Agreed. Fine-tuning GPT-3 is often called out as expensive and sometimes unnecessary given K-shot & embeddings. I'm glad they shared their success story even if it's not ground-breaking.
Thanks - we used to use a bunch of k-shot prompts (particularly with our previous idea before we pivoted when we got into YC), but with the davinci model we were sending ~3.5k tokens per invocation, which in the long term was costing far more than finetuning!