#missing this era

[annoyingflowerwitch]

Me finding it out that this is the first look of ons 👀

[dima-lfc]

[shigeoreum]

if i had a nickle for every alien x human pairing that explores unexplainable loneliness and a connection and oneness between the two i’d have two. which isnt a lot but its weird that it happened twice.

[dangeroustaintedflawed]

[mobpsycho100]

[anna-scribbles]

resolutions

[mio-the-clown]

It’s evil and I need 10 of them

[crashinghipsnhearts]

Whoever suggested the LASIK can go choke.

[sunlight-shunlight]

anyway dai solas you will always be famous to me. nothing but respect for my boy who wandered off mid-cutscene in the hinterlands to go help out refugees, is extremely good at Lies Of Omission™️, has a whole spy/agent/informant network of elves who followed him, fervently argues that it's unethical to be happy about killing bandits bc they had lives and loved ones, describes his own temple(?) prison(?) as having "indecipherable" elven writing, has ferocious debates with dorian and iron bull about slavery, set himself on fire once by mistake, and within about a year of his 10000 year lifespan, went from seeing all the world as disposable emotionless husks, to developing actual friendships and even falling in love.

and then! still thought it was necessary to destroy and reset the world! but he would treasure the chance to be wrong again!!

[canarywatcher]

Forcefully ripping off that red bat symbol of Jason's chest and handing him loaded and lethal guns like I'm sending him off to school or something

[failedmitosis]

this happened in season one. right.

(very very old art so the styles a little bit wonky but fuck it we ball)

(++ bonus doodles from twt!!)

[stillgotscars]

thinking about taylor opening the eras tour, her first tour in 5 years, with the lyric below still makes me highly emotional. taking that specific lyric and making it about her relationship with us, the fans, is one of the sweetest things she’s ever done.

[oliviarosedorothy]

pink lover bodysuit 💘

4/5 miniature sequin & beaded bodysuits complete (!)

[poorly-drawn-mdzs]

Never underestimate the healing power of a good meal!

(For @nibbelraz!)

[imaginary-rings]

MISS AMERICANA & THE HEARTBREAK PRINCE Taylor Swift — The Eras Tour

[aiweirdness]

They trained an AI model on a widely used knee osteoarthritis dataset to see if it would be able to make nonsensical predictions - whether the patient ate refried beans, or drank beer. It did, in part by somehow figuring out where the x-ray was taken.

The authors point out that AI models base their predictions on sneaky shortcut effects all the time; they're just easier to identify when the conclusions (beer drinking) are clearly spurious.

Algorithmic shortcutting is tough to avoid. Sometimes it's based on something easy to identify - like rulers in images of skin cancer, or sicker patients getting their chest x-rays while lying down.

But as they found here, often it's a subtle mix of non-obvious correlations. They eliminated as many differences between x-ray machines at different sites as they could find, and the model could still tell where the x-ray was taken - and whether the patient drank beer.

AI models are not approaching the problem like a human scientist would - they'll latch onto all sorts of unintended information in an effort to make their predictions.

This is one reason AI models often end up amplifying the racism and gender discrimination in their training data.

When I wrote a book on AI in 2019, it focused on AIs making sneaky shortcuts.

Aside from the vintage generative text (Pumpkin Trash Break ice cream, anyone?), the algorithmic shortcutting is still completely recognizable today.