almost home
Keni
Love Begins
2025 on Tumblr: Trends That Defined the Year
tannertan36
i don't do bad sauce passes
taylor price
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roma★
Janaina Medeiros
I'd rather be in outer space 🛸
let's talk about Bridgerton tea, my ask is open
noise dept.
No title available
DEAR READER
sheepfilms
Alisa U Zemlji Chuda
Jules of Nature
★
PUT YOUR BEARD IN MY MOUTH
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@remixingoverwatch
oh to be the innkeeper's daughter in a backwater village, falling in love with the mysterious and quiet new worker who speaks to animals with such heart and connection I've never seen yet refuses to sleep inside in a warm bed, only to to find out he's been an honored spirit of the wilds this whole time as I help him to escape from the magic hungry men hunting him down, but then he flees into the night and never crosses my path again
shoutout to lou wilson for not making a peep through almost 48 minutes but being the funniest person in the room by jumping in just to add
"Brennan, don't do it. Don't make the familiar a butthole."
I got carried away.
Don't mind me, just thinking about Mr. Soup and the little Suvi. "Soup" fitting into the wizard naming conventions. Little Suvi seeing this happy little spirit with a bowl and giving him a name that perhaps reminded her of home. Ame hearing it and accepting it as a fact, maybe even forgetting it was Suvi from whom the name came from. And of course, the spirit himself, the old guardian hearing this little girl calling him a name that smelt of rules and tall spires and deserts and magic bound and shaped and used to exact specification, but also of homesickness of love of parent's embrace. And instead of recoiling and shunning the title, accepting it as one of his own. "I am known by many names. And one of them is Mr. Soup." Because who would he be to refuse a gift so earnestly given?
I guess that’s one way to do it. 😆
This guy is living in 2118
“I throw my hands up in the air sometimes,
singing ‘Ayo…’
DESPACITO…”
y'know what, fuck you in particular
That’s fair
some iconic dialogue that sounds like its from the great canon of literature but are actually from memes
I will face God and walk backwards into Hell
“I’ll do whatever you want” “then perish”
I have been through hell and come out singing
feel free to add more!
There are no gods here
Do I look like the kind of man who dies
God’s dead and soon we will be too
I thought there were no heroes left in this world
• you kneel before my throne unaware that it was built on lies
Impudent of you to assume I will meet a mortal end
This is hell’s territory and I am beholden to no gods
Bury me shallow, I’ll be back
- take this gift, for the gods surely won’t
God wishes he were me
One day, you will be face to face with whatever saw fit to let you exist in the universe, and you will have to justify the space you’ve filled
Violence for Violence is the Rule of Beasts
sometimes ango can be a lil hard on himself during magic lessons
that shit don’t fly
Where was Bucky Barnes during the whole Eric taking over Wakanda? Like was he just guarding the goats?
Erik: I’ve killed your king and now we’re gonna get revenge on the white people!
Bucky, a white who was snuck into the country completely illegally:
One weird and specific thread that I’ve seen flow through a wide variety of tumblr conversations is that you people have no fucking idea what women in our 30s are like: you don’t know what we do for fun, you have no idea what we look like, our media interests puzzle and frighten you and the whole vibe is that every time you find out a woman is over, say 33, you gasp that a wizened hag has again managed to slip in among you. Surely she must be a secret immortal or a terrifying ghoul.
Things a 30 something woman can do that are suspicious according to tumblr:
Enjoy hip youthful things like currently popular bands, movies, cw tv shows, etc
Enjoy things from her own youth, e.g., Harry Potter, Sailor Moon
Enjoy square adult hobbies like pintrest crafts and candle collecting
Enjoy odd adult hobbies like doll or dollhouse collecting
Have the body of a woman who has given birth to children, or the face of a woman who spent her youth in the sun
Have the body of a woman who does yoga and the face of a woman who wears sunscreen and has good genes.
Talk about her pets, especially if she has no kids
Talk about her kids
And once you get over 40, you become a cryptid.
I can be a cryptid now??? Amazing
How to Backup your Tumblr
I was just semi-complaining that I was still looking for a decent way to backup my +4k posts without having to use paid services or even just wordpress (which has an import from tumblr tool that asks for permission to access your blog and also make posts), when I decided to actually put some effort into my google search.
Results were positive: I have successfully backed up my blog*
*By which I mean: everything that I have ever posted. Not included: drafts, queue, likes, followers, following, comments, notes, chat.
I followed this method (word by word), and now have a 450 MB folder on my computer with the name of my blog on it containing:
1. Folder “Archive” (contains .html files listed by month) 2. Folder “Media” (contains gifs and images, mine has +1k files in it; might contain also audios but I have no way of confirming that because I’ve never reblogged an audio post from this blog) 3. Folder “Posts” (contains single .html files, each one a post; I have +4k files in it) 4. Folder “Theme” (contains only my avatar, but it might be a matter of if you have personalized themes or not) 5. .html file “Index” (by opening it it will give you the archive of your blog organized by month; clicking on a month will open up the archive for that month, and you’ll be able to read all the posts for that month as if you were on your blog**, except sans your theme graphic, with each page containing 50 posts)
**I can see gifs, links, embedded videos, tags, number of notes (but I can’t open up the notes, clearly), text is also correctly formatted.
So yeah, in case anyone wants a very quick way to back up their blog, it took me less than 10 minutes.
P.S. I didn’t have any issue, but to be on the safe side always check for spyware and virus threats before and after downloading anything.
HAROLD: “Even I know what’s going on here.”
The Visual Chatbot
There is a delightful algorithm called Visual Chatbot that will answer questions about any image it sees. It’s a demo by a team of academic researchers that goes along with a recent machine learning research paper (and a challenge for anyone who’d like to improve on it), and its performance is pretty state-of-the-art, meant to demonstrate image recognition, language comprehension, and spatial awareness.
However, there are a couple of interesting things to note about this algorithm.
It was trained on a large but very specific set of images.
It is not prepared for images that aren’t like the images it saw in training.
When confused, it tends not to admit it.
Now, Visual Chatbot was indeed trained on a huge variety of images. It can answer fairly involved questions about a lot of different things, and that’s impressive. The problem is that humans are very weird, and there are still many things it’s never seen. (This turns out to be a major challenge for self-driving cars.) And given Visual Chatbot’s tendency to react to confusion by digging itself a deeper hole, this can lead to some pretty surreal interactions.
Another thing about Visual Chatbot is that most of the images it’s been trained on have something in them - a bird, a person, an animal. It may have never seen an image of just rocks, or a plain stick lying on dirt. So even if there isn’t an animal there, it will be convinced there is. This means this bot always thinks it’s on the best safari ever. (For the record, it thought the stick lying on dirt was “a bird is standing on a rock in the snow”)
If you ask it enough questions, could you get an idea of how it made its mistakes?
An algorithm that can explain itself is really useful. Algorithms make mistakes all the time, or accidentally learn the wrong thing. This particular algorithm didn’t have trouble with hallucinating sheep like some other algorithms I tested. But it did have similar problems with goats in trees, and now I finally got to ask why.
[Goat image: Fred Dunn]
Upon further questioning, however, it also decided that dogs also have horns, and birds do not fly. Actually, it turns out that a lot depends on how you ask the question. The answer to “do bunnies fly?” is “no”, but the answer to “can bunnies fly?” is “yes”, so either the algorithm is answering a lot of these questions at random, or bunnies *can* fly but choose not to. (The construction “Do <blank> have <blank>?” seems to almost always result in a “yes”, so I can report that yes, bunnies do have spaceships and lightsabers.)
So I wouldn’t necessarily believe Visual Chatbot’s answer to my question about the zoo rocks thing. In fact, it seems to have learned to give explanations that are total lies - if it doesn’t know the color of something, it’ll answer “it’s a black and white photo so i can’t tell” without realizing that this excuse only works on an actual black and white photo.
It’s too bad this is so tricky. Since algorithms can often be biased, it would be great if we could ask them “Why did you show me that ad?” or “Why did you decline my application?”. But getting a sensible answer from them may not be all that straightforward, especially if they pretend they know more than they actually do.
Bonus material: Visual Chatbot explains the plot of The Last Jedi. Enter your email and be edified (contains spoilers - sort of.)
Bunnies have warp drive technology! Who knew?!
In case anyone is still following this blog, sorry about the recent off-topic posts. I didn't realize I was reblogging to the wrong account.
Aesthetic
EXPERIENCE TRANQGRILLITY
I think the problem with a lot of ostensibly “hardcore” video games is that both their fanbases and their developers think having a high skill floor is the same thing as having a high skill ceiling.
@neverwinterpinata replied:
I’m not sure I understand. Do you mind explaining the difference?
In the jargon of game design, the “skill ceiling” is the point beyond which further improvements in player skill start to yield diminishing returns; there’s only so good you can get before it just stops making a difference, and that point varies from game to game. A game’s skill ceiling is said to be low when you can quickly explore everything it has to offer, and high when there’s ample room for long-term improvement.
The “skill floor”, conversely, is the minimum level of player skill that’s required to meaningfully participate in the game at all. All interactive media has to make certain assumptions about the player’s ability to engage with it, so in practice every game has a skill floor. A game’s skill floor is said to be low when the game is approachable enough that you can pick up the necessary skills as you go, and high when only prior experience with other, similar games will do.
As an illustrative example, consider Super Mario Odyssey. By most measures it has a fairly low skill floor; some prior experience with 3D platformers will certainly help you get into it, but just about anybody can muddle through and pick up a few power moons. On the flip side, Super Mario Odyssey’s skill ceiling is quite high; if you really know what you’re doing, you can complete the game in an hour flat - you can look up some speed-running videos on YouTube to see how that works in practice.
The problem with confusing the two is that a game having a high skill floor doesn’t necessarily guarantee that it has a correspondingly high skill ceiling. It’s entirely possible to design a game where once you’ve gotten over that initial steep learning curve, that’s all there is to it - there’s nothing more to be learned. A lot of games that cater to the “hardcore” crowd fall into this trap; they’re tough to get into, often to the point that they’re accessible only to folks with extensive prior experience with other games in the genre, but once you are in there’s just not all that much to them.
