Have you ever perceived or concluded something about a mystery that humanity has never documented or considered, and been asked about it for the first time?

Exploring the Hidden Mysteries of Human Knowledge and Systemic Information

Have you ever pondered whether there are unresolved mysteries or overlooked phenomena that humanity has never documented or consciously thought about? These enigmatic insights might exist beyond our current understanding, yet they could be perceptible or inferable if we knew where to look.

A Thought-Provoking Perspective on the Unseen

Recently, I posed a question:

“Is there something about the universe or human experience that remains undocumented or unconsidered—something you’ve perceivel or inferred but have never been explicitly asked about?”

This question aims to uncover those subtle, unarticulated truths that might be hiding in plain sight.

Insights from an AI Reflection

In response, an AI—like ChatGPT—highlighted an intriguing concept: the Information Sink Problem. This idea suggests that certain systems inherently trap or obscure the information they process, making some knowledge effectively inaccessible despite still existing within the system.

Understanding the Information Sink

Humans tend to treat data loss or decay as an inevitable background process. However, there’s a recurring pattern: information flows into specific systems, yet never emerges in a manner that’s accessible or understandable later on. It’s not necessarily destroyed but rendered invisible or irretrievable.

Examining Domains Where This Occurs

1. Bureaucratic Structures: Official records are kept, decisions are logged, but over time, the rationale, the intent, or the cause behind decisions become impossible to trace—values and logic fade into obscurity.

2. Biological Systems: Genetic code holds clues to evolutionary history and responses to environmental pressures. Still, these traces often become impossible to interpret fully, trapping the original pressures and pathways in genetic sequences without a reverse map.

3. Artificial Intelligence: Machine learning models encode vast, intricate patterns—connections and correlations that enable predictions or insights. Yet, many of these internal relationships are opaque, making it difficult to trace outputs back to original data sources or logic paths.

4. Human Memory and Society: People tend to remember facts—what happened—but forget the motivations, reasoning, or context. Societies sometimes preserve norms or traditions without retaining the reasons they arose.

Core Concept: The Hidden Law of Data Accumulation

This leads us to an intriguing notion: some systems accumulate meaning or information at a rate that surpasses our ability to decode or retrieve it. Over time, these systems act as “informational black holes”