A New Perspective on AI

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.

Globalization Under Threat

Globalization Under Threat

The paranoia is building. From the CHIPS Act to proposals for absurdly high tariffs (60% on goods from China isn’t going to help anyone) to banning TikTok, the world is on the verge of reversing decades of progress and exchanging real progress for delusionary gains.
Efforts to localize production and economic development with vast government subsidies are being proposed or enacted in the United States, the EU, China, India, and any other economic center that can think of it.
Hiding behind walls has never worked and makes life worse for everyone.

Transformation, Disruption, Opportunity, and Hype

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.

The AI Horizon

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.

A Golden Age of Miraculous Cures…Perhaps

A Golden Age of Miraculous Cures…Perhaps

The first gene-edited approved drug (treating sickle cell anemia) is the first commercial rewriting of human genomes. Is this a new “Golden Age” for medicine? There is great promise, and the potential to treat unmet medical needs, scale dramatic innovations to commercial applications, and transform life sciences is enormous. Since every medicine is an intersection of scientific, technical, and clinical understanding, many new treatments are suddenly arriving because of the convergence of dramatic advancements in science, technical knowledge, and clinical results. Modern medicine is witnessing a transformative era of groundbreaking innovations and technological advancements. We are witnessing a renaissance in drug treatment driven by innovations in immunotherapy, weight management, vaccine development, gene editing, and AI. These advances reshape medical treatments and fundamentally alter our approach to health and disease. As these technologies mature and their applications broaden, the future of medicine holds unprecedented potential for improving human health and longevity. A golden age – with a bit of hype.

An Optimist’s Vision of AI

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.

Globalization and Optimism

Globalization and Optimism

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 a time to be optimistic once again.

Discovery, Innovation, and Crisis

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.

Industrial Policy – Stupidity by Another Name

Industrial Policy – Stupidity by Another Name

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.

Proud Certainty

Proud Certainty

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.

Uncertain Markets and Future Returns

Uncertain Markets and Future Returns

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.

A New Vision for Artificial Intelligence

A New Vision for Artificial Intelligence

A new vision for artificial intelligence is using smaller more relevant data sets for dynamic learning generating more effective outcomes and better predictions. This model uses cognitive architecture, learns, transfers learning, and retains knowledge – enabling more valuable and compelling artificial intelligence applications. This approach is more closely related to the brain’s actual structures and much more effective than “neural networks,” which is a catchy name but the similarity to the brain’s actual functioning is in name only. Real advancement in artificial intelligence must live in reality, not theoretical marketing. The current state of artificial intelligence shows the shortcomings of big data and trial-and-error approaches. A new AI vision can be a more effective solution. Smaller data sets, more relevant information, dynamic data, and algorithms will lead to more appropriate outcomes, better tools, and more effective applications.