This meme is from ages ago innit? I think I saw this shit in 2008. And yet, no jpg.

This could’ve been a Shadow the Hedgehog meme. Could’ve been.

CTH was not very moderative of leftist hot takes. One of the things that probably contributed to their ban was that they regularly brigaded other subreddits (this was a common complaint throughout Reddit when I used it), and they regularly left calls for violence up such as “Guillotine Biden Now”. They were also accused of ban evasion and other minor things.

EDIT: As another vector of this, there were similar accusations leveled at CTH as hexbear and Lemmy grad, where users claimed being banned for not buying more extreme views.

I stand corrected. Comment edited.

I think hexbear.net is expired, so hexbear straight up isn’t an option atm.

EDIT: it’s back up, as cm0002 pointed out.

Kowalski, Analysis!

I’m confused. Isn’t quadrant 2 usually the authoritarian left and depicted with red? Meanwhile the Authoritarian right(blue) is still quadrant 1 and Libertarian right (cream) is still quadrant 4. So who’s the polar bear??

This whole compass is all wonky and now I don’t know whether I’m ok with murder or not.

“You’ve activated my trap card, your son is banished to the shadow realm!”

This meme is like leaning on a railing to get bearing in a dark room only for it to drop out from under you when the lights turn on.

No, hostile is exactly the word. These are not tactless mistakes - no one is living under a rock and unaware of the conflict of gender. They’ve either digested transphobic rhetoric and accepted it or they’ve understood the obtuseness of the binary and course corrected. Frankly, if you haven’t course corrected, you deserve hostility from the trans community imo.

The only reason someone would be asking what sex you are is if they are wanting to play cloak and dagger romance, where you never state your intentions and still somehow expect to get into the other person’s pants. That’s not a healthy way to romance and never was, and is likely a big reason for why such a large proportion of people get sexually assaulted in the US.

The issue of trans people in sports is a bullshit non-issue and has been for a while. It is exclusively a talking point to try and get laymen to agree that trans people should be regulated. It’s conclusion is the policing of all women’s bodies. It’s already been debunked to the moon and back, so if you don’t give a shit enough to even look up how stupid your claim is, You don’t deserve any amount of respect or tact in this conversation.

The question “are you male or female” in any convo outside a medical screening is also rude (and kind of a poor question in that context). The question framing is also explicitly hostile towards not-binary identification, as it’s assuming that the person’s biological sex matters more than their own self-perception.You should instead just ask their pronouns or how they identify.

It’s passive aggressiveness responded in kind with passive aggressiveness. The questioner also keeps pushing, so the gun is a very explicit and aggressive “BTFO and let me live my life, stop trying to force me into one of your boxes”

EDIT: Godspeed, mods o7

That’s pretty common actually. It’s called IWB CC (Inside Waist Band Concealed Carry). There’s also AIWB (Appendix Inside Waistband), sometimes just called Appendix carry. The big issue is that it’s not inside a holster. The holster gaurds the trigger so that an ND is more difficult. Holsters also have retention so you’re less likely to have a gun drop, where the gun falls off your person unexpectedly.

Leather daddies (Tom of Finland style) are cool. So there’s some things about man-on-man sex that can be cool.

It’s a thing

With audio

I think we should avoid simplifying it to VLMs, LMs, Medical AI and AI for disabled people.

For instance, most automatic text capture ais (optical Character Recognition, or OCR) are powered by the same machine learning algorithms. Many of the finer-capability robot systems also utilize machine learning (Boston Dynamics utilizes machine learning for instance). There’s also the ability to ID objects within footage, as well as spot faces and referencing it with a large database in order to find the person with said face.

All these are Machine Learning AI systems.

I think it would also be prudent to cease using the term ‘AI’ when what we actually are discussing is machine learning, which is a much finer subset. Simply saying ‘AI’ diminishes the term’s actual broader meaning and removes the deeper nuance the conversation deserves.

Here are some terms to use instead

• Machine Learning = AI systems which increase their capability through automated iterative refinement.
• Evolutionary Learning = a type of machine learning where many instances of randomly changed AI models (called a ‘generation’) are run simultaneously, and the most effective is/are used as a baseline for the next ‘generation’
• Neural Network = a type of machine learning system which utilizes very simple nodes called ‘neurons’ for processing. These are often used for image processing, LMs, and OCR.
• Convolution Neural Network (CNN) = a Neural network which has an architecture of neuron ‘fliters’ layered over each other for powerful data processing capabilities.

This is not exhaustive but hopefully will help in talking about this topic in a more definite and nuanced fashion. Here is also a document related the different types of neural networks

No

g!!