AGI Notation: Friston’s Use of “Psi”

We want to create an AGI (artificial general intelligence). If you’re reading this post, we trust that is your intention as well. We already know that AGI won’t come out of transformers. They are, in their essence, content addressable memories. That’s what they can do; that’s ALL that they can do. Our core equation comes… Continue reading AGI Notation: Friston’s Use of “Psi”

Socrates, Pericles, and Aspasia: How A Muse Helped the Genesis of Western Thought

Socrates is a name that most of us know, even if only tangentially. We’ve probably all heard of the “Socratic method” of teaching. Many of us also know of Pericles, the great Athenian general who lead their armies in their various wars – including those against Sparta. But Aspasia? Not as many of us have… Continue reading Socrates, Pericles, and Aspasia: How A Muse Helped the Genesis of Western Thought

The 1D CVM (Cluster Variation Method): Complete Interactive Code (Part 2)

The most important element in creating an AGI (artificial general intelligence) is that the latent node layer needs to allow a range of neural dynamics. The most important of these dynamics will be the ability for the system to rapidly undergo a state change, from mostly “off” nodes to mostly “on.” Neurophysiologists have observed this… Continue reading The 1D CVM (Cluster Variation Method): Complete Interactive Code (Part 2)

Next-Era AGI: Neurophysiology Basis

The next era of artificial intelligence (AI), or artificial general intelligence (AGI), will rest on neurophysiology models that emphasize neuronal group dynamics, rather than the behaviors of single neurons. This post addresses three questions that underlie the next-era neurophysiological underpinnings supporting neural networks – the NEXT generation of neural networks modeling: Neurophysiology: Important Early Works… Continue reading Next-Era AGI: Neurophysiology Basis

1-D Cluster Variation Method: Simple Text String Worked Example (Part 1)

Today, we focus on getting the entropy term in the 1-D cluster variation method (the 1D CVM), using a simple text string as the basis for our worked example. This blog is in-progress. Please check back tomorrow for the updated version. Thank you! – AJM Our End Goal Our end goal – the reason that… Continue reading 1-D Cluster Variation Method: Simple Text String Worked Example (Part 1)

CORTECONs: Executive / Board / Investor Briefing

This briefing is the first step for those considering research and development (R&D) involving CORTECONs (COntent-Retentive, TEmporally-CONnected neural networks), which have been developed by Themesis Principal Alianna J. Maren, Ph.D. We organize this briefing using the five well-known questions for reporting: This briefing accompanies a YouTube presentation, and the link to that presentation will be… Continue reading CORTECONs: Executive / Board / Investor Briefing

CORTECONS: A New Class of Neural Networks

In the classic science fiction novel, Do Androids Dream of Electric Sheep?, author Philip K. Dick gives us a futuristic plotline that would – even today – be more exciting and thought-provoking than many of the newly-released “AI/robot as monster” movies. The key question today is: Can androids dream? This is not as far-fetched as… Continue reading CORTECONS: A New Class of Neural Networks