The book attempts to bridge the gap between algorithmic processes and practical decision-making in uncertain circumstances. It moves beyond mathematical solutions to acknowledge the complexity of real-world decisions. The author, Nicholas Mitsakos, argues that decision-making is essentially a form of statistical analysis that involves models or algorithms, and being thorough in this understanding confers a significant advantage. is a comprehensive text discussing decision-making under uncertainty and the algorithms that can enhance the decision-making process. It covers a wide range of topics, including applications in various fields such as air traffic control, drug discovery, autonomous driving, and more. The introduction sets the stage by discussing the importance of understanding and managing uncertainty in decision-making. It defines algorithms in the context of systematic thinking and approaches to problem-solving, emphasizing the significance of defining problems clearly to find obvious solutions.
Cryptocurrencies soar in value, plunge, hit new highs, are written off, rebound, and hit new highs again, and the cycle repeats. We should be terrified. Over the last five years, cryptocurrencies such as Bitcoin and Ether have outperformed the overall market. However, can the general trend of outperformance last, or will these digital assets drop over 90% like some of its other crypto brethren? Is there a sustainable performance that creates the foundation for either a new currency or a valuable asset class? Probably not. Forces that drive these eye-watering returns seem to be the same as those that drove the social media-driven insanity behind meme stocks such as GameStop. We are seeing social media mobs controlling demand to a limited supply, creating price spikes that look attractive to any speculative investor. Unfortunately, demand can dry up quickly and the price subsequently falls through the floor. Financial markets ruthlessly sort nonsense from substance. Volatility and existential threats have been brutal and extreme for digital assets and the reckoning for crypto has been predicted for some time. However, digital assets are not on their way to history’s dustbin. Reality is more nuanced, and I try to provide a more detailed analysis since a broad brush hardly seems appropriate. The weakest and craziest portions of the crypto world have been exposed as nothing more than silliness. But some valuable components remain resilient and offer tremendous opportunity. I will explore these in detail. There is more cause for optimism than pessimism among the best and the brightest. We will explore these opportunities while harshly dismissing the hype and silliness – avoid the terror of a worthless market.
Open markets, free global trade, and limited state interference lead to greater shared prosperity. Heavy-handed Industrial policy and state intervention impede progress. It’s the economy and inequality, trade imbalances, are not what drive shared global wealth. Industrial policy, restricted trade, government subsidy, and overall intervention are challenging to get right, and hoping to achieve multiple goals simultaneously. One subsidy does not tackle climate change, boost industrial and economic growth, or enhance security. It is bound to fail. Time to revisit how things actually work through incentives to innovate, sensible economic models, prosperity, and wealth creation. No other mechanisms drive change or address the world’s most critical issues.
Artificial intelligence is disrupting all software and services – when applied within narrow and specific parameters. It performs useful tasks and provides meaningful information for decision-makers but within well-defined data sets.AI still has significant limitations, and large language artificial general intelligence programs like ChatGPT (AGI) may not be the big leap forward many imagine. It is not the vanguard of a new era permeating every aspect of our professional, academic, and personal life. AGI’s usefulness is overstated, and it is not going to happen. Intelligence is not a lumbering statistical engine searching for patterns to generate a useful response. AGI is. The predictions of AGI are superficial and dubious. True intelligence is the ability to think and express improbable but insightful ideas (e.g., Einstein’s Theory of Relativity, Newton’s Laws of Motion, and many other improbable, insightful, and truly intelligent insights). Machine learning cannot do this. ChatGPT is a lumbering statistical engine searching for pattern recognition and feeding on incomprehensible terabytes of data and extrapolating the most probable answer. By contrast, the human mind is an efficient elegant system operating with small amounts of information. Human intelligence creates explanations. It does not infer conclusions by brute force and spurious correlations.
Isolationism, fragmentation, and pessimism always fail. Globalization has been everyone’s favorite punching bag for a while. It is hard to feel optimistic about its prospects. However, globalization has a better future. If you are a fan of globalization, cooperation, and comparative advantage, the last decade has been extremely challenging. Ten years ago was a time of optimism on a global scale. However, economic and geopolitical forces have combined to add friction and fragmentation to global exchange. The benefits are now even greater and with everyone’s self-interest and mutual benefit, this geopolitical stalemate will pass – more quickly than is commonly thought today. Cooperation, integration, and mutual benefit win in the end. It is time to be optimistic once again.
Our most intractable problems cannot be solved with behavior modification, conservation, or our existing technology, regardless of its advanced or widespread applications.
Only new knowledge creating innovative solutions can address our most intractable problems. This can only be achieved through basic scientific discoveries and then combining these discoveries with enterprise-based innovation, commercial discipline, and competition. Innovation, creativity, and competitive dynamics create the most effective innovations, the best solutions, and the most sustainable companies. Developing the best public policy as well as the best structure to enable innovative and creative solutions, as well as the economic incentive to scale these opportunities and make them economically sustainable.
Central planning, bureaucratic industrial policy, government-led economic management, and dictatorial focus have always failed, and always will.
Zero-sum thinking has begun. Despite comparative advantage, mutual cooperation, and specialization proving indisputably more beneficial than any other approach to economic interaction, this ideal is under threat. Rules and norms for economic integration lifted hundreds of millions of people out of poverty, created an order-of-magnitude increase in the average wealth of the Western population, and benefited countless hundreds of millions enabling a way of life otherwise unimaginable post-World War II. Now that system is under threat as developed countries subsidize alternative energy, attract manufacturing via expensive subsidies, and restrict the flow of goods and capital. Mutual benefit is out; national gain is now the highest priority. In other words, stupidity and zero-sum thinking have taken over. A handful of bureaucrats, regardless of how brilliant each may be, can never equal the mind of the market. Management and control usually spell disaster eventually. Managed focus on technological development for products and services the central government believes have greater substantial benefit to the overall society may not be calamitous, but the law of unintended consequences has not been repealed. It will be inefficient, substandard, and create potentially dangerous side effects. Innovation, creative freedom, and unstructured thought are essential components to the development of any technology of substance and disruptive benefit.
In his preamble to “The Theory of Relativity,” Einstein implored his reader to, “set aside your proud certainty” because he was about to present something quite revolutionary, iconoclastic, and, as he discovered for many years after publication, challenging to be broadly accepted. Of course, his insights would be vindicated, and would soon be considered one of the leading minds of the 20th century, and perhaps one of the great minds in scientific history. Einstein knew things that everybody else was ignorant of and was ignorant of things that everybody else knew. That was probably the key to his great thinking – he assumed no knowledge and didn’t confuse himself with the trivial or unimportant. Always explore, race to keep up, clear the field, and let other vibrant minds pass. It is the spark of human creation, analysis, and understanding that gives us a glimpse of nature’s fundamental beauty. We only touch a small fraction, and our hardest work and most diligent thinking expose a little bit more – and that is one of humankind’s most worthwhile pursuits. Set aside proud certainty; be indifferent to your failings and the cacophony of critics. See, question, verify, and question again.
Volatile stock and bond markets are not going away anytime soon, and investment strategies focused on discipline, market-tested algorithms, and the patience to withstand near-term turbulence will continue to deliver better results. As US stocks have dropped about 25% and US long-term treasuries dropped nearly 30%, specific strategies that combine futures, derivatives, and other securities along with market-neutral equity trading have produced superior returns. This impressive overall performance can be expected to profit from market movements and even market shocks that, while specifically unpredictable, will be inevitable from now on. In the face of dismal predictability and lack of confidence, it is discipline, time-tested algorithms, and a multi-strategy perspective toward broad market sectors that have outperformed and will continue to deliver superior risk-adjusted returns and better overall performance.
This book explores the next decade’s more frequent and intense economic, geopolitical, fiscal, and market volatility, technological innovation, disruption, and hype.
Long-term opportunity exists, and this book uses a 10-year horizon as a surrogate for a long-term perspective. Some of the world’s most important industries are being disrupted, especially finance via digital assets and Blockchain-based businesses, life sciences via gene editing, DNA sequencing, and CRISPR, and communications via advanced wireless data networks, software technologies including artificial intelligence, and new interactive platforms such as the Metaverse.