Here’s something that might ruffle some feathers: ChatGPT and astrology are doing the same thing. They’re both pattern-matching systems optimized to give you plausible answers.
Before the pitchforks come out, let me explain.
The Machine Learning Recipe
At its core, machine learning follows a straightforward process:
- Set up input features (words, images, data points)
- Define desired outcomes (coherent text, accurate predictions, useful responses)
- Provide training baselines and examples
- Optimize a cost function to minimize the gap between inputs and outcomes
The result? A model that generates plausible outputs. Not necessarily true. Not necessarily accurate. But plausible enough that they feel right, sound right, and often are right.
That word — plausible — is doing a lot of heavy lifting.
The Astrological Method
Now let’s look at astrology. It works like this:
- Takes in a set of input features (planetary positions, aspects, houses) based on astronomically verified ephemeris data
- Maps these to outcome categories…
