AI Tipping Point: Creativity, Credit and Coaching in the Age of Agents

Hey there Ai5ers,

This week, we explore the evolving landscape of generative AI — from art and authorship to productivity and personal growth. As AI pushes into new frontiers, the question isn’t just what it can do, but how we measure, shape, and share its impact.

Today's Ai5:

🧐 AI Art: The end of creativity or start of a new movement?
🔧 Life-Goals with your Growth Mindset AI Coach
😵 LLMs: Is Prompt Engineering Dead?
💰 The time has come to measure the results of AI
👏 Microsoft explores how to give credit

Prompt of the Day 🎨

PROMPT (ChatGPT/Dall-e): Use Dall-e to generate a fictional hybrid fruit combining features of a pineapple and an orange. For example, a liger is a hybrid animal. Ligers have features of both lions and tigers. The inside and outside of our fictional hybrid must combine feature of both the orange and the pineapple.

Challenge: Admittedly we can't get the LLM to combine/blend the inside and outside features of both fruits. Orange texture and slices on the inside and squatty pineapple on the outside is the typical reveal. Readers we ask you to "Crack the Prompt." Create a prompt producing a true looking hybrid and send your results to [email protected]. The winning piece will be recognized in an upcoming newsletter!

AI Art: The end of creativity or start of a new movement? 🧐

AI-created artworks are disrupting the accepted norms of the art world. As philosopher Alice Helliwell from Northeastern University London argues, if we can consider radical and divergent pieces like Duchamp's urinal and Tracey Emin's bed as art proper, how can something created by a generative algorithm be dismissed?

Throughout history, every radical artistic movement has been intimately connected to the cultural zeitgeist of the time, a reflection of society's preoccupations and concerns, like Turner and his industrial landscapes and Da Vinci's obsession with science and mathematics. AI is no different.

All art is a product of that which came before it, and creativity cannot come from nothing – all artists whether human, robot or algorithm, build upon the works of others.

Full artical by Claudia Baxter https://www.bbc.com/future/article/20241018-ai-art-the-end-of-creativity-or-a-new-movement

TOOL: Life-Goals with Your Growth Mindset AI Coach 🔧

Rocky.ai is an AI-powered personal development platform designed to support individuals in achieving their personal and professional goals. By leveraging artificial intelligence, it offers daily mindset coaching, goal tracking, and personalized development plans to foster a growth mindset and continuous self-improvement.

In addition to individual coaching, Rocky.ai offers white-label solutions, enabling coaches, trainers, and organizations to create their own AI-driven coaching programs. This feature allows professionals to scale their services and provide personalized coaching experiences to a broader audience.

Free Plan: Provides unlimited coaching on topics like Positive Mindset or Discipline. This plan is free forever.

Premium Plan: Includes unlimited coaching across all soft skills and topics, access to articles, and personal development plans. Pricing starts from $9.99 per month when billed monthly.

https://www.rocky.ai/

LLMs: Is Prompt Engineering Dead? 😵

The rise of increasingly sophisticated AI models like GPT-4, LLaMA and beyond (LLMs) has given birth to an entire field known as prompt engineering. Prompt engineering involves crafting effective input prompts to elicit desired outputs from language models, and it has grown to be an essential skill in optimizing AI performance. However, as AI capabilities evolve, one pressing question arises: Is prompt engineering on the brink of extinction?

Tools like AutoGPT and BabyAGI represent the next step in AI evolution, autonomous agents that can interpret high-level goals and independently determine how to accomplish tasks. These agents are capable of recursive prompt generation, meaning they create, evaluate and refine their own prompts without human intervention.

Prompt engineering’s future is likely one of transition rather than extinction. As models improve in understanding and interacting through natural language, the need for users to learn prompt engineering will diminish. It may become an advanced tool used primarily by specialists who need precise control over AI outputs.

IMPORTANT: “For most users, interacting with AI will become as simple as talking to another person — no special techniques required. However, for those pushing the boundaries of what AI can do, prompt engineering will remain a useful tool to extract nuanced responses that align perfectly with specific requirements.”

Full article on Medium by Code and Theory https://medium.com/code-and-theory/the-future-of-prompt-engineering-evolution-or-extinction-2a74f183fae1

The time has come to measure the results of AI 💰

One of the reasons why everybody is excited about agents is that as of 2024, it has still proved difficult to demonstrate economic value from generative AI.

Companies shouldn’t take such confidence on faith. Very few companies are actually measuring productivity gains carefully or figuring out what the liberated knowledge workers are doing with their freed-up time.

We seem to be realizing that generative AI is very cool but doesn’t change everything, specifically long-term cultural attributes.

Generative AI has had another impact on organizations: It’s making unstructured data important again. In the 2025 AI & Data Leadership Executive Benchmark Survey, 94% of data and AI leaders said that interest in AI is leading to a greater focus on data.

Full article by Thomas H. Davenport and Randy Bean https://sloanreview.mit.edu/article/five-trends-in-ai-and-data-science-for-2025/

Microsoft explores how to give credit 👏

AI-powered text, code, image, video, and song generators are at the center of a number of IP lawsuits against AI companies. Frequently, these companies train their models on massive amounts of data from public websites, some of which is copyrighted.

Microsoft itself is facing at least two legal challenges from copyright holders.

Microsoft’s new research effort, which the listing describes as “training-time provenance,” reportedly has the involvement of Jaron Lanier, the accomplished technologist and interdisciplinary scientist at Microsoft Research.

“A data-dignity approach would trace the most unique and influential contributors when a big model provides a valuable output,” Lanier wrote. “For instance, if you ask a model for ‘an animated movie of my kids in an oil-painting world of talking cats on an adventure,’ then certain key oil painters, cat portraitists, voice actors, and writers — or their estates — might be calculated to have been uniquely essential to the creation of the new masterpiece. They would be acknowledged and motivated. They might even get paid.”

Full article by Kyle Wiggers https://techcrunch.com/2025/03/21/microsoft-is-exploring-a-way-to-credit-contributors-to-ai-training-data/