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We have old ways, and humble expectations. Let that not sway us from the path that leads to abundant intelligence. What we suffer from is intelligence deficit, not excess intelligence.

My position on the matter is that our civilization lacks sufficient intelligence, especially of the technical variety, and improving our intelligence many-fold is not only desirable but of utmost necessity.

Multiplying our intelligence should not be regarded as an existential risk. However, the intelligence deficit has already incurred an existential risk in the form of anthropogenic global warming which has caused an ongoing mass extinction event. Natural stupidity can kill us all.

The risk posed by malicious or accidental uses of AI tech is dwarfed by its potential to create abundant new wealth that is orders of magnitude greater than the entire world economy.

When we focus on the potential malicious uses of AI tech, that is a better security model to consider than bad programming. Counter-measures are important in those cases, however like with most technology, mastering the technology itself will be necessary to accomplish that.

Focusing on improbable disaster scenarios does not improve our understanding of security, however it may impede our research in the sense of disregarding more urgent and realistic types of harm that might be caused by AGI systems.

The Great Intelligence Deficit
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Eray Özkural

Eray Özkural has obtained his PhD in computer engineering from Bilkent University, Ankara. He has a deep and long-running interest in human-level AI. His name appears in the acknowledgements of Marvin Minsky's The Emotion Machine. He has collaborated briefly with the founder of algorithmic information theory Ray Solomonoff, and in response to a challenge he posed, invented Heuristic Algorithmic Memory, which is a long-term memory design for general-purpose machine learning. Some other researchers have been inspired by HAM and call the approach "Bayesian Program Learning". He has designed a next-generation general-purpose machine learning architecture. He is the recipient of 2015 Kurzweil Best AGI Idea Award for his theoretical contributions to universal induction. He has previously invented an FPGA virtualization scheme for Global Supercomputing, Inc. which was internationally patented. He has also proposed a cryptocurrency called Cypher, and an energy based currency which can drive green energy proliferation. You may find his blog at https://log.examachine.net and some of his free software projects at https://github.com/examachine/.

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