This chapter covers
- Generating accurate and reliable investment guidance
- Integrating large language models (LLMs) into your skill-adoption workflow
- Integrating LLMs into your daily work
It’s been said that AI won’t put anyone out of work, but that people using AI will put people not using AI out of work. Assuming, of course, that AI doesn’t end up killing us all first, what can we do to ensure we end up in the group of happy users and not the regret-filled outsiders sadly looking in?
Let me give you some context. I’m a lot older than you might think. I wrote my first book on sheets of paper using a pen. It may have been a very old technology, but it was solar-powered (translation: it was only useful when I opened a window or turned the lights on). Granted, I did later painstakingly type out that entire book into a computer. But I did so using sofware (WordPerfect 4.2 for DOS) that didn’t even have its own spellchecker.
My publishing career has enjoyed periodic boosts from new technologies ever since: my first printer (a hand-me-down from my brother-in-law), my first document scanner, my first internet connection (yup, that actually came after the printer and the scanner), my first DSL modem, my discovery and adoption of Linux, and so on. Each of those changes had a noticeable affect on my productivity and efficiency.