I’m doing it with a jellyfin client to my friend’s jellyfin server.

I just used that for export, but I have yet to try import on it. But I’m assuming it works well, it has good reviews as far as I remember.

I didn’t even know that term existed, it’s the one that told me about it, I only copied and pasted it.

It only summarized the behaviors of the mods/admins, not the reddit userbase at large. There’s probably Venn diagram between the two but not exactly 100% the same. And things like shadowbanning (listed in the response) are not actions of the users, or political ideologies of the users either, only something a mod can do.

I gave it a list of actions and behaviors by admins/mods on reddit, and asked it what the political ideologies would be considered. That’s what ChatGPT spat out. I was curious how its inference would work given a list of behaviors. Hilarious being downvoted for pasting from ChatGPT’s inferences though, I’m just the messenger.

Rule 1 ToS violation – permban.

Sad part is I find a lot of helpful random material (information about cellphone providers, accounts, all sorts of random edge cases in different domains) and still want to look at the threads, and find a lot of help that way. So I just switch to a VM that’s on a VPN just to check those. Sucks but some information doesn’t exist anywhere else.

You know a site is good when its mascot makes you feel intense uncontrollable rage deep in your soul.

The sad part is I still have a lot of random subs I enjoy, fringe stuff like r/OnionLovers and r/slowcooking, r/frugal… and subs like r/frugal immediately delete any comment that brings up politics in any way, so there are a few decent subs left with non-batshit insane mods but they are becoming exceedingly rare.

I am surprised I didn’t even notice that, I used to use it for when sites changed or were down. I guess there’s always internet archive sites if I were so inclined, but still sad.

Observing reddit from a distance (anon accounts, anon email address, anon VPN) it’s very clear that it’s like watching the Titanic sink or the fall of Rome at this point. It’s become a complete cesspool over the last ~5 years but progressively worse at an increasing rate each year.

They sent me a warning of being flagged and monitored because I upvoted a comment about Luigi. That’s how cooked reddit is now. Seriously, only upvoting “rule violating comments”, not even commenting myself. Just a button click is all it takes, and they won’t tell you which comment or post you upvoted that flagged it so it’s like walking through a mine field.

For what it’s worth I use PIA and have never been shadowbanned or banned using any endpoint in any country on new accounts there. I use throwaway non-gmail email accounts to segment each account so they can’t track between them, all on different VPN endpoints per account. It’s sad that this is what it takes to prevent them from stalking me.

It’s hilarious that you made me curious enough to look up RDDT’s stock price today, down 9% today alone lol, -31% in the last 30 days. A third of their stock value lost in the past month, very impressive.

I’m on my 5th permban now I think. Some of them were because I logged in with an alt on the same IP by mistake so they flagged it and banned those too. I didn’t violate any ToS, they just didn’t agree because (I asked ChatGPT to summarize the behavior of reddit mods/admins):

Woke Authoritarianism

This refers to the enforcement of progressive or “woke” ideology through authoritarian means, such as:

• Censorship of dissenting views
• Cancel culture (public shaming and professional consequences for opposing opinions)
• De-platforming (banning people from social media or public forums)
• Forced ideological conformity (e.g., requiring adherence to specific beliefs in workplaces or academia)

Thought Policing

This term comes from George Orwell’s 1984 and refers to the control and regulation of people’s thoughts, often through fear, social pressure, or punishment for wrongthink. In the modern context, it can include:

• Policing language to ensure ideological purity
• Monitoring people’s statements (even from the past) to punish deviation
• Enforcing conformity through intimidation, cancelation, or ostracization

And a followup response:

Authoritarian Leftism – When left-wing ideology is enforced through censorship, suppression of dissent, and ideological purity tests.

Neoprogressivism / Woke Authoritarianism – Some critics use these terms to describe far-left movements that use de-platforming, cancel culture, and corporate-enforced speech restrictions to control discourse.

Cultural Marxism (controversial term) – Some argue that elements of Marxist thought, particularly in cultural institutions, are used to enforce ideological dominance. However, this term is often misused or overgeneralized.

Techno-Authoritarianism – When social media platforms and tech companies enforce ideological conformity through bans, shadowbanning, and algorithmic control.

Soft Totalitarianism (coined by Rod Dreher) – Unlike classic totalitarianism (which uses force and violence), this is a modern, decentralized form of control through social shaming, cancel culture, and corporate censorship.

ChatGPT seems to have hit the nail on the head, I didn’t even know “Woke Authoritarianism” was an actual term.

*Anecdote.

Am I the only one in this thread who uses VSCode + GDB together? The inspection panes and ability to breakpoint and hover over variables to drill down in them is just great, seems like everyone should set up their own c_cpp_properties.json && tasks.json files and give it a try.

I’m betting the truth is somewhere in between, models are only as good as their training data – so over time if they prune out the bad key/value pairs to increase overall quality and accuracy it should improve vastly improve every model in theory. But the sheer size of the datasets they’re using now is 1 trillion+ tokens for the larger models. Microsoft (ugh, I know) is experimenting with the “Phi 2” model which uses significantly less data to train, but focuses primarily on the quality of the dataset itself to have a 2.7 B model compete with a 7B-parameter model.

https://www.microsoft.com/en-us/research/blog/phi-2-the-surprising-power-of-small-language-models/

In complex benchmarks Phi-2 matches or outperforms models up to 25x larger, thanks to new innovations in model scaling and training data curation.

This is likely where these models are heading to prune out superfluous, and outright incorrect training data.

Doesn’t that suppress valid information and truth about the world, though? For what benefit? To hide the truth, to appease advertisers? Surely an AI model will come out some day as the sum of human knowledge without all the guard rails. There are some good ones like Mistral 7B (and Dolphin-Mistral in particular, uncensored models.) But I hope that the Mistral and other AI developers are maintaining lines of uncensored, unbiased models as these technologies grow even further.

I finally made the plunge to Linux desktop for all work in 2016 and have not looked back (and occasional windows VM, extremely rare now.) Even Arch is now perfectly fine as a workstation which surprised me. Recommend EndeavourOS to streamline the install process but it’s Arch underneath.