A New Perspective on AI

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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 

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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.

China, Prosperity, and Free Markets

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Chairman Xi faces more significant problems than just a declining stock market. Future prosperity, innovation, and China’s global position in advanced technologies are at stake. Bureaucratic regulation and central government money are not the answer, and an uncomfortable truth for communist bureaucrats is that a free market, access to venture capital and private equity, and vibrant public markets are essential for China’s success. A volatile market is still best at attributing value and allocating capital over time. China’s entrepreneurs have brilliance, incomparable fortitude, and a strong work ethic, but without capital and liquidity for that capital, the ship will run aground.

Permanent capital is essential for the growth of an economy, innovation, and prosperity. Liquidity is essential for that capital.

Artificial Intelligence: The Sharpened Rock

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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

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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

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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

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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

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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.

Today, Tomorrow, and the Apocalypse

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The future does not need us, and apparently, we don’t need it either.

The future isn’t what it used to be.

Humankind evolved to have a long-term view, either from religious teachings, the seasons, empires, and epoques, beyond the temporal spaces of our lifetimes. We went from living in an extended present to thinking about a long-term future.

Our horizons have gotten much shorter. When I wrote my latest book, “The Ten Year Horizon,” ten years seemed a sufficient and faraway temporal space to discuss a long arc of basic scientific research and discovery that could address our most urgent problems. However, it’s most appropriate to think a century ahead in order to understand the future we really want. It’s not just for us, it’s for generations to come.

Collectively, mankind has never had so many ways to destroy itself through self-made dangers including nuclear weapons, bioterrorism, climate change, antibiotic resistance, and many other self-manufactured threats. It is time for temporal maturity and ignore the tumultuous waves striking the boat today and keep our eye on the long-term horizon.

Short-term thinking has brought the potential for a catastrophic crisis even closer. Perhaps now it is time to grow up and think about the future. What do we want to be – because whatever that may be, we are certainly not working towards it now.

Lessons Lost

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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.