Bostrom presents five different paths to achieving superintelligence level. Having different paths to superintelligence is important, because if one path is blocked, we can still progress in another.

Artificial intelligence
- programming-based approach
- capacity to learn is an integral feature (a child machine, "seed AI")
- "evolutionary process", but enhanced and guided by human engineering (far more efficient than the natural evolution)

Whole brain emulation
- producing superintelligence by scanning and modelin the computational structure of a biological brain
- progress needed: scanning the brain, inputting the scanning data to automated image processing, the neurocomputational structure is implemented on a powerful computer
- no need for fundamental conceptual or theoretical breakthroughs, but some advanced enabling techologies should be developed

Biological cognition
- enhancing the functioning of biological brains
- manipulation of genetics, selective breeding, iterated embryo selection, reproductive cloning
- weak forms of superintelligence could be produced (however, weaker forms of superintelligence could help progressing towards stronger form, even if we were fundamentally unable to create machine intelligence)

Brain-computer interfaces
- computer interfaces are connected to human brains (f.ex. implants)
- the possibility for this kind of connection has been proved, but seems unlikely that problems related to this approach will be solved anytime soon

Networks and organizations
- connecting individual human minds with one another
- an invidual intelligence would not reach the superintelligent level, but the network could ("collective intelligence")

This is a series of blog posts summarizing Nick Bostrom's well-known book Superintelligence. My goal is to present the key points of each chapter in the shortest possible form. More about the writer https://nickbostrom.com/.