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
Category: A Resource – YouTube
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”
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
Unboxing Grossberg’s “Conscious Mind, Resonant Brain”
Steve Grossberg’s book, Conscious Mind, Resonant Brain, summarizes fifty years of neurophysiology-inspired research and inventions in neural networks architectures, most notably the Adaptive Resonance Theory (ART) network, where his colleague Gail Carpenter was first author on two very important papers. We’ve done something a little different this time … a literal “unboxing” of the physical… Continue reading Unboxing Grossberg’s “Conscious Mind, Resonant Brain”
Evolution of NLP Algorithms through Latent Variables: Future of AI (Part 3 of 3)
AJM Note: ALTHOUGH NEARLY COMPLETE, references and discussion still being added to this blogpost. This note will be removed once the blogpost is completed – anticipated over the Memorial Day weekend, 2023. Note updated 12:30 AM, Hawai’i Time, Tuesday, May 29, 2023. This blogpost accompanies a YouTube vid on the same topic of the Evolution… Continue reading Evolution of NLP Algorithms through Latent Variables: Future of AI (Part 3 of 3)
New Neural Network Class: Framework: The Future of AI (Part 2 of 3)
We want to identify how and where the next “big breakthrough” will occur in AI. We use three tools or approaches to identify where this next big breakthrough will occur: The Quick Overview Get the quick overview with this YouTube #short: The Full YouTube Maren, Alianna J. 2023. “A New Neural Network Class: Creating the… Continue reading New Neural Network Class: Framework: The Future of AI (Part 2 of 3)
Kuhnian Normal and Breakthrough Moments: The Future of AI (Part 1 of 3)
Over the past fifty years, there have only been a few Kuhnian “paradigm shift” moments in neural networks. We’re ready for something new!
The Future of AI: Part 0 (Prelude) – Reductio ad Absurdum
A few weeks ago, I went to the Lihue-based Kaua’i Farmer’s Market for locally-grown fresh veggies. And, of course, I swung by the Kaua’i Master Gardeners booth. Now, I’d visited with these guys before. And yes, they knew that I taught AI at Northwestern. But still, my jaw dropped when the first question that one… Continue reading The Future of AI: Part 0 (Prelude) – Reductio ad Absurdum
A Kauai Christmas: Mai Tais & AI
We’re kicking off the “Mai Tai Thursdays” series … a few days early. Join us for our inaugural YouTube, with a semi-authentic Mai Tai preparation! (We use the original recipe; just a bit less rum.) Here’s the Mai Tai recipe that we used in our YouTube. One of our fave resources is this book on… Continue reading A Kauai Christmas: Mai Tais & AI
Variational Free Energy and Active Inference: Pt 4
Today, we interpret the q(Psi | r) and p(Psi, s, a, r | m) in Friston’s (2013) “Life as We Know It” (Eqn. 2.7) and Friston et al. (2015) “Knowing One’s Place” (Eqn. 3.2). This discussion moves forward from where we left off in the previous post, identifying how Friston’s notation builds on Beal’s (2003)… Continue reading Variational Free Energy and Active Inference: Pt 4