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Kindle Notes & Highlights
by
Max Tegmark
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October 31 - November 19, 2023
None of the bots came close to matching human intelligence, and most of them looked nothing like humans. But they dramatically disrupted the economy, and over the years to come, they gradually replaced most of the workers in manufacturing, transportation, warehousing, retail, construction, mining, agriculture, forestry and fishing.
But beauty is in the eye of the beholder, not in the laws of physics, so before our Universe awoke, there was no beauty. This makes our cosmic awakening all the more wonderful and worthy of celebrating: it transformed our Universe from a mindless zombie with no self-awareness into a living ecosystem harboring self-reflection, beauty and hope—and the pursuit of goals, meaning and purpose.
Life 1.0 is unable to redesign either its hardware or its software during its lifetime: both are determined by its DNA, and change only through evolution over many generations. In contrast, Life 2.0 can redesign much of its software: humans can learn complex new skills—for example, languages, sports and professions—and can fundamentally update their worldview and goals.
Life 3.0, which doesn’t yet exist on Earth, can dramatically redesign not only its software, but its hardware as well, rather than having to wait for it to gradually evolve over generations.
“Life 1.0”: life where both the hardware and software are evolved rather than designed.
“Life 2.0”: life whose hardware is evolved, but whose software is largely designed. By your software, I mean all the algorithms and knowledge that you use to process the information from your senses and decide what to do—everything from the ability to recognize your friends when you see them to your ability to walk, read, write, calculate, sing and tell jokes.
Life, defined as a process that can retain its complexity and replicate, can develop through three stages: a biological stage (1.0), where its hardware and software are evolved, a cultural stage (2.0), where it can design its software (through learning) and a technological stage (3.0), where it can design its hardware as well, becoming the master of its own destiny.
The holy grail of AI research is to build “general AI” (better known as artificial general intelligence, AGI) that is maximally broad: able to accomplish virtually any goal, including learning.