Research suggests that developing diverse disciplines fuels creativity and productivity. For example, studies show Nobel Prize-winning scientists are about 25 times more likely to sing, dance, or act than the average scientist, 17 times more likely to create visual art, 12 times more likely to write poetry, and four times more likely to be a musician. Talk about multi-faceted over-achievers.
Experts believe it stems from cross-pollination. Ideas from one discipline can inspire another. World-renowned chef Massimo Bottura, for instance, has said that art inspires his Michelin-starred cooking. What’s more, shifting mental gears can give your brain a much-needed rest, clearing the space for creative breakthroughs.
I could not have said it better. Here is a link to the full article.
New research on large language models suggests LLMs are exhibiting certain human-like qualities (notably how it is organizing information geometrically and conceptually). If this is true, how we prompt a generative AI system might also need to change. If it responds well to more abstract, metaphorical or conceptual prompts, that would imply we need people who can think like this.
Whether or not you accept the premise that some LLMs are developing in this way, we still have our own experiences using generative AI and know that the creative possibilities appear to be endless. It might, therefore, be a good time to ask ourselves if, indeed, we are entering the age of the “creative generalist.”
This is something that Daniel Pink suggested in his 2006 book A Whole New Mind when he said that in the future, there might come a time when we need more “right brained” individuals to piece together all the disparate technologies in sensible, meaningful ways. In such a world, vision, philosophy, history, art, morality, ethics and musical knowledge, might hold a place equal to that of the engineer, scientist or technologist. The question is, is anyone else noticing this shift? Are people seeing the potential? Are companies making strides to bring in systems thinkers, philosophers and ethicists into their AI departments? Are schools of liberal arts taking note and adjusting the curriculum?
Should we, for example, make changes at schools and universities such that AI is not taught merely as an extension of computer science, but is taught in schools for the liberal arts?
Certainly, there are many examples we can look at. One that immediately comes to mind is the creative use of datasets. For example, something that I’ve started looking into as an AI content strategist, is to load datasets of personality and intelligence inventories, like Myers-Briggs and Gardner’s multiple intelligences and then ask the AI to help me better understand the audience or a company in terms of how they are more likely to process information. Other things come to mind too such as training AI on a piece of music like the Finale to Shostakovich, Symphony no. 7 and then asking it to translate that into an equally powerful conclusion to a piece of writing. What about a sustainable business model that resembles a natural process like photosynthesis or documenting the the ecosystem of a forest and modeling the design of a community college in this way. These are all things, by the way, that AI can do right now.
I asked GPT4o: “If certain LLMs are organizing information more geometrically and conceptually, is there a good argument for recruiting more people with creative, conceptually minded brains into the field? Should we, therefore, make changes at schools and universities such that AI is not taught merely as an extension of computer science, but is taught in schools for the liberal arts.”
It replied:
The research paper, The Geometry of Concepts: Sparse Autoencoder Feature Structure, suggests that large language models (LLMs) are organizing information in ways that resemble the functional and structural organization of the human brain. By analyzing the geometry of sparse autoencoders (SAEs), the authors found three levels of conceptual structure: (1) “atomic” small-scale structures, such as parallelograms and trapezoids that encode relationships (e.g., man:woman::king:queen); (2) “brain-like” intermediate-scale modularity, where clusters of related concepts, like math and code, form localized “lobes” similar to those in neural fMRI images; and (3) “galaxy-scale” large-scale structures, where the overall feature space exhibits non-random, fractal-like clustering and power-law eigenvalue distributions. These findings indicate that LLMs are more than linear systems — they are evolving toward complex, hierarchical representations of knowledge, akin to human cognition.
This research has implications for how we approach AI development and education. If LLMs are creating conceptually rich and geometrically organized knowledge spaces, there is an argument for involving more creative, interdisciplinary thinkers — those trained to recognize patterns, connections, and abstract relationships — in the field. This could mean recruiting individuals from liberal arts, philosophy, and design backgrounds, alongside traditional computer scientists. Moreover, it raises the question of whether AI should be taught differently, not just as a technical discipline but as a conceptual, creative practice. Perhaps universities should integrate AI into liberal arts programs, encouraging the development of “creative generalists” who can bridge conceptual thinking and technical expertise. This shift might not only enrich AI research but also lead to more intuitive and human-centered prompt engineering, better suited to the conceptual landscapes LLMs are now navigating.”
Perhaps we have entered the age of the creative generalist.
If you’ve made it this far, you are a good candidate to learn about an upcoming presentation and discussion. On December 21st, I will explore this topic and why I believe there is a good opportunity for creatives, generalists and especially “hyper-generalists” to enter the field of generative AI.
For a deeper exploration of this topic, please see the following:
Could AI demonstrate all the ways that it is not being used? Could it find solutions for some of the biggest problems in the world, like what is happening in Ukraine or Israel, for example? Would it understand what I meant when I said that music might help us to communicate things in the world where language fails?
Before I decided to make the video public, I shared this with a colleague in education. Her response made me realize there is some deeper potential in generative AI than most people realize. In fact, I’m going to include her whole response because when you’re out here experimenting, it’s great to get this kind of validation and I am truly thankful for this.
Note: she agreed to let me share this anonymously.
G’morning Lee ☀️ Thank you so much for sharing your rough cut! 🤓
I was unaware that we were at this level of AI, and the example of its application to “discuss” world issues is nuts. I fully understand the vital importance of prompt engineering. You are a master.
The other lightbulb moment for me was regarding the expansion of knowledge you offered to be considered went beyond humanity to nature. I just believe so strongly that the inclusion of knowledge beyond our 5 senses is critical to world peace. Opening to the natural world brings us to the root and the once strong connection to the beginning of human-hood and connection to each other and that which connects us all. It is who we really are-spiritual beings living a human existence for a short while. Nature is the path to the spiritual. This is what indigenous cultures exemplified, and that which our greed and ego bastardized.
You were also right on in terms of trauma responses. That is the work of Dr. Gabor Mate (Where Olive Trees Weep) and included discussions amongst his other work. The understanding that we are all acting out our trauma and what we can do. SO much rests on our ability to examine ourselves; our thoughts, biases, justifications, and behaviors.
To include all of these aspects into this AI tool and knowing this is just the start -wow!
Here’s what I’ll offer for consideration: I found that I was initially so wowed by what the AI was offering and its ability that when I actually really cued in and listened for solutions offered, there wasn’t much more there than what you had originally prompted. It summarized and/or restated differently without saying much more. I’m sure that will improve over time but it was my one-time observation.
I say thanks, and there’s a reason the AI acted this way. The reason it did this is that it had been instructed to perform this in the very first sentence, i.e. “can you put this together into a coherent narrative?”
But, she is right in that I was never refuted. The premise was accepted easily. No push back. had the prompt been, “discuss this issue with me as though you are professor or professional journalist or television news host” that would have been a lot different.
Another friend said this:
I watched the whole thing. The music is cool. While I understand your friend’s observation that ChatGPT isn’t necessarily adding new insights, it’s still impressive that it can handle this level of complexity (and with a voice interface, no less). I also like the fact you can interrupt/redirect it midstream to augment your prompt.
The real test, and perhaps my next video segment, will be to see what it does when asked to provide counter arguments or to go into more of a dialogue or discussion mode. Will we have to wait for AGI for that? I’ll find out soon.
If you are curious to know how this will become part of my Summer workshop, you can visit the slideshow here.
If you are interested in setting up a similar workshop, please sign up on my Calendly page.
Take a look at my FlowGPT page and you'll understand what I mean. Things are very different than just a year ago at this time. Not many people then were talking about ChatGPT, LLMs or generative AI. If you mentioned that you were a "prompt engineer," you would have received strange looks. But, it's all here now...and it's not going back in the bottle.
Most of what you see here, my FlowGPT page and elsewhere has been free to use for a long time.
Deep creativity takes work, a certain degree of anguish and a life time of trial and error.
Explore various courses offered by the AI Imagination Lab, ranging from introductory sessions to deeper dives and hands-on workshops into generative AI. Tailor your learning experience to your style and interests, collaborating with AI for creative breakthroughs.
Facts
Introduction to Generative AI: Live 50-minute session exploring AI's creativity, problem-solving, and productivity basics. Cost: $90. Prepay
A Deeper Dive Into AI: Two 50-minute sessions delving deeper into generative AI, focusing on prompt crafting and personalized use cases. Cost: $165. Prepay
The 4 Hour Hands-On Workshop: A full AI workshop for hands-on experience in crafting prompts and learning new tools. Prepay
I was a teacher and transitioned to project work and consulting. This created a problem that I was not fully prepared for. Sales! I mean, students show up in your class no matter what. Right? But clients? Yeah, that’s a tougher sale.
So, I started fiddling around with AI and figured out a way for GPT to take over that function. One problem (at least with ChatGPT) was that it would not insert links in the output or conversation. There was no way to transition someone out of the conversation to my Calendly or Stripe apps so they could sign up for my classes or pay for these services.
But, this morning… problem solved. Using the Poe AI platform and Claude, it worked like a breeze. Take a look for yourself.
Now watch as I transition here into sales (haha) — if you’d like some training on this or, perhaps, someone to build you a GPT like the one I created (for thousands less than what you’d normally pay), Sign up for some time here or contact me directly at lee@glidercell.com.
This was the first draft of a ChatGPT prompt, produced for a potential client - to show the ease of creating a job matching table. The prompt's purpose is to match job candidates with suitable positions based on customized criteria. It yields a percentage match in various categories.
This innovative tool allows employers to compare candidates effectively and enables job seekers to assess their compatibility before applying.
It seems we are now in a time predicted by Daniel Pink in his 2005 book A Whole New mind - when we would need creative people more than ever to create meaningful applications for various technologies. Every day, in fact, we see the impact of Artificial Intelligence (AI) as it subtly reshapes various aspects of our lives and it's now up to creative professionals to find imaginative, helpful and meaningful purpose for this incredible technology.
We can now offer enhanced services, create efficiency, and amplify our impact with AI.
Today, we invite you, the practitioners, to explore how AI surrogate prompts could revolutionize your practice.
The AI Revolution in Professional Services
GliderCell opens up a world of possibilities by offering AI surrogate prompts designed specifically for professionals. We envision offering our services to a wide range of occupations including writers, teachers, professors, attorneys, consultants, coaches, private fitness instructors, and business professionals among others. These prompts could facilitate a more engaging and effective client interaction as well as enable real-time feedback, aiding clients in making decisions and enhancing their confidence.
In the world of therapy, these prompts can echo the therapist's identity, providing a consistent line of support to clients. In other professions they can answer routine questions, saving precious time. In fitness coaching, they can assist in customizing workout routines tailored to individual client needs. In business consultancy, they can guide clients through complex decision-making processes, bolstering their confidence and decisiveness.
Beyond Assistance: Growth and Innovation with AI
But the potential of surrogate prompts extends beyond just assistance. They offer a unique opportunity for personal and professional growth. We offer workshops and classes to empower you with the skills to engineer your own prompts and explore various use cases. These workshops are crafted to foster curiosity, creativity, and the ability to ask the right questions - key skills for prompt engineering.
Our workshops also provide guidance on emotional and psychological training and help individuals navigate the evolving landscape of AI. We champion interdisciplinary learning and encourage professionals from various fields to explore prompt engineering. In doing so, we aim to empower you to offer enhanced services, unlock new revenue streams and leverage the transformative potential of AI.
Join Us: Shape the Future of Your Practice
The potential of surrogate prompts is boundless, limited only by our imagination. By integrating AI with the content and methods of various professions, we can redefine professional practice and client interaction. More than a tool, AI is becoming a strategic partner, creating efficiencies, adding value, and offering a competitive edge.
To explore our products, services, and pricing related to surrogate prompts, visit us at: https://www.glidercell.com/
Unleash the transformative power of AI in your practice. Join us today and shape the future of your profession.
Our service provides the use of AI surrogate prompts for professionals such as attorneys, accountants, consultants, coaches, private fitness coaches, business people and more.
How surrogate prompts can help in therapy and other helping professions
The surrogate prompts replicate the therapist's identity, providing continuous support to clients. They allow for the exploration of different modalities and provide real-time feedback to clients, helping them make decisions and feel more confident. Professionals can use the prompts to enhance their practice and offer additional services to clients. Workshops and classes are also available to teach prompt engineering, AI usage, and various use cases. By integrating AI and tapping techniques, we can bring about mindset shifts and support personal and professional development. Prompt engineering can also be used to create educational games, prompts for personal growth, and creative problem-solving.
How to get it
Contact us today to learn more about our workshops and classes. We emphasize curiosity, creativity, and the ability to ask the right questions as important skills for prompt engineering. Our workshops provide guidance, emotional and psychological training, and help people navigate the changing landscape of AI. We promote interdisciplinary learning and encourage individuals with different interests to explore prompt engineering. By using surrogate prompts, professionals can offer enhanced services and increase their income. Join us today and discover the transformative potential of prompt engineering and AI.
Other Use Cases
A therapist who uses surrogate prompts in their practice could inspire clients to be more engaged or connected to the therapy process. The real-time feedback provided by the prompts could help clients feel heard and understood, leading to better outcomes.
An accountant who uses surrogate prompts to answer common client questions might find that they are better able to save time and increase their revenue by offering additional services to clients. The prompts or "bots" might allow the accountant to provide more personalized support to clients, leading to higher client satisfaction and retention.
A private fitness coach who uses surrogate prompts to provide personalized workout routines might find their clients to be more motivated and consistent with their workouts. The prompts could help the coach tailor their approach to each client's unique needs and preferences, leading to better results and more referrals.
A business consultant who uses surrogate prompts to guide their clients through complex decision-making processes might find their clients to be more confident and decisive. The prompts could help the consultant provide real-time feedback and support, leading to better outcomes for their clients.
What about attorneys?
An attorney could use a surrogate prompt with ChatGPT or other LLM (Language Model) in a number of ways.
Here are a few examples:
Legal Research: An attorney could use a surrogate prompt to conduct legal research. By providing the model with a prompt related to a legal issue, the model could generate relevant case law, statutes, and other legal sources that the attorney could then review.
Contract Review: An attorney could use a surrogate prompt to review contracts. By providing the model with a prompt related to a specific provision or clause in a contract, the model could generate suggestions for edits or revisions to that provision or clause.
Drafting Legal Documents: An attorney could use a surrogate prompt to help draft legal documents. By providing the model with a prompt related to the type of document the attorney wants to draft (e.g., a will, a lease agreement, a complaint), the model could generate a rough draft that the attorney could then edit and refine.
Predicting Case Outcomes: An attorney could use a surrogate prompt to predict the outcome of a legal case. By providing the model with a prompt related to the facts of the case and the legal issues at stake, the model could generate a prediction of the likely outcome based on past cases with similar fact patterns.
Legal Chatbot: An attorney could use a surrogate prompt to build a legal chatbot. By providing the model with a set of prompts related to common legal questions or issues, the model could generate responses that the chatbot could then provide to clients or other users seeking legal advice.
Overall, the potential of surrogate prompts is only limited by our imagination. By integrating AI with the content and methods of various professions, professionals can effectively create "duplicates" of themselves and offer continuous support to clients, even when they are not physically present.
More information on products, services and prices related to surrogate prompts, please see: https://www.glidercell.com/
ChatGPT did a nice job of summarizing my 108 page graduate thesis paper. You can read more about this 7 year qualitative study here.
Summary
Lee L. Chazen's thesis titled "Thriving on the Edge of Chaos: An Argument for a Complex Adaptive Theory of Education" presents a case for the adoption of a complex adaptive system approach in the field of education, challenging the conventional scientific-deterministic model. His study found profound changes in student participation and higher order behavior when implementing a more fluid, laterally powered system, where the teacher acted more as a facilitator. These changes, he argues, lead to enhanced creative and critical thinking in students. The research underpins the argument with insights from emergence, chaos theory, complexity, and consilience.
Facts
📚 Chazen argues against the traditional scientific-deterministic model of education which, according to him, stifles curiosity, creativity, and potential for growth in both teachers and students. Instead, he proposes a complex adaptive theory of education.
📈 This work is a qualitative study that includes data from classroom observations, teacher and student notes, administrative evaluations, and various literature sources, over a seven-year period.
🔄 When Chazen changed his classroom structure from a hierarchical model to a complex adaptive system, he noted profound changes such as increased participation and complex higher order behavior among students.
🎓 The role of the teacher in this model shifts from an authoritative figure to a facilitator, acting as a feedback loop, creating a more inclusive, interactive learning environment.
⚙️ The research draws support from areas like emergence, chaos theory, complexity, and consilience, and finds many similarities between scientific phenomena and social behavior observed in the classroom.
🧪 Chazen suggests the idea that the second law of thermodynamics (everything is prone to entropy) can be overturned and that order can arise from chaos, an interesting point for further research.
See the new Global Challenge website for information about the game and how you can run this in your classroom.
How One 800-Word Mega-Prompt Could Replace Textbooks and Transform The Way Students Learn
San Francisco, CA - May 3rd, 2023 - As AI technology continues to advance at an unprecedented pace, the potential for systems like ChatGPT to revolutionize education has become increasingly apparent. In a recent episode of the ChatGPT & Prompt Engineering Podcast, educational game developer and prompt engineer Lee Chazen discussed the transformative potential of prompt engineering and AI generative language programs like ChatGPT.
Chazen's graduate research twenty years ago argued for a self-organized learning environment where students could create their own questions and answers, even building a game that would play out over the course of the year, covering all the material needed for the class. With ChatGPT, this vision can become a reality. Chazen revealed that only five to six well-crafted prompts can generate a year's worth of content and curriculum for a class, potentially replacing textbooks. He showcased an 800-word prompt that generates 400 multiple-choice and short-answer questions and answers, effectively dividing the recorded span of history into 20 sections of time, seven areas of knowledge, and six levels of learning. Additionally, teachers can insert various educational theories, e.g. Bloom’s Taxonomy or Gardner’s Multiple Intelligences such that one can cater to different learning styles.
Chazen leverages AI models like GPT-4 to generate engaging content for websites and social media, providing valuable insights for businesses, educators, and content creators. He believes that ChatGPT and other language models are mirrors of humanity, only as good or bad as the prompts we construct.
The ChatGPT and Prompt Engineering Podcast with Greg Schwartz is set to release the exclusive episode featuring Lee Chazen on Wednesday, May 3rd, providing state-of-the-art information on prompt engineering, ChatGPT, and other AI systems. Chazen reminds listeners that ChatGPT is a reflection of the digital information we have produced, and its potential is only limited by the quality of the prompts we construct.
