by Nicholas Mitsakos | Artificial Intelligence, Book Chapter, China, commodities, Currency, Economy, Globalization, Innovation, Trade, Writing and Podcasts
The United States and China play global economic and political chess games. There are many moves and defensive and offensive strategies, not only for trade but also for energy and natural resources (rare earths among the most recent flavors of discord), geopolitics (Russia, Ukraine, Iran, the Middle East generally), technology (Taiwan and AI), and global economic supremacy. It’s a long list, but China and the US drive the outcomes. Instead of working for mutual benefit, regardless of fundamental cultural and political differences, we are now drawing bright lines demarking battle zones (Ukraine and Russia; Taiwan; AI and advanced technologies). The result will be economic and technical inefficiency and degradation in the quality of life, safety, and prosperity. China must acknowledge the outrage caused by its overreaching bids for control, and America must adjust to China’s presence without selling honor for profit. Competition is not us-or-them; reality is us-and-them. The U.S. semiconductor industry gets 30% of its revenue from China. China’s resulting products service the world, and China’s producers need the U.S. as well. If allowed, such examples of mutual benefit will proliferate. It is naïve to imagine wrestling China back to the past. The project, now, is to contest its moral vision of the future. Connected, collaborative engagement is the only practical way. China has come a long way, and its trajectory cannot be ignored or dismissed. The U.S. and China will be much better off from this more enlightened, realistic perspective. See the whole board.
by Nicholas Mitsakos | Artificial Intelligence, Book Chapter, China, Globalization, Innovation, Public Policy, Transformative businesses, Writing and Podcasts
Significant VC activity and AI development opportunities are emerging in China. DeepSeek is the Vanguard of innovation from the artificial intelligence “moonshot” encouraged by the Chinese government. Not only will we see ongoing developments from Alibaba and Tencent, but there will also be a layer of elite AI companies at the forefront of China’s AI sector. US sanctions and restrictions have only increased innovation and groundbreaking AI development activity in China. Those sanctions will amount to nothing and encourage accelerated advancement.
by Nicholas Mitsakos | Artificial Intelligence, China, Technology, Transformative businesses, Writing and Podcasts
The announcement of a $500 billion commitment to building AI infrastructure in the United States, is another major salvo in the AI wars. At this point, it’s hard to distinguish whether this is just hyperbole from hyperventilating technology executives or something with real substance.
But, more importantly, it indicates an agenda to “win” in artificial intelligence. OpenAI, Softbank, and others are pushing the narrative to “beat China” and align themselves with the Trump administration. Fundamental is a belief that such a race exists, the US can gain advantage by dedicating computer resources, and it’s worth winning at all costs – whatever that means.
Unfortunately, computer resources don’t define a sustainable advantage anymore. A decoupling of resources and cooperation between the United States and China have forced the Chinese to develop near-equivalent models while using only a fraction of resources. bigger data centers, substantial computing resources, and overwhelming numbers of GPU production won’t win this arms race.
It’s A Zero-Sum Game That Amounts to Nothing.
by Nicholas Mitsakos | Artificial Intelligence, Innovation, Podcast, Writing and Podcasts
This podcast discusses my article on the current state of artificial intelligence, focusing on the limitations of large language models and the unrealistic expectations surrounding the development of artificial general intelligence (AGI). I argue that AI systems are not on a trajectory to match or exceed human intelligence because LLMs lack common sense and rely on regurgitating information rather than understanding. Despite the hype surrounding AGI, it is decades away, and the current focus on LLMs is misguided. Instead, I advocate for a different approach to AI that incorporates real-world interactions and visual data.
by Nicholas Mitsakos | Artificial Intelligence, Writing and Podcasts
This is a new podcast based on my artificial intelligence research. I argue that the current approach to artificial intelligence, reliant on massive datasets and “neural networks” inspired by the brain, is fundamentally flawed. Instead, it advocates for a new vision that prioritizes cognitive architecture, mirroring the brain’s ability to process information dynamically and identify relevant data. This new approach would utilize smaller, more focused datasets, leading to more efficient, accurate, and scalable AI systems capable of true learning, knowledge transfer, and prediction.
by Nicholas Mitsakos | Artificial Intelligence, Digital Assets, Finance, Financial Technology, Innovation, Transformative businesses, Writing and Podcasts
Apple can disrupt global finance. Visa and MasterCard are now vulnerable. Previously, it was believed that the capital required for infrastructure, systems, and processing was an insurmountable obstacle to any new competitor. But things have changed. Innovation and disruption in the credit card business pose a threat to established players like Visa and MasterCard. Apple can leverage its ecosystem, user experience focus, brand trust, strategic partnerships, and innovative use of data to succeed in the credit card business. Over time, as it scales and innovates, it could challenge Visa and MasterCard’s market dominance.
by Nicholas Mitsakos | Artificial Intelligence, Book Chapter, Innovation, Science, Technology, Transformative businesses, Writing and Podcasts
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.
by Nicholas Mitsakos | Artificial Intelligence, Biotechnology, Book Chapter, Digital Assets, Innovation, Investments, Science, Technology, Writing and Podcasts
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.
by Nicholas Mitsakos | Artificial Intelligence, China, Economy, Globalization, Innovation, Investment Principles, Technology, Transformative businesses, Writing and Podcasts
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.
by Nicholas Mitsakos | Artificial Intelligence, Book, drug discovery, Economy, Financial Technology, Green Energy, Transformative businesses, Writing and Podcasts
AI as 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.
by Nicholas Mitsakos | Artificial Intelligence, Book, Book Chapter, Innovation, Science, Technology, Transformative businesses, Writing and Podcasts
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.
by Nicholas Mitsakos | Artificial Intelligence, Biotechnology, Book Chapter, crispr, drug discovery, Health Care, Innovation, Science, Writing and Podcasts
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.
