Independent researcher in Artificial Intelligence (Primarily Reinforcement Learning) and Theoretical Philosophy (Philosophy of Mind, Metaphysics).
Founder of Stoado, where we're building AI fraud agents for marketplaces.
I've written essays and published papers discussing the nature of reality, consciousness, and artificial intelligence. There are also other related essays on topics that I have interest in, such as understanding human rationality, psychology, and examining belief systems. Some essays are very short, and they serve as axioms for other, more detailed writings.
Many argue that AI lacks true understanding, but I contend that these conclusions stem from a flawed, anthropocentric framework. While I do not claim that AI possesses phenomenological consciousness, I challenge the notion that our definition of 'understanding' is correct. I present a rebuttal of Searle's Chinese Room argument and its implications for consciousness and cognition.
Exploring how reinforcement learning principles might explain the emergence of consciousness and abstract thought.
An exploration of how thinking transcends sensory experience and operates on abstract principles.
The limits of computational intelligence in a stochastic reality
What's more real, your arm or a dream? Is our definition of "real" flawed?
Reconceptualizing emotions as computational heuristics that help navigate complexity under bounded rationality, from bacteria to human recursive experience.
A reframing of consciousness and subjective experience through mechanistic principles.
Exploring how our beliefs form an interconnected web that can't be selectively modified, as cognitive processes largely operate beneath conscious control.
A structured epistemic framework for assessing the reliability of belief systems and frameworks
Examining AI's fundamental inability to detect human deception and why emotional heuristics play a crucial role in true intelligence.
Exploring humanity's approaching existential crisis as traditional meaning structures collapse.
An exploration of whether mathematics approximates reality, or is reality itself.
Why abstracting neural networks alone won't achieve AGI - the crucial roles of embodiment, social interaction, and hypergraph structures in general intelligence.
A collection of puzzles exploring infinity, probability, and logic.
An analysis of how religious literalism conflicts with rational thinking and evidence-based reasoning.
Examining our biases in attributing intentionality to fundamental forces and the concept of infinity.
Exploring how critical thinking education is our most crucial defense against existential threats and should be taught as early and rigorously as core subjects.
A framework for evaluating one's ability to update beliefs and overcome cognitive biases.
An exploration of reality's fundamental indifference to human desires, meaning, and justice.
Examining how childhood experiences shape our lifelong pursuit of validation and attention.
A meditation on how people cling to comfortable belief structures rather than crafting their own or accepting uncertainty.
The critical importance of reading in developing abstract thinking and rational judgment.
Understanding how complex systems naturally develop and assign meaning to meaningless structures.
Is morality objective, subjective, or can it be both? Exploring how we anthropomorphise uncertainty to find moral grounding within human systems.
Exploring the difference between practical and theoretical certainty.
Examining whether perfect rationality is possible and the challenge of recognizing our emotion-based beliefs.
Why current AI systems lack the embodied physiology, evolutionary drives, affective memory, and conscious experience necessary for genuine emotions.
Why the physical implementation of AI systems matters for phenomonological consciousness.
A secular analysis of prayer's psychological and practical benefits.
A critique of AI: Sometimes slow is beautiful.
Examining the logical impossibilities in traditional concepts of an omnipotent deity, and whether there is such thing as absolute truth.
A short exploration of whether religious concepts of God are redundant rather than merely logically flawed.
Exploring how our identities are shaped by social roles rather than any intrinsic self.
How statistical principles might underlie the fundamental nature of reality.
Why personal experiences can be misleading in understanding objective reality.
Exploring the paradox of demanding AI demonstrate understanding while lacking a complete theory of human cognition.
Exploring whether reality is fundamentally algorithmic or if our computational models are simply a reflection of how our minds work.
The distinction between evolutionary survival-based thinking and higher-order abstract reasoning.
How contemporary society creates and worships new forms of idols.
Practical exercises for developing stronger critical thinking skills.
Examining how expertise and understanding can exist without complete knowledge of underlying mechanisms.
Is Irrationality Beneficial?
Exploring how structured "nothing" gives rise to what we perceive as "something" and the philosophical implications of this physical understanding.
Examining how legal progress often fails to match cultural evolution, as internalised beliefs and collective biases persist despite institutional changes.
Asking "why" requires facing existential uncertainty.
A short exploration of how our need for certainty is a virus in a digital world.
Reflecting on how close we are to historical figures and how we're living at the very beginning of accessible knowledge.
Exploring how human knowledge domains form a hierarchical structure where each field abstracts from the one below, and why understanding these connections is essential for solving complex problems.
More technical lectures on artificial intelligence. These are more technically oriented than the philosophical essays above.
A comprehensive introduction to the mathematics and fundamentals of deep learning, including linear algebra, calculus, neural networks, and implementation details in Python.
An exploration of linear algebra as both a mathematical language and a philosophical framework for understanding transformations, spaces, and relationships.
A technical introduction to multi-agent reinforcement learning, covering foundations, game theory, and advanced RL algorithms.
Browse essays by category to explore specific themes and topics.
Contact
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