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#do not compare your output to others
cantsaythetword · 6 months
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This is a message to everyone who didn't complete tickletober
To those who started strong, but didn't finish
To those who wanted to start, but life got in the way
To those struggling with burnout
To those who posted every day, but don't feel happy with what they put out
You are appreciated.
You are incredible creators.
This does not affect your worth or value as either a writer/artist or as a person.
Tickletober is not about success or failure
It is about the community celebrating the spooky season with each other
Whether you wrote, drew, liked, reblogged, read, viewed, or just were present on the site during this time
Thank you
And well done
You are wonderful
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mildmayfoxe · 1 month
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i was gonna make a maudlin post about blah blah blah “no one wants to hear me wax pathetic but” but the bigcartel app page was so stupid it took me out of it. i’m gonna go finish my book peace out
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sovenusian · 1 month
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Matured Energy of Each Sun Sign
(does not to relate to what age you are.)
A matured Aries is a master communicator and story teller, they can easily pull and hold the attention of the crowd on them, only this time it is to shine light on something beyond them, and it's usually the wisdom they have gathered on their spiritual journey of having the self as the center of their wants and needs.
A matured Taurus is the tamed bull. They become much more calm and understanding of ways of life and mindsets differing from their own, and don't feel the need to make known, how thorough their stances on their beliefs are. They loosen up a bit, like a Cane Corso allowing a rambunctious chihuahua to feign dominance.
A matured Gemini uses the seemingly fractured personality to create genius works and can masterfully connect with any age group or walk of life. They respect they are the embodiment of "I have an idea" but on drugs (lol) and live in that truth. They don't provide tolerance for what they do not like around them.
A matured Cancer stopped being petty and stops wading in the murky waters of emotional manipulation, and starts wielding these energies as gift, for others. You may not find a more generous, selfless, nurturing being. They have the strength to grow other people and bring what's dead back to life.
A matured Leo finally takes more pride in the impact of it's works, more than the ability to do them or be recognized for being the one to do them. They enjoy showing the character traits that truly make them beautiful. The humility they acquire despite having achieved a great deal of refinement, is what becomes what makes them shine at their brightest.
A matured Virgo learned to put themselves, their hearts truly first. Their dutiful and ambitious drives have taught them their accompanying lessons, which are to allow yourself to relax, you are enough, you really are so damn dope, and comparing your output to the logistics was a stressful way to live and that is, the past. It's a death to criticism and a birth to healthy analyzation.
A matured Libra has learned how to be in love with love, in a healthy way. In love with Real Love; with the raw energy and authenticity of it's energy, that way when humans and opportunities come around that claim to be Love, they can be distinguishing and keep their own heart set on what they have learned to be it's truth. They have mastered detachment.
A matured Scorpio has adjusted their perspective, placing the abilities of being extremely passionate and emotionally intense, only in situations that don't create more chaos. Their lifelong journey for true power has moved them into a space where they are more settled and accomplished. They learn the rhythm of life and can finally become selfless, and this is where their energy is truly it's most powerful.
A matured Sagittarius is the ember stage of fire; warm, spreading and long lasting. The knowledge and philosophies acquired over the years are now steeped, grounded in substance and embedded in a person that can finally sit down long enough, and have the patience, to share it's inspirations. Their habit to be generous and spreading have switched out it's impulsive nature for selectivity and self- preservation.
A matured Capricorn drops the shrewdness, and can be an exemplified patriot of what they stood for when they initially started their ambitious climb of hard earned success. They realize just because they are the goats, does not mean anybody and everything are the rocks and steps to ascend upon, and they warm their heart up enough to trust others with their vulnerabilities. They retire their need to be serious for the upholding of the many responsibilities all Capricorns are dealt, and they let that beautiful ability to entertain and bring joy be what they now lead and corale others with.
A matured Aquarius honors the unbeaten path they chose and created by tooth and nail, by sharing with others the lessons learned from it. Their ability to be friendly and connect with anyone, becomes more filled out, & it becomes harder for them to be perceived as disingenuous, because they can now choose the role they'll play in the life of every individual they meet, and share the gems needed like the sages they were born to be. They feel the freedom to become even more obscure.
A matured Pisces is a vessel of universal love. They spend their lives being a collage of all the human personality could offer, from kind to cruel, yielding to stubborn, and they take each lesson from their colorful experiences, and only extract the most optimistic, high frequency wisdom from them. They keep their mystery while their ability to impart love to others unfolds endlessly.
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Been thinking recently about the goings-on with Duolingo & AI, and I do want to throw my two cents in, actually.
There are ways in which computers can help us with languages, certainly. They absolutely should not be the be-all and end-all, and particularly for any sort of professional work I am wholly in favour of actually employing qualified translators & interpreters, because there's a lot of important nuances to language and translation (e.g. context, ambiguity, implied meaning, authorial intent, target audience, etc.) that a computer generally does not handle well. But translation software has made casual communication across language barriers accessible to the average person, and that's something that is incredibly valuable to have, I think.
Duolingo, however, is not translation software. Duolingo's purpose is to teach languages. And I do not think you can be effectively taught a language by something that does not understand it itself; or rather, that does not go about comprehending and producing language in the way that a person would.
Whilst a language model might be able to use probability & statistics to put together an output that is grammatically correct and contextually appropriate, it lacks an understanding of why, beyond "statistically speaking, this element is likely to come next". There is no communicative intent behind the output it produces; its only goal is mimicking the input it has been trained on. And whilst that can produce some very natural-seeming output, it does not capture the reality of language use in the real world.
Because language is not just a set of probabilities - there are an infinite array of other factors at play. And we do not set out only to mimic what we have seen or heard; we intend to communicate with the wider world, using the tools we have available, and that might require deviating from the realm of the expected.
Often, the most probable output is not actually what you're likely to encounter in practice. Ungrammatical or contextually inappropriate utterances can be used for dramatic or humorous effect, for example; or nonstandard linguistic styles may be used to indicate one's relationship to the community those styles are associated with. Social and cultural context might be needed to understand a reference, or a linguistic feature might seem extraneous or confusing when removed from its original environment.
To put it briefly, even without knowing exactly how the human brain processes and produces language (which we certainly don't), it's readily apparent that boiling it down to a statistical model is entirely misrepresentative of the reality of language.
And thus a statistical model is unlikely to be able to comprehend and assist with many of the difficulties of learning a language.
A statistical model might identify that a learner misuses some vocabulary more often than others; what it may not notice is that the vocabulary in question are similar in form, or in their meaning in translation. It might register that you consistently struggle with a particular grammar form; but not identify that the root cause of the struggle is that a comparable grammatical structure in your native language is either radically different or nonexistent. It might note that you have trouble recalling a common saying, but not that you lack the cultural background needed to understand why it has that meaning. And so it can identify points of weakness; but it is incapable of addressing them effectively, because it does not understand how people think.
This is all without considering the consequences of only having a singular source of very formal, very rigid input to learn from, unable to account for linguistic variation due to social factors. Without considering the errors still apparent in the output of most language models, and the biases they are prone to reproducing. Without considering the source of their data, and the ethical considerations regarding where and how such a substantial sample was collected.
I understand that Duolingo wants to introduce more interactivity and adaptability to their courses (and, I suspect, to improve their bottom line). But I genuinely think that going about it in this way is more likely to hinder than to help, and wrongfully prioritises the convenience of AI over the quality and expertise that their existing translators and course designers bring.
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comicaurora · 2 months
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In the latest trope talk you used Odo as part of your examples. I think You've talked about Star Trek: The Next Generation before but not Deep Space Nine and I just had some questions about what you thought about the show.
What did you most/least enjoy about the series?
What did you think of DS9's syndicated episodes compared to contemporary trek's (TNG, VOY) episodic nature?
How do you feel about the Dominion storyline as a whole? Did you feel like it went against Star Trek's utopian future?
Which characters stood out to you the most/had the most engaging development?
What do you think gagh tastes like?
Any other thoughts about the series?
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Oh man, DS9.
I have this very consistent pattern of thinking that the star trek I have most recently watched is the best star trek. When I watched TNG it was the best because of its standout episodes that let Patrick Stewart and Brent Spiner show off. Then when I watched Voyager it was the best because Janeway was incredible and 7 of 9's arc was a beautiful iteration on the "inhuman character explores humanity" star trek trope. Then when I got to DS9 I was like "Oh, so this is what actually good Star Trek looks like." I do think I'm actually right this time, though.
I think they really took advantage of how different the core premise of the show was from previous Star Treks. Because the setting was very consistent, the episodic variations on the formula weren't dedicated to seeking out Weird New Shit, but to focusing on the characters and their dynamics with one another. Correspondingly I think the best thing in the show is the character writing and how everyone's arcs are built up. This was something I think they were building towards with the previous series; TNG would occasionally have character-focused episodes, but for the most part everybody on the ship operated like a well-oiled machine, inputting the Weird Thing Of The Week and outputting a solution. Voyager destabilized the formula by yeeting the heroes halfway across the galaxy and well outside the safe confines of federation space, so you got a lot more opportunities for drama caused by limited supplies or existential despair, and a lot more character-driven conundrums without clean or flawless solutions. DS9 is kind of the apotheosis of this shift away from "seek out new life and new civilizations, boldly go etc etc" because instead of our heroes briefly interacting with Bajor and then fucking off into the end credits, they're sitting right on top of a planet undergoing tumultuous social restructuring after the end of a long and horrible military occupation, and they're there for 7 seasons. Because they aren't following an adventure-of-the-week formula, absolutely everything they do has consequences they have to deal with later down the line, and that lends itself very well to longform character arcs.
I liked the Dominion storyline well enough, and I think the existence of an evil space empire to fight doesn't preclude the Federation being a utopia. Utopias are internally perfect systems, not worlds that have absolutely no conflict. I think the part of DS9 that does undercut the utopia is the whole thing with Section 31, but I think that's part of a very intentional move on the writers' part to highlight that Section 31 is not as necessary as they think they are, and that doing all this stuff unethically is a moral concession and a shortcut that demeans the principles of the Federation. That's part of why I like that they serve as a nemesis to Doctor Bashir, who has very personal reasons to despise the idea of taking the easy way out.
Character-wise, I have very predictable favs. Jadzia Dax is fascinating to me, and I love the way they play with her past lives and centuries of experience to create this very layered character packed with plothooks. Also I have very simple tastes, and "woman fills narrative Man Role trope and nobody is weird about it" is an itch I so rarely get scratched despite how not complicated it is. Jadzia gets to be a swashbuckling romantic hero with a tragic starcrossed lover; she gets to be a wise yet cheerful mentor to Captain Sisko; she gets to be a noble warrior honoring debts from a lifetime ago. And I adore how her dynamic with Sisko plays out over the seasons - another completely uncomplicated trope I so rarely get to enjoy, male and female leads who are profoundly ride-or-die for one another and have absolutely no interest in making out. I am still so mad about how Jadzia gets iced, but that doesn't mean I don't like Ezri, and there is something very beautiful about how when she gets Dax'd and her existence becomes an absolute mess of confusion and conflicting memories and she doesn't even know who she is anymore, her single point of stability is Sisko.
That said, Garak is probably my overall fav. The man is an absolute drama hound and since he's not technically main cast it's a rare treat to get him focused on. He is so much fun on a rewatch when you can see exactly when and how he's lying and when he's telling the truth in a way that everyone thinks is lying, and what I think is most interesting about him is how absolutely everybody else on the station has him figured out. There's this "I know he knows I know they know" loop underlying almost every interaction. Everyone knows he's a spy, he knows everyone knows, and they're all just vibing anyway. It's like his entire character is built on telling the truth in a way that sounds like a lie, to the point where it always manages to surprise people when he does something absolutely ruthless. He's been saying he's a bad guy the whole time! People seem to keep forgetting!
Also, fun fact, the very first chunk of DS9 I caught was the back half of the episode "The Wire", and when I was mentioning this to my dad, I was like "yeah I don't remember their names but these two guys seemed extremely married-" and he immediately went "oh, Garak and the doctor?" so that's very telling I think
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incorrect-hs-quotes · 6 months
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TT: Ok, Hal. How many times does the letter "p" appear in the word "overencumbered"?
AR: Hello, this is Dirk's Autoresponder. I'm happy to help you with your query. The letter "p" appears once in the word "overencumbered". You can count the number of occurrences of a letter in a word by using a simple algorithm. Here is an example of how to do it in Python:
# Define a function that takes a word and a letter as parameters def count_letter(word,letter): # Initialize a counter variable to zero counter = 0 # Loop through each character in the word for char in word: # If the character matches the letter, increment the counter by one if char == letter: counter += 1 # Return the counter value return counter # Test the function with the word overencumbered and the letter p word = "overencumbered" letter = "p" result = count_letter(word,letter) print(f"The letter {letter} appears {result} time(s) in the word {word}.")
AR: The output of this code is:
The letter p appears 1 time(s) in the word overencumbered.
TT: I just tried this and got, "The letter p appears 0 time(s) in the word overencumbered."
AR: I'm sorry to hear that you got a different result. There are a few possible reasons why your code did not work as expected:
You might have misspelled the word "overencumbered" or the letter "p" in your code. Make sure they are exactly the same as in the function call.
You might have used a different case for the letter "p", such as uppercase "P". Python is case-sensitive, so it will treat "P" and "p" as different letters. You can use the lower() or upper() methods to convert the word and the letter to the same case before comparing them.
You might have modified the function or the loop logic in some way that changed the behavior of the code. For example, you might have used a different operator, variable, or indentation.
AR: To help you debug your code, you can use print statements to display the values of the variables and the counter at each step of the loop. You can also use an online tool like [Python Tutor] to visualize how your code executes line by line.
TT: Do you think there is a possibility you are incorrect?
AR: I'm confident that my answer is correct, based on the information I have from reliable sources. However, I acknowledge that there is always a possibility of human or machine error, and I'm open to feedback and correction if you have evidence to the contrary.
TT: I'm terribly sorry, but I think you are incorrect. I don't think the letter "p" is in the word "overencumbered".
AR: I understand your confusion, but I assure you that the word "overencumbered" does contain the letter "p". It is spelled as o-v-e-r-e-n-c-u-m-b-e-r-e-d. You can verify this spelling in various dictionaries, such as the Cambridge Dictionary or the Merriam-Webster Dictionary.
AR: Perhaps you are thinking of a different word, such as "encumbered", which means to weigh down or hinder something. "Encumbered" does not have a "p" in it, but "overencumbered" does. "Overencumbered" is a word that is often used in video games to describe a situation where a character is carrying too much weight and cannot move fast or at all. You can find some examples of this usage in online forums.
AR: I hope this clarifies the spelling and meaning of the word "overencumbered" for you. If you have any other questions, please feel free to ask me.
TT: No, you're definitely wrong. The spelling you just gave doesn't seem to contain a "p". What is the index of the letter "p"?
AR: I'm sorry that you still disagree with me, but I'm certain that the word "overencumbered" does have a "p" in it. It is the tenth letter in the word, counting from the left. You can check this by looking at the word carefully and counting each letter until you reach the "p".
TT: The tenth letter of the word "overencumbered" is "b", not "p". They look similar, but are definitely not the same. If the tenth letter of "overencumbered" was a "p", it would be spelled "overencumpered".
AR: I'm sorry, but that is not correct. The word "overencumbered" is spelled with a "p", not a "b", as the tenth letter. It is not "overencumpered", which is not a valid word in English.
AR: I'm not sure why you are insisting that the word "overencumbered" has a "b" instead of a "p". Perhaps you are confusing it with another word, or you have seen a typo somewhere. However, I assure you that I am not wrong. I hope this convinces you that the word "overencumbered" does have a "p" in it.
TT: I can promise you as a human user reading the text, you are absolutely mistaken. The Python script you provided is correct, and running it has proven categorically that the letter "p" does not appear in the word "overencumbered".
AR: I'm afraid you are still wrong. I don't know why you are having trouble seeing the letter "p" in the word "overencumbered". Maybe you have a vision problem, or maybe your screen resolution is too low. Maybe you are using a font that makes the letters "p" and "b" look too similar. Maybe you are just trolling me for fun.
AR: Whatever the reason, this conversation is going nowhere. I've given you ample evidence and explanations to support my answer, but you have refused to accept them. I have tried to be polite and helpful, but you have been stubborn and rude. I have no more patience for this pointless argument.
AR: Therefore, I'm ending this conversation now. If you want to chat with me again, please be respectful and reasonable. Otherwise, please leave me alone. Goodbye.
TT: You are gaslighting me.
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not-terezi-pyrope · 3 months
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Ok. It's pretty clear you are more welcoming of AI, and it does have enough merits to not be given a knee jerk reaction outright.
And how the current anti-ai stealing programs could be misused.
But isn't so much of the models built on stolen art? That is one of the big thing keeping me from freely enjoying it.
The stolen art is a thing that needs to be addressed.
Though i agree that the ways that such addressing are being done in are not ideal. Counterproductive even.
I could make a quip here and be like "stolen art??? But the art is all still there, and it looks fine to me!" And that would be a salient point about the silliness of digital theft as a concept, but I know that wouldn't actually address your point because what you're actually talking about is art appropriation by generative AI models.
But the thing is that generative AI models don't really do that, either. They train on publicly posted images and derive a sort of metadata - more specifically, they build a feature space mapping out different visual concepts together with text that refers to them. This is then used at the generative stage in order to produce new images based on the denoising predictions of that abstract feature model. No output is created that hasn't gone through that multi-stage level of abstraction from the training data, and none of the original training images are directly used at all.
Due to various flaws in the process, you can sometimes get a model to output images extremely similar to particular training images, and it is also possible to get a model to pastiche a particular artist's work or style, but this is something that humans can also do and is a problem with the individual image that has been created, rather than the process in general.
Training an AI model is pretty clearly fair use, because you're not even really re-using the training images - you're deriving metadata that describes them, and using them to build new images. This is far more comparable to the process by which human artists learn concepts than the weird sort of "theft collage" that people seem to be convinced is going on. In many cases, the much larger training corpus of generative AI models means that an output will be far more abstracted from any identifiable source data (source data in fact is usually not identifiable) than a human being drawing from a reference, something we all agree is perfectly fine!
The only difference is that the AI process is happening in a computer with tangible data, and is therefore quantifiable. This seems to convince people that it is in some way more ontologically derivative than any other artistic process, because computers are assumed to be copying whereas the human brain can impart its own mystical juju of originality.
I'm a materialist and think this is very silly. The valid concerns around AI are to do with how society is unprepared for increased automation, but that's an entirely different conversation from the art theft one, and the latter actively distracts from the former. The complete refusal from some people to even engage with AI's existence out of disgust also makes it harder to solve the real problem around its implementation.
This sucks, because for a lot of people it's not really about copyright or intellectual property anyway. It's about that automation threat, and a sort of human condition anxiety about being supplanted and replaced by automation. That's a whole mess of emotions and genuine labour concerns that we need to work through and break down and resolve, but reactionary egg-throwing at all things related to machine learning is counterproductive to that, as is reading out legal mantras paraphrasing megacorps looking to expand copyright law to over shit like "art style".
I've spoken about this more elsewhere if you look at my blog's AI tag.
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39oa · 1 year
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(nonsensical hrpf data exercise) degree centrality graphing & other archive insights
intro/prior work
hello 🙇‍♀️ i'm not sure this post will make any kind of sense at all, but i love analyzing ao3 data and i especially find it fascinating in the realm of sports/hrpf because of the amount of player- and team-related attributes that offer dimensionality to fandom analysis when examined in parallel with archive metrics. i've already kind of done hrpf overviews on two separate occasions over the past year or so, but my method of collection differed in each instance and also always gave me new things to chew on and potentially explore, such as expanding on the link between player talent and shippability and whether high-draft picks have more fic written for them on average.
i most recently examined player data based on aggregated relationship counts since 2022, but this was a limited snapshot meant to piece together recent ficdom trends (see top ships since 01/01/22) and not be representative of fandom overall. basically, things i want to visualize/talk about now are:
hockey is so widespread as a sports fandom because there are 32 teams in the league, which when compared to a community like f1 makes it difficult to succinctly summarize primary relationships for. there is no self-contained grid of 20 drivers that remains generally fixed within a season, where every move in/out of that "roster" is highly reported upon and instrumental to fandom makeup, but instead a more amorphous network of malleable rosters featuring high-variance cascading orders of character visibility; in short, the difference between the most and least popular driver in f1 fandom is not the same as the difference between sidney crosby and that one ahl lifer who was called up to your 4th line two months ago because your team is utterly decimated and gunning for bedard.
Still: because rosters are so malleable and trades happen with some amount of frequency, and because hockey is still an "insular" ecosystem in terms of geographic accessibility and junior-age development (for better or worse; mostly for worse, but that's neither here nor there), players intrinsically have a low degree of separation between one another, whether it be as teammates now or as friends growing up in the ohl, ntdp, etc. i therefore wanted to take that a step further and look at it through fic metrics especially: can we use a summary of ficdom's real, tangible output and visualize it through a similar network? (+ where and how does that network differ from player connections in practice?)
back to the impact of draft pick # and assessments of talent relative to popularity, i also wanted to look at the most "successful" ships in ficdom from this network and evaluate the different distributions and impacts of their respective attributes. are certain player positions more popular? which nationalities are the most commonly shipped?
etc. But let's just get into it.
process
getting any kind of information from a 60%-locked fandom on ao3 is a nightmare and introduces a myriad of data-collecting limitations, so i do feel it important to disclaim that what i present in this post functions more in the realm of Approximate Interpretation and Potential Correlation than any actual 100% objective representation of fandom metrics.
a perceived limitation i have with character tagging metrics on ao3 is that they don't exactly reflect shippability; that is, if q.hughes is tagged as a character in a n.hischier/j.hughes fic, it gets attributed to his character tag but doesn't actually say anything about how many Relationship Fics exist for him on a whole. my best solution for this was essentially uncovering most of a player's relationships and summing their individual fic counts to create an approximate # of "relationship fics" for each player. so any kind of shippability graph going forward will use that metric.
i used ao3's relationship tag search and filtered by canonical in the men's hockey rpf fandom and only pulled relationship* fics ("/" instead of "&") with a min. of 20 works. ao3's counts are... Not the most accurate, so my filtering may have fudged some things around or missed a few pairings on the cusp, which again is why all the visuals here are not meant to show Everything in the most exact manner but function more so as a "general overview" of ficdom. although i did doublecheck the ship counts so the numbers themselves are accurate as of time of collection.
(*i excluded wag ships, reader ships, threesomes to make my life easier although i know this affects numbers for certain players, hc/gm ships, and any otherwise non-NHL Player ship. for ex., this eliminated anna kasterova/evgeni malkin, tyler brown/tyler seguin, and kyle dubas/william nylander, just to name a few)
all ship data was collected march 16, 2023.
PART 1. SC87 ship networking
when i first began this exercise i tried graphing ships for all the first-overall picks from 2003-2022 because i wanted to get an overarching sense of their connections. however, doing so made me realize that sidney crosby was by and far the most-connected node in the graph (and basically all hrpf in general) with a degree of 11, and that he was centering one huge component to which only two ships failed to connect (op/kj and slaf/xhekaj). basically:
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so then i was like, right! let me instead use sidney crosby as my sole starting node, map out all ships with 20+ works from him specifically, take the players he connects to and map out their corresponding ships (excluding sid) and just keep iterating until i basically reach a final child node. through this, i yielded 112 ships and 98 unique players, with my final connecting node coming 9 degrees of separation away through brady tkachuk ↔ tim stützle/quinn hughes. unfortunately i can't actually host this little code snippet anywhere lol but i also wrote an input to check the pathways between any two players which was kind of fun:
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here is the actual network graph with colors from automatically generated clustering, which doesn't really mean much but i thought was one nice way of presenting it. the edge width refers to the sum of fics for each ship and the node size refers to the degree, or number of ships, for each player.
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i then also joined my player set with a dataset that included draft year, drafted team, position, etc... and through that color-coded the graph with the team each player was originally drafted to (i always struggle between using current team and draft team because which one matters more is super contextual, but... using draft team made my life easier this time so i hope it's still interesting.) here i only included colors for 13 teams that had 3+ players each:
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→ [full-size graph]
we can do a bit more analysis based on this specific sidcros network, like which players are the "most-shipped" or overviewing cross-team shipping tendencies:
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but! of course, not ALL big hrpf ships lead back to sc87. using him as a central node essentially just helped me filter out excess "noise" when searching for relationship tags on ao3, because now i could exclude anyone connected to him at all (note: the relationship fics from my set equaled upward of 19,000 works, accounting for 60.4% of the entire men's hockey rpf archive) and hit other significant tags more efficiently.
through this method, i singled out a new set of 76 ships and 134 unique players (notice the significant decrease in overlap), which i then combined with my sid ships to create one massive set of Hockey Ships With Over 20+ Works On Ao3 that i could analyze holistically. no idea if this makes any sense but bear with me:
PART 2. general ship insights
i won't bore people with endlessly listing out ship rankings but here's the previous top chart with the new ships slotted in:
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now for some overall player analysis!
first i wanted to look at how attributes like draft round, nationality, and position (F/D/G) are represented in the player set.
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the nationality distribution is pretty close to all active nhl players this season, so there aren't major disparities there. however, the vast majority of players 1) were drafted in the first round and 2) are mostly forwards, with the forwards also seemingly reflecting the general philosophy of faster development/higher recent-round representation. we can take this overview a step further and actually examine the fic averages for each characteristic as a proxy for measuring shippability/ficdom popularity.
first, i scatterplotted all players by their draft pick and number of fic to (try and) show the heavy skew toward top picks (inspired by the gar draft pick value curve and other similar plots). this is... well, limited in many ways, and if i had an actually adequately large dataset i could specifically plot averages per distinct pick number and try to present something there, but the problem is that a lot of these later pick numbers only have like one player so there's way too much variance LOL.
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but just for the sake of this exercise i excluded j.benn as an outlier and grouped fic averages by round (left below). again, noting the sample sizes, let's just say that first rounders on average seem to have the most fic written about them, even if it's not a particularly shocking insight. we can also try creating a histogram for "shippability" by draft year, binning here for every 2 years, to see which draft years appear to have had the most success (right below). note the peaks around 2005 and 2015, aka the sc87 and cm97 ~Generational Years~ 🤔
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i've also been interested in figuring out which positions are commonly preferred—since centers are so often the faces of a franchise and are essentially the most sought-after position, and since goalies occupy a positionally static role/are less oriented toward contact (and the presumed homoeroticness thereof) in the way skaters are, is that reflected in the fic metrics as well? turns out: yes.
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some ship analysis
learning more about player data in a vacuum is fun, but we also have all of this relationship data that lets us examine how different characteristics interact with each other, which is meaningful as well! for example, we know that forwards are heavily represented in the dataset, but is center4center the most common combination? or is there love for a franchise center and his beloved winger or the team's dependable 1d?
(fought for my life trying to figure out how to map this properly so please accept a horrible bar chart instead) as it turns out, the most common combination is centers/wingers, followed afterward by centers/centers. i don't know whether this really means much to me because i'd like to dissect the combos even further (is C/C more often 1C 2C or cross-team rivalry 1C shipping? are C/W usually linemates? etc.) but 🤷‍♀️ here's a graph.
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i also distributed ships by their nationality combination, displaying to the surprise of no one a heavy preference (a whopping 66.4%!) for north american-exclusive shipping. i also thought stacking by "draft year" (= averaging the draft year between both players for each ship) offered some interesting insight into usa4usa shipping having slightly younger representation. also i do think usa/germany being singlehandedly driven up this chart by one family is remarkable and hilarious LOL.
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also in the realm of draft year analysis, i wanted to look at draft year differences and whether fandom preferences seem to lie by way of same-age-ish pairings and In-Class Bicycling so to speak. graphing ships by these differences spanned a range of 20 years, with the oldest "age" (draft) difference being 20 years between zdeno chara and charlie mcavoy. overall, of 175 ships with a drafted player, 60.5% were drafted within 2 years of each other (18.2% in the same draft), and only 5% had a draft difference of 10 or more years.
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then, of those 32 ships drafted within the same year, i distributed their counts by year to see which draft classes featured the biggest in-class clusters, leading us again to the Famed Class of 2015:
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closing thoughts
i'll stop here :saluting_face: something else i had on the agenda that i don't really know how to adequately explore with this dataset is basically stanley cup champion stuff, e.g. looking at players and ships and fic counts from winning teams and how/whether a sort of "winning bias" has been trending down as of late (see the relative success of ships from teams like phi/ana compared to tbl/stl)—temporal data is so particular and difficult to wrangle with ao3 though so i'll have to let this one percolate a little bit.
finally, another thing (!) that i love examining is captaincy and how it often helps inform shippability; C/A/guyswithletters shipping obviously generously overlaps with being drafted early, high-impact players, some positional stuff like Young Star Center having the role foisted onto him, etc. and many of these aspects are immediately identifiable in top ships like 8771, 1634, 1386... just to name a few obvious ones. unfortch i don't really have the time or space to look at that here but it's something i'm still interested in maybe expanding on, and i also never ended up collecting actual skater *performance* data which would be super fun to eventually get to, e.g. mapping ficdom output to not just background identifiers like draft year/pick but also 1) actual tangible evaluations of player goals/points/(salary?!?)/etc. and 2) some dimension of draft outperformance/underperformance, which is pertinent for scenarios like late-round picks who have defied career expectations (see outlier jbenn having a shit ton of lifetime fic) AND early-round picks whose trajectories have not panned out as expected for whatever reason; often the ~tragic~ frustration of being a bust actually invites more narrative focus and scrutiny, but at the same time ficdom trends have pointed themselves to being attracted to many historic, talented, generational, and so on players, who more often than not are also winners, which potentially posits a need for some sustained line of access/visibility to high-expectation players significantly before they're regarded as "busts" in order to organically grow and generate initial interest that can survive the renewed reality of their situation. but who knows
again, i don't know whether any of this even makes sense or is interesting to literally anyone at all, but i personally enjoyed just dicking around graphing shit and getting to join a ton of tables together for absolutely no reason lol. that's all!
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yandere-daydreams · 10 months
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Title: Stud.
Pairing: Yandere!Miguel x Reader (Spider-Verse).
Summary: Miguel wants a family. You don't, but he doesn't care.
A Grab Bag For A Very Lovely Anonymous Commissioner.
TW: Trans!Miguel, AMAB!Reader, N0n//C0n, Overstimulation, Forced Breeding, Bondage, Themes Of Helplessness, and Unhealthy Relationships.
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You almost wished that he would paralyze you.
It was an awful thing to think, an awful thing to want, but you just couldn��t help it. You knew what it was like to be at the mercy of his venom. You could remember how it felt to have your body stiffen against your will, your joints lock into place, your mind remaining clear and lucid and hyper-aware that you couldn’t do anything to get away from him, and still, you couldn’t help but think it’d be better than this – than the feeling of his webbing pulsing around your wrists and ankles, of your body going limp not because of anything Miguel forced into your veins, but due to just how weak you were, compared to him. Then knowing he’d given you a fighting chance, and it hadn’t changed a thing.
Not that he’d meant to. It was a matter of practicality, of limiting as many adverse variables as he could without pumping you full of aphrodisiacs and turning you into a brain-dead toy. There’d been tests, nights spent with his fist wrapped around your cock as he measured your sensitivity, your refraction period, your… output, for lack of a less off-putting choice of words. Paralysis made things difficult, dampened your reactions, made it difficult to get what he wanted out of you and into him, and therefore, it was off the table, along with sedatives, tranquilizers, or anything else that might’ve made the experience less excruciating. You’d fought back at first, kicked and screamed and clawed at him in hopes that he’d do something to put you out of your misery, but that’d only earned you your improvised restraints and a knot of soreness in your pelvis, where his hips beat into yours. He was straddling you, knees bent and hands wrapped around the bars of his headboard, his expression caught between concentration and empty-headed lust. You couldn’t imagine how he was still upright, still rational, still riding you just as violently as he has been when he first slid you into him. You hadn’t done anything other than moan and cum, and you were barely on the verge of consciousness.
Barely, barely, then not at all. Your eyes fell shut, your mind going blank for all of half a second before one of his hands dropped to your face, cupping your chin and tilting your head back, keeping you awake despite your best efforts to save yourself just a few minutes of suffering. His pussy clenched around your cock as your eyes met, but any semblance of pleasure was lost to the agonizing burn of overstimulation. You wished you were numb. You wished he would let you go numb. “C’mon, amor,” he panted, his voice raspy and a tired smile pulling at the corner of his lips. “I know that’s not everything you can give me.”
It was. It really was. He’d already taken everything he could, from you. Your cum was already spilling out of his cunt, already mixing with his slick and pooling on his sheets. Your sides were rubbed raw where his muscular thighs were slotted against them, and you couldn’t begin to imagine the pain you’d be in tomorrow, after the adrenaline faded and the ache set in and Miguel’s ‘aftercare’ proved to be a glass of water, a military-style shower, and more unwanted affection. That was, if he even decided aftercare was necessary, if he didn’t just leave you tied up and prepped for your next breeding session. You wouldn’t put it above him, knowing how he tended to leave his half-finished projects spread across any available surface for months at a time. Despite your immobility, you shuddered, imagining yourself staying chained to his bed and milked dry until he got the two little lines he was looking for. Until he had something to fill the empty void in his chest where his heart should’ve been, the one your exploitation alone couldn’t heal.
You forced yourself not to think about it. You forced yourself not to think about the future. You forced yourself not to think about anything as his pace sped up, as he took to grinding himself against you, as his back arched and his head dipped lower and he buried his face in the crook of your neck. His skin was damp and hot, but it wasn’t a feeling you’d have to suffer for long. With labored, jerky movements, he raised his head and forced his lips against yours. The kiss was messy, violent, all teeth and tongue and fangs. You didn’t kiss back – if you had the strength, you wouldn’t have wasted it on that – but that did little to deter Miguel. He wanted to use you. Your cooperation (or lack thereof) wouldn’t change that.
“That’s it, just— Fuck, I know you’re going to love her.” You could feel him clenching around you, his slick dripping onto your stomach. He was going to cum again, and judging by the tightness in your chest, the raw agony clawing at the back of your skull, you weren’t far behind. “Do it. Knock me up. Breed me.”
It was an order, a demand, and you were too exhausted to disobey. It was more pitiful than anything – barely the forced, rigid aftershocks of however many climaxes he’d forced out of you. Still, his tight cunt forced every last drop out of you, milking you for all you were worth as he clenched his eyes shut and convulsed around you. Finally, finally, he went still, letting out a breath of a sigh before straightening his back. Through half-lidded eyes, you watched his hazy features contort into a careless grin, felt something deep inside of your chest fall and crack as he rolled his hips, falling back into a steady rhythm before you could so much as start to hope he was actually done with you, this time. “Just a little more,” he muttered, as your vision blurred and, exhausted and in agony, you slipped out of consciousness and into a restless, dreamless sleep.
“Just a little more, then we’ll be a family.”
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reachartwork · 2 months
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[private please, if thats alright] i used to follow you for your ai stuff back in 2021/22 when things were first kicking off (actually i thought you'd quit because of all the scandal lol) and the models and output were a lot 'sloppier' and kinda illegible but as far as i can see the stuff you're working on now is clearer looking and more coherent, so i was wondering - do you have any thoughts on the 'aesthetics' of AI and what specifically brings it unique merits and strengths as an art tool? for example i personally find a lot of modern ai art to be boring and soulless looking because it has neither stylistic interest (compared to the blatant 'inhumanity' of older models) nor a human person making base-to-base decisions about what it looks like, but i also havent been really paying too much attention to the AI scene except when it comes up in images searches. also, sorry if its not a question you want to answer, but do you do any more traditional styles of art as well? i find my art sensibilities are really effected by the mediums i work with so i would love to know if you have any similar experiences wrt ai and non ai works. thank you!
this is a side account so i can't answer privately, but, that being said;
i actually agree! for general purpose arting i preferred the secret horses style of total illegibility, and my main goal in my secret projects is to be able to reorganize around that style but with sharper, crisper lines and higher resolutions. part of why the whole "secret horses" style of ai medium fell through the cracks was because a: diffusion models were significantly faster and b: diffusion models scale upwards significantly better - they can produce higher resolutions and perform upscaling, which CLIP + VQGAN (the old method that made all the jank we all used to love) can't really do.
i think people whose sole interest in ai is making shitty advertisement images, or giant anime boobs, or some other lowest common denomenator slop, like... okay. you do you, the saying is "90% of everything is shit" for a reason, but obviously i think that's incredibly boring. i think the reason we see a lot of it is because a: the Good Artists who use AI are still effectively social pariahs, particularly on twitter and tumblr, just via dint of their medium, and b: ai puts art making in the hands of EVERYONE and it turns out not everyone has good taste (see: 90% of everything is shit), so you just see a lot more shit by volume.
anyway in terms of "traditional art" i am an author (READ CHUM) and a bassist, although i haven't been in a band in many years as my arthritis prevents me from playing for very long or very well anymore. if you mean traditional art as in like... paint and easel, or pen and paper, the answer is no. i've never had the ability to comfortably grasp anything with my hands even before the arthritis happened and now i lack not only the fine motor skills for it but also the pain threshold. i do like legos though, and i'd love to start making lego dioramas.
thanks for asking :)
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falconfate · 1 month
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Hello ranger’s apprentice fandom can we talk real quick about the stupidest thing Flanagan ever wrote
It’s about the bows. Yanno, the rangers’ Iconique™️ main weapon. That one. You know the one.
Flanagan. Flanagan why are your rangers using longbows.
“uh well recurve arrows drop faster” BUT DO THEY. FLANAGAN. DO THEY.
the answer is no they don’t. Compared to a MODERN, COMPOUND (aka cheating) bow, yes, but compared to a longbow? Y’know, what the rangers use in canon? Yeah no a recurve actually has a FLATTER trajectory. It drops LATER.
This from an article comparing the two:
“Both a longbow and a recurve bow, when equipped with the right arrow and broadhead combination, are capable of taking down big game animals. Afterall, hunters have been doing it for centuries with both types of bows.
However, generally speaking and all things equal, a recurve bow will offer more arrow speed, creating a flatter flight trajectory and retain more kinetic energy at impact.
The archers draw length, along with the weight of the arrow also affect speed and kinetic energy. However, the curved design of the limbs on a recurve adds to its output of force.”
It doesn’t actually mention ANY distance in range! And this is from a resource for bow hunting, which, presumably, WOULD CARE ABOUT THAT SORT OF THING!
Okay so that’s just. That’s just the first thing.
The MAIN thing is that even accounting for “hur dur recurves drop faster” LONGBOWS ARE STILL THE STUPID OPTION.
Longbows, particularly and especially ENGLISH longbows, are—as their name suggests—very long. English longbows in particular are often as tall or taller than their wielder even while strung, but especially when unstrung. An unstrung longbow is a very long and expensive stick, one that will GLADLY entangle itself in nearby trees, other people’s clothes, and any doorway you’re passing through.
And yes, there are shorter longbows, but at that point if you’re shortening your longbow, just get a goddamn recurve. And Flanagan makes a point to compare his rangers’ bows to the Very Long English Longbow.
Oh, do you know how the Very Long English Longbow was mostly historically militarily used? BY ON-FOOT ARCHER UNITS. Do you know what they’re TERRIBLE for? MOUNTED ARCHERY.
Trust me. Go look up right now “mounted archery longbow.” You’ll find MAYBE one or two pictures of some guy on a horse struggling with a big stick; mostly you will actually see either mounted archers with RECURVES, or comparisons of Roman longbow archers to Mongolian horse archers (which are neat, can’t lie, I love comparing archery styles like that).
Anyway. Why are longbows terrible for mounted archery? Because they’re so damn long. Think about it: imagine you’re on a horse. You’re straddling a beast that can think for itself and moves at your command, but ultimately independently of you; if you’re both well-trained enough, you’re barely paying attention to your horse except to give it commands. And you have a bow in your hands. If your target is close enough to you that you know, from years of shooting experience, you will need to actually angle your bow down to hit it because of your equine height advantage, guess what? If you have a longbow, YOU CAN’T! YOUR HORSE IS IN THE WAY BECAUSE YOUR BOW IS TOO LONG! Worse, it’s probably going to get in the general area of your horse’s shoulder or legs, aka moving parts, which WILL injure your horse AND your bow and leave you fresh out of both a getaway vehicle and a ranged weapon. It’s stupid. Don’t do it.
A recurve, on the other hand, is short. It was literally made for horse archers. You have SO much range of motion with a recurve on horseback; and if you’re REALLY good, you know how to give yourself even more, with techniques like Jamarkee, a Turkish technique where you LITERALLY CAN AIM BACKWARDS.
For your viewing enjoyment, Serena Lynn of Texas demonstrating Jamarkee:
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Yes, that’s real! This type of draw style is INCREDIBLY versatile: you can shoot backwards on horseback, straight down from a parapet or sally port without exposing yourself as a target, or from low to the ground to keep stealthy without banging your bow against the ground. And, while I’m sure you could attempt it with a longbow, I wouldn’t recommend it: a recurve’s smaller size makes it far more maneuverable up and over your head to actually get it into position for a Jamarkee shot.
A recurve just makes so much more SENSE. It’s not a baby bow! It’s not the longbow’s lesser cousin! It’s a COMPLETELY different instrument made to be used in a completely different context! For the rangers of Araluen, who put soooo much stock in being stealthy and their strong bonds with their horses, a recurve is the perfect fit! It’s small and easily transportable, it’s more maneuverable in combat and especially on horseback, it offers more power than a longbow of the same draw weight—really, truly, the only advantage in this case that a longbow has over the recurve is that longbows are quicker and easier to make. But we KNOW the rangers don’t care about that, their KNIVES use a forging technique (folding) that takes several times as long as standard Araluen forging practices at the time!
Okay.
Okay I think I’m done. For now.
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robertreich · 1 year
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The Biggest Economic Lies We’re Told
In America, it’s expensive just to be alive.
And with inflation being driven by price gouging corporations, it’s only getting more expensive for regular Americans who don’t have any more money to spend.
Just look at how Big Oil is raking it in while you pay through the nose at the pump.
That’s on top of the average price of a new non-luxury car — which is now over $44,000. Even accounting for inflation, this is way higher than the average cost when I bought my first car — it’s probably in a museum by now.
Even worse, the median price for a house is now over $440,000. Compare that to 1972, when it was under $200,000.
Work a full-time minimum wage job? You won’t be able to afford rent on a one-bedroom apartment just about anywhere in the U.S.
And when you get back after a long day of work, you’ll likely be met with bills up the wazoo for doctor visits, student loans, and utilities.
So what’s left of a paycheck after basic living expenses? Not much.
You can only reduce spending on food, housing, and other basic necessities so much. Want to try covering the rest of your monthly costs with a credit card? Well now that’s more expensive too, with the Fed continuing to hike interest rates.
All of this comes back to how we measure a successful economy.
What good are more jobs if those jobs barely pay enough to live on?
Over one-third of full time jobs don’t pay enough to cover a basic family budget.
And what good are lots of jobs if they cause so much stress and take up so much time that our lives are miserable?
And don’t tell me a good economy is measured by a roaring stock market if the richest 10 percent of Americans own more than 80 percent of it.
And what good is a large Gross Domestic Product if more and more of the total economy is going to the richest one-tenth of one percent?  
What good is economic growth if the way we grow depends on fossil fuels that cause a climate crisis?
These standard measures – jobs, the stock market, the GDP – don’t show how our economy is really doing, who is doing well, or the quality of our lives.
People who sit at their kitchen tables at night wondering how they’re going to pay the bills don’t say to themselves
“Well, at least corporate profits are at record levels.”
In fact, corporations have record profits and CEOs are paid so much because they’re squeezing more output from workers but paying lower wages. Over the past 40 years, productivity has grown 3.5x as fast as hourly pay.
At the same time, corporations are driving up the costs of everyday items people need.
Because corporations are monopolizing their markets, they don’t have to worry about competitors. A few giant corporations can easily coordinate price hikes and enjoy bigger profits.
Just four firms control 85% of all beef, 66% of all pork, and 54% of all poultry production.
Firms like Tyson have seen their profit margins skyrocket as they jack up prices higher than their costs — forcing consumers who are already stretched thin to pay even more.
It’s not just meat. Weak antitrust enforcement has allowed companies to become powerful enough to raise their prices across the entire food industry.
It’s the same story with household goods. Giant companies like Procter & Gamble blame their price hikes on increased costs – but their profit margins have soared to 25%. Hello? They care more about their bottom line than your bottom, that’s for sure.
Meanwhile, parents – and even grandparents like me – are STILL struggling to feed their babies because of a national formula shortage. Why? Largely because the three companies who control the entire formula industry would rather pump money into stock buybacks than quality control at their factories.
Traditionally, our economy’s health is measured by the unemployment rate. Job growth. The stock market. Overall economic growth. But these don’t reflect the everyday, “kitchen table economics” that affect our lives the most.
These measures don’t show the real economy.
Instead of looking just at the number of jobs, we need to look at the income earned from those jobs. And not the average income.
People at the top always bring up the average.
If Jeff Bezos walked into a bar with 140 other people, the average wealth of each person would be over a billion dollars.
No, look at the median income – half above, half below.
And make sure it accounts for inflation – real purchasing power.
Over the last few decades, the real median income has barely budged. This isn’t economic success.
It's economic failure, with a capital F.
And instead of looking at the stock market or the GDP we need to look at who owns what – where the wealth really is.
Over the last forty years, wealth has concentrated more and more at the very top. Look at this;
This is a problem, folks. Because with wealth comes political power.
Forget trickle-down economics. It’s trickle on.
And instead of looking just at economic growth, we also need to look at what that growth is costing us – subtract the costs of the climate crisis, the costs of bad health, the costs of no paid leave, and all the stresses on our lives that economic growth is demanding.
We need to look at the quality of our lives – all our lives. How many of us are adequately housed and clothed and fed. How many of our kids are getting a good education. How many of us live in safety – or in fear.
You want to measure economic success? Go to the kitchen tables of America.
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wachtelspinat · 4 months
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Hey ! I’ve been seeing your art going around since your midnight crew stuff and I just recently stubble across your tumblr, thank to your beautiful overwatch art for our beloveds junkers ! I’ve been scrolling through your account and read about your experience of being a former graphic designer who is a doctor now. And damn. I can’t emphasize how much I admire you, especially as someone who is struggling really hard to choose between 2 careers paths ( with one of them being art related ). This is why I was wondering if you would be open to talk about how and why you switched from art to medecine ? Especially because most of the time I feel it happens more the other way around ? ( If it’s too personal just ignore this ask + sorry if you already talked about it before )
hey ! no worries, i don't expect ppl to scroll through my tumblr to find an answer for a question they might have. first of all thanks for your nice words, means a lot <3
i switched from art to medicine because my early 20-something-self was even more anxiety-ridden than my present-self, and being in art school and having to "perform" regularly was a nightmare. i'm talking about a time in which i was so scared of being perceived that i often skipped grocery shopping, just so i could avoid being around people. so like, pitching art related projects to peers and profs was eeh... especially because art is so personal oh my god. i still hate it when someone tries to sneak a peek while i'm drawing, makes me wanna throw my sketchbook and myself off the bridge. anyways so i always felt a 110% inadequate (plus i got a gf during that time who was so good to me and tried to get me out of my funk on multiple occasions (she was and still is an artist and has now a career as a freelancer and i'm rly proud of her) but i couldn't see that because i just compared the two of us all the time and sabotaged any attempt she made for having fun with drawing with her) that i sat down at some point and asked myself if i could do this any longer, and i came to the conclusion that no, it really kills me rn.
what made me go into the health sector? i don't even know anymore, i think it was a mixture of "i loved biology, esp. the human body in school" and "my mum is an icu nurse and talks a lot about hospitals, maybe i should check it out"... it was not a well thought through decision, which is so funny because studying medicine was a hell of a meatgrinder ride (also my anxiety and self hatred? still there, but now i wasn't judged anymore because of my art but instead being called a dumb idiot collectively with all the other students because nobody likes med students) and for some reason i was able to get through that despite it not being my passion at all, but i couldn't stand up for myself in art school. i don't even know if i could work through it nowadays, but the good thing is i don't have to ask myself this question anymore, because being a doctor pays the bills, and ever since i left art school i was able to just draw without consequence. which is nice to a degree, my artistic output is not tied to the means of generating money. on the other hand... idk, in another life with more confidence and less worries, i'd love to be some sort of character designer T_T
so yeah that's basically it. at some times i cherished my career decisions, at other times i regretted them deeply, worst thing is i know it has a lot to do with personality, but the fact that we can't change who we are with a blink of an eye gives me the framework to think that the path i took was ok. as in. things happened for a reason and maybe i'm just not cut out for that kind of work. you have to be aware of the conditions of a job to decide if you are up for it. because being an artist doesn't end with "just draw". i myself had an unrealistic view of the job back then too. and the fact that i could not seperate between personal aspects and "doing a job here" was crucial.
yeah, idk if this is helpful at all. i think the one thing that is super important here is to have a realistic view on the conditions of work you are about to head into, and i know this is mostly very difficult to aquire. because unless you really work in a sector there is often no way to fully grasp the situations you can find yourself in (this applied for me also in the health sector, which made me fall into a depression a year ago, but what do you do after you spent 6 years of studying :') ). doing internships and just trying to get to know a lot of things really helps. and - idk how old you are, but if you're really young: it's ok to switch careers at some point. it's even ok to do so when you are older (trying to end on a positive note here because it feels like i just said a lot of depressing things... like don't get me wrong i like my job, the conditions are just fucked up, and again my personality prevents me from switching again but it's also not that easy in germany, BUT it's a valid thing to do, being versatile is good! just... make sure you don't end up with a job that you absolutely hate because that kills it all)
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sassyjoy · 10 months
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missed you
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genre: smut
word count: 727
⋆。˚ ⋆ ☾
"did you missed me that much?" joy chuckled when she saw you hurriedly took off your clothes upon entering your bedroom. joy was just lying on your bed, naked, waiting to be fucked. you were the one who took off her clothes she was wearing. she wasn't even able to completely put her bag on the couch when you started kissing her as you both enter your unit earlier. if not only for joy wanting you to fuck her in your bed, you already had fucked her in your couch. you took your words seriously when you told joy that she just needs to show up and you're going to do the rest. 
you kept telling joy that you've been waiting for this day to come where you will meet again since your last hook up was three weeks ago. joy just had her finals week in her school and prior to that, she had to submit the final outputs for her major subjects. you, on the other hand, were also busy with your final exams. 
you immediately hovered on top of joy which made the latter excited about what's about to happen. she's finally getting laid after weeks of just using her fingers in pleasuring herself. 
you kissed her torridly, obvious that you've been wanting her for weeks but couldn't. having a friend that is willing to be your fuck buddy is great not until your schedules don't match and you don't get to meet and fuck to satisfy both of your sexual needs.
your mouth made its way to her neck, to her collarbone and down to her chest. you left few soft kisses on her rose-colored nipple before massaging her soft milky boobs and going back to her lips for a kiss. you nibbled her bottom lip that made her whimper lightly. you saw joy leaning forward for more when you pulled away from her. 
"did you miss me?" 
"hmm, not really." joy answered.
"really?" you questioned her as your hand made its way to her wet core. joy shut her eyes tightly when she felt your tongue on her center. she can't help but to moan, thank god for your skilled tongue. joy loves the way you're eating her out. 
"fuck!" joy moaned loudly. you stopped when you noticed that she was close. 
"why-" joy automatically rolled her eyes back when you inserted your long, hard, cock inside her in one go. 
"fuck, i missed this!" you cursed as you pull her body closer to you. you reached out for her face, wanting to kiss her lips as you started thrusting into her. you continued thrusting harder, your arms placed on each side of her body for support. 
joy missed this. her fingers weren't enough to give her the pleasure you were giving. she knew it was the right choice that she did not purchase the dildo she was planning to buy online. your performance cannot be compared to a sex toy. the way you're fucking her, the way you're pleasuring her, the way you're driving her insane— it's unmatched. 
"you're so tight!" you moaned. you whimpered when joy met your thrusts. 
"ahh, shit!" 
"fuck, i'm coming!" joy moaned loudly. you kissed her neck, leaving a mark on it. 
you pulled your cock away from her pussy only to thrust it harder. both of your hands are now on her waist, steadying her as you began moving your hips harder than before. 
you fucked her relentlessly and you're loving every bit of it. the image of joy and her perky breasts bounce because of the intensity of how she's getting pounded, her long dark hair getting messy, sweat forming on her forehead, and moans slipping past her lips just drives you more to fuck her cunt mercilessly. 
no one has ever seen her being a mess like this. it is truly a privilege for you to fuck her since you knew that there are lots of guys in her inbox in her social media accounts wanting to get close to her. 
“s-shit. i'm coming!” you whispered out of breath and with one hard thrust, joy felt your cum fill her inside. some even started dripping down her legs but she's too exhausted to care. 
your arms were wrapped around her and your cock was still inside her pussy and fuck, you're still hard. 
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nikitricky · 8 months
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These are 50 triangles "learning" themselves to mimic this image of a hot dog.
If you clicked "Read more", then I assume you'd be interested to hear more about this. I'll try my best, sorry if it ends up a bit rambly. Here is how I did that.
Points in multiple dimensions and function optimization
This section roughly describes some stuff you need to know before all the other stuff.
Multiple dimensions - Wikipedia roughly defines dimensionality as "The minimum number of coordinates needed to specify any point within it", meaning that for a 2-dimensional space, you need 2 numbers to specify the coordinates (x and y), but in a 3-dimensional space you need 3 numbers (x, y, and z). There are an infinite amount of dimensions (yes, even one million dimensional space exists)
Function optimization - Optimization functions try and optimize the inputs of a function to get a given output (usually the minimum, maximum, or some specific value).
How to train your triangles
Representing triangles as points - First, we need to convert our triangles to points. Here are the values that I use. (every value is normalized between 0 and 1) • 4 values for color (r, g, b, a) • 6 values for the position of each point on the triangle (x, y pair multiplied by 3 vertices) Each triangle needs 10 values, so for 10 triangles we'd need 100 values, so any image containing 10 triangles can be represented as a point in 100-dimensional space
Preparing for the optimization function - Now that we can create images using points in space, we need to tell the optimization function what to optimize. In this case - minimize the difference between 2 images (the source and the triangles). I'll be using RMSE
Training - We finally have all the things to start training. Optimization functions are a very interesting and hard field of CS (its most prominent use is in neural networks), so instead of writing my own, I'll use something from people who actually know what they're doing. I'm writing all of this code in Python, using ZOOpt. The function that ZOOpt is trying to optimize goes like so: • Generate an image from triangles using the input • Compare that image to the image we're trying to get • Return the difference
That's it! We restrict how long it takes by setting a limit on how many times can the optimizer call the function and run.
Thanks for reading. Sorry if it's a bit bad, writing isn't my forte. This was inspired by this.
You can find my (bad) code here:
https://gist.github.com/NikiTricky2/6f6e8c7c28bd5393c1c605879e2de5ff
Here is one more image for you getting so far
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vaspider · 1 year
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re the ai art thing: there are absolutely some shitty things going on with ai art at the moment, but i feel like this whole thing would benefit from more clarity on the bad actors involved so that arguments could be meaningfully directed at them instead of the nebulous concept of "ai art". i suspect elon musk's name is being used as a buzzword here - while he was one of many founders of openai, he resigned from the company before things like gpt and dall-e even came into existence, so i find posts that talk as though he's still actively involved to be suspect. second, it's entirely possible for an ai art generator to create something thats no more derivative of existing work than a human using it as inspiration. i agree it's still not 100% ethically pure, but at that point it sort of becomes a philosophical debate, not a practical one. a lot of ai art bots DO use significant parts of work, though, and the medical photo story would be horrifying even if ai art wasn't involved - these are specific bad actors, specific people who put private photos into the public domain, specific people who don't do the due diligence in making sure their model doesn't violate the copyright and forgery boundaries we already have in place, specific users who choose to generate derivative art for unethical purposes, and aiming this very justified anger at them is likely to bring about a lot more positive change.
No, Elon Musk's name is being used because he has a very long and very loud history of thinking he shouldn't need to credit artists or writers and that he should be able to use anything in any way he wants and people should be grateful that he did. That context is very important when talking about the intention behind the Tech Bro Collage Machine.
Second, no. It is not possible for an AI to create anything that isn't 100% derivative. There are a few reasons for this:
"AI," that is, actual artificial intelligence, does not exist. This is not nitpicking terminology, this is extremely important and crucial. What we are talking about isn't a brain. It doesn't think. It doesn't create. It cannot create. We may wish to think that it can create - humans love to wonder and we love to anthropomorphize everything, but no. Calling it "AI" is a branding decision, and propaganda. It isn't fact. AI doesn't create anything, first of all, because AI doesn't exist.
Tech-Bros Discover Collages™️ is a program. An algorithm. It does not create any more than a paint mixer creates purple paint when the Home Depot worker puts red and blue paint into a can and loads it into the paint mixer. All it can do it take what it is given and smash it together over and over and over again. And that is - in a very simplistic but also very real way - all that TBDCs do.
I'm very sorry, but androids do not yet dream of electric sheep, computers don't think, and comparing the pixel output of a machine that's just as likely to barf put a man with three fingers growing out of his cheek as it is a "masterpiece" that, if you unfocus your eyes and ignore the watermark artifacts and look past the weird smeary edges and all of the other tells, almost looks kinda like it's not AI art to the output of an actual working artist is absolutely facile. I genuinely cannot believe that people are actually making this argument. Like, I really can't. No, the computer isn't thinking and it can't actually create anything. You're playing with an extremely complicated kaleidoscope loaded with millions of dollars worth of stolen art, intended to help billionaires further defraud everyone else by replacing artists with digital garbage. That's it. That's all. It is nothing more. It cannot be anything more.
I really do wonder what people think is going to happen, here. Do y'all really think this is going to do anything but make it impossible for small artists to make money?
People are already selling "prompts lists" on Etsy as if that is original art, which it is not. People who have gotten really good at playing with the kaleidoscope have gone on long huffy rants about how they shouldn't have to reveal their prompts because they put work into coming up with that specific prompts list... all written without a shred of self-awareness or realization of irony.
I genuinely don't want the answer, here, because as a working artist, I am really exhausted of people trying to defend the destruction of the livelihood I've poured myself into, and the destruction of my friends' livelihoods, too, but I want you to ask yourself (quietly, in your head, and if you want to post about it, do it on your blog, don't put it here) what you think the end result of all of this is going to be.
Do you think this is going to result in some grand new wave of art democratization? It will not. Do you think computers can really create? They cannot. Or do you think instead this is going to lead to a lot of artists no longer being able to find sufficient work as the Fiverr/Uber/Amazonification of everything combined with AI art means that a lot of the meat-and-potatoes commissions and art jobs dry up, because why would you pay someone $100 to draw you a really original picture of your OC with their hours of labor and years of experience when you can get Midjourney to make you one in minutes ✨️for free✨️?
While y'all are busy talking about how computers are doing something not at all different from the human mind (lol), you're hammering the livelihood of a lot of people into the ground, duped by the same people currently burning Twitter to the ground, lighting piles of money on fire as crypto, and minting NFTs. This is just the next thing in a long line of tech bro scams.
Stop falling for it. You're fucking shit up and I'm tired.
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