The upside potential of superintelligence Would it be possible to allocate that sort of money instead to pushing AGI forward, or longevity? The world economy is able to generate these sums of money when it feels the need to do so. President Obama injected $4 trillion into the US economy when some banks went bankrupt in the 2008 financial crisis, mostly giving it to banks and insurance companies. (The term “singularity” has many definitions, but for present purposes, it can mean the time when machine intelligence overtakes human intelligence.) As a species, we haven’t really tried, and therefore it hasn’t happened. Nearly twenty years ago, Goertzel gave a talk arguing that the singularity could be reached in a decade if we really tried.
We could have had AGI by now if we had tried
The maths is complicated and scaling it is difficult. He thinks it probably hasn’t caught on because it is hard to do. (A knowledge graph is a way of showing the relationships between objects, events, and ideas.) This is an unusual tactic, but Goertzel has been doing it since the late 1990s. You can’t just glue these three types of systems together, but they can all contribute to the same large knowledge graph. Genetic algorithms are the simplest form of evolutionary learning, and they are powerful engines for creativity. His third approach is more unusual, and involves evolutionary learning, which uses algorithms that simulate natural selection inside a computer. Neural systems are now capable of logical reasoning, which has been a surprising development for many, but Goertzel thinks logic engines will continue to do it better. The second approach is to combine deep learning with symbolic AI, using inductive, deductive and abductive reasoning based on experiential data.
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