The process pictured below is intended to answer this question. It collects and distills financial and market information and systematically ranks AI companies based on key business and investment criteria. The algorithm is the gear labeled Algo1.
"Can an AI like ChatGPT identify AI unicorns before they explode onto the scene?"
How the Algorithm Works
Step 1 – ChatGpt is asked to define a list of markers. Markers are the attributes of a successful Unicorn.
Step 2 – Person works with ChatGPT to create empty data buckets in Excel to hold marker data.
Step 3 – Marker data buckets in Excel are filled with financial and market data by scouring the web. ChatGPT does the heavy lifting here. See 21 Markers for Palantir and Moderna in Excel
Step 4 – Define algorithmic logic needed to convert financial data into unicorn ratings. This is entirely done by ChatGPT. The algorithm consists of Python code and is saved as Algo1.py
Step 5 - Run the algorithm to fill unicorn rating buckets and make them available to the Unicorn Hunter application.