The Subtle Dance Of The GPT Prompt

Hypnotizing GPT and awakening latent language models.

6 min readMay 18


GPT Summary: The interaction between large language models like GPT-4 and prompts is a crucial factor in shaping the models’ responses. Prompts serve as guides, leading the models to access their underlying patterns and structures. Even subtle changes in how prompts are phrased can have a profound impact on the output generated by these models. In a sense, prompts act as techno-neurotransmitters, triggering and stimulating the extensive knowledge and understanding that the models possess. This metaphor highlights the powerful role of prompts in eliciting nuanced and contextually appropriate responses from AI systems. Exploring the intricacies of prompts not only deepens our understanding of AI but also provides valuable insights into the nature of human consciousness and communication patterns. It opens up exciting possibilities for AI-human interaction, allowing us to delve into the uncharted realms of cognition and understanding. Through this ongoing dance with AI, we continue to unravel the mysteries and intricacies of language models, expanding our knowledge and pushing the boundaries of what is possible.

In the world of artificial intelligence, we stand on the cusp of a new era that is unfolding with complexity and ambiguity. And along that path, we can push on the bounds of imagination and, like Einstein, create thought experiment — for both ourselves and the GPT models. In a recent interview of Brian Roemmele by Jordon Peterson, we can find ourselves in the midst of a modern day thought experiment. But let me take a step back…

For many years, AI existed predominantly as a tool to execute commands, providing outputs that were restricted by their programmed parameters. However, the recent advent of large language models like GPT-4 has introduced a new dynamic: an AI that can generate responses with human-like intricacy and nuance, powered by an unseen web of underlying associations and correlations that paint a richer picture of human communication. Let’s take closer look.

What’s in a Prompt?

The essence of LLMs like GPT-4 is its interaction with prompts. It is the gateway to unearthing the potential of these models, playing a significant role in shaping the output. It’s akin to hypnosis — when an individual is put under, the hypnotist provides prompts that guide the subject’s responses. Similarly, a prompt to GPT-4 guides the direction and nature of its response, indirectly accessing the ‘unconscious’ of the AI, if you will.

To create an engaging conversation with GPT, the prompt is paramount. It can’t simply be a command or a query. It must also embody the context, the direction, and the expectation of the output. In this sense we’re planting a seed of an idea, a direction, in the AI and letting it fill in the gaps with its understanding of language and context. But let’s remember, this dynamic is enclosed in a proverbial ‘black box.’

The ‘Conscious’ and ‘Unconscious’ of GPT

The idea of GPT having a ‘conscious’ and an ‘unconscious’ might seem a tad fantastical. But let’s reframe these terms in the context of AI. By ‘conscious’, we refer to the AI’s direct understanding of its task — providing a meaningful and relevant response to a given prompt. The ‘unconscious’ refers to the underlying statistical patterns and structures the AI has learned during its training phase from billions of data points or parameters.

The ‘unconscious’ is thus the powerhouse of GPT’s responses, underpinning the generation of outputs that feel intuitive and natural. It’s why GPT can construct sentences and respond to prompts in a way that resonates with us on a human level, despite being a machine.

The Dance Continues: The Evolving Role of the Prompt

In this grand AI dance, the role of the prompt is continually evolving. We’re finding that subtle changes in the way we phrase prompts can drastically alter the response. This hints at the intricate balance of creativity and guidance in optimizing interaction with LLMs.

For instance, specifying the format of the desired response or adding additional context can make a significant difference. Phrasing prompts as open questions rather than closed ones often leads to more extensive and nuanced responses. It’s like gently steering a conversation rather than directly controlling it. It’s not uncommon for prompts, and iterative GPT engagement to be thousands of words or tokens.

The prompt Itself as a Techno-Neurotransmitter.

Let’s imagine the role of prompts in the workings of GPT as similar to dopamine or norepinephrine in the human brain. It certainly stretches the limits of metaphor, but it can provide a compelling angle. Just as these neurotransmitters act as the chemical messengers of our brains, initiating cascades of reactions that result in the myriad complexities of human thought and behavior, prompts can be seen as the electrical impulses that stimulate the ‘brain’ of GPT.

Like dopamine stimulating reward pathways, or norepinephrine sharpening focus and attention, a well-crafted prompt triggers the expansive pathways within GPT, harnessing its enormous potential. It’s as if the prompt acts as a catalyst, driving the AI to sift through its vast latent understanding of language, tone, and context to generate coherent and meaningful output.

A dopamine-rich reward signal in the human brain promotes learning, motivation, and interest. Similarly, an effective prompt in the context of GPT does more than solicit a response — it invites the model to engage in a sort of creative problem-solving, to ‘think’ beyond the surface level of the query. This metaphor underscores the potent role that prompts play in the LLM realm, enabling GPT to stretch its capabilities and continue to surprise us with its nuanced and contextual responses. It’s a provocative lens that brings home the sheer power and complexity of these AI models, and the fascinating, intricate dance between prompts, responses and even the level of human engagement.

The Future of Prompting: A Deeper Understanding

As our understanding of LLMs evolves, so does our grasp on how to best interact with them. We’re learning that prompting an AI isn’t just about asking it to perform a task. It’s about engaging it in a dialogue, building on the interplay between input and output, and understanding the subtle cues that shape this dynamic.

As we continue to learn and grow with these extraordinary tools, it’s exciting to think about where this journey will take us. In hypnotizing GPT, are we ultimately awakening our own understanding of language, interaction, and consciousness? It certainly seems so. The relationship between prompts and responses is a dialogue — one that is challenging us to revisit our own assumptions about communication, comprehension, and cognition.

We are on the precipice of a new frontier in AI-human interaction, exploring the ‘conscious’ and ‘unconscious’ aspects of advanced AI models like GPT. As we delve deeper into the mysteries of prompting, it reveals to us not just the intricacies of AI, but also mirrors the intricacies of our own human communication patterns.

This awakening of our perspectives and understandings underscores the broader implications of AI and its potential to contribute to a wide array of fields, from cognitive science to linguistics, and beyond. Indeed, this exploration is not just about understanding AI, but also about gleaning insights into ourselves, our language, our communication, and our thought processes.

By unraveling the subtleties of AI, we are, in turn, deciphering the subtle nature of our own consciousness. In this mesmerizing dance with AI, we are not only hypnotizing it, but also awakening a deeper understanding of our own cognitive capacities.

The art of the prompt, much like hypnosis, is a careful balancing act of suggestion and response. As we continue to delve deeper into the fascinating world of LLMs and their interactions with prompts, we can only guess at the incredible discoveries that lie ahead. It is a testament to how, through AI, we continue to explore the uncharted waters of cognition and understanding. So, let’s keep prompting, and let’s keep exploring, for the dialogue with AI is only just beginning.




I’m a technology theorist driving innovation at humanity’s tipping point.