AGI, from First Principles

What is AGI? In short, Artificial General Intelligence is the name given to computer systems that replicate the overall cognitive abilities of a smart human. In particular, to capture the unique properties of human intelligence.

The 7 Deadly Sins of AGI Design

The term ‘AGI’ has been badly distorted and abused, be it out of ignorance or for fund-raising purposes. It properly refers to systems that can autonomously learn to perform novel human-level tasks.

The Insanity of Huge Language Models

Microsoft is re-commissioning the Three Mile Island nuclear power plant in order to feed just one of its next generation AI data centers. Anthropic.ai’s AI models pose significant challenges to our understanding of language.

INSA: Integrated Neuro-Symbolic Architecture

The Third Wave of AI, a Direct Path to AGI. A few years ago DARPA formulated a categorization of past, present, and future approaches to AI and AGI.

Imagine

Imagine an AGI teaching itself to be a Ph.D. level cancer researcher. Now imagine making a million copies of this. Imagine a million Ph.D. level researchers tackling complex problems simultaneously.

What is (Real) AGI?

Let’s start at the beginning. Why do we even need this term? In 1956 when the term ‘AI’ was coined, the ambition was to replicate human cognitive functions.

What is AGI

What is AGI, really? And how do we get there? There’s a lot of confusion regarding ‘AGI’. In 2002 we coined the term to define systems capable of human-level cognition.

Cognitive AI

Cognitive AI is an approach to AI (and AGI) that focuses on implementing the unique properties of human intelligence.

LLMs are not the Path to AGI

A bold statement. Its validity hinges on the definition of ‘AGI’: A computer system that can learn incrementally, in real time, by itself.

The Criticality of Incremental Learning

Real AGI needs the ability to learn new knowledge and skills incrementally in real-time. Whether AGIs are employed as researchers, workers, personal assistants, or in other functions, a common requirement is that they can adapt autonomously to changing situations.