Here is yesterday’s presentation to Türk Bilişim Vakfı (Turkish Informatics Foundation) titled AI Revolution that merges some insights from previous papers and talks with some new bits thrown in.

AI Revolution

 

In this presentation, I examine the revolutionary changes that the AI field has brought from philosophical, scientific and business perspectives. I begin with an introduction to philosophy of AI, and touch upon the philosophical repercussions of the algorithmic information theory approach. I then move onto my axiomatization of AI, and I give a rough timeline of AI milestones based on Solomonoff’s historical account of AI development, and some recent developments in deep learning and general-purpose AI. Subsequently, I examine the business view with the current AI startup landscape, the concepts of labor automation, and trends. Finally, I explore the future of AI by discussing the Infinity Point theory, and my version of it using Koomey’s law. I present a worst-case argument for when large-scale human-level AI adaptation will occur based on a macro-economic analysis of the cost and proliferation of whole brain simulation technology.

I also briefly introduced the Celestial Intellect Cybernetics AGI Platform in a separate presentation. I was quite pleased to witness such an enthusiastic audience, the audience directed insightful and interesting questions.

 

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Artificial Intelligence Revolution

examachine

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 http://log.examachine.net and some of his free software projects at https://github.com/examachine/.

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