correct either. For something to be plagiarism it needs to be both copied exactly as well as intentionally lying about the authorship (i.e. you claim you wrote something that you didn't).

The output of Large Language Models similar in some ways to plagiarism—when someone claims they wrote something that was actually just the output of an LLM. However, that really isn't the same thing because an LLM isn't a legal entity that's capable of owning anything.

LLMs are also just a tool. An advanced tool that can generate all sorts of texts and software but they still require a human to tell them what to do.

If some human asks ChatGPT to write something in the style of Stephen King what even is that? That's not against the law (you can't copyright a writing style). It's basically, "not a thing." Is that even a bad thing? I honestly don't think so because of I put myself in those same shoes: "write a comment in the style of Riskable" all I can do is 🤷. It's of no consequence.

I'd also argue that it's of no consequence to authors either. What impact does it have on them? None. It doesn't effect their book/whatever sales. It doesn't hurt the market for their works—if anything, it makes the market for their works greater because their works won't be total shit like the output of some LLM (LOL).

Frogamagogery