Every major AI lab is racing to build artificial general intelligence. But what if the missing layer is not more intelligence, but continuity? In Accelerating the Development of AGI, Francisco J. Mayorga, Jr., creator of the Mnemosyne AI Continuity Framework, argues that today's AI systems suffer from a structural condition he calls Brilliant Amnesia: the ability to reason powerfully in the moment without reliably carrying understanding, judgment, and verified meaning across time.
This book challenges one of the central assumptions of the AI race: that greater capability alone will produce durable intelligence. Mayorga argues that intelligence must not only perform. It must persist. It must preserve causal lineage, verify what it inherits, adapt when the world changes, and shape future action without losing the thread.
Written for leaders, builders, researchers, founders, and technically curious readers, this book introduces the idea of an Intelligence Compounding Engine: a way of thinking about AI systems that do not merely generate outputs, but accumulate governed understanding over time.
Inside, you will explore:
- Why memory, retrieval, and continuity are not the same thing
- Why context windows and RAG systems create the illusion of continuity
- How hallucination can be understood as a continuity failure
- Why human governance remains essential in high-stakes AI systems
- How organizations can move from episodic AI outputs to cumulative intelligence
- Why continuity architecture may become one of the most important layers in the path toward reliable AGI
This is not a technical manual or a build-it-yourself guide. It is a strategic and conceptual wake-up call: if intelligence cannot survive time, it cannot compound.
Capability makes intelligence possible. Continuity makes it cumulative.
