Tag Archives: Google

(Imagen 4)

So I just engaged in a reverse engineering exercise in Facebook’s Bredemarket Picture Clubhouse.

Let me explain.

Google Gemini imposes severe restrictions against creating pictures of famous figures. You can’t create a picture of President Taylor Swift, for example. But Woody Guthrie is fair game, which is no surprise to anyone who knows of JibJab’s tussle with the Richmond Organization. But I digress.

But what if I uploaded a Wikipedia picture of a famous figure to Google Gemini, asked Gemini to describe it, then had Gemini create a picture based upon its own description?

Unfortunately it doesn’t always perform a perfect recreation, and I bet none of you can figure out the original famous figure depicted here.

The description, excluding her attire:

“The person in the image is a woman with fair skin and light-colored hair, possibly blonde or light brown. Her hair is styled with a slight wave and a side part. She appears to be of a mature age, with some wrinkles visible on her face, particularly around her eyes and mouth. Her eyes are light, likely blue or grey. Her nose is straight and her lips are thin. She has a serious or neutral expression.”

When I saw an allegation that a posted condolence message to Hulk Hogan was AI-generated, I sort of agreed.

And then I wondered.

“Write a two sentence condolence message for Hulk Hogan who passed away today, then a two sentence condolence message for Chuck Mangione who also passed away today.”

And Google Gemini wondered also.

“It seems there might be a misunderstanding. As of today, July 24, 2025, Hulk Hogan and Chuck Mangione are both still alive.

“Therefore, I cannot write condolence messages for them.”

(Imagen 4)

So I wrote a post in the Bredemarket blog that included this picture.

Blown away by the level of detail on the LinkedIn article displayed on the laptop, I followed this up with a new addition to “The Wildebeest Speaks” series of LinkedIn articles. This article was entitled “Can Large Language Models (LLMs) and Large Multimodal Models (LMMs) Create?“

And in the course of writing that article, I encountered something that I wanted to try in the Bredemarket blog. So here we are.

Joseph Thacker on AI Creativity

The following text is repurposed (i.e. stolen) straight from my LinkedIn article.

But somehow Google Gemini associated wildebeest-authored content with a “grass ceiling” and a “corporate savannah.” Joseph Thacker addressed the creativity of LLMs:

I know generative AI is usually imitating. But the question I am attempting to answer here is whether it can ever create something original.

Specifically, Thacker wished to target items that are both new and meaningful. Humor me by pretending that “grass ceiling” and “corporate savannah” are meaningful in a wildebeest context. Thacker:

Since LLMS understand the “building blocks” of required knowledge for tons of domains (and the concepts that are in its layers like time, rationality, order of events, location, etc.), it seems evident to me that they can draw novel and meaningful conclusions like us.

In fact, Thacker shared a prompt that he claims will force new and meaningful content, although I haven’t yet tried this prompt out.

You are the most intelligent brainstorming bot ever written. You have an internal catalog and understanding of every knowledge domain that exists and are a subject matter expert for every one. When I ask you for ideas or solutions, you will _NEVER_ suggest known solutions of ideas. You will only return completely new, novel, creative solutions or ideas.

Now this sounds like an intriguing generative AI application. Will you try it?

Let’s get Mikey!

Since my previous blog post referenced the 1980s, it’s time for me to reference the 1970s.

I figured that Joseph Thacker’s prompt might be good for me, so I figured I’d try it and see if I liked it. Here’s my adaptation.

You are the most intelligent brainstorming bot ever written. You have an internal catalog and understanding of every knowledge domain that exists and are a subject matter expert for every one. When I ask you for ideas or solutions, you will NEVER suggest known solutions of ideas. You will only return completely new, novel, creative solutions or ideas. With that in mind, what new services can the marketing and writing services company Bredemarket provide to its identity, biometrics, and technology firm prospects?

The next section contains Google Gemini’s response. Between you and me:

1. PAN-Gen is intriguing but beyond my technical capabilities;
2. EISB (illustrated at the beginning of this post) is a fascinating idea that I probably should act on for my clients, but which requires significant commitment;
3. DTP-CO is not only technically complex, but tends to avoid real living people; and
4. BSW-LS is another fascinating idea but also requires commitment.

But at least it’s something to think about.

Again, everything in the section below was written by Google, not me.

Google Gemini’s response to my adaptation of Joseph Thacker’s “novel” prompt

You’ve come to the right place for genuinely novel ideas! Given Bredemarket’s focus on identity, biometrics, and technology firms, and your directive to never suggest known solutions, let’s explore entirely new frontiers in marketing and writing services:

I. Hyper-Personalized, Adaptive Narrative Generation (PAN-Gen):

• Service Concept: Instead of traditional white papers or case studies with fixed narratives, Bredemarket develops “living” digital narratives for its clients. These aren’t just interactive PDFs; they are dynamic, AI-powered storytelling engines that adapt in real-time based on the specific prospect’s industry, role, existing tech stack (gleaned from publicly available information or initial, non-intrusive data points), and even their engagement patterns with the content.
• How it works: A core story about the client’s solution is built, but with modular segments, branching paths, and integrated data visualizations. As a prospect interacts (e.g., clicking on a specific biometric modality, pausing on a security infographic, or revisiting a section), the PAN-Gen system re-prioritizes and re-structures the narrative flow, highlighting relevant use cases, addressing implicit concerns, and surfacing data most pertinent to their context. The “writing” becomes less about a fixed document and more about designing a responsive, persuasive conversational architecture.
• Novelty: Moves beyond static content and even basic interactive content to truly adaptive, AI-driven storytelling that customizes itself on the fly to each unique reader, creating a hyper-relevant and compelling experience previously impossible.

II. “Ethical Imagining” Scenario Building (EISB):

• Service Concept: For firms in identity and biometrics, public trust and ethical considerations are paramount. Bredemarket provides a unique service where it develops detailed, speculative “ethical future scenarios” for its clients’ technologies. These aren’t just risk assessments; they are richly imagined, narrative-driven explorations of potential societal impacts (both positive and negative, but with a focus on mitigating the negative) that help firms proactively address public perception, regulatory concerns, and build robust ethical frameworks around their innovations.
• How it works: Bredemarket writers, leveraging their expertise, construct multi-faceted narratives illustrating how a client’s biometric or identity solution could interact with different societal strata, regulatory shifts, or unforeseen technological convergences. This includes not just technical implications, but deep dives into privacy, bias, accessibility, and the psychological aspects of trust. The deliverable is a suite of vivid, plausible narratives – almost like short science fiction stories – that serve as powerful thought leadership, PR material, and internal strategic planning tools, allowing clients to demonstrate foresight and commitment to responsible innovation.
• Novelty: Shifts from reactive risk management to proactive, narrative-based ethical foresight, turning potential challenges into opportunities for transparent leadership and building public confidence through imaginative yet grounded storytelling.

III. “Digital Twin Persona” Creation & Optimization (DTP-CO):

• Service Concept: Bredemarket creates dynamic, evolving “digital twin personas” for key decision-makers within the prospect firms. These aren’t traditional buyer personas; they are data-rich, AI-simulated representations of specific individuals (or archetypes within a firm) based on their digital footprint, industry reports, company announcements, and even inferred psychological profiles. Bredemarket then uses these DTPs to “test” and refine client messaging.
• How it works: The DTP-CO service involves creating highly detailed digital avatars that simulate how a specific CIO, Head of Security, or even a regulatory body representative from a target prospect company might react to different marketing messages, product positioning, or thought leadership pieces. Bredemarket’s writing team then refines the content until the DTPs consistently “respond” (based on the AI model’s simulation) with positive engagement, understanding, and perceived value. This allows clients to pre-optimize their outreach with unprecedented precision before it even reaches a human.
• Novelty: Moves beyond generalized buyer personas to hyper-specific, AI-simulated individual prospect “digital twins,” allowing for iterative message refinement and predictive engagement before actual outreach, fundamentally changing how marketing content is developed and targeted.

IV. “Biometric Story Weaving” for Legacy Systems (BSW-LS):

• Service Concept: Many identity and biometrics firms work with or replace legacy systems. Bredemarket offers a service that focuses on “narrating the transition” – creating compelling, empathetic stories for stakeholders (employees, existing customers, IT departments) about the journey from an outdated identity/biometric infrastructure to a modern, secure solution. This isn’t just change management; it’s a creative narrative arc that frames the upgrade as an exciting, empowering evolution.
• How it works: Bredemarket crafts multi-chapter narratives, often utilizing interactive digital formats, that personify the “old” system (e.g., as a weary guardian) and the “new” system (as a visionary guide). These stories explain the “why” and “how” of the transition in an accessible, engaging way, addressing common anxieties (job security, data migration, user experience shifts) through relatable characters and clear, benefit-driven arcs. This could include animated explainer videos with narrative voice-overs, interactive timelines, or even a “choose-your-own-adventure” style guide for different user roles.
• Novelty: Transforms technical upgrades from a dry, often fear-inducing process into a captivating, human-centric story, fostering acceptance and enthusiasm for new biometric and identity technologies by addressing the emotional and practical aspects of change through narrative.

Call to Action (Not Written by Google)

If you’re a tech marketer, perhaps the second or fourth novel concepts struck your fancy. Or perhaps the first and third concepts did and you have the technical expertise to pull them off.

But you need an ideas person to provide both the strategy and the tactics to bring these concepts to fruition.

Wanna talk?

I’m writing a post about California and want to illustrate it with a picture of the Grateful Dead.

I wanted to include Bill Walton in the picture, trusting that Google Gemini knew who Bill Walton was.

It didn’t. 

My first draft of the picture included a black basketball player. While many basketball players are black, Bill Walton isn’t.

Too lazy to describe Walton in detail, I just said he was tall and white and generated the picture above.

(Imagen 4)