_NoName_

Get a switch lite, yeah. I highly recommend playing star fox 64, Pokemon stadium, and the older legend of Zelda games. They are very good entry points into gaming and are all available via a Nintendo online membership.

Hey, I’m no Ubuntu user! … I’m a linux mint user. /j

I agree that the Lost Cause myth is romantic, and I’d say that Whedon used it very effectively as a theme.

I can’t really agree with Feral Historian’s take that this myth was ‘kinda true’ for the south as that seems to suggest that southern fighters are somewhat absolved of guilt. “They were just trying to preserve their way of life!” When that life revolved around assisting plantations in maintaining control over their slave populations, often by hunting down slaves, or acting as overseers of their work, rings hollow to me.

It reads the same as anyone who’s kept their head down to get by in an unjust system. You are culpable. And then fighting to try and preserve that unjust system makes you even more culpable.

Eh, if you have the money, it’s probably fine.

My current weird things:

• Switched from my normal time zone to UTC on all my clocks.
• Chose to study Esperanto instead of a more practical language because of its past of hopefulness
• Plan on switching to a 13-month calendar in the future (is going to require modifying the opensource calendar I use to allow the change)
• Switched to barefoot shoes not for health but the diminished cost in materials.
• changed my keyboard to a dactyl manuform for the hell of it.
• changed my keyboard scheme to Dvorak now.
• changed my videogame control scheme from wasd to dcxf to accommodate the keyboard (in Dvorak that’s exku).

We’re all alittle eccentric. Some of us more than others.

“Skibidi Toilet” is all the cube says.

If we’re relying on the individual to keep themselves correctly informed, we might be thoroughly fucked lol.

Maybe we should start pinning classes on media literacy, critical thinking/analyses to help the situation. Not even sarcasm, it genuinely might be needed as a built-in feature included in every web browser at this point.

You’re correct, we do. We all assist the operation of this war machine. It may not be in our control, but that does not nullify it. We bloody our hands to live instead of choosing to die, and we are all culpable to an extent for it. Some more than others, though.

People in all societies have to ignore a multitude of moral contradictions in order to live normal lives. That is the manufactured consent all states impose upon their people.

404 not found lmao

True, I would say that there’s multiple issues dealing with AI that are more pressing:

• The massive amount of exploitation used to power AI
• The use of AI to distance the creators from the accidents the AI causes
• The danger of mass-proliferation of hazards across the web and globe
• the massive amount of waste created by AI

These aren’t all of them. One thing I’ve noticed, however, is that these aren’t really AI-specific issues - these are all issues caused by automation and lack of regulation. This lack of proactive regulation is also very likely a failing of our currently neoliberal government systems.

I think that is why so many AI hype-mongers draw attention towards A(G)I safety, because they don’t want attention drawn to the actual danger which is automation safety in general.

Alright, I see what you’re saying now. We’re on the same page.

As an additional thing regarding AGI, I think it should be noted that ‘human-level’ and ‘human-like’ are importantly distinct when talking about this topic.

In reality, if an AGI is ever created, it will most likely not be human-like at all. Humans think the way we do out of an evolutionary conditioning for survival, a history an AGI will not be coming from. One example given by Robert Miles is a staple making machine becoming an ASI, where it essentially would exist solely to make as many staples as it could with its hyperintelligence.

We mean to say that this AGI is a ‘human-level’ intelligence in that it can learn to utilize abstractions and tools, be able to function in a large variety of environments without intervention or training, and be able to learn in a realtime fashion.

Obviously, these criteria for any AI shows just how far away we are from achieving anything right now.these concepts are very vague and the arguments for each one’s impossibility or inevitability are equally vague and philosophical. It’s still mostly just stuffy academics arguing with each other.

One statement I agree with, though, comes from the AI safety collective: We don’t know what we’re doing, and we should really sort that out. If any of this is actually possible and we accidentally make an AGI/ASI before having any failsafes or contingencies, it could be very bad.

I am not bait-and-switching here. The switchers were the business-minded grifters which made the term synonymous with LLMs and eventually destroyed its meaning completely.

The definition I gave is from the most popular and widely used CS textbook on AI and has been the meaning used in the field since the early 90s. It’s why videogame NPCs are always called AI, because they fit the conventional CS definition, and were one of the major things it was about the most.

As for your ‘1’, AI is a wide-but-very-specialized field and pertains from everything from robots to text autocomplete. If you want the most out of it, you need to get down into the nitty gritty and really research the field.

On a Seperate note, while AI safety, AGI, and the risk of the intelligence explosion are somewhat related to computer science’s pursuit of AI systems, they are much more philosophical currently, and adhere to much vaguer definitions of AI, Such as Alan Turing’s.

IIRC, within computer science, which is the field most heavily driving AI design and research forward, an ‘intelligent agent’ is essentially defined as any ‘agent’ which takes external stimulai from a collection of sensors in some form of environment, processes that stimulai in a dynamic fashion (one of the criteria IIRC is a branching decision tree based on the stimulai), and then applies that processing to a collection of affectors in the environment.

Yes, this definition is an extremely low bar and includes a massive amount of code, software and scripts. It also includes basic natural intelligences such as worms, ants, amoeba, and even viruses. One example of mechanical AI are some of Theo Jansen’s StrandBeasts

Right on the money. One of the big things with AI safety is “we have no fucking clue how AGI can originate so we are constantly in the dark.” If we ever did create it, we likely would not immediately know it was AGI, and that creation could go very terribly in a number of ways.

There will be collateral damage. There always is. The idea there wouldn’t be collateral damage is already setting the bar higher than is feasible.

literally says: baseline is the average from 1991 to 2020, and the data is from ERA5.

For linux users, you can add it to Steam as a nonsteam game for proton support and add the .NET 8.0 runtime environment using the explorer app in protontricks. It runs great via that method.

I’d argue Hanlon’s razor is not a very good heuristic. It ultimately presupposes the user of it is the mental superior in the situation, and does not take into account polarized and ambiguous controversies. It also encourages energy wasting by presupposing the issue lies with mental capacity or education, suggesting that you could educate your opponent out of their stance.

I’d recommend moving towards more energy-conserving practices. Rather than arguing your points directly, it’s better to first understand why the opposition would be taking their current stance and adjust your argument based on what common ground you both share.

Possibly the greatest skill is to just learn when it’s no longer worth your time to argue with them.

What’s a smog?

It not a massive gap like that, but it’s tall enough and far enough away that 99.9% of people who try, fall.

Title’s hard click bait. It leads up to talking about Arrow’s Impossibility theorem, which sets forth some explicit rules for defining a fair election, and communicates that all finite-vote systems are dictatorships that fail to meet those criteria, including ranked choice voting. Arrow’s theorem also uses ‘dictatorship’ in a pretty weird technical fashion, meaning that one individual can technically sway any election with their sole choices.

Directly after, though, Veritasium does acknowledge that Duncan Black pokes holes in the actual value of Arrow’s theorem, by showing that many ordinal voting systems will still favor majority preference, and that Arrow’s theorem does not apply to rated voting systems like approval voting and STAR voting.

It’s pretty bizarre that he decided to make such a click-baity title and front-load only skim over the better solution at the end, right near election month.