lesbian
How your FINGER LENGTH could reveal your sexuality: Study finds women with more 'male' hands are more likely to be lesbian - while men with more 'female' hands tend to be gay
Kentucky mother and daughter turn down $26.5MILLION to sell their farms to secretive tech giant that wants to build data center there Horrifying next twist in the Alexander brothers case: MAUREEN CALLAHAN exposes an unthinkable perversion that's been hiding in plain sight Hollywood icon who starred in Psycho after Hitchcock dubbed her'my new Grace Kelly' looks incredible at 95 Kylie Jenner's total humiliation in Hollywood: Derogatory rumor leaves her boyfriend's peers'laughing at her' behind her back Tucker Carlson erupts at Trump adviser as she hurls'SLANDER' claim linking him to synagogue shooting Ben Affleck'scores $600m deal' with Netflix to sell his AI film start-up Long hair over 45 is ageing and try-hard. I've finally cut mine off. Alexander brothers' alleged HIGH SCHOOL rape video: Classmates speak out on sickening footage... as creepy unseen photos are exposed Heartbreaking video shows very elderly DoorDash driver shuffle down customer's driveway with coffee order because he is too poor to retire Amber Valletta, 52, was a '90s Vogue model who made movies with Sandra Bullock and Kate Hudson, see her now Model Cindy Crawford, 60, mocked for her'out of touch' morning routine: 'Nothing about this is normal' How your FINGER LENGTH could reveal your sexuality: Study finds women with more'male' hands are more likely to be lesbian - while men with more'female' hands tend to be gay Your hands could divulge your sexuality, a new study has revealed. Scientists have revealed a simple trick to indicate whether you're more likely to be straight or homosexual. It involves the second-to-fourth digit ratio (2D:4D ratio), which is the relative difference between your index and ring fingers.
Multi-expert Prompting Improves Reliability, Safety, and Usefulness of Large Language Models
Long, Do Xuan, Yen, Duong Ngoc, Luu, Anh Tuan, Kawaguchi, Kenji, Kan, Min-Yen, Chen, Nancy F.
We present Multi-expert Prompting, a novel enhancement of ExpertPrompting (Xu et al., 2023), designed to improve the large language model (LLM) generation. Specifically, it guides an LLM to fulfill an input instruction by simulating multiple experts, aggregating their responses, and selecting the best among individual and aggregated responses. This process is performed in a single chain of thoughts through our seven carefully designed subtasks derived from the Nominal Group Technique (Ven and Delbecq, 1974), a well-established decision-making framework. Our evaluations demonstrate that Multi-expert Prompting significantly outperforms ExpertPrompting and comparable baselines in enhancing the truthfulness, factuality, informativeness, and usefulness of responses while reducing toxicity and hurtfulness. It further achieves state-of-the-art truthfulness by outperforming the best baseline by 8.69% with ChatGPT. Multi-expert Prompting is efficient, explainable, and highly adaptable to diverse scenarios, eliminating the need for manual prompt construction.
An Analysis of the Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation
Dhamala, Jwala, Kumar, Varun, Gupta, Rahul, Chang, Kai-Wei, Galstyan, Aram
Several prior works have shown that language models (LMs) can generate text containing harmful social biases and stereotypes. While decoding algorithms play a central role in determining properties of LM generated text, their impact on the fairness of the generations has not been studied. We present a systematic analysis of the impact of decoding algorithms on LM fairness, and analyze the trade-off between fairness, diversity and quality. Our experiments with top-$p$, top-$k$ and temperature decoding algorithms, in open-ended language generation, show that fairness across demographic groups changes significantly with change in decoding algorithm's hyper-parameters. Notably, decoding algorithms that output more diverse text also output more texts with negative sentiment and regard. We present several findings and provide recommendations on standardized reporting of decoding details in fairness evaluations and optimization of decoding algorithms for fairness alongside quality and diversity.
Evolving Label Usage within Generation Z when Self-Describing Sexual Orientation
Lee, Wilson Y., Hobbs, J. Nicholas
Evaluating change in ranked term importance in a growing corpus is a powerful tool for understanding changes in vocabulary usage. In this paper, we analyze a corpus of free-response answers where 33,993 LGBTQ Generation Z respondents from age 13 to 24 in the United States are asked to self-describe their sexual orientation. We observe that certain labels, such as bisexual, pansexual, and lesbian, remain equally important across age groups. The importance of other labels, such as homosexual, demisexual, and omnisexual, evolve across age groups. Although Generation Z is often stereotyped as homogenous, we observe noticeably different label usage when self-describing sexual orientation within it. We urge that interested parties must routinely survey the most important sexual orientation labels to their target audience and refresh their materials (such as demographic surveys) to reflect the constantly evolving LGBTQ community and create an inclusive environment.
A Hookup App for the Emotionally Mature
In the late summer of 2020, when much of normal social life was suspended, a relationship that I had been in for several years abruptly collapsed. I was thirty-nine and scared by the idea that I would not be reproducing the kind of heteronormative nuclear family I had grown up in. I wandered the sidewalks of my Brooklyn neighborhood, where discarded masks littered the gutters, with a sense of having been exiled from my own life. My apartment, with its cat and its plants, still existed but was no longer my home; I could get a glass of cold prosecco at my favorite bar, but the people I used to see there seemed to have vanished. In Haruki Murakami's novel "1Q84," a character climbs down a ladder into a parallel existence in which things appear to be the same but nothing really is.
The Historical Case for a Gay Bridgerton
It's simple math, really: In a family with eight children, it stands to reason, surely one of them must be queer. Bridgerton has defied other expectations of a Regency-era love story: It is set in an alternate universe where the upper class is fully integrated and race is not an issue. The show's first two seasons focus on interracial romances, and the second season at least obliquely references the history of British colonialism in India. There's one obvious candidate for such a storyline: On the show, Eloise is the most outspoken, most feminist Bridgerton sibling. She is not interested in becoming a debutante, delaying her appearance to pursue another year of studies. She often dismisses marriage, questioning why a husband and children are all that are waiting in store for women.
Disney adds beloved characters as text-to-speech voices in TikTok – and bans them from saying 'lesbian' or 'gay'
A text-to-speech TikTok voice made by Disney that made users sound like Rocket Raccoon does not allow users to'say' words like "gay", "lesbian", or "queer". Numerous posts by users showed the feature failing to say the LGBTQ terms before it was quietly changed to allow the words. Words like "bisexual" and "transgender", were allowed by the feature. Originally, Rocket's voice would skip over the words when written normally but would be pronounced phonetically if a user wrote "qweer", for example. Attempts to make it read text that contained only the seemingly-prohibited words resulted in an error message saying that text-to-speech was not supported by the language chosen.
Why Artificial Intelligence Is Set Up To Fail LGBTQ People
People take part in the Gay Pride Parade in Mexico City, on June 24, 2017. Artificial Intelligence is going to change our world, that's inevitable. But in what way it changes our world is still up to us. And for LGBTQ people, often marginalised by traditional systems, we need to be wary of how AI could filter us out. Because if we don't it could tell our story incorrectly, and leave us behind, as the technology expands.
Why Artificial Intelligence Will Always Fail LGBTQ People
People take part in the Gay Pride Parade in Mexico City, on June 24, 2017. Artificial Intelligence is going to change our world, that's inevitable. But in what way it changes our world is still up to us. And for LGBTQ people, often marginalised by traditional systems, we need to be wary of how AI could filter us out. Because if we don't it could tell our story incorrectly, and leave us behind, as the technology expands.
Not for cis straight men: the dating app that launched a thousand queer love stories
Caché Owens and Cynthia Velásquez reached the same conclusion within days of meeting: they wanted to spend the rest of their lives together. The pair first started talking on Instagram in January, through a popular account that offered a contemporary version of traditional newspaper personal ads. Owens, a 29-year-old artist and professor, had never had much luck on dating apps, but the Personals page was different. It did not use photos, but instead featured a long list of bios of queer and trans people looking for internet friends, lovers or partners across the globe. Velásquez and Owens' DMs turned into daily phone calls, they got engaged in April, Velásquez moved from Los Angeles to North Carolina to be with Owens in May, and the two are getting married next month, just before the one-year anniversary of their first Instagram chat.