Key insights
- The author expresses strong skepticism about the reliability of AI for investment analysis, citing issues with data accuracy, narrative creation based on assumptions, and an inability to critically evaluate business fundamentals. The author suggests AI tools are prone to errors and biases, making them unsuitable for sound investment decisions. This could slightly dampen enthusiasm for AI-driven investment platforms.
Imo this needs to be addressed with an abundance on AI slob. It hallucinates, it fails at basic tasks, it creates a narrative on assumptions. I have played around with it quite a bit - and honestly - its almost useless. Even kids are using AI for a synonym for trash. I am well aware this is not valueinvesting - but also 95% of the posts here are not - its more like a growth at any price forum.
Ever pulled data using AI only to double check it messed up the abbreviations? I have. Ever had it miss the latest annual report when making conclusions? I have. Ever had it create an obviously wrong narrative? I have. Ever had AI fail at basic math? I have.
AI are yes sayers; if you present a bull thesis it will in many cases agree. I have prompted mine to disagree/evaluate both sides - but often I notice it will disagree with things that are obviously true. It does not think - It cannot evaluate moats. It reads a TAM and it assumes its true - it does not think.