What was I made for: Large Language Models in the Real World
I asked Chat GPT-4 questions on economics, markets, energy and politics that my analysts and I worked on over the last two years. This piece reviews the results, along with the latest achievements and stumbles of generative AI models in the real world, and comments on the changing relationship between innovation, productivity and employment. The bottom line: a large language model can process reams of text very efficiently, and that’s what it’s made for. But it cannot think or reason; it’s just something I paid for. Upfront, a few comments on oil prices.