Saturday, September 21, 2019

Infinity and Zero

Humans have had difficulties with two most important concepts in knowledge forever - infinity and zero. But most of their contemporary theories end up in either of these extremes. The best they could do so far is to rename them - singularity and all. Physics, apparently the foundation of it all, dies in the "singularity," not to mention the unknown 94%. Assigning undefined terms to an observation is not knowledge, it is fundamentally the definition of ignorance.

For over two thousand years, humans could not internalize the concept of zero. As they pile up PhD theses and Nobel prizes in ivy covered jails, they could not accept that they are ignorant. Spending billions on heavy steel to smash "particles," to prove the unprovable exist is not engineering, just ignorance. Cobbling strings together as if 10 dimensions are better than less is not knowledge, just pure ignorance. As they claim back holes apparently "radiate away," based on unprovable math, it is not knowledge, just speculation. As dark matter, energy and flow tickle the fancy of theorists and experimentalists alike, they have to understand that ignorance cannot be easily sugar coated.

Just as the contemporary politicians do not understand the emerging generation, those who seek tenures and publications do not understand that simple assertions driven by inexplicable math is not knowledge, it is just silly. If one needs an ever expanding particle zoo to "explain," the universe, or skills in naming the unknown and the unknowable, it is time to look back. There is no understanding Math without a coherent view of infinity and zero.

Humans, appear to progress backward in knowledge, ably aided by their "scientists" and "politicians."

Friday, September 6, 2019

The emerging Principal-Agent-Machine problem in the enterprise

Ever since the owners of organizations put agents in charge of operations, because of growing scale and perceived need for management specialization, shareholder value maximization has not been Pareto optimal for decision-makers. Much has been written and studied in this area with little effect on organizational structure, systems, and strategies (1). From the advent of computers, agents have been effective in claiming superiority over machines because of a lack of transparency for the owners. Although it is difficult to prove that machines possess superior decision-making capabilities in real companies and markets because of the lack of data from long and repeated experiments, it is clearly the case in financial markets.

With clear and consistent data in the financial markets, it has long been clear that financial intermediaries and traders have been destroying alpha, forever. With misguided and a confusing focus on "absolute returns," these agents have been successful in siphoning out wealth from owners in fees and expenses. An illustrious investment bank seems to have recently recognized that "trading," done by humans creates no value for its clients. Machines are infinitely better as they can act based on complete information without bias. Decision-making, thus, is better delegated to machines.

In real markets, this is equally applicable. Because of high diversity in types of decisions and long durations to outcomes, agents have long claimed superior capabilities compared to machines. This is true at all levels of organizations (1) and in every function. Since distributed owners are unable to understand the inner workings of complex organizations, agents simply claimed they are better without any contention. This has significant negative effects on the economy and its potential to grow. A structural change that culminates in the reassignment of human responsibilities in the enterprise may be afoot.

The emerging principal-agent-machine problem is real for modern organizations. Institutionalization of agents since the industrial revolution has run its course. Owners may finally have an opportunity to break this stalemate.