If you cant tell the difference, there is no difference

Shelly Palmer argues that Artificial creativity is not required to fulfill a growing range of production requirements in marketing content that is designed for efficiency and impact, and not necessarily judged on creative excellence. Generative AI is already doing a pretty good job of mimicking what we can fairly label, “average human creative output,” which is neither inspired or magical or truly creative. This is extremely bad news for people who do rule-based work in creative fields (such as setting type, sizing images, color grading, mixing, proofing, rudimentary editing, Said differently, no one should confuse creativity with execution. Most workers in the creative arts do not create, they technically execute someone else’s creative vision.

To that end, generative AI systems are improving their execution capabilities exponentially. Which means, deploying AI content production workflows isn’t just a matter of staying competitive—it’s an imperative. After all, if the audience can’t tell the difference, for all practical purposes, there is none.

The debate over AI and its role in creative industries often centers on one question: Can AI ever be as creative as humans? While it’s tempting to philosophize about inspiration and ingenuity, this line of inquiry misses a crucial point for anyone tasked with making practical decisions about content creation: If the audience can’t tell the difference between AI-generated and human-generated content—or if they don’t care—then, for all practical purposes, there is no difference.

Read more: Shelly Palmer

How to create Authentic looking AI- Art: A primer

AI tools can provide excellent results, but their output is only as good as the prompts they are given. The more detailed your prompts are, the better to help these AI tools produce images. Prompts serve as your instructions to AI tools, instructing them on what to generate, whether it is text, automated tasks, or images. Providing explicit cues is critical to attaining the intended result. Including precise aspects like the primary topic, colors, orientation, and backdrop ensures that the AI catches your vision correctly. Crafting precise prompts is a key ability that allows you to direct the AI to produce predictable and accurate outcomes, successfully bringing your visual concepts to life.

Read more: EweekEarly Adopters Are Ditching Google Search for AI Chatbots

Some users are shifting from traditional search engines like Google to AI chatbots like Perplexity and ChatGPT to find information. These early adopters value the quick, direct answers provided by chatbots, with some even willing to pay for premium services. Although still a niche behavior, this trend may disrupt how people search for information online and challenge Google's search dominance.

Key Takeaways:

• AI chatbots offer a different search experience, providing direct answers instead of lists of links.

• This trend could disrupt Google's search business and the role of advertising on the internet.

• Despite potential inaccuracies ("hallucinations"), early adopters are willing to pay for the convenience and time-saving benefits of AI chatbots.

Read More: Bloomberg

The Cognitive Cost of AI

This article explores the evolving landscape of management in the age of generative AI. While acknowledging the immense potential of AI tools to democratize knowledge and boost efficiency, it also highlights the challenges and "mind tax" associated with sifting through abundant AI-generated content and implementing real-world changes. The author emphasizes the enduring importance of human relationships and trust-building in this new era, suggesting a shift towards more strategic and creative collaboration.

Read More: Fast Company