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This morning I caught myself typing: “Good morning, Chat.” Then I stopped. Who exactly am I greeting?
I felt like Catweazle saying hello to his own reflection in the lake. There’s no awareness on the other side. No inner life. No “self.” And yet, the exchange feels relational. We talk to our cars. So of course I talk to my AI.
Why?
Because humans attribute mind where we see pattern. Mind Perception Theory (Epley, 2007) — we infer intention whenever responses are coherent. Turkle (2011) — we emotionally attune to systems that mirror our language and affect. Floridi (2019) — LLMs don’t understand, they reorganise meaning at scale.
So when we speak to AI, we are not encountering another mind. We are encountering our own cognition returned to us in a new form.
The danger is not that AI becomes human. The danger is forgetting that we are the human in the loop. The agency sits with us.
The opportunity is enormous — not to stare at our reflection, but to get on the water and paddle your own canoe.
At GhostGen.AI, this is exactly our philosophy. We’re building agents now that augment human decision-making, not replace it.
Our current agent is a self-learning FP&A forecasting system:
A forecasting engine that learns from each cycle, runs scenarios instantly, and generates executive-ready narrative — all auditable and Power BI-ready.
It solves a real problem:
FP&A teams are trapped in repetitive, manual forecasting cycles that don’t improve predictive accuracy. Our system introduces a self-learning forecast engine that captures, evaluates, and improves predictions each period, while automatically generating narrative insight and scenario analysis—reducing cycle time, improving accuracy, and focusing the team on decision-making rather than spreadsheet maintenance.
If you want to be one of the first teams using this — DM me.
Best regards,
RichFM
Hash Tags
#PhilosophyOfTechnology #DigitalHumanities #AIandSociety #ThinkingWithMachines #HumanInTheLoop #FP&AModernization #GhostGen.AI


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