Here’s some solid advice in case you are thinking about building (or even purchasing) an AI product:
AI products are typically an AI model wrapped in some packaging software. You can improve their performance in two ways:
1. Through engineering effort: using domain knowledge to build constraints into the packaging software
2. Through better models: waiting for AI labs to release more capable models
You can pursue both paths, but here’s the crucial insight: as models improve, the value of engineering effort diminishes. Right now, there are huge gains to be made in building better packaging software, but only because current models make many mistakes. As models become more reliable, this will change. Eventually, you’ll just need to connect a model to a computer to solve most problems - no complex engineering required.
That last sentence says it all.
Link to article.
