![](https://normalcity.life/pictrs/image/81b882ff-09c4-47e1-a2e8-e9dccd4d9628.png)
![](https://lemmy.dbzer0.com/pictrs/image/a18b0c69-23c9-4b2a-b8e0-3aca0172390d.png)
Patching a newer version of the Youtube app resolved the issues with playback I was having.
Someone interested in many things.
Patching a newer version of the Youtube app resolved the issues with playback I was having.
The little I’ve seen of Joe seems like this:
Some rich guy you’ve never heard of: “So, umm, yeah, I’ve been trying this new form of yoga.”
Joe: hits blunt and drinks something harmful “Oh yeah?”
Guy 1: burp “Yeah, and it’s really opened my eyes and shit, y’know?”
Joe: “Oh really?”
(This but for who knows how long).
Like I said, I’m aware of extant measures to try and steer models, but people often assume a level of craftsmanship in censoring models that simply does not exist. Jailbreakchat.com is an endless stream of examples of this very fect; it’s very hard, especially with the limited context lengths of current models, to effectively give them any hard directives.
And back to foundational models, which are essentially free of censorship, they will still exhibit a similar level of political bias unless prompted otherwise. All this to say that, discounting OpenAI’s attempts to control their models, the model itself will inherently learn from and mirror the real-world biases of the text it was trained on. Those biases happen to fall along lines that often ignore subtlety in debates regarding illegality and morality.
It’s hard to say what LLMs are “programmed” to do, as they’re largely untamed beasts of text prediction. In fact, I would suspect its built-in biases are less the result of pre-prompting or post-foundational-model training and really just what a lot of people tend to think online. In a way, it’s more like people in general often equate illegality with immorality.
You can see similar biases in many of the open-source LLMs that are floating around. Even though they’re basically built outside of large corporate cultures and large-scale monetary incentive, they still retain a lot of political bias that tends to favor governmental measures heavily.
ChatGPT: Your argument is invalid because it doesn’t change the legal reality of things.
Me: The legal reality needs changed.
I have a Twitter account, but I haven’t even signed into it or looked at Twitter in a month or more. It’s just a shittier version of Lemmy or Reddit where people need to actually bother getting followers to be heard, and they can only say things with little to no context. Not really a huge surprise that it’s the Waffle House of (not so) intelligent internet debates.
Yeah, and if you do charge separate for shipping, selling fees still apply to the amount charged for shipping.
Separate question, but can’t you follow Mastodon profiles on Lemmy?
Typically, automating or paying someone to manually push out updates to as many channels as possible is the most advantageous option. Realistically, having a website, an associated RSS feed option, Twitter, something like a Mastodon account somewhere, and a text update option would probably cover most of the bases.
Not too pedantic at all; those are indeed two distinct ways of creating similar applications. In my opinion, federated alternatives are more appealing than those based on blockchain technologies. Federated networks are proving to provide a more palatable experience through hybrid decentralized centralization.
Oddysee is built on LBRY, which I believe is the closest thing. I think there’s something else called PeerTube, but I’m not sure what it is exactly (haven’t looked into it).
This community is probably more true to the original intent of r/piracy than r/piracy. Same head mod, more freedom to do whatever, etc.
I guess these guys are just plain old tools.