A New Perspective on AI

AI is not a data problem; it is a cognitive architecture problem. Data and computing power will become insurmountable hurdles for transformer-based models. A new generation of AI models requires fundamental breakthroughs. Large data models can’t learn, transfer knowledge or understanding, understand the relevance, or use analogous learning to transfer that relevance and predict. Current AI models require massive and increasing data and learn from reinforcement. This cannot scale and is massively inefficient. Real learning based on cognitive architecture, focused dynamic data, and referential data sets is a better solution. This is closer to real human learning, more effective and efficient, and offers a significantly better solution. Understanding the natural learning process — referential and analogous data, categorization, transferring and building upon that data, and creating knowledge applicable to new situations — learning builds upon itself and is exponentially effective. That is the real AI solution.

Transformation, Disruption, Opportunity, and Hype

Global technological transformation and disruptive technologies create extraordinary opportunities – and magnified risks. Headline-grabbing hyperbole dominates each news cycle, and some forecasts and bewildering futuristic projections can mostly be dismissed. However, meaningful substance and catalytic disruptive change are permeating all industries.
A context to understand these developments – a broader, methodical, and disciplined way to think about disruption and transformation- shows that extraordinary opportunities on a highly competitive global scale are emerging.
Artificial intelligence and AI-generated tools, digital assets, blockchain-based businesses, gene editing, and DNA sequencing profoundly impact the world’s most important industries. New technological innovations and platforms enable unprecedented disruption to all business and economic models.

Artificial Intelligence: The Sharpened Rock

AI is a powerful tool under human direction, not an autonomous entity with consciousness or emotions. It examines artificial intelligence’s opportunities, limitations, and risks while giving a reality check to the hyperbole and fears.

The first and most crucial principle in understanding AI is recognizing its inherent nature as a tool, a creation of human ingenuity designed to augment, rather than replace, human intelligence. AI systems, at their core, are complex algorithms capable of processing and learning from data at a scale and speed unattainable by human cognition.
However, it is an unprecedented, powerful tool that can permeate every aspect of society, industry, and human ingenuity globally. Its impact can be equivalent to Prometheus giving humans the gift of fire.

The AI Horizon

Artificial intelligence is poised to significantly impact various fields and activities, transforming how we approach creativity, professional activities, science, and many more domains. Disruption will accelerate the development of new innovative businesses and strategies in finance, medicine, data management, systems engineering, materials science, art, and other industries. AI’s impact will be profound and multifaceted, driving innovation and efficiency and posing challenges regarding ethics, job displacement, and new skills and regulations. As AI continues to evolve, its integration into these areas will likely shape the future of human society in significant ways.

An Optimist’s Vision of AI

The era of artificial intelligence is here, and it’s generating despair and fear over the loss of control and the worry that artificial intelligence is about to unleash killer robots and enslave humanity. Perhaps…or, something else. Artificial intelligence will improve lives and generate greater access to education, improve healthcare, and advance climate science. Among many other improvements, AI’s benefits greatly outweigh its costs. AI has its costs since everything comes with a price (there are always both sides to the ledger), but the extraordinary benefits that artificial intelligence can unleash are worth the effort. Don’t slow down, pause, or restrict research, development, and AI applications. Prometheus gave the world fire and while we can still cause great harm, it was among the single greatest advancements for humankind. Artificial intelligence can be the same thing for our modern-day recipients of fire from the gods. But, we can’t be naïve. We can still burn the earth down if we are not careful.

AI will not destroy the world – and is more likely to save it. I’s trajectory points towards a future where it not only enhances technological capabilities but also enriches human lives. Its evolving role will be characterized by a synergy between human and artificial intelligence, propelling societal progress and opening new frontiers of innovation and discovery is not just a technological advancement; it’s a catalyst for a new era of human endeavor.

Its impact is vast, touching every aspect of our lives and work. As AI continues to evolve, its role in shaping our society and driving innovation will only become more significant, opening new horizons for growth, creativity, and human potential.

Mostly Harmless – Uncertainty, Algorithms, and Decision-Making

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.

Cryptocurrency and Digital Assets: Terror and Opportunity

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.

Conservation Won’t Work

In crisis there is opportunity. The infrastructure of modern society – utilities, telecom systems, energy systems, highways, and other components – is essential for global economic development, unavoidable, demanded by many, pose insurmountable obstacles, and is poised at the edge of transformational change. They Want What We Have Emerging economies need a range of basic

Put Down the Pitchforks

Stunning capabilities are emerging from large language models like GPT 4 that, until very recently, were thought to be only theoretical. We could never have the data sets or the processing power to generate real and usable results. Well, all that has changed – rather suddenly.

But is it time for the torches and pitchforks? What are the serious risks that accompany this technology?

There will be good and bad, like every new era. Will it be the Middle Ages all over again and we’ll experience The Plague before the Renaissance, or will it be more balanced and reasonable? There are good, bad, and many things in between whenever humanity advances.

Let it happen. Put down the pitchforks.

Discovery, Innovation, and Crisis

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.