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August 2025

LLMs Don’t Have a Memory Problem — They Have a Provenance Problem

The 2025 Context Engineering Survey, which reviewed more than 200 research papers and enterprise pilots, cautions: “Simply enlarging an LLM’s context window does not guarantee reliable attribution or auditability; we still need explanation systems, audit mechanisms, and governance structures.” (Context Engineering Survey 2025 §4). Put differently, the problem isn’t raw memory capacity — it’s the provenance of the information we cram inside. This is exactly the rationale we followed when designing Context Units for our Pyrana platform.

Context Efficiency

It's funny I've spent years talking about tokens in all of my blockchain work. Whether it be NFTs or stablecoins, it seemed like tokens were everywhere. Now that we're diving in deep and trying to fix some problems with context in AI, it seems the topic of tokens (albeit a very different kind) is still center stage. The phrase "tokenization of the world" has taken on a new meaning to me.

Data Without Context is Useless

Enterprises plough well over $200 billion every year into data-warehouses, BI dashboards, and analytics suites,- and analysts now forecast the big-data analytics market to top $1.1 trillion by 2033¹. Financial-services firms alone spend $44 billion a year just on market-data feeds². Yet studies keep showing that roughly half of the information companies collect never gets used³.

The Role of Content Addressability in Context Units: Building Distributed Knowledge Systems

A technical exploration of how content-addressable storage principles enable robust, distributed knowledge management through immutable context units

Introduction

When we think about things our knowledge flows like water - it's hard to grasp why we know something or where we learned it (we sometimes don't stop to think about if it is even true), yet we are able to draw conclusions that we "think" are right. If we later ask "why did I think that" we can rationalize our thought process to explain/convince others, but that is usually done in hindsight. We like to think that logic and reason guided us to a conclusion, but most of our decisions are just made by our gut and we then justify them later. The more often we turn out to be right the less we are challenged and the more confident we are in our thinking.

Enhancing Digital Identity Verification

A Strategic Framework Against AI-Driven Identity Fraud

Abstract

The proliferation of AI-generated deepfakes has escalated threats of identity fraud in digital communications. This paper examines existing identity verification methods, introduces a strategic framework employing layered defenses to significantly increase attacker complexity, and proposes integrating cryptographic visual signatures alongside traditional verification methods. By analyzing attacker-defender dynamics using game theory, and referencing contemporary adversarial economics literature, we demonstrate the practical effectiveness of combining multiple verification modalities to deter identity fraud.