Implementing an Artificial Intelligence on a Blockchain
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Implementing an Artificial Intelligence on a Blockchain
The origin of the so called mempool flood of 2015 (a.k.a. SPAM attack or Moby Dick (https://twitter.com/laurentmt/status/885822288410677248?lang=en)) on the Bitcoin blockchain is a well preserved secret to date. Many have analyzed how these transactions were created, chained and mined. At the "Breaking Bitcoin" Conference of 2017, a talk (https://www.youtube.com/watch?v=eCE2OzKIab8&t=4329s) was even held on the topic, but few new insights were revealed. According to a 2015 paper (http://cs229.stanford.edu/proj2015/225_report.pdf), UTXO set size and structure should be unpredictable in a system like Bitcoin. Non the less, somehow a very linear structure for median lifetime of UTXOs consumed in blocks was discovered looking back to 2015.
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So what happened? This questions occupied our speaker Konstantinos Sgantzos for weeks. He now has a theory (https://www.researchgate.net/project/Implementing-A-Church-Turing-Deutsch-Principle-Machine-on-a-Blockchain) as to what could have been the origin of the observed transactions...
Konstantinos Sgantzos
Konstantinos Sgantzos is a software engineer who, after earning his MSc in Theoretical Physics & Biochemistry, is now a candidate for MSc in Bioinformatics. He is an environmental scientist in power oil and energy with specialty in air pollution. He is specialized in AI, cellular automata, turing complete machines, genetic algorithms. Fields of interests include but not limited to research in genetic disease diagnosis & cure using Big Data Mining techniques and mi-RNA, Si-RNA and CRISPR/Cas9 methods.
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