Of the five 2024 Nobel Prize awards made in physics and chemistry, we can reasonably say that three out of five went to Google employees (Demis Hassabis & John Jumper) or former employee (Geoffrey Hinton). Of the two remaining awards, one went to an academic researcher (David Baker) who collaborated with a Google employee ,… Continue reading AGI Wars: 2024 Nobel Prize Award: Part 1- Physics
AGI Wars: Emerging Landscape
We can now identify three well-known base-types of AGI likely to emerge within the next few years, as well as a potential fourth. This blogpost accompanies a YouTube (thumbnail below), which is still under development. By “base-type,” we are referring to the foundational method on which the AGI is built. We have identified three such… Continue reading AGI Wars: Emerging Landscape
Free Energy Principle Plus Semantics
This post accompanies a YouTube published on Sept. 15, 2024, which follows up on a suggestion made by Sharif that we consider a paper by Ramstead, Friston, and Hipólito (2020). This paper is titled “Is the Free-Energy Principle a Formal Theory of Semantics? From Variational Density Dynamics to Neural and Phenotypic Representations.” It is, indeed,… Continue reading Free Energy Principle Plus Semantics
AGI: RGMs, JEPA, and CORTECONs(R): Three AGI Building Blocks
This blogpost accompanies the YouTube “AGI: Three Foundation Methods – RGM, JEPA, and CORTECONs(R),” published Sept. 12, 2024. In this YouTube, we identify three ways in which to follow up with us: Here’s the details for each. Level 1. Self-Study on CORTECONs(R) We identify several steps for a gentle, hands-on introduction to CORTECONs(R) – more… Continue reading AGI: RGMs, JEPA, and CORTECONs(R): Three AGI Building Blocks
Contrast-and-Compare: Friston et al. (2024) and Hafner et al. (2022)
This blog is in progress. (AJM, Friday, Aug. 30, 2024; 09:00 AM HI Time) This blogpost accompanies the YouTube on “AGI: Action Perception Divergence (APD) vs. Renormalizing Generative Models (RGMs)” This blogpost – and the accompanying YouTube – is in response to a question asked in the Comments section of the prior YouTube. Here’s that… Continue reading Contrast-and-Compare: Friston et al. (2024) and Hafner et al. (2022)
Big AGI Breakthrough: Leveling the Playing Field
Three weeks ago, the AGI world tilted on its axis. More specifically, Friston et al. (2024) introduced an evolutionary advance in active inference, which they call renormalising generative models (RGM). This blogpost addresses three key questions: Here’s the YouTube that accompanies this blogpost: Background Friston’s evolution of active inference is one of the key methods… Continue reading Big AGI Breakthrough: Leveling the Playing Field
How Training LLMs Is Like Salmon Farming (Three Parallels)
Last night, a bit blurry-eyed from video editing, I cruised the latest AI news to find yet a new trouble-spot with LLMs. When an LLM is recursively trained on its own output, then that LLM’s output becomes progressively degraded. I went to bed with that thought swimming in my head … and woke up with… Continue reading How Training LLMs Is Like Salmon Farming (Three Parallels)
Action Perception Divergence: A Potential AGI Contributor
One of the two “world model” methods that we’re considering for AGI is APD (Action Perception Divergence), an evolution of active inference, introduced by Hafner et al. in 2022. This blogpost accompanies the fourth vid in the AGI YouTube series. Previously in This Series … This blogpost is fourth in a series, as is the… Continue reading Action Perception Divergence: A Potential AGI Contributor
Comparing Three Leading AGI Contenders (Part 1 of Many)
The primary focus of this blogpost and the corresponding YouTube is on LeCun’s architecture, centered on the (Hierarchical) Joint Embedding Predictive Architecture (JEPA, or H-JEPA). This will be foundational to a contrast-and-compare with Action Percept Divergence (APD) (Hafner et al., 2022), which we’ll evolve over this Summer, 2024 YouTube/blogpost series. This blogpost accompanies a YouTube… Continue reading Comparing Three Leading AGI Contenders (Part 1 of Many)
AI Legislation, Safety, and Mis-Use Cases
It’s more than just legislation – although a “generative AI labeling” bill is in committee in both the U.S. Senate and the House. California has just passed a first effort at legislating extreme AI behaviors, and Texas (another bellwether state) also has AI legislation in committee. So let’s start with a quick recap of WHY… Continue reading AI Legislation, Safety, and Mis-Use Cases