Recent advances in AI-generated video have shown strong performance on \emph{text-to-video} tasks, particularly for short clips depicting a single scene. However, current models struggle to generate longer videos with coherent scene transitions, primarily because they cannot infer when a transition is needed from the prompt. Most open-source models are trained on datasets consisting of single-scene video clips, which limits their capacity to learn and respond to prompts requiring multiple scenes. Developing scene transition awareness is essential for multi-scene generation, as it allows models to identify and segment videos into distinct clips by accurately detecting transitions. To address this, we propose the \textbf{Transition-Aware Video} (TAV) dataset, which consists of preprocessed video clips with multiple scene transitions. Our experiment shows that post-training on the \textbf{TAV} dataset improves prompt-based scene transition understanding, narrows the gap between required and generated scenes, and maintains image quality.

Short men around the world were devastated by the news this week that Tinder is introducing an experimental height filter. Spotted within the Premium Discovery section of Tinder's Settings, the tool allows users to specify the minimum and maximum heights for their matches. So, is it really over for so-called'short kings'? MailOnline spoke to experts to get to the bottom of it - revealing the most attractive heights for both men and women. Surprisingly, research shows that the most attractive height is quite a bit taller than the average height of the population.

To recognize and mitigate the harms of generative AI systems, it is crucial to consider who is represented in the outputs of generative AI systems and how people are represented. A critical gap emerges when naively improving who is represented, as this does not imply bias mitigation efforts have been applied to address how people are represented. We critically examined this by investigating gender representation in occupation across state-of-the-art large language models. We first show evidence suggesting that over time there have been interventions to models altering the resulting gender distribution, and we find that women are more represented than men when models are prompted to generate biographies or personas. We then demonstrate that representational biases persist in how different genders are represented by examining statistically significant word differences across genders. This results in a proliferation of representational harms, stereotypes, and neoliberalism ideals that, despite existing interventions to increase female representation, reinforce existing systems of oppression.

The F-35 has had to develop a thick skin. From my former colleagues in Congress to defense-industry experts, the world's premier fighter jet is accustomed to criticism for issues with cost, production and more. In November, though, one of America's most influential voices decided to jump on the bandwagon: Elon Musk. Musk shared a video of a drone swarm with the caption, "Meanwhile, some idiots are still building manned fighter jets like the F-35," and he included a trash-can emoji for good measure. You can imagine the pleasant surprise of the men and women who build the F-35, as well as the brilliant men and women who pilot it, when a drone-like swarm of voices came to their defense.

A deep-dive exploring over 23,000 profiles in Tinder's dating pool has identified the most common, self-reported interests of those looking for love on the mobile app. Men looking for that first spark of connection with a special lady may want to reconnect with their softer side: leisure interests like reading (6 percent of profiles) and casual activities like walking (9 percent), topped the list for women. The most commonly listed interests for men tended to be on the more high-intensity side, like sports (16 percent), working out (12 percent) and hiking (5 percent). Tinder's'swipe-based' dating app let's users post five of their interests on their profile -- and the researchers pulled this'interest' data from 13,941 women's and 9,229 men's Tinder profiles for the new study. Fortunately, more than a few of these interests were common to both men and women, leaving plenty of room for a more organic connection, based real interests.

Men and women have "distinct brain organization patterns" according to a new Stanford Medicine study. The findings were published in the "Proceedings of the National Academy of Sciences" journal on Tuesday. According to Stanford Medicine's statement on the study, it was conducted utilizing a new artificial intelligence model to scan around 1,500 brains. The AI was then instructed to determine whether the brain scan came from a man or a woman, predicting correctly with a 90% accuracy rate. "A key motivation for this study is that sex plays a crucial role in human brain development, in aging, and in the manifestation of psychiatric and neurological disorders," Vinod Menon, PhD, professor of psychiatry and behavioral sciences and director of the Stanford Cognitive and Systems Neuroscience Laboratory, said.

Relationship columnists and pop psychologists have long claimed that men and women are wired differently, and a new study has proven them correct. Scientists developed an artificial intelligence model that was able to tell the difference between scans of men's and women's brain activity with more than 90-percent accuracy. Most of these differences are in the default mode network, striatum, and limbic network - areas involved in a wide range of processes including daydreaming, remembering the past, planning for the future, making decisions, and smelling. With these results, scientists at Stanford Medicine add a new piece to the puzzle, supporting the idea that biological sex shapes the brain. The researchers said they are optimistic that this work will help shed light on brain conditions that affect men and women differently.

Men's brains tend to be larger than women's, which makes them difficult to compare Are men's and women's brains all that different? A new way of investigating this question has concluded that they are – but it takes artificial intelligence (AI) to distinguish between them. The question of whether we can measure differences between men's and women's brains has long been contentious, with previous research coming up with contradictory results. One problem is that men tend to have slightly larger brains than women, probably because they generally have larger bodies, and some previous studies that compared the size of different small regions of the brain failed to adjust for the overall brain volume. However, even doing so hasn't previously resulted in clear-cut findings.