Today’s post contains an easy practical use case for multimodal chatbots that I’ve been wanting to test and show here for quite some time, but it still proves we’re far from expecting reliable ‘reasoning’ from LLM tools when incorporating even fairly rudimentary visual elements such as time series charts. I challenged ChatGPT 4o (as discussed in an earlier post, o1 in the web app still does not support image input), Gemini, and Claude to analyze a stacked area chart that visually represents the evolution in the net worth of an individual. After several attempts and blatant hallucinations by all models, I share the best outputs which, as usual in most of the SCBN battles published on Talking to Chatbots, were those from ChatGPT.

✍️ This chat is a continuation of What Are the Main Asset Classes One Can Invest in? The original chat showcased the chatbot’s capacity to analyze a list of financial asset classes and provide further insight, which I used to create a Canva infographic. The analysis of the classification of asset classes led me to pose the question of how crypto assets should be classified, a major topic of debate after the U.S. Securities and Exchange Commission (SEC) presented charges against Coinbase. The SEC claimed that some of the crypto assets traded on their platform were securities, not commodities as …

Are Crypto Assets Commodities or a Different Asset Class? Read more »