What I have learned after teaching nearly 100 hours of AI workshops

After nearly 100 hours of workshops on artificial intelligence, with participants ranging from retirees to enthusiastic start-up founders, HR professionals and job seekers, I have gathered a wealth of insights - and a growing sense of urgency that sometimes borders on anxiety. This article was prompted by a recent interview between Emad Mostaque and Peter Diamandis. It resonated strongly with many concerns I have encountered in practice myself. As Emad spoke from his experience as former CEO of Stability AI - known for their work with Stable Diffusion, the open-source text-to-image AI - our concerns converged, especially on the need for broad education and engagement with AI technology.

It is striking how little most people know about the current state of AI, even for technologies that are not the cutting edge of innovation, such as autonomous agents or near-AGI systems. This is not a small detail, but a gap that threatens to divide society into technologically privileged and laggards. Every workshop exposes this gap. I love surprising people with what AI can already do today - and how you can use structured prompt systems to get very targeted, correct answers from LLMs like ChatGPT or Copilot - but this is just the tip of the iceberg.

During these sessions, participants often ask about “the future”, but with AI, that rarely seems to look further than a few months ahead. Developments are so rapid that new models and capabilities appear every three to six months. That pace makes it difficult to bring the general public along and inform them properly. My mission has grown along with that pace: translating complex AI concepts into accessible knowledge for everyone. Yet you can only cram a limited amount into a three-hour workshop without people running away screaming.

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