Aquiles

25, fagdog werewolf lover tenko shimura apologist terfs fuck right off <3 // he/him, they/it, zie/zir/zis

[deadartistwalking]

My beloved Saw miis

[reactionimagesdaily]

[bruzum]

[lastvalyrian]

This is literally what people are talking about when they say AI will be used to mainstream widely held bigotry. LLMs are trained on frequency and probability -> straight relationships are more well represented in the dataset -> straight pronouns and terms become the "correct" normal.

This is a form of backdoor bigotry from both normative facts (there are more straight than gay relationships) and well represented bigoted beliefs (men are superior to women).

Combine this with the mass of people inclined to believe (and being encouraged to believe) that if AI says and does something it must be correct

[ot3]

the misogyny baked into LLMs is really quite horrific, we ran headfirst into this when trying to test out AI features at my job in early 2024. I work for a dating service and long story short there was a brief window when we were testing the capacity of an LLM to use the information on people's profiles to find matches for them and generate a brief bio that could be sent to the other person.

the problem that cropped up over and over and over again was that essentially all of these bios presented the women as looking for a heterosexual marriage with children regardless of any information on the profile that actively contradicted any of those things. even as the model got better and more streamlined at everything else, this persisted.

the features/pipeline we were testing out there i believe have been scrapped and the original idea is operating under a new name, but my team handles different stuff now. so i have no idea how the backend is being handled and if there's any AI in the pipeline, but i wouldn't be surprised if it was and this was still an issue.

[bruzum]

[lastvalyrian]

This is literally what people are talking about when they say AI will be used to mainstream widely held bigotry. LLMs are trained on frequency and probability -> straight relationships are more well represented in the dataset -> straight pronouns and terms become the "correct" normal.

This is a form of backdoor bigotry from both normative facts (there are more straight than gay relationships) and well represented bigoted beliefs (men are superior to women).

Combine this with the mass of people inclined to believe (and being encouraged to believe) that if AI says and does something it must be correct

[ot3]

the misogyny baked into LLMs is really quite horrific, we ran headfirst into this when trying to test out AI features at my job in early 2024. I work for a dating service and long story short there was a brief window when we were testing the capacity of an LLM to use the information on people's profiles to find matches for them and generate a brief bio that could be sent to the other person.

the problem that cropped up over and over and over again was that essentially all of these bios presented the women as looking for a heterosexual marriage with children regardless of any information on the profile that actively contradicted any of those things. even as the model got better and more streamlined at everything else, this persisted.

the features/pipeline we were testing out there i believe have been scrapped and the original idea is operating under a new name, but my team handles different stuff now. so i have no idea how the backend is being handled and if there's any AI in the pipeline, but i wouldn't be surprised if it was and this was still an issue.

[bruzum]

[lastvalyrian]

This is literally what people are talking about when they say AI will be used to mainstream widely held bigotry. LLMs are trained on frequency and probability -> straight relationships are more well represented in the dataset -> straight pronouns and terms become the "correct" normal.

This is a form of backdoor bigotry from both normative facts (there are more straight than gay relationships) and well represented bigoted beliefs (men are superior to women).

Combine this with the mass of people inclined to believe (and being encouraged to believe) that if AI says and does something it must be correct

[ot3]

the misogyny baked into LLMs is really quite horrific, we ran headfirst into this when trying to test out AI features at my job in early 2024. I work for a dating service and long story short there was a brief window when we were testing the capacity of an LLM to use the information on people's profiles to find matches for them and generate a brief bio that could be sent to the other person.

the problem that cropped up over and over and over again was that essentially all of these bios presented the women as looking for a heterosexual marriage with children regardless of any information on the profile that actively contradicted any of those things. even as the model got better and more streamlined at everything else, this persisted.

the features/pipeline we were testing out there i believe have been scrapped and the original idea is operating under a new name, but my team handles different stuff now. so i have no idea how the backend is being handled and if there's any AI in the pipeline, but i wouldn't be surprised if it was and this was still an issue.

[stemmmm]

fanart for lentic by @herenortherenearnorfar !!!!!

fic of all time of all time. in fact one of my favorite pieces of writing i've ever read in general! this axolotl can do it big and small style

[straightboyfriend]

mike’s hard bubble tea

[emeraldfoxface]

It’s just marbles

[the-quasar-hero]

I yet have to see any proof that this so-called “sex” is real and does in fact exist in our world to any tangible degree; and yet the stork exists and we can clearly observe it.

[barely-an-artist]

Sex was invented by big trojan to sell more condoms

[the-quasar-hero]

And here I thought big Trojan was just a wooden horse

[lady-lazarus-13]

Exactly. No one expects the big wooden horse to be full of condoms. That's how they get you.

[the-quasar-hero]

Get me to what?

[thebizza]

Sex, obviously.

[yuppiesnpuppies]

How it feels

[kosmogrl]

"whats your 5 year plan?" buddy I nearly go insane thinking about what I should have for dinner

[syrenki]

i secretly want a little bit more of everything all the time

[octoberended]

Interspace

[introvertnationclub]

Why Introverts Feel Drained Around the Wrong People But Energized Around the Right Ones

Some people leave you feeling tired. Others make you forget you were ever tired in the first place.

If you’re introverted, you’ve probably felt this before. You might even start to wonder if you’re bad at socializing, or why your energy feels so all over the place.

But what if it’s not about how social you are, but who you’re social with?

It’s not about how much energy you have

People often think that introverts have less social energy and get drained easily no matter who they’re with.

But that’s not entirely true.

Introverts can spend hours talking, laughing, and being fully present when they’re with the right people. Time passes quickly. Conversations feel natural, and you leave feeling full, not empty.

So what’s actually different when introverts are around the right people?

It comes down to how much mental and emotional effort your brain has to put into the interaction.

The hidden cost of being around the wrong people

Not “wrong” as in bad people, just not your people.

When you’re around someone who doesn’t really feel aligned with you, your brain just goes into overdrive.

You might notice yourself:

Thinking carefully before you speak 

Replaying what you just said to see if it sounded okay 

Forcing reactions so you don’t seem too quiet 

Trying to match their energy, humour, or pace 

Filling silences that feel uncomfortable 

.

.

Full Article

[fanonical]

i know i'm a few days late on this, but rip anthony head. seeing you be a weird bat alien in doctor who legitimately scrambled my brain chemistry and i will always be grateful for it

[probablymarin]

Sonic Racing CrossWorlds X Evangelion collab announced

[wewentcarracing]

blocking op for a post i let my mutual get away with reblogging ❤️ nepotism

[formlab]

Denon D-C7USB, 2005