Show notes
DigFin teamed up with Guillaume Huet to explore how ChatGPT can help fintechs with business ideas.Guillaume Huet is an A.I. and data specialist and consultant.We asked ChatGPT to recommend the optimal business model if we were to launch a fintech startup today, with the goal of reaching $100 million in annual revenues within five years.Huet used his prompt process to get a deeper, more insightful response. Along the way we learned more about how language-learning models work, and discussed many of the ideas that it presented us.Timecodes:0:00 - Guillaume Huet and our project2:09 - Using language-learning models and external data3:36 - Guillaume's solution to apply GPT to our goal6:34 - Creating personas within GPT to interrogate our model9:20 - Promising if mixed results, and what to expect11:48 - Some of the fintech themes that GPT raised13:03 - What to make of answers that surprise14:44 - GPT's ideas about revenue models, like automating investment banking16:42 - GPT's suggestions for using emerging technologies, eg quantum computing19:23 - Jame's persona within the GPT asks some bizarre questions22:08 - GPT's thought process behind persistent themes, eg open banking24:42 - Predictive failure analysis and other new ideas27:57 - AR/VR in capital markets and other glimpses of the future