10 How I learned to stop worrying and love the chaos

This chapter covers

  • What continued generative AI development means for your next job and your next business startup
  • What artificial general intelligence is, and where it’s going
  • Whether AI should be regulated
  • What’s next?

I’m no stranger to change. In fact, I’ve often confronted disruptions face to face and bravely stared them down. Although, I suppose “staring them down” could also be interpreted as “willfully ignoring challenges and hoping they’ll go away.”

The changes I’ve “bravely confronted” mostly played out over months or years. It’s true, for instance, that Amazon Web Services dashboard interfaces undergo updates more often than I’d like. But they happen infrequently enough that I can largely account for them in my books and courses by de-emphasizing dashboards and instead focusing primarily on command-line operations.

By comparison, changes to my beloved Linux occur at what I affectionately call the speed of government, which means they seldom happen at all. Yay, Linux.

Generative AI—well, that’s something else. Just while I’ve been writing this book, I’ve seen products and services shift functionality, disable code patterns, update access policies, give up the struggle, and, if my memory serves me, completely disappear off the face of the internet. And some of that happened over the course of a few days! But you already know all that; it’s in the title.

What the workers of the world can reasonably expect

What your next business startup will look like

Artificial general intelligence: Where it’s all going

Should AI be regulated?

The road ahead

Quantum computing

Neuromorphic computing

Advanced hardware acceleration

Reinforcement learning and meta-learning

Multimodal learning

Explainability and interpretability

Data efficiency and few-shot learning

Domain-specific knowledge integration

Second-order effects

Investment markets

Human innovation

Employment markets

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