There is a revolution underway, and we didn’t need AGI or even fully autonomous AI to spark it.

The next question, of course, is how to adapt to revolutionary change.

But like handing off vast swathes of scientific research to automation, letting your brightest minds focus on the most-critical work instead of grinding out every step only empowers you further and speeds everything forward.

The steady elimination of genetic flaws will eventually remove every inborn weakness weighing down each of us, while improvements in both the technology and our understanding of genes will lead to augmentation - selecting genetic advantages to our health, intelligence and other traits.

And that’s leaving aside the most basic, such as adequate sleep, nutrition and exercise, not to mention being well read, insightful, and motivated.

Whether or not any lone biological human has hit superhuman capabilities as yet is unknown, but they probably wouldn’t announce it if they did.

Or an AI EXOcortex providing constant augmented reality assessments of your environment while instantly tackling any task or challenge which presents itself without being asked.

Essentially anything which improves a person’s physical or mental capabilities counts.

Consider biotech interventions like nootropics (smart drugs), genetic engineering or cybernetics.

Or AI assistance such as chatbots handling coding or data analytics for you.

If you enhanced someone already operating at a level most exceptional people would already perceive as superhuman, what would improving their capabilities by roughly 10% do?

What about 50%?

While it’s an open question as to whether we have geniuses of this caliber alive today, much less how many, we clearly do have many people of either genius or near-genius intelligence.

So in effect, with minimal schooling and one good book, he didn’t so much as outperform a century’s worth of mathematicians, as outperform them by more than fifty-times over.

What is the point?

These are merely human geniuses and, to the best of our knowledge, not enhanced in any way.

In two years, he rederived a century’s worth of mathematics while also developing many theorems original to him alone. One of his many theorems became the foundation of superstring theory in physics, for example.

Srinivasa Ramanujan, on the other hand, was a young man who could only attend early schooling before he had to go to work to help support his family. He came into possession of an excellent math textbook which was about a century out of date.

Leonardo daVinci, the classic “Renaissance man,” was a master and innovator in many fields - anatomy, invention, engineering, geology, painting, sculpture - with many of his accomplishments being centuries ahead of his contemporaries.

Speed superintelligence.

It’s already here, it's just not widely distributed.

And finally, quality superintelligence sounds challenging, but we forget how close we are already.

What Google DeepMind has done is demonstrate that every critical area of study which can be automated by AI ultimately will be.

Are you looking for promising metamaterials? Better designs for aerospace, be they wings, engines or fuselages?

And that is only the beginning.

Those five projects are all targeting key areas which can dramatically advance technology - AlphaFold in biotech, and the other four, ultimately, in essentially all of sci/tech.

But again, that’s just a step.