Why do cats lick you? Grooming is only one way cats say, I love you." Some cats shower their favorite humans with sandpaper kisses. Breakthroughs, discoveries, and DIY tips sent six days a week. If you've ever been around a cat, you know they can get the sudden urge to groom themselves at just about any moment. Everything seems lovely and content. Then, they lose all interest in you and start licking their butt. A cat will be busy grooming themselves. Other cats can't be bothered and won't ever groom or lick their human friends, or other kitty friends for that matter. So, why do some cats lick their owners? Are they trying to clean you, too? We asked an animal behaviorist and cat expert to help us sort out exactly what is going on when your cat licks you. For a mother cat, grooming is an important part of child rearing. When a mama cat licks her kittens it serves two important purposes: keeping her kittens clean and promoting social bonds, Kristyn Vitale, an animal behaviorist at Maueyes Cat Science and Education tells . On the one hand, "mother cats are going to groom their kittens to help keep them clean and healthy," says Vitale. Kittens can be especially susceptible to diseases, and "anybody who's raised young kittens knows how dirty they can get, and a mother cat is not going to obviously bathe their kitten in a tub.

Here's a nice little distraction from your workday: Head to Google, type in any made-up phrase, add the word "meaning," and search. Google's AI Overviews will not only confirm that your gibberish is a real saying, it will also tell you what it means and how it was derived. This is genuinely fun, and you can find lots of examples on social media. In the world of AI Overviews, "a loose dog won't surf" is "a playful way of saying that something is not likely to happen or that something is not going to work out." The invented phrase "wired is as wired does" is an idiom that means "someone's behavior or characteristics are a direct result of their inherent nature or'wiring,' much like a computer's function is determined by its physical connections."

Being attentive to task-relevant features can improve task performance, but paying attention comes with its own metabolic cost. Therefore, strategic allocation of attention is crucial in performing the task efficiently. This work aims to understand this strategy. Recently, de Gee et al. conducted experiments involving mice performing an auditory sustained attention-value task. This task required the mice to exert attention to identify whether a high-order acoustic feature was present amid the noise. By varying the trial duration and reward magnitude, the task allows us to investigate how an agent should strategically deploy their attention to maximize their benefits and minimize their costs. In our work, we develop a reinforcement learning-based normative model of the mice to understand how it balances attention cost against its benefits. The model is such that at each moment the mice can choose between two levels of attention and decide when to take costly actions that could obtain rewards. Our model suggests that efficient use of attentional resources involves alternating blocks of high attention with blocks of low attention. In the extreme case where the agent disregards sensory input during low attention states, we see that high attention is used rhythmically. Our model provides evidence about how one should deploy attention as a function of task utility, signal statistics, and how attention affects sensory evidence.

Between humans, a kiss on the mouth or cheek is a clear signal of warm feelings. There's no single definitive answer, though canine cognition experts have theories. "If we want to distill it down to one thing, it's communication," says Ellen Furlong, an associate professor of psychology and neuroscience at Transylvania University in Kentucky, where she studies dog behavior. Dogs are highly social and well-attuned to humans. If a pup is interacting with you, it's often with purpose.

This study investigates ChatGPT-4o's multimodal content generation, highlighting significant disparities in its treatment of sexual content and nudity versus violent and drug-related themes. Detailed analysis reveals that ChatGPT-4o consistently censors sexual content and nudity, while showing leniency towards violence and drug use. Moreover, a pronounced gender bias emerges, with female-specific content facing stricter regulation compared to male-specific content. This disparity likely stems from media scrutiny and public backlash over past AI controversies, prompting tech companies to impose stringent guidelines on sensitive issues to protect their reputations. Our findings emphasize the urgent need for AI systems to uphold genuine ethical standards and accountability, transcending mere political correctness. This research contributes to the understanding of biases in AI-driven language and multimodal models, calling for more balanced and ethical content moderation practices.

It has always been an important yet challenging problem to control language models to avoid generating texts with undesirable attributes, such as toxic language and unnatural repetition. We introduce Click for controllable text generation, which needs no modification to the model architecture and facilitates out-of-the-box use of trained models. It employs a contrastive loss on sequence likelihood, which fundamentally decreases the generation probability of negative samples (i.e., generations with undesirable attributes). It also adopts a novel likelihood ranking-based strategy to construct contrastive samples from model generations. On the tasks of language detoxification, sentiment steering, and repetition reduction, we show that Click outperforms strong baselines of controllable text generation and demonstrate the superiority of Click's sample construction strategy.

Robotic killers that detect feral cats, spray their fur with poison and rely on them to essentially lick themselves to death have been deployed in the Australian desert for the first time. Feral cats are one of the biggest threats to many of Australia's endangered species, killing millions of animals every day throughout the country – and controlling them has proved difficult. It took John Read, an ecologist seven years to invent and produce four of the "grooming traps". After extensive testing, he has switched on the first one in a nature reserve in south-west Queensland. "Cats are hard-wired to hunt," Read said.