If a machine can mimic a thought, does it mean it is thinking? This dialogue strips away the hype of modern AI to reveal the "Code That Could Never Think." By examining the structural limitations of computation, we explore the difference between a system that follows rules and
A debate between two scientists about whether traditional science can truly capture the concept of life.
Every year, thousands of bright minds enter neuroscience programs driven by a profound question: How does the brain work? They emerge years later with advanced degrees, sophisticated experimental techniques, and an uncomfortable realization—despite accumulating vast amounts of data about neural mechanisms, the fundamental mystery remains unsolved. We can map
The Alchemist's Equivalence: a dialogue. Dr. John Computationalist, a computer scientist, sits across from Dr. Marcus Doubtful, a physicist turned philosopher. John: Look, Marcus, I think you're being way too doom-and-gloom about where we're headed. Yeah, sure, we don't have all the
You check your blog and realize it's been eleven months since your last post—ironically, that post was itself a reassurance that you were still around after a previous silence. Time has a peculiar way of dissolving when you're immersed in work. Eleven Months In that
The truth is, I've been busy with a significant breakthrough: the first implementation of a Geneosophic expression. Specifically, I've been working on the conceptual expression of a neuron, which can be verified in the third person and executed on a computer.
This article suggests that the scientific community is far from reaching a consensus. While I concur with the premise that our current paradigm falls short in answering this question, I part ways with the view that we are at the beginning of our journey. In fact, we have developed Geneosophy,
Today, I was having a conversation with one of the individuals I collaborate with on Geneosophy. As is often the case, I asked him if we haven't collectively lost our minds with Geneosophy. This question arises because when you delve into Geneosophic comprehension, you enter a realm where
This is an unusually long post, but also quite interesting in my humble opinion. Given the extraordinary success of large language models (LLMs), such as ChatGPT, how should their capabilities be evaluated? Will LLMs eventually replace humans in their jobs, or will they primarily serve as productivity tools, similar to
I am currently working on Formal Geneosophy, which deals with the practical applications of Theoretical Geneosophy. I was tempted to describe the tools developed within Formal Geneosophy as the Algebra of Possibilities. However, algebra deals with actualities or the manipulation of numbers and equations. The term "algebra" comes
It seems that Milan is going through a period of renaissance, unlike in 2014 when I left and some friends are moving back to Milan as well. I am not moving back, I will be there for just one month.
I find it useful to be able to compare Geneosophy with the thought of other thinkers. It is a bit like being able to discuss with Bergson, at least as close as it gets.