11/30/2024

The 2024 Best Books by the Economist → Politics and current affairs

The 2024 Best Books by the Economist → Politics and current affairs 1-Autocracy, Inc: The Dictators Who Want to Run the World. By Anne Applebaum 2-Born to Rule: The Making and Remaking of the British Elite. By Aaron Reeves 3-Counter-Intelligence: What the Secret World Can Teach Us About Problem-solving and Creativity. 4-Failed State: Why Nothing Works and How We Fix It. By Sam Freedman. 5-How Tyrants Fall: And How Nations Survive. By Marcel Dirsus 6-Infantilised: How Our Culture Killed Adulthood. By Keith Hayward 7-Our Enemies Will Vanish. By Yaroslav Trofimov 8-Twenty Years: Hope, War and the Betrayal of an Afghan Generation. By Sune Rasmussen 9-World on the Brink: How America Can Beat China in the Race for the 21st Century. By Dmitri Alperovitch 10-The Year of Living Constitutionally. By A.J. Jacobs All added to my wishlist. You might find 1/2 that catches your attention. https://www.economist.com/culture/2024/11/22/the-best-books-of-2024-as-chosen-by-the-economist

- Pedro

Read on Substack

11/26/2024

The 2024 Best Books by the Economist → History

The 2024 Best Books by the Economist → History 1-The Eastern Front. By Nick Lloyd. 2-Every Living Thing. By Jason Roberts. 3-The Forbidden Garden. By Simon Parkin. 4.The Horse. By Timothy Winegard. 5-How the World Made the West. By Josephine Quinn. 6-Impossible Monsters. By Michael Taylor. 7-The Invention of Good and Evil. By Hanno Sauer 8-Medieval Horizons. By Ian Mortimer. 9-Nexus. By Yuval Noah Harari. 10-Raiders, Rulers and Traders. By David Chaffetz 11-Reagan. By Max Boot. 12-Revolusi. By David Van Reybrouck. 13-Smoke and Ashes. By Amitav Ghosh. 14-Spycraft. By Nadine Akkerman and Pete Langman 15-The Siege. By Ben Macintyre 16-Venice. By Dennis Romano. 17-Why War? By Richard Overy. 18-The Wide Wide Sea. By Hampton Sides. All added to my wishlist. You might find 1/2 that catches your attention. https://www.economist.com/culture/2024/11/22/the-best-books-of-2024-as-chosen-by-the-economist

- Pedro

Read on Substack

11/25/2024

In Search of Great Stories: A Look Ahead to 2024’s Films

I don’t know about you, but lately, I’ve been struggling to find movies that truly make me say, “What an amazing story!” Hopefully, one of the Economist’s top picks for 2024 movies will give me that aha! moment I’ve been craving. Fingers crossed! 1-“All of Us Strangers” 2-“All We Imagine as Light” 3-“Anora” 4-“Babygirl” 5-“La Chimera” 6-“Conclave” 7-“Green Border” 8-“Immaculate” 9-“Love Lies Bleeding” 10-“Monster” 11-“Nickel Boys” 12-“Perfect Days” 13-“Robot Dreams” 14-“Sasquatch Sunset” 15-“The Substance” I will let you know how it goes. (text revise by LLM) https://www.economist.com/culture/2024/11/08/the-best-films-of-2024-as-chosen-by-the-economist

- Pedro

Read on Substack

Dos horas con Javier Milei: Desafiando paradigmas y repensando lo público

Un podcast muy interesante que desafía el status quo en el que vivimos, con Javier Milei, Presidente de la República Argentina. Es un verdadero placer escuchar a un presidente con profundos conocimientos de economía, probablemente la ciencia social más relevante cuando se trata de gestionar lo público. Milei presenta una visión clara de lo que quiere lograr y cómo planea hacerlo. Estoy de acuerdo con muchas de sus ideas (en temas como economía, desregulación y el rol limitado del Estado en funciones que no le son inherentes), aunque discrepo en otras. Independientemente de lo que se pienses sobre Milei, creo que vale la pena invertir dos horas en escuchar este podcast. (texto revisado por un LLM) https://youtu.be/8NLzc9kobDk?si=3qjmHf2d_No1ZHKM

- Pedro

Read on Substack

11/24/2024

The 2024 Best Books by the Economist → Business, economics and technology

The 2024 Best Books by the Economist → Business, economics and technology 1-Business, economics and technology 2-The Art of Uncertainty. By David Spiegelhalter 3-Co-Intelligence. By Ethan Mollick 4-Dark Wire. By Joseph Cox. 5-How Economics Explains the World. By Andrew Leigh.. 6-Money. By David McWilliams 7-Playing with Reality. By Kelly Clancy. 8-The Power and the Money. By Tevi Troy. 9-Slow Productivity. By Cal Newport. 10-The Whole Story. By John Mackey. All added to my wishlist. You might find 1/2 that catches your attention. https://www.economist.com/culture/2024/11/22/the-best-books-of-2024-as-chosen-by-the-economist

- Pedro

Read on Substack

11/23/2024

Benoît Mandelbrot: Why Fractals and Power Laws Redefine Science and Economics

This 7-hour interview with Benoît Mandelbrot offers a captivating deep dive into his life, encompassing his childhood, upbringing, education, professional career, and groundbreaking research. It provides a thorough perspective on his unique approach to science, emphasizing the interconnectedness of various fields—mathematics, physics, economics, biology, finance, and more. Key insights I took away: Family Influence: Mandelbrot’s family played a critical role in nurturing his interest in mathematics and creating an environment for his intellectual development. Geometric Approach to Mathematics: He championed a visual, geometrical perspective over purely analytical methods. Mentorship and Collaboration: Mandelbrot’s interactions with intellectual giants such as Kolmogorov, Nabokov, Heisenberg, von Neumann, Gaston Maurice Julia, Paul Lévy, and Max Delbrück enriched his understanding across disciplines. Power-Law Distribution: While randomness in physics follows Gaussian distributions, Mandelbrot highlighted the dominance of power-law distributions in social sciences (e.g., Pareto income distribution, city sizes). Role of Private Sector: IBM provided Mandelbrot with the resources and freedom to pursue his groundbreaking work. Measuring Roughness and Fractals: Mandelbrot’s pioneering study of fractals revealed their significance in understanding patterns across multiple domains, including finance. Insights into Finance and Economics: He argued that finance and economics are fundamentally different from physics. Traditional Gaussian approaches to risk management fail to capture the realities of financial systems, which are better modeled using fractal geometry and power-law distributions. Some individuals truly stand apart, and Mandelbrot is one of those rare, extraordinary minds. Personal Takeaway For my own work in finance and economics, this interview reinforced the urgency of studying Mandelbrot’s approaches to risk and systems in depth. If you’re interested and willing to invest the time, I highly recommend watching this interview—it’s an inspiring exploration of a brilliant thinker’s journey. (text revised by LLM) "...Benoit B.[n 1] Mandelbrot[n 2] (20 November 1924 – 14 October 2010) was a Polish-born French-American mathematician and polymath with broad interests in the practical sciences, especially regarding what he labeled as "the art of roughness" of physical phenomena and "the uncontrolled element in life".[6][7][8] He referred to himself as a "fractalist"[9] and is recognized for his contribution to the field of fractal geometry, which included coining the word "fractal", as well as developing a theory of "roughness and self-similarity" in nature.[10] In 1936, at the age of 11, Mandelbrot and his family emigrated from Warsaw, Poland, to France. After World War II ended, Mandelbrot studied mathematics, graduating from universities in Paris and in the United States and receiving a master's degree in aeronautics from the California Institute of Technology. He spent most of his career in both the United States and France, having dual French and American citizenship. In 1958, he began a 35-year career at IBM, where he became an IBM Fellow, and periodically took leaves of absence to teach at Harvard University. At Harvard, following the publication of his study of U.S. commodity markets in relation to cotton futures, he taught economics and applied sciences. Because of his access to IBM's computers, Mandelbrot was one of the first to use computer graphics to create and display fractal geometric images, leading to his discovery of the Mandelbrot set in 1980. He showed how visual complexity can be created from simple rules. He said that things typically considered to be "rough", a "mess", or "chaotic", such as clouds or shorelines, actually had a "degree of order".[11] His math- and geometry-centered research included contributions to such fields as statistical physics, meteorology, hydrology, geomorphology, anatomy, taxonomy, neurology, linguistics, information technology, computer graphics, economics, geology, medicine, physical cosmology, engineering, chaos theory, econophysics, metallurgy, and the social sciences.[12] Toward the end of his career, he was Sterling Professor of Mathematical Sciences at Yale University, where he was the oldest professor in Yale's history to receive tenure.[13] Mandelbrot also held positions at the Pacific Northwest National Laboratory, Université Lille Nord de France, Institute for Advanced Study and Centre National de la Recherche Scientifique. During his career, he received over 15 honorary doctorates and served on many science journals, along with winning numerous awards. His autobiography, The Fractalist: Memoir of a Scientific Maverick, was published posthumously in 2012. ..." https://en.wikipedia.org/wiki/Benoit_Mandelbrot https://youtube.com/playlist?list=PLVV0r6CmEsFwl4HlrIKxKmdpBAGYJ9AbR&si=9_ccF1Tln7wRLTjy

- Pedro

Read on Substack

Why Generative AI Is Missing from CEOs’ Top Priorities

For me, it’s truly puzzling why Generative AI hasn’t made it into the top five priorities on CEOs’ agendas, considering it’s the most disruptive technology of the last 20 years. There’s a striking disconnect between the hype and investment we see in the tech sector compared to its adoption in other industries. Several factors may explain this gap. Many members of the C-suite, including CIOs, lack the technical acumen to fully comprehend the transformative potential of Generative AI. Additionally, the risk-reward calculus of large organizations often leans heavily toward minimizing risks, even at the cost of forgoing significant rewards. An insightful article by The Economist (linked below) delves into this fascinating conundrum. (text revised by a LLM) https://www.economist.com/business/2024/11/04/why-your-company-is-struggling-to-scale-up-generative-ai

- Pedro

Read on Substack