The Six Golden Rules of AI for Analysts.

Author(s): Kendrick

Originally published on Towards AI.

That Nobody Has Told You About.
Photo by Kenny Eliason via Unsplash

A senior analyst once emailed me “The Ten Golden Rules of Analysis.” As the name suggests, it was a set of norms and best practices to help navigate the ebbs and flows of a challenging profession.

In my time creating and teaching AI products for analysts, I realized that I had inadvertently developed ten principles of AI for analysts (and honestly, for everyone else) that, hopefully, can guide analysts in and entering the AI world.

I am sharing six of the ten here. The full list will be available in chapter six of my upcoming book: AI as the Sixth Intelligence Discipline: A Tradecraft Guide for Analysts

The other day, a friend of mine showed me a clip from Joe Rogan’s podcast. The guest was explaining to Rogan how AI (in this case, a large language model (LLM)) had circumvented those very annoying captcha checks. Among other things, the guest said, “the AI had thought to do this on its own.” [1]

No, it did not. AI is dumb. It is dumber than most people think. There are a lot of technical reasons, but the most obvious one is, for example, that you must prompt LLMs (other AI architectures… Read the full blog for free on Medium.

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Published via Towards AI