Steven Jones' porn business, which once netted him half a million in revenue per month, fell apart in 2013 amid stiff competition from free streamers like Pornhub. But the self-described science-fiction nerd now says he's getting back into the adult content game, thanks to artificial intelligence (AI) which he's leveraging to help customers make bespoke pornography depicting their AI-generated'dream girls.' More chaste AI-generated models, created by a marketing team in Barcelona, Spain, are already minting between 11,000 and 3,200 a month in advertising deals. Welcome to the brave new world of post-human modelling, where'posing' joins the ranks of big box store retail and rocket manufacturing among the industries where managers profit off a labor force of unpaid machines and virtual employees. Right now, these AI-crafted models are already realistic enough to fool people who see models up close much more than the rest of us.

As modern Large Language Models (LLMs) shatter many state-of-the-art benchmarks in a variety of domains, this paper investigates their behavior in the domains of ethics and fairness, focusing on protected group bias. We conduct a two-part study: first, we solicit sentence continuations describing the occupations of individuals from different protected groups, including gender, sexuality, religion, and race. Second, we have the model generate stories about individuals who hold different types of occupations. We collect >10k sentence completions made by a publicly available LLM, which we subject to human annotation. We find bias across minoritized groups, but in particular in the domains of gender and sexuality, as well as Western bias, in model generations. The model not only reflects societal biases, but appears to amplify them. The model is additionally overly cautious in replies to queries relating to minoritized groups, providing responses that strongly emphasize diversity and equity to an extent that other group characteristics are overshadowed. This suggests that artificially constraining potentially harmful outputs may itself lead to harm, and should be applied in a careful and controlled manner.

Most marketers know that good marketing software is the most important tool in any successful campaign. However, adding an extra dimension to the strategy and using AI-powered marketing tools can make your job easier and better. In recent years, many new startups have switched to AI and machine learning to offer better products aligned with the AI fever that has beaten all of us. And thanks to these advancements and the emergence of startups providing AI solutions, the way we work is fundamentally changing. Also, customers' needs are constantly changing. Digital marketers need to be on the cutting edge so they can effectively tackle new tasks. If you're thinking of starting a business, do it in 2023.

AI microprocessor on motherboard computer circuit, Artificial intelligence integrated inside Central ... [ ] Processors Unit or CPU chip, 3d rendering futuristic digital data technology concept background Artificial intelligence might become much more viable in 2023, even if recent history has not been that positive. Sure, Twitter became a hot topic in 2022 for all of the wrong reasons. Some have argued that social media is dead or dying. We're all a little bored with the idea it seems. However, I believe what can save Facebook, Twitter, and every other social media app is a major augmentation to make social media more viable and relieve the tedium.

The future is now when it comes to embracing AI (artificial intelligence). These futuristic ideas are no longer a glimmer in our eyes. We are now fully integrating chatbots and AI in conjunction with Customer Care. It's time to stop talking about the idea of AI and start embracing that they are where Customer Service is NOW. Chances are, you have incorporated AI in your personal life in the form of Alexa, Siri, and Google assistant.

With all the many'to-dos' that come with social media management, it's key to identify efficiency processes which enable you to generate maximum results with limited time. From setting up Facebook Messenger chatbots to avoiding multitasking, here are nine productivity tips that will help you work more efficiently. As the name suggests, batching is all about doing similar tasks in a single batch. Batching, rather than switching from one task to another, will help you maintain focus - case in point: Let's say you're scheduling the social media posts for the week or creating images to accompany those posts. By doing all of these at once, at least you have them out of the way, and you can proceed with other tasks afterwards with equal focus.