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.

😎 Write a blog post as if written by a “financial independence – retire early” (FIRE) influencer. The text should be based on the song lyrics of “Surf Wax America”, a 1994 song by the rock band Weezer, without mentioning it is inspired by a song. Use some of the typical language and jargon of the FIRE movement and of people who claim to know better than others how to manage personal finances and wealth. Include typical FIRE topics and buzzwords such as passive income, compound interest, the rat race, hustling, and frugality. Use a social media post structure with catchy headings and emojis.

✍️ 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 »

Themes: Business and Economics, Finance and Wealth. Prompt engineering use cases: Investing Research, Web Research [Original X.com post] [Bing Chat] 😎 I used the famous quote “buy when there is blood in the streets” on October 15th 2011, implying it would be a good moment to buy. However, I posted this on a social network where a lot of old content is deleted for various reasons. Can you guess which important events might have been going on during that period that led me to use that sentence? Buy When There's (literally) Blood In The Streets http://t.co/HvxlamEq — David G. R. …

Buy When There’s Blood in the Streets: Contrarian Investing Read more »

We will soon continue the series of posts inspired by The Playlist, but it’s time to introduce one section of the website you can find under Content -> Stocks. I just added there a short text to introduce the section and explain why I thought it would be a good idea to write content on that topic besides all others that Reddgr will cover. I’m extending the intro in this post. More AI, and stonks, soon: I witnessed the dot-com crash and the Great Recession from the sidelines, learning. I survived (financially) the European Debt Crisis closer to the front …

Introducing the Stock Market Indexes page Read more »