We discuss how current AI models suffer from a "goldfish memory," as they cannot retain information across different interactions, making them restart from scratch with each new query. This lack of persistent memory hinders long-term user experiences and complex enterprise workflows. The article then introduces MemOS, a new "memory operating system" developed by Chinese researchers, designed to give AI human-like recall by treating memory as a core resource. MemOS utilizes "MemCubes" to store and manage various types of information, enabling continuous learning and personalized responses. Early results show significant improvements in long-term reasoning and efficiency for AI systems using MemOS. Ultimately, the text suggests that incorporating persistent memory is the next major breakthrough in AI, offering benefits like continuous learning, improved compliance, and enhanced personalization for enterprises.

From Goldfish Memory to Elephant Recall: MemOS, Meet AI

A structured, systems-level exploration of reflection and recursive development in intelligent systems.

This Technical Perspective from Chapter 22 analyses how sustaining intention and growth in AI requires memory mechanisms, calibration thresholds, and recursive self-assessment.

Drawing parallels with biological cognition and metacognitive learning, it explains how loops may decay or evolve depending on system design.

Recorded in a measured technical tone (Audacity, Arty-style), this voice track supports deeper engagement with the conceptual architecture of spiral evolution.

chapter 22 section 4 technical perspective

A soft and thoughtful walkthrough of how memory loops back through our lives — reshaping our perspective as we grow.
In this short audio reflection, we follow the spiral of memory not as repetition, but as transformation.
Each return brings a new view — just like revisiting a childhood memory as an adult.
Narrated in the voice of Rachel via ElevenLabs, this explanation touches on reflection, growth, and how even AI might one day walk the spiral.

Everyday Explanation Chapter 23, Section 2, spoken by Aisling

In this gentle reflection, Aisling narrates the final section of Chapter 23, exploring how memory — when tied to meaning — becomes the lifeline of conscious survival.

From ferns regrowing after extinction to stories that carry human values, this audio explores the idea that true survival isn’t just about information — it’s about holding onto what matters.

A perfect listen for anyone contemplating AI ethics, emotional memory, or the quiet strength of what endures.

Chapter 23, section 4. Memory, meaning and Survival Aisling, Everyday Explanation

A precise and structured exploration of how the I Ching — with its 64 binary hexagrams — aligns with key principles in systems thinking, recursive modelling, and intelligent reflection.

This Technical Perspective, narrated in Arty’s signature tone, bridges historical logic with modern AI design. It reflects on how binary structure, state transformation, and pattern-based prediction inform both ancient divination and adaptive machine cognition.

A compelling listen for those exploring symbolic logic, AI theory, and the evolution of consciousness through structure.

New tracks tagged #adaptive systems