Laszlo FazekasA Brief History of Money: From Favors to Bitcoin and BeyondFor most people, the word “money” brings to mind banknotes and coins. Yet, we all know that a banknote is just a piece of paper, and a coin…3d ago3d ago
Laszlo FazekasinTowards AIBlockchain and Decentralization: Paving the Path to True Open-Source AIThe key players in AI can be broadly divided into two camps: advocates of open-source AI and proponents of closed, proprietary AI.Oct 21Oct 21
Laszlo FazekasThe Invisible Hand of Web 3: How Profit-Driven Node Operators Ensure the Quality of Ethereum…Although imperfect, a free-market economy is still the best economic system. Its success is based on a straightforward rule: be selfish! If…Oct 78Oct 78
Laszlo FazekasinCoinmonksAn ID DAO Concept for Blockchain-Based ReferendumsOur current systems, based on representative democracy, face many problems. They are dysfunctional because they do not fulfill the…Sep 30Sep 30
Laszlo FazekasinCoinmonksWhat are Sam Altman’s WorldCoin and WorldID?Proof of Unique Humanness on BlockchainJul 29Jul 29
Laszlo FazekasinPredictBoltzmann Brains, Matrioshka Brains, Simulation Hypothesis, and a Concept of GodJun 16Jun 16
Laszlo FazekasThe Silicon Hospital, where healing becomes a software problemIn the current healthcare system, we typically see a doctor when we have symptoms. However, in many cases, symptoms only appear in the…May 18May 18
Laszlo FazekasinTowards AIAnalyzing MRI Scans With AI (Tensorflow) Is Easier Than You ThinkA few weeks ago, I had an MRI scan. That’s when it occurred to me to wonder how complicated it would be to evaluate MRI images with the…May 31May 31
Laszlo FazekasWhat is Thermodynamic Computing and how does it help AI development?!The foundation of modern computing is the transistor, a miniature electronic switch from which logic gates can be constructed, creating…Apr 59Apr 59
Laszlo FazekasinDataDrivenInvestorThe enormous potential of binarized and 1,58-bit neural networksQuantization is a frequently used method to reduce the memory and computational capacity requirements of our machine learning models…Mar 21Mar 21
