"Imagine having a hundred brilliant minds working on your hardest problems. But a genius without context is just a smart person operating in a vacuum. Hand them a legal brief with no background on the client, and their output is generic at best. The intelligence is real, but the usefulness is limited."
"What changes everything isn't adding more geniuses. It's the briefing before they walk into the room. That briefing - the situational awareness, the organisational memory - is what a context engine provides. And it's almost entirely missing from how most people are using AI today."
"In the early days, the metric everyone tracked was index size - how many websites had Google crawled. More pages meant better search. But analysts eventually realised that did not give Google a long-term sustainable advantage. That came from the fact that Google knew you."
The current AI debate focuses on model intelligence, but the key issue is the lack of a context engine that provides necessary background information. A genius without context produces limited results. The context engine offers situational awareness and understanding of user needs, which is essential for effective AI outputs. Google's evolution illustrates this point; while index size was initially prioritized, long-term success came from understanding user intent and context. The AI landscape is currently in an index phase, lacking this critical contextual layer.
Read at ComputerWeekly.com
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