pleasure
Inside the App Where Queer Gooners Run Free
In light of Zoom crackdowns and Skype shutting down, Batemates has emerged as an alternative for "bators" who like masturbating together online. One night not long ago, Jaxon Roman sat naked in front of his laptop wearing only a pup hood as he masturbated with single-minded zeal to the attention of eight other men watching onscreen. It was a typical weekday for the 33-year-old Arlington, Virginia, program analyst. "When bros praise me and say they're enjoying [me], I get to that edge point so fast," Roman says. His favorite instances are "when they all come to what I'm doing." Sometimes, when he's feeling especially kinky, Roman, who is bisexual, likes to ask for permission before climaxing.
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Young Mormons Built an App to Help Men Quit Gooning
The Relay app allows users to track their porn-free streaks and get group support. Its creators say they're taking a stand against porn and AI erotica. Jamie would meticulously schedule his days around finding time alone to watch porn and masturbate--often up to five times a day. The 32-year-old Michigan engineer, who did not want to use his real name due to privacy concerns, first watched porn at the impressionable age of 12, but never realized he had a problem until just after his father's funeral three years ago. "I didn't shed a single tear," he says.
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Is reading always better for your brain than listening to audiobooks?
Is reading always better for your brain than listening to audiobooks? Reading books and listening to audiobooks tap into different elements of cognition, each with their own benefits. So which one should you choose, and when? But when a friend recently asked me whether her daughter was getting the same cognitive benefits from an audiobook as she would from reading, my instinct was to think "she's enjoying a book, the format doesn't matter". However, when I dug into the science, I found the medium does shape the mind in subtly different but meaningful ways.
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'Baby Steps' Is a Hiking Game That Trolls 'Slightly Problematic' Men
Is a Hiking Game That Trolls'Slightly Problematic' Men The walking simulator, launching September 23 on PlayStation and Steam, stars a jobless 35-year-old "privileged, white male" whose pride stops him from getting help. Game developer Bennett Foddy was watching a Greek myth unfold in front of him. A playtester for his latest project,, was struggling to navigate the game's lead--Nate, a 35-year-old "failson" in a stained onesie--up a slippery hill. Each time, the terrain proved to be too much, and Nate skidded uselessly down it. Foddy has a reputation for making onerous games that take a little bit of masochism to master.
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Persona-Based Synthetic Data Generation Using Multi-Stage Conditioning with Large Language Models for Emotion Recognition
Inoshita, Keito, Harada, Rushia
In the field of emotion recognition, the development of high-performance models remains a challenge due to the scarcity of high-quality, diverse emotional datasets. Emotional expressions are inherently subjective, shaped by individual personality traits, socio-cultural backgrounds, and contextual factors, making large-scale, generalizable data collection both ethically and practically difficult. To address this issue, we introduce PersonaGen, a novel framework for generating emotionally rich text using a Large Language Model (LLM) through multi-stage persona-based conditioning. PersonaGen constructs layered virtual personas by combining demographic attributes, socio-cultural backgrounds, and detailed situational contexts, which are then used to guide emotion expression generation. We conduct comprehensive evaluations of the generated synthetic data, assessing semantic diversity through clustering and distributional metrics, human-likeness via LLM-based quality scoring, realism through comparison with real-world emotion corpora, and practical utility in downstream emotion classification tasks. Experimental results show that PersonaGen significantly outperforms baseline methods in generating diverse, coherent, and discriminative emotion expressions, demonstrating its potential as a robust alternative for augmenting or replacing real-world emotional datasets.
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Confessions of a Recovering AI Porn Addict
Kyle's interest in AI porn began last summer as he circled rock bottom. From the outside, everything seemed fine. He was in a committed relationship with his longtime girlfriend. He enjoyed the perks of his job working for a sports betting company. Still, all he could think about was fueling his porn addiction in new ways--even at the cost of feeling mentally drained and tired.
"You Didn't Hear This from Me: (Mostly) True Notes on Gossip," Reviewed
In August, 1918, Virginia Woolf spent a quiet stretch at Asheham, the country house that she and her husband, Leonard, rented in rural Sussex. "We've been practically alone, which has a very spiritual effect upon the mind," Woolf wrote to a friend, the socialite Lady Ottoline Morrell. After six months spent in such isolation, Woolf quipped, "I should be a kind of Saint, and Leonard an undoubted prophet. We should shed virtue on people as we walked along the roads." Alas, any pretensions to holiness had been dispelled by the arrival of house guests the previous evening: "I had such a bath of the flesh that I am far from unspotted this morning.
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Signature moves: are we losing the ability to write by hand?
Humming away in offices on Capitol Hill, in the Pentagon and in the White House is a technology that represents the pragmatism, efficiency and unsentimental nature of American bureaucracy: the autopen. It is a device that stores a person's signature, replicating it as needed using a mechanical arm that holds a real pen. Like many technologies, this rudimentary robotic signature-maker has always provoked ambivalence. We invest signatures with meaning, particularly when the signer is well known. During the George W Bush administration, the secretary of defence, Donald Rumsfeld, generated a small wave of outrage when reporters revealed that he had been using an autopen for his signature on the condolence letters that he sent to the families of fallen soldiers. Fans of singer Bob Dylan expressed ire when they discovered that the limited edition of his book The Philosophy of Modern Song, which cost nearly 600 and came with an official certificate "attesting to its having been individually signed by Dylan", in fact had made unlimited use of an autopen. Dylan took the unusual step of issuing a statement on his Facebook page: "With contractual deadlines looming," Dylan wrote, "the idea of using an autopen was suggested to me, along with the assurance that this kind of thing is done'all the time' in the art and literary worlds."
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My Kid's Teacher Has Assigned My Son a Project That Will No Doubt Turn Him Into an Incel
Care and Feeding is Slate's parenting advice column. Have a question for Care and Feeding? I've just been informed of an assignment my son "Patrick" was given in middle school. He's to select a topic from a pre-approved list, ask ChatGPT to write an essay about it, submit that essay to the teacher, and then fact-check the essay, looking for things the AI got wrong. I do not want Patrick doing this assignment.
Emotional Dimension Control in Language Model-Based Text-to-Speech: Spanning a Broad Spectrum of Human Emotions
Zhou, Kun, Zhang, You, Zhao, Shengkui, Wang, Hao, Pan, Zexu, Ng, Dianwen, Zhang, Chong, Ni, Chongjia, Ma, Yukun, Nguyen, Trung Hieu, Yip, Jia Qi, Ma, Bin
Current emotional text-to-speech (TTS) systems face challenges in mimicking a broad spectrum of human emotions due to the inherent complexity of emotions and limitations in emotional speech datasets and models. This paper proposes a TTS framework that facilitates control over pleasure, arousal, and dominance, and can synthesize a diversity of emotional styles without requiring any emotional speech data during TTS training. We train an emotional attribute predictor using only categorical labels from speech data, aligning with psychological research and incorporating anchored dimensionality reduction on self-supervised learning (SSL) features. The TTS framework converts text inputs into phonetic tokens via an autoregressive language model and uses pseudo-emotional dimensions to guide the parallel prediction of fine-grained acoustic details. Experiments conducted on the LibriTTS dataset demonstrate that our framework can synthesize speech with enhanced naturalness and a variety of emotional styles by effectively controlling emotional dimensions, even without the inclusion of any emotional speech during TTS training.
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