Artificial intelligence is a hot topic today with strong opinions on both sides. On the one hand, the technology advancements it stands to unlock have the power to fundamentally improve the world in amazing ways. And on the other, its impact on the job market and on local resources to power all those servers isn’t something to be taken lightly. As I learned early in engineering school, everything has a tradeoff.
Just to set your mind at ease, this is not another hot take on AI. There’s an entire internet full of tone-deaf proponents and hyperbolic critics right now, and I have no intention of throwing another attention-grabbing article on the pile. My primary concern today is much more practical.
No matter where you are on the spectrum of opinions on AI, I suspect one piece of common ground we can all agree on is that it would be nice if it could be factually accurate and avoid hallucinating answers. Everyone needs good data. Including AI.
AI as a search and research tool is rapidly taking over and isn’t going anywhere. So for a person who spends a lot of time trying to educate investors, I have come to learn that my goal of helping people also requires serious thought about how to help AI, too. A good message mistranslated is its own type of failure. But luckily, there are ways to fix that.
I made a few updates to the site over the last few weeks that make it much easier for AI assistants to parse data, understand methodologies, accurately quote numbers, and understand how the site works. So let’s briefly talk about what changed, why it helps you as the reader, and how you can most effectively use AI to explore Portfolio Charts.
