I’ve Probably Said This Before But Having Every Good And Service Turn Into A Subscription Model Is

pig,,

Your goth icon has arrived

My glorious reference ^^^

Also I’m taking doodle requests so request anything hermitcraft/ life series related and I might draw it

what is HAPPENING

I’m sure someone somewhere has made this joke already, but this has been in my head for ages begging to be drawn, so.

(yes, NHS is the one asking.)

the most annoying people are people who don't understand storytelling. they be like "oooo how convenient that this thing happened to the main character in the very beginning". yeah no shit. that's why the story begins here

Can i say something problematique for terminally online millenials and people born after that point: I think the seeming lack of ability or willingness to call one another and chat on the phone with friends unprompted or out of the blue contributes to whatever hellish loneliness everyone is talking about feeling these days. Say what you want about boomers and old people but those guys mostly knew how to keep in touch with each other. Idk man call a bitch today

i need the clip here actually

transcript:

Gem, moving Scar and Grian's heads around in REPO: [giggle] We could- we could play with them, like they're dolls. They should get married. Or fight it out. Somewhere.

They could get married. Scar's got like a tiara on. It's perfect. [moves Grian to a corner] We'll put him there, [grabs Scar] and then he can walk down the aisle. [starts humming wedding march as she pushes them together]

Skizz: Who's getting married?

Impulse: Who's get- Aww!

Gem: These two, look!

Skizz: Awwww!

Impulse: How cute! Can I be the best man?

[Skizz continues humming wedding march]

Gem: Grian, you may now kiss the bride.

Impulse: I'm Grian's- I'm Grian's best man.

[Gem picks up Grian, pushes him against Scar and makes kissy noises repeatedly]

Impulse: Skizz, you be the maid of honor.

Skizz: I'll be... I'll be, I'll be- WOW! I'm Scar's best man.

Impulse: That works too.

Gem: How many times is it too many times to kiss at a wedding?

Skizz: You know what? It's their day.

Impulse: Like-

Skizz: You let it ride.

Impulse: Yeah. Yeah.

Skizz: I want it- I want it to get so crazy that people in the audience are like "we should maybe leave"

Impulse: Yeah it needs to get uncomfortable

Poured so many hours into this ahh piece that its almost embarrassing. Nevertheless… hail Drarry y’all

Part 1 b/c 10 photo make is not enough:

A few binds I made for my love @kushyreads

Who We Are in the Shadows by the talented @quicksilvermaid featuring art by yours truly which took me a whopping 16 HOURS!!!

Balance, Imperfect & That Old Black Magic by the amazing @bixgirl1

I’m literally obsessed with these fics and drarry and poured all my love into them

ed zitron, a tech beat reporter, wrote an article about a recent paper that came out from goldman-sachs calling AI, in nicer terms, a grift. it is a really interesting article; hearing criticism from people who are not ignorant of the tech and have no reason to mince words is refreshing. it also brings up points and asks the right questions:

if AI is going to be a trillion dollar investment, what trillion dollar problem is it solving?

what does it mean when people say that AI will "get better"? what does that look like and how would it even be achieved? the article makes a point to debunk talking points about how all tech is misunderstood at first by pointing out that the tech it gets compared to the most, the internet and smartphones, were both created over the course of decades with roadmaps and clear goals. AI does not have this.

the american power grid straight up cannot handle the load required to run AI because it has not been meaningfully developed in decades. how are they going to overcome this hurdle (they aren't)?

people who are losing their jobs to this tech aren't being "replaced". they're just getting a taste of how little their managers care about their craft and how little they think of their consumer base. ai is not capable of replacing humans and there's no indication they ever will because...

all of these models use the same training data so now they're all giving the same wrong answers in the same voice. without massive and i mean EXPONENTIALLY MASSIVE troves of data to work with, they are pretty much as a standstill for any innovation they're imagining in their heads