鸢🏳️‍⚧️🍥

确实的幸福仅在自己的臂展之内

[寒涟漪 @HANLIANYI331]

绝大多数跨性别女生都会在有条件的情况以后变得比顺性别女生更加沉迷于穿着“最大化展现女性特质”的服装，出现过度女性化（Hyperfemininity）的情况

这一点在跨性别男生身上也同样存在：很多跨性别男性在穿衣打扮上往往会追求“过度男性化”，如西装，礼服等很少有男性会穿戴的正式衣服，出现过度男性化（Hypermasculinity）的情况

很多跨性别女生都有严重的童年性报复性补偿心理（Unfinished Business）

“在穿着打扮上常常比顺性别女生花哨、浮夸的多”

“什么样的打扮能最大化的符合刻板印象（或者是想象）中的女性形象，就怎么穿”

“尤其是动漫中的二次元美少女形象，这些现实中都很少有顺性别女生打扮的外貌形象在跨性别女生身上却往往特别常见”

「例如公主切式的姬发，花哨艳丽的Lolita裙，大多数情况下只有女童才会穿的白色丝袜，顺性别女生普遍只有特殊游玩时期才会穿着的JK制服，只有在动漫中才会常出现的小女生的动作姿态和神态，这些在跨性别女生身上往往成了日常」

以上这些情况在刚刚开始以女性社会身份进行日常生活的跨性别女生中尤为明显，而即使是已经工作生活多年，到三十岁甚至四十岁的跨性别女生之中，也依然会存在这些影子。我身边一位已经工作多年的三十多岁的跨性别女生曾和我说，她几乎看到每一条喜欢的裙子都会忍不住买下来。

「那些童年时期梦寐以求的期望形象在独立生活以后被无限的放大，我不得不动用了一个空卧室专门用来放置我数百条完全没有机会去穿的各种样式的裙子，但即使如此每当我看到一条新的好看的裙子时，依然忍不住想买，想穿，想试。在平日下班放假的时候，我依然会穿着已经完全不符合我的年龄气质的服装；伪声出过度年轻化的女性��音。假期时出门前能照着镜子化妆打扮整整三个小时，仅仅为了让自己看上去像是一个18岁的女高中生」

除非是同属于跨性别群体，绝大多数顺性别群体是很难做到共情和理解跨性别女生的普遍心理的。就好似同样是被当成男生称呼，顺性别女生常常笑笑就过去了，甚至会觉得非常好玩，给自己安上无数男生称呼的外号。但对于跨性别女生来说，这尝尝是莫大的打击和刺激

就好似一位好心的民警永远也无法理解，为何在那个凌晨时分的大桥上，当他试图耐心劝导那位才不过十几岁的“少年”不要自杀。可是在他说出“小伙子你长得这么帅，就这么早早的结束生命，多可惜呀！”时，那个孩子却忽然纵身一跃

而从小在蜜罐里泡大的有一个��暖家庭的孩子也永远无法理解，为何对于一个小女孩来说，她的梦想仅仅只是想有一个属于自己的，温暖的，可以独处的小房子

[李老师不是你老师 @whyyoutouzhele]

“你频繁表演爱国，却看不到我所述的苦难和哭声”

近日，香港男歌手王嘉尔在threads上被指翻出网友一个月前提的意见，利用自己身为公众人物的影响力和话语权引导网暴女素人。
而这一做法却被粉丝大赞“有活人感”。

随后，对明星的“活人感”的定义引发网友热议。
大量网友指责王嘉尔最热衷在国家主权立场问题发声，却几乎没有在性别权益、劳工LGBTQ、环保等社会议题公开发表个人立场评论。

有网友留言：

你在2023年1月伦敦演唱会上，大喊fxxk media，说西方对于中国的批评是 propaganda bullshit。刚刚过去的2022年，丰县铁链女事件曝光，上海经历了2个月封控，唐山烧烤打人，河南动用防疫码限制储户维权，贵州大巴翻车，新疆大火，走上街头的年轻人被捕换来接封。请问这些也是西方的propaganda吗？
你有时上综艺还会以“上海人”身份自居���怎么看待你家乡发生四月之声，丁香医生呼吁隔离不应母婴分离被封号，曹路镇防疫人员杀狗，虹口卫健委主任自杀，“我们是最后一代”，居委会瑞士卷事件？
你频繁表演爱国是因为你有香港身份、韩国永居真的看不到我上述的苦难和哭声。

还有大量网友涌入王嘉尔的threads评论区留言，使其评论区成了对性别权益、劳工、香港一国两制、动物保护、1989天安门六四事件、乌鲁木齐大火及白纸运动等公共社会议题的平台。

[Iza @ chilean yaoi retweeter @izariez_]

Curioso nadie dice esto de los heteros que siempre se abrazan, besan y cojen porque es algo normal, y está regla solo aplica a las saficas, eh?

Sabes quiénes celebran cuando las lesbianas no quedan juntas y se separan? los homofóbicos y varones q se las quieren cojer, pero dale

[牧鸢 @LwrDHYyuxR22499]

I am a volunteer in China campaigning against conversion‑therapy facilities.
Ico‑produced a documentary with the BBC exposing conversion‑therapy facilities in China.https://t.co/oWagWtgCmZ
I can testify that the situation for transgender people in China is this grim.

Moreover, it is not only transgender people who suffer. Lesbians are bullied in conversion‑therapy facilities; some have glass bottles forced into their bodies by roommates. Gay men and transgender people are treated as comfort men in concentration camps, suffering endless bullying and sexual assault. Some are driven to commit suicide by jumping from buildings, some hang themselves, and others are beaten to death.

Under the oppression of the same system, people are getting killed all the time. Yet sexual‑minority groups choose to keep infighting among themselves. I have witnessed so many chaotic internal conflicts within sexual‑minority communities, more than I can count on one hand.

For God’s sake, can’t oppressed people just unite and do something?
#les #女同

[amber水母🍥 @amber_medusozoa]

牧鸢 is currently the most prominent anti-conversion therapy activist in China. Having fought against these private and publicly run child-torturing facilities for years, their team has successfully closed down hundreds of these facilities, saving the lives of countless trans kids and youths. Please follow them to learn more and support their work!

[李老师不是你老师 @whyyoutouzhele]

9月20日，英国政府宣布成立全国“打击厌女”工作组（National Taskforce for Tackling Misogyny）。

工作组由妇女和平等事务大臣布里奇特·菲利普森主持，成员包括政府官员、地方领导、学者及妇女组织代表。

工作组将把“厌女态度”的预防扩大到整个社会，重点关注网络、工作场所和社区。

菲利普森表示，希望通过政府政策和社会干预，将厌女态度“送回黑暗时代”。

英国政府同时宣布投入1600万英镑，用于在学校开展健康关系教育并培训工作人员识别和应对厌女行为，另有1000万英镑用于针对已经出现伤害行为的儿童开展干预。该工作组也是英国政府“十年内将针对女性和女孩的暴力减半��政策的一部分。

[M @jsptrql]

Ma sœur est pâtissière elle voulait pas me faire de gâteau du coup j’ai commandé chez elle avec un faux compte jss pas aller le chercher, elle pensait que le client avait annulé le soir j’ai été chez elle et j’ai mangé le gâteau

[穗_🌾 @Sui_aini]

异性恋代孕关性少数什么事，ladygaga作为一个顺直白女，顺性别异性恋白人女性迫害女性，就因为她支持LGBT，然后就把她代孕的事，全拐到LGBT身上，现在怎么不说先XX后XX了，俄罗斯还是反性少数的代孕大国，也不见得有骂的，有些人可真是够双标的。
「因为代孕的客户都是男同，但ladygaga作为一个顺直白人女性，只是因为她支持LGBT，所以全都是性少数的错」，某些蠢猪就是这个逻辑

[Epic🧚 @AQSa1723]

Rape is caused by rapists.

Not alcohol.
Not clothes.
Not flirting.
Not being alone with someone.

Rapists.

[禿道道🐟 @dearemon]

骂chat gpt有没有类似于骂豆包“我要把你豆馅掏出来！！！”这种话

我真的被gpt气疯了

[amber水母🍥 @amber_medusozoa]

希望大家都看一下这份资料，看看男方这种特权阶级妈宝男巨婴怎么把自己扮演成受害者的。肖同学之前就有过偷窥女厕、索要女同学贴身衣物的前科，妈妈是公司总经理爷爷是东风汽车副董，花上百万人民币去我本科学校（杜克）当交换生，你们真觉得这位是什么穷苦家庭老实大学生？

[theleahfiles @leahfiles]

People keep saying Trump term II is the most corrupt administration ever, so I built a model to find out if it was true.

I took the UN's definition of corruption, turned it into eight criteria and 100 points, and scored the leaders history remembers for looting their countries: Marcos, Suharto, Mobutu, Abacha, Obiang, Putin.

Then I put every president since Eisenhower on the same scale, both parties, with every exoneration counted right alongside the convictions.

Nixon scored 41 and no other American President scored over a 25.

Trump's second term scored a 91, which ties him with Suharto and Mobutu and puts him above Marcos and Abacha.

So he is not only the most corrupt president in American history. At this pace he finishes his term level with the most corrupt rulers of the last hundred years.

PSA: don't come in my comments arguing about the results if you haven't read the full article, because ignorance is a choice.

Full article is up now on my Substack (link in bio) and it's free.

[Epic🧚 @AQSa1723]

if you only support abortion in cases of rape or incest, you’re reinforcing the idea that in order for a woman to have a right to her body, someone else has to violate it first.

[雪灯 @Sasaki_Yuzuriha]

“鸟妈妈喂孩子🍪”
#ゆりグレ

[sarah @ritagayworths]

the problem is that a lot of women think they’re feminists because they hate men. but hating men is just a normal response to growing up in this world. actually being a feminist requires unlearning the misogyny you absorbed from society and actively standing for women’s rights

[Rikali🐇🏳️‍⚧️ @Rikalii]

Hey dude @jk_rowling, it's my 6 month anniversary 🏳️‍⚧️ today and it would mean a lot to me if you could delete your account

[Alex Veremeyenko @alex_verem]

Researchers at Oxford argue that LLMs can't invent anything.

It's impossible mathematically.

The paper is called "Theory Is All You Need."

Teppo Felin and Matthias Holweg take the famous "Attention Is All You Need" title and flip it. Their argument is that AI predicts from the past, while humans reason forward into the future, and those are two different kinds of thinking.

Start with the numbers. The authors estimate a large language model trains on roughly 13 trillion tokens. A human reading at 150 words a minute would need about 164,000 years to get through that. A child hears around 20,000 words a day and roughly 36.5 million words in their first five years. It's the same task with wildly different data, and the child still ends up with language that goes far beyond anything they heard.

Their point is that the model learns which words tend to follow other words. It becomes a mirror of what people have already written. It doesn't build a theory of how the world works, so it can't step outside its training data.

The paper's sharpest thought experiment makes this painful. Imagine an LLM trained in 1633 on every scientific text ever written up to that point. Ask it about Galileo and heliocentrism. Thousands of years of geocentric texts would swamp Galileo's ideas, so the model would tell you he's wrong. It would also rate Tycho Brahe's astrology as more credible than the idea that the Earth moves, because more people had written about astrology.

Then there's flight. In 1888 the scientist Joseph LeConte looked at bird data, noted that no bird above 50 pounds could fly, and concluded humans couldn't either. Lord Kelvin, then president of the Royal Society, said he had not the smallest molecule of faith in aerial navigation.

The New York Times estimated in 1903 that flight was one to ten million years away.

Nine weeks later the Wright brothers flew.

The Wrights didn't have better data. They had a theory. They broke flight into three problems, lift, propulsion, and steering, built their own wind tunnels, and generated the data that didn't exist yet.

Wilbur wrote in 1900 that he had been "afflicted with the belief that flight is possible to man."

Every prediction machine on Earth would have told him no.

The authors call this the data belief asymmetry. Every real breakthrough starts with someone believing something the existing data says is wrong. A system trained to minimize surprise can't do that by design.

They're not anti AI. They say AI will win at routine, repetitive decisions that extrapolate from the past, which is most decisions. They're just pushing back on the idea that you should replace humans with algorithms whenever possible, which is a direct quote from Kahneman.

I use these models every day and this matches what I see. The new stuff comes from the human at the keyboard who decides the data is wrong.

LLMs don't think, you do!

[September @Fades_September]

这条笑的我

[amber水母🍥 @amber_medusozoa]

美国监狱系统里有个不成文的规则叫v-coding，指的是狱警会把跨女作为性资源分配给暴力犯罪的男性罪犯，通过放任她们被强奸维持监狱稳定运行

[是早露泡泡兔呀 @Poca2381]

老公什么时候触手长脸上进化成真正的克苏鲁对我很重要