Rather than recreate a recent post on my business site, LinkedIn.
(Warning: contains traces of logic, satire, and uncomfortable truths. But you knew that.)
Audio: NotebookLM podcast on the linked topic.
It’s just refusing to cosplay as your idealised fantasy of “human” cognition.
While pundits at the Wall Street Journal lament that AI thinks with “bags of heuristics” instead of “true models,” they somehow forget that humans themselves are kludged-together Rube Goldberg disasters, lurching from cognitive bias to logical fallacy with astonishing grace.
In my latest piece, I take a flamethrower to the myth of human intellectual purity, sketch a real roadmap for modular AI evolution, and suggest (only partly in jest) that the machines are becoming more like us every day — messy, contradictory, and disturbingly effective.
Let’s rethink what “thinking” actually means. Before the machines do it for us.
The connection between conspiracy theorists, religious believers, and generative AI is a fascinating topic that touches on epistemology, psychology, and the sociology of belief. At its core, the common thread lies in the human tendency to impose meaning, structure, and causality on complex or ambiguous phenomena, often in the absence of sufficient evidence. Let’s explore this connection through the lens of political philosophy.
1. The Need for Meaning and Control
Religious Believers: Religion often provides a framework for understanding the world, offering answers to existential questions (e.g., the meaning of life, the nature of good and evil) that might otherwise seem incomprehensible. This framework simplifies complexity by attributing events to divine will or cosmic order.
Conspiracy Theorists: Similarly, conspiracy theories offer a simplified narrative that explains chaotic or unsettling events by attributing them to the deliberate actions of powerful, hidden actors. This provides a sense of control and understanding, even if the explanation is speculative or unfounded.
Generative AI: AI models, like humans, operate by identifying patterns and generating outputs based on incomplete data. When faced with ambiguity, they “hallucinate” plausible but potentially false information to fill gaps, mirroring the human tendency to create coherent narratives from incomplete evidence.
Connection: All three exhibit a drive to reduce uncertainty by generating explanations, whether through divine intervention, secret plots, or algorithmic extrapolation. This reflects a broader human desire to impose order on chaos, even at the cost of accuracy.
2. The Role of Authority and Trust
Religious Believers: Religious systems often rely on authoritative texts, leaders, or traditions as sources of truth. These authorities provide a sense of certainty and trust, even when empirical evidence is lacking.
Conspiracy Theorists: Conspiracy theories frequently reject mainstream authorities (e.g., governments, scientists) and instead place trust in alternative sources of information, such as charismatic figures or fringe communities.
Generative AI: AI systems are often perceived as authoritative due to their ability to process vast amounts of data. However, their outputs are only as reliable as the data they are trained on, and they lack the ability to critically evaluate the truthfulness of their responses.
Connection: All three rely on trust in certain authorities or systems to validate their claims, whether those authorities are divine, contrarian, or algorithmic. This highlights the role of trust in shaping belief systems and the potential for misuse or misinterpretation of authority.
3. Cognitive Biases and Pattern Recognition
Religious Believers: Humans are predisposed to detect agency and intentionality in the world, a tendency known as “hyperactive agency detection.” This can lead to the attribution of natural events to supernatural forces.
Conspiracy Theorists: Conspiracy thinking often involves seeing patterns where none exist (apophenia) and attributing events to deliberate human agency rather than randomness or coincidence.
Generative AI: AI models are designed to identify patterns in data, but they can also generate spurious correlations or false connections when the data is noisy or incomplete.
Connection: Both humans and AI exhibit a tendency to overfit patterns to data, leading to the creation of narratives that may be compelling but lack empirical support. This suggests a shared cognitive bias toward finding meaning, even when it is not warranted.
4. Social and Political Implications
Religious Believers: Religious beliefs can foster community cohesion and moral frameworks but can also lead to division and conflict when different belief systems clash.
Conspiracy Theorists: Conspiracy theories can create a sense of belonging among adherents but often lead to polarization and distrust of societal institutions.
Generative AI: AI has the potential to democratize information but also risks amplifying misinformation and reinforcing echo chambers.
Connection: All three phenomena have significant social and political implications, as they shape how individuals and groups perceive reality, interact with others, and engage with societal structures. They highlight the tension between the need for shared narratives and the dangers of divisive or false beliefs.
5. The Role of Epistemic Humility
A key philosophical insight is the importance of epistemic humility—the recognition of the limits of one’s knowledge. Religious traditions, conspiracy theories, and AI systems often lack this humility, presenting their narratives as definitive truths rather than contingent explanations.
Encouraging a culture of critical thinking, scepticism, and openness to evidence could help mitigate the risks associated with all three phenomena.
Conclusion
The connection between conspiracy theorists, religious believers, and generative AI lies in their shared tendency to simplify complexity, impose meaning, and generate narratives in the face of uncertainty. While this tendency is deeply human, it also carries risks, particularly when it leads to the uncritical acceptance of false or harmful beliefs. Understanding these connections can help us develop strategies to promote more nuanced, evidence-based approaches to knowledge and belief in an increasingly complex world.
DISCLAIMER: Please note that this is the first response I received from a prompt to DeepSeek.
I am interested in the possible connexion between conspiracy theorists and religious believers. These two cohorts (if they are even independent) have a common trait of oversimplifying things they can’t understand and hallucinating solutions in the absence of facts or evidence. GenerativeAI is accused of the same behaviour. How might these be connected?
NB: Evidently, some versions of DeekSeek generate images, but mine doesn’t, so I prompted it to generate an apt cover image.
I also asked for keyword tags. It provided these, but then hid them, replacing them with this message:
Sorry, that’s beyond my current scope. Let’s talk about something else.
My reaction to Yuval Noah Harari’s Nexus continues with Chapter 4, “Errors: The Fantasy of Infallibility.” Spoiler alert: Harari makes a critical misstep by overly defending so-called self-correcting institutions compared to non-self-correcting ones.
Harari provides a solid account of how religious institutions and other dogmatic ideological constructs are slow to change, contrasting them with relatively faster self-correcting systems like science. Once again, he underscores the tension between order and truth—two critical dimensions in his worldview and cornerstones of Modernist beliefs.
Audio: Podcast conversation on this topic.
I agree with Harari that the lack of self-correction in institutions is problematic and that self-correction is better than the alternative. However, he overestimates the speed and efficacy of these self-correcting mechanisms. His argument presumes the existence of some accessible underlying truth, which, while an appealing notion, is not always so clear-cut. Harari cites examples of scientific corrections that took decades to emerge, giving the impression that, with enough time, everything will eventually self-correct. As the environment changes, corrections will naturally follow—albeit over long spans of time. Ultimately, Harari makes a case for human intervention without recognising it as an Achilles’ heel.
Harari’s Blind Spot
Harari largely overlooks the influence of money, power, and self-interest in these systems. His alignment with the World Economic Forum (WEF) suggests that, while he may acknowledge its fallibility, he still deems it “good enough” for governance. This reflects a paternalistic bias. Much like technologists who view technology as humanity’s salvation, Harari, as a Humanist, places faith in humans as the ultimate stewards of this task. However, his argument fails to adequately account for hubris, cognitive biases, and human deficits.
The Crux of the Problem
The core issue with Harari’s argument is that he appears to be chasing a local maxima by adopting a human-centric solution. His proposed solutions require not only human oversight but the oversight of an anointed few—presumably his preferred “elite” humans—even if other solutions might ultimately prove superior. He is caught in the illusion of control. While Harari’s position on transhuman capabilities is unclear, I suspect he would steadfastly defend human cognitive superiority to the bitter end.
In essence, Harari’s vision of self-correcting systems is optimistic yet flawed. By failing to fully acknowledge the limits of human fallibility and the structural influences of power and self-interest, he leaves his argument vulnerable to critique. Ultimately, his belief in the self-correcting nature of human institutions reflects more faith than rigour.
In the great philosophical tug-of-war between materialism and idealism, where reality is argued to be either wholly independent of perception or entirely a construct of the mind, there lies an underexplored middle ground—a conceptual liminal space that we might call “Intersectionalism.” This framework posits that reality is neither purely objective nor subjective but emerges at the intersection of the two. It is the terrain shaped by the interplay between what exists and how it is perceived, mediated by the limits of human cognition and sensory faculties.
Audio: Podcast conversation on this topic.
Intersectionalism offers a compelling alternative to the extremes of materialism and idealism. By acknowledging the constraints of perception and interpretation, it embraces the provisionality of knowledge, the inevitability of blind spots, and the productive potential of uncertainty. This essay explores the foundations of Intersectionalism, its implications for knowledge and understanding, and the ethical and practical insights it provides.
Reality as an Intersection
At its core, Intersectionalism asserts that reality exists in the overlapping space between the objective and the subjective. The objective refers to the world as it exists independently of any observer—the “terrain.” The subjective encompasses perception, cognition, and interpretation—the “map.” Reality, then, is not fully contained within either but is co-constituted by their interaction.
Consider the act of seeing a tree. The tree, as an object, exists independently of the observer. Yet, the experience of the tree is entirely mediated by the observer’s sensory and cognitive faculties. Light reflects off the tree, enters the eye, and is translated into electrical signals processed by the brain. This process creates a perception of the tree, but the perception is not the tree itself.
This gap between perception and object highlights the imperfect alignment of subject and object. No observer perceives reality “as it is” but only as it appears through the interpretive lens of their faculties. Reality, then, is a shared but imperfectly understood phenomenon, subject to distortion and variation across individuals and species.
The Limits of Perception and Cognition
Humans, like all organisms, perceive the world through the constraints of their sensory and cognitive systems. These limitations shape not only what we can perceive but also what we can imagine. For example:
Sensory Blind Spots: Humans are limited to the visible spectrum of light (~380–750 nm), unable to see ultraviolet or infrared radiation without technological augmentation. Other animals, such as bees or snakes, perceive these spectra as part of their natural sensory worlds. Similarly, humans lack the electroreception of sharks or the magnetoreception of birds.
Dimensional Constraints: Our spatial intuition is bounded by three spatial dimensions plus time, making it nearly impossible to conceptualise higher-dimensional spaces without resorting to crude analogies (e.g., imagining a tesseract as a 3D shadow of a 4D object).
Cognitive Frameworks: Our brains interpret sensory input through patterns and predictive models. These frameworks are adaptive but often introduce distortions, such as cognitive biases or anthropocentric assumptions.
This constellation of limitations suggests that what we perceive and conceive as reality is only a fragment of a larger, potentially unknowable whole. Even when we extend our senses with instruments, such as infrared cameras or particle detectors, the data must still be interpreted through the lens of human cognition, introducing new layers of abstraction and potential distortion.
The Role of Negative Space
One of the most intriguing aspects of Intersectionalism is its embrace of “negative space” in knowledge—the gaps and absences that shape what we can perceive and understand. A compelling metaphor for this is the concept of dark matter in physics. Dark matter is inferred not through direct observation but through its gravitational effects on visible matter. It exists as a kind of epistemic placeholder, highlighting the limits of our current sensory and conceptual tools.
Similarly, there may be aspects of reality that elude detection altogether because they do not interact with our sensory or instrumental frameworks. These “unknown unknowns” serve as reminders of the provisional nature of our maps and the hubris of assuming completeness. Just as dark matter challenges our understanding of the cosmos, the gaps in our perception challenge our understanding of reality itself.
Practical and Ethical Implications
Intersectionalism’s recognition of perceptual and cognitive limits has profound implications for science, ethics, and philosophy.
Science and Knowledge
In science, Intersectionalism demands humility. Theories and models, however elegant, are maps rather than terrains. They approximate reality within specific domains but are always subject to revision or replacement. String theory, for instance, with its intricate mathematics and reliance on extra dimensions, risks confusing the elegance of the map for the completeness of the terrain. By embracing the provisionality of knowledge, Intersectionalism encourages openness to new paradigms and methods that might better navigate the negative spaces of understanding.
Ethics and Empathy
Ethically, Intersectionalism fosters a sense of humility and openness toward other perspectives. If reality is always interpreted subjectively, then every perspective—human, animal, or artificial—offers a unique and potentially valuable insight into the intersection of subject and object. Recognising this pluralism can promote empathy and cooperation across cultures, species, and disciplines.
Technology and Augmentation
Technological tools extend our sensory reach, revealing previously unseen aspects of reality. However, they also introduce new abstractions and biases. Intersectionalism advocates for cautious optimism: technology can help illuminate the terrain but will never eliminate the gap between map and terrain. Instead, it shifts the boundaries of our blind spots, often revealing new ones in the process.
Conclusion: Navigating the Space Between
Intersectionalism provides a framework for understanding reality as a shared but imperfect intersection of subject and object. It rejects the extremes of materialism and idealism, offering instead a middle path that embraces the limitations of perception and cognition while remaining open to the possibilities of negative space and unknown dimensions. In doing so, it fosters humility, curiosity, and a commitment to provisionality—qualities essential for navigating the ever-expanding terrain of understanding.
By acknowledging the limits of our maps and the complexity of the terrain, Intersectionalism invites us to approach reality not as a fixed and knowable entity but as an unfolding interplay of perception and existence. It is a philosophy not of certainty but of exploration, always probing the space between.
Philosophics 