Category: A Resource – Papers

AI, Climate, and Energy (Resource Collection)

One of the most important things in the emerging AI-world is how we handle the ENERGY NEEDS of AI systems. This actually invokes a much bigger question – how will we handle energy needs overall? How do we mitigate (and potentially reverse) the climate crisis? How do we build sustainability and resilience into our energy… Continue reading AI, Climate, and Energy (Resource Collection)

Brigette Bardot Says It All (An Exercise in the 1D Cluster Variation Method)

Probably best to get the kids out of the room before you play this one. Lots of heavy breathing by Brigette. And you can read the backstory here. (And a bit more here, if you’re so inclined.) But to business … The Starting Point … and the FIRST Illustrative Text String I had previously worked… Continue reading Brigette Bardot Says It All (An Exercise in the 1D Cluster Variation Method)

Pivoting to AGI: What to Read/Watch/Do This Weekend

We are moving from a generative-AI era to an AGI era. What that means – in the simplest technical terms – is that we’re pivoting from “single-algorithm systems” to systems that must – intrinsically – involve multiple major subsystems, and multiple control structures. We’re closing out a 50-year connectionist AI era. This era began with… Continue reading Pivoting to AGI: What to Read/Watch/Do This Weekend

Building Your Online Portfolio (A Collection of Useful Links)

One of the strongest things that we can do to position ourselves – for the next career move, and also for creating a new tier of powerful professional relations – is to build our online Portfolio. This post provides links to good Portfolio examples for three different cases: This post provides a collection of useful… Continue reading Building Your Online Portfolio (A Collection of Useful Links)

CORTECONs: AGI in 2024-2025 – R&D Plan Overview

By the end of 2024, we anticipate having a fully-functional CORTECON (COntent-Retentive, TEmporally-CONnected) framework in place. This will be the core AGI (artificial general intelligence) engine. This is all very straightforward. It’s a calm, steady development – we expect it will all unfold rather smoothly. The essential AGI engine is a CORTECON. The main internal… Continue reading CORTECONs: AGI in 2024-2025 – R&D Plan Overview

CORTECONs and AGI: Reaching Latent Layer Equilibrium

The most important thing in building an AGI is the ability to repeated bring the latent layer to equilibrium. This is the fundamental capability that has been missing in previous neural networks. The lack of a dynamic process to continuously reach a free energy minimum is why we have not had, until now, a robust… Continue reading CORTECONs and AGI: Reaching Latent Layer Equilibrium

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

1D CVM Object Instance Attributes: wLeft Details

We illustrate how the specific values for a single object-oriented instance attribute are determined. We do this for the specific case of the “wLeft” instance attribute for the Node object in the 1-D cluster variation method (1D CVM) code. The same considerations will apply when we progress to the 2D CVM code. The specific values… Continue reading 1D CVM Object Instance Attributes: wLeft Details