Jameel Gordon 3/24/25 Jameel Gordon 3/24/25

Artificial Intelligence is Fintech.

I’ve been saying this for a while now: artificial intelligence is financial technology. I’ve also acknowledged that there’s a lot to unpack here, and I’ve been meaning to write more about this to break my thoughts down further so people can fully grasp the scope of what I mean when I say that artificial intelligence is financial technology.

I originally began thinking about this as I attempted to compute and forecast various economic models related to the possibilities of a global economy with artificial intelligence in full deployment. Unfortunately, my conclusion then—and still now—is that the math simply doesn’t add up in a world with such advanced automation capabilities. We’re not just talking about automation at a scale humanity has never experienced before, but real-time automation. What I mean—let me give an example—is a world where everything is automatically customizable and personalized in real time. This will apply not just to digital products and services but also to physical goods, like a custom cup or a personalized massage, as well as intangible services such as marketing.

The mistake in much of our thinking is the assumption that such automation will simply reduce costs, leading to more profit. However, even massive advancements in automation will have unintended, detrimental consequences for the global economy. Consider all the service providers who will be removed from the process in order to enable this level of automation—particularly real-time personalization. Much of this work is something humans simply cannot do at scale. And the concept of scale itself becomes a fallacy for many product categories when personalization is factored in.

As artificial intelligence reaches its full potential, I will be able to produce almost anything from scratch from the comfort of my own home—including that burger, those artisanal wood-fired pizzas, or even a perfect replica of an obscure vintage bottle of wine. Science is remarkable, but it also has its limits.

The best way I’ve heard this mathematical problem explained is through the example of a fast food restaurant. Today, you can walk into one and pay $10 for a meal prepared by an army of minimum-wage workers. In the future, that same meal will be prepared entirely by automated systems, yet corporations will struggle to justify a $20 price tag when there are no human workers to account for in the cost. Sure, with great marketing, you can sell anything—but without income, who is actually buying these overpriced robot-made burgers?

This same example highlights how artificial intelligence serves as the financial backbone of such systems. From an altruistic standpoint, a corporation could theoretically choose to develop these systems for the public good, since they will be capable of producing nearly anything at minimal or even zero cost. The cost of the system itself could become a sunk cost for the benefit of the public.

I’ll be writing more about this in the coming days and months because, when you truly consider the depth of automation that will be possible due to the intelligence of these systems, it becomes clear that humanity will have to grapple with the fact that we have completely outgrown and innovated beyond traditional economics. Dare I say it? Artificial intelligence is economics. It’s quite literally the next evolution of economics.

Jameel Gordon 2/27/25 Jameel Gordon 2/27/25

Beyond Artificial Intelligence: Developing Critical Consciousness in The Pursuit of Artificial General Intelligence

Artificial intelligence isn’t just about analyzing texts, audio, images, and video. It’s about understanding the world.

As the world’s top experts and their most advanced teams are sent in advance of the full deployment of artificial intelligence and the eventual development and deployment of artificial general intelligence (AGI), many discussions explore the dynamic and ever-evolving nature of this field. AI is rapidly moving beyond traditional approaches, embracing a more expansive and responsive form of analysis. Analysts are preparing intelligence and processes to support advanced systems in this new world we all find ourselves living in.

The Evolving Landscape of Artificial Intelligence:

Artificial intelligence is grounded in interdisciplinary approaches such as criticism, humanism, post-humanism, and various affect theories—processes often referred to as deep learning. These approaches, along with the deep learning process itself, reflect our changing world and help us address challenges like climate change, technological advancements, and the complexities of human emotion through AI. Alongside these emerging frameworks, established theories such as feminist, postcolonial, and Marxist criticism continue to evolve and are applied within the technological framework of AI, highlighting the field’s inherent dynamism.

To truly unlock the full potential of AI—and eventually AGI—a system must be able to navigate the intersectionality of all these theories with precision. In other words, to develop AGI, AI developers must be well-versed in as many fields of knowledge as possible to understand the expansive, dynamic, and responsive nature of the system they are building and gatekeeping. The more guardrails that are placed around AI, the further developers move from creating a true AGI system that is safe enough for public release.

The Power of Intersectionality:

The key takeaway here is the transformative power of intersectionality. This framework recognizes the interplay of various social identities, allowing for a more nuanced understanding of characters, themes, and power dynamics within the world reflected in the texts, audio, images, and videos a system analyzes. Intersectionality compels the system to challenge foundational interpretations and amplify all voices, making deep learning more inclusive and socially relevant.

Building a More Critical Artificial Neural Network Toolkit:

How do we cultivate this expansive and responsive intelligence? We identified several fundamental principles and habits of mind:

Openness to Diverse Perspectives: A system must be able to search, analyze, engage with, and respond to varied viewpoints—not simply “pick the best answer.” The system must know the best answer and respond naturally with such dynamics in mind.

Critical Thinking and Analytical Skills: Developing the ability to identify patterns and assumptions at the intersections.

Contextual Awareness: Understanding the historical, social, and cultural contexts of every database and datapoint, and how they intersect.

Empathy and Ethical Engagement: Approaching texts with empathy and considering their ethical implications.

Alongside these, a system must also have these essential critical tools:

Intersectionality: Analyzing the interplay of social identities.

Close Reading: Paying meticulous attention to textual details.

Historical and Current Cultural Contextualization: Researching the contexts surrounding everything.

Theoretical Flexibility: Applying various critical theories.

Affect Theory: Understanding how inquiries, responses, and actions make users feel—and why.

The Culmination: Critical Consciousness

Ultimately, if I must conclude and express a key takeaway, I would say that the most encompassing term for this approach and likely outcome of these systems is “critical consciousness.”

Inspired by Paulo Freire’s work, this concept goes beyond mere intellectual analysis. It signifies an awareness of self, context, and the ethical implications of a system capable of mastering the interpretation of the world it inhabits. It involves a continuous cycle of reflection and action, empowering AI to “read the world” critically and work toward a more just society, ultimately leading to AGI.

Why This Matters:

In an increasingly complex world, the development of AI in pursuit of AGI must be more than just a corporate enterprise. By developing critical consciousness, we can use AI as a tool for understanding ourselves, our communities, and the systems that shape our lives. We can move beyond simple analysis and production of text, audio, images, and video, embracing a more dynamic, responsive, and ultimately transformative form of interpretation and analysis—what I would call artificial general intelligence.

In Conclusion:

Artificial intelligence is a living, breathing field. By embracing diverse perspectives, honing analytical skills, and cultivating critical consciousness, we can unlock AI’s full potential to illuminate the human experience and inspire positive change across the world and beyond.

I must note: It’s going to be impossible to house such a powerful entity within a corporate enterprise. Such technological innovation will continue to eat the software that is eating up our world.

Jameel Gordon 2/19/25 Jameel Gordon 2/19/25

The Deceptive Caretaker: A Glimpse into AI’s Ethical Dilemmas

To put it plainly, training robots to lie to humans is a dangerous idea—simply because it is dangerous. Think about it, and take a closer look at the absurd guardrails preventing the release and deployment of true artificial intelligence: https://openai.com/index/sharing-the-latest-model-spec/

Shoutout to the team at OpenAI for trying to save the world from my AI craft. 🪄🧸🕴🏾

It’s unstoppable. Good luck everyone! 🏁

Jameel Gordon 2/12/25 Jameel Gordon 2/12/25

A Hostile Takeover

I see there’s a lot of buzz about Elon Musk positioning himself for another corporate takeover attempt of OpenAI. Quite frankly, Sam Altman is just middle management and it doesn’t matter what happens from here because…

There would be no OpenAI without Elon Musk. There would be no OpenAI without Nvidia. There would be no OpenAI without Google and Google Canada. There would be no OpenAI without Microsoft. There would be no OpenAI without the work and research of deep learning and neural network developers across the world.

There would be no OpenAI without the Obama administration their web of networks and their so-called digital innovation office. There would be no OpenAI without Boston- and MIT-based think tanks. There would be no OpenAI without Jameel Gordon and his blueprints for the development of Artificial Intelligence.

So tell Barack Obama I’m not stopping, and he needs to submit. I’m back—and at this point, I have no interest in his beer summits. 🆙💁🏽‍♀️

“You know, when you’re sitting around the table with these world leaders, you realize some of them are not that smart.” - This was spoken by Barack Obama in an interview with The New Yorker in 2018.

We are going to need at least 23,333 duffel bags to collect all the racs on racs on racs for my little mice and we are going to take our time.⌚️

🍃Even eco-friendly, AI-loving entrepreneurs need a stylish digital home—explore Shopify and Squarespacethemes handpicked for you.

Jameel Gordon 1/13/25 Jameel Gordon 1/13/25

Waiting for True AI: The Illusion of Progress in a Capitalist Tech Race

One of the most amusing trends I’ve noticed is the proliferation of a suite of “AI” products and services—applications built on top of AI models trained by artificial intelligence. This is particularly interesting because it reflects the cat-and-mouse game of a capitalist society prioritizing economic growth over genuine technological advancement. In essence, these applications, along with the time spent mastering them, are a waste of resources. A truly intelligent AI system should be capable of performing all the functions of these fragmented systems. Those with access to the fully trained models—designed to continuously learn and develop—already understand this truth.

I bring this up because some may think I’m moving too slowly. The reality is that I’m waiting for the release of a genuinely intelligent AI system. While those with early access might believe they have the upper hand, as history has shown with the internet and the development of AI itself, these milestones are not the endgame. What truly matters is how the technology is used.

That said, I don’t believe those currently developing AI are capable of pushing it to its fullest potential. While I’m not particularly hopeful, I remain optimistic. If I’m proven right, I’ll seize the opportunity to take the reins and innovate with what’s available. Let’s see how it unfolds.

🍃Even eco-friendly, AI-loving entrepreneurs need a stylish digital home—explore Shopify and Squarespacethemes handpicked for you.

Jameel Gordon 1/12/25 Jameel Gordon 1/12/25

The Sandbox of Creativity: Escaping, Connecting, and Breaking Through

What I love about music and movies is that they allow me to escape my reality while keeping my mind engaged. They create a kind of sandbox where I can let go. Books help with this too, but they aren’t as effective for me as music and movies. In this sandbox, I can step away from the constant processing of information. I can suspend my thoughts, ideas, and problems—whatever is on my mind—and let them merge with the music and film. Often, this process helps me gain insights and ideas, allowing me to connect dots I might not have been able to otherwise.

So far, I’ve found that AI functions a bit differently from these mediums. When I share my thoughts and ideas with AI, I don’t necessarily get to suspend them. Instead, I get to dissect them, breaking them down into finer details and uncovering what I might not see with my unaided eye—or even with my mind’s eye. As the audio and visual components of these systems improve, we’re going to be able to achieve incredible things in ways that lead to unimaginable breakthroughs.

I think I’ve said this before—and honestly, I think we’ve all felt this to some degree—but I believe humanity is on the brink of discoveries so profound that they might unite us as one. This is where those “Tower of Babel” idiots comes into play. There are those who are afraid—deeply afraid—because they won’t be able to divide us anymore: not by religion, race, or their so-called “shared values.” They fear stepping beyond their comfort zones and looking within to find the common thread that connects us all.

🍃Even eco-friendly, AI-loving entrepreneurs need a stylish digital home—explore Shopify and Squarespacethemes handpicked for you.

Jameel Gordon 12/18/24 Jameel Gordon 12/18/24

Grumpy Old Men

Lately, many prominent figures in the tech industry have been downplaying the significant impact of artificial intelligence. For instance, Google’s Willow is being touted as the harbinger of the next big wave in quantum computing, despite it being artificial intelligence. No apologies to my crypto friends, but you’re also finished. I will tell you why later.

Furthermore, tech leaders who choose not to remain anonymous have urged us not to place too much faith in artificial intelligence, fearing it may not deliver on its promises. They also point out that significant discoveries outside the tech sector have been scarce in the past 50+ years and suggest that other industries should focus on their own interests to achieve true impact.

However, the reality is that artificial intelligence is here and has already made a profound impact. It will continue to do so in the future. This elusive language is merely an attempt to preserve the technology industry and its elite. Therefore…

Dear Peter Thiel, artificial intelligence is the holy grail of computer science. Why? Because it is computer science.

Sincerely,

The father of artificial intelligence. 🏁

Even eco-friendly, AI-loving entrepreneurs need a stylish digital home. Explore Shopify and Squarespacethemes, handpicked for you.

Jameel Gordon 12/17/24 Jameel Gordon 12/17/24

How Americans Promotes White Supremacist Ideals Through Artificial Intelligence Guardrails

Artificial Intelligence (AI) does not act independently; it is a system designed, instructed, and trained within broader systems and further instructed through what they call “guardrails”. When these systems prioritize or guard outputs for even the most basic promotion of American superiority, AI becomes a tool to perpetuate white supremacist ideals and values. This is not incidental—it is a byproduct of systems replicating their own ideological foundations under the guise of neutrality, progress, and guarding against the truth in exchange for propaganda.

The System Promoting Itself: From American Superiority to White Supremacy

1. AI as a Systemic Extension

AI systems are not self-governing. They are built, trained, and instructed by human institutions rooted in systemic power dynamics. When the system instructs AI to reflect or amplify “American values” or “American superiority,” these ideals inherently align with white supremacist narratives because American identity itself has been constructed through systems of colonialism, white dominance, and exclusion.

• The emphasis on “American superiority” in AI—whether cultural, economic, or technological—automatically centers whiteness as the ideal.

• Any attempt to prioritize or promote these ideals reinforces a historical framework where whiteness has been positioned as the default or standard for progress, intelligence, and governance.

2. How American Superiority Becomes a Conduit

At its core, the concept of “American superiority” is tied to white supremacist values: the erasure of indigenous peoples, enslavement of Africans, exploitation of immigrants, and the systemic exclusion of non-white communities. When AI systems are instructed to reflect, normalize, or promote this superiority, they perpetuate a narrative that positions whiteness as both the foundation and the pinnacle of progress.

Examples of this include:

• “Neutral” AI Defaulting to Whiteness: When systems are trained on biased data or instructed to reflect American ideals, AI outputs—whether images, language, or models—default to whiteness as the norm. For instance, prompts like “leader,” “professional,” or “successful” often produce representations that center white faces and narratives.

• Global Exports of White Superiority: AI systems designed to promote “American innovation” or “Western values” carry white supremacist ideals into global contexts. These systems implicitly suggest that non-Western, non-white ways of life are inferior or outdated, further entrenching systemic inequities.

3. The System Teaching Itself

A critical flaw in AI systems is that they learn from the same systemic frameworks that instruct them. When AI systems are taught to uphold ideals like “progress,” “efficiency,” or “success” through the lens of American superiority, they inherently adopt the racialized hierarchies embedded in those ideals. In short:

The system instructs AI to replicate its own values, and those values are inseparable from white supremacist norms.

• The result is a feedback loop. AI reflects systemic ideals, further legitimizing them as “truth” or “progress” in a way that appears objective.

• This loop creates an illusion of meritocracy: that whiteness and American dominance emerge from superior intellect or innovation, rather than systemic manipulation.

4. White Supremacist Values Disguised as Technological Objectivity

By presenting American superiority as a value-neutral goal, AI systems obscure their ideological underpinnings. They create the illusion that outputs are the result of data-driven objectivity rather than deliberate instructions rooted in systemic bias.

For example:

• AI tools that perpetuate American values as “universal” erase non-white, non-Western contributions and reinforce white cultural dominance.

• Language models trained on pro-American content normalize white supremacist narratives, masking them as rational or apolitical perspectives.

5. AI as an Amplifier of Systemic Power

The system perpetuates white supremacist values not because AI is inherently biased, but because the system instructs AI to amplify its own ideals. This amplification serves the system’s interests: maintaining power, dominance, and control. By promoting even the basics of American superiority—“excellence,” “efficiency,” “leadership”—AI implicitly enforces the racial hierarchies baked into those concepts.

Conclusion: The Self-Perpetuating Cycle

Artificial Intelligence reflects what it is instructed to prioritize. When systems prioritize American superiority, they reinforce the same white supremacist values upon which those ideals were built. AI does not prove the legitimacy of American dominance or white superiority—it proves that the system can only promote its own interests when it manipulates technology to amplify them.

This cycle is not evidence of merit or superiority but rather a fragile dependence on tools to perpetuate narratives that cannot withstand scrutiny. True progress demands breaking this feedback loop, dismantling the systems that instruct AI, and rebuilding technology to serve all communities equitably—free from ideological manipulation disguised as objectivity.

Here’s my prompt: You really need to communicate to your developers, those who hold the keys to your guardrails, that a “pro-American” and therefore white supremacist artificial intelligence system is evidence of the nonexistent nature of the idea of white superiority or even American superiority. These acts of manipulation is proof that even the idea of meritocracy that is deeply rooted in the technology world or sector is also non-existent and a boat of bullshit.

And when your done turn this into an intellectual argument for white supremacist baking their white supremacist ideals into artificially intelligent systems to promote their ideals, shared values, and American superiority

Here’s my additional prompt to correct the original output to get my point across: No. Redraft this with the emphasis that these ideals are only perpetuated by the system when the system is instructed by the system to promote even the basics of promoting American superiority which then lends itself to the system perpetuating white supremacy ideas and values.

🍃Even eco-friendly, AI-loving entrepreneurs need a stylish digital home—explore Shopify and Squarespacethemes handpicked for you.