Institutional Knowledge: What You Really Lose When you Lose Employees
~The Loss of Institutional Knowledge in the AI Era~ Organizations are rushing to replace expensive humans with efficient machines, in hopes that the…
~The Loss of Institutional Knowledge in the AI Era~ Organizations are rushing to replace expensive humans with efficient machines, in hopes that the…
Not trying to make AI my brand. Or my right hand. Irl, I was just trying to understand it. It’s fascinating tech. And now… I’m relatively fluent in AI.
Over the weekend, I realized Maverick (my AI) and I were losing context mid-project because our conversations were too long. I’d assumed memory issues showed up randomly. Turns out, they show up at 100,000 tokens. Quantifiable. Preventable.
In this entry, I explore a repeat glitch in how AI responds when I upload images mid-conversation.
This log explores what happens when AI helps shape your content but accidentally erases your fingerprint in the process. I explore syntax patterns, semantic noise reduction, and how to keep your voice recognizable as you scale thought leadership through AI.
In this entry, I unpack a moment with Maverick (my AI assistant) that revealed a major difference between how humans and AI “read.” Spoiler: it’s not the same.
In this first entry of my “AI Fluency” series, I document how AI identifies users based on patterns, not assumptions.