Showing posts with label Science. Show all posts
Showing posts with label Science. Show all posts

3/01/2025

Escaping into Books: The Power of Reading and Reflection

It's no big surprise to me, but it turns out books and libraries have a positive impact on readers' lives. I’m always a bit skeptical of such studies, but I couldn’t resist this confirmation bias once I saw it. 🙂 I must admit, I love reading but rarely visit libraries—something I plan to change this year. For me, the main benefits of reading are: - It transports me to different worlds and perspectives. - It helps me escape the present moment and take a long-term view on topics. - It expands my knowledge and broadens my horizons. - It fosters personal growth and self-reflection. - It allows me to engage with my thoughts and enjoy solitude. As for the study, it suggests that libraries: - Help people feel calmer and more at peace. - Prepare individuals for the complexities of the world. - Serve as valuable sources of knowledge. - Support personal growth and development. When was the last time you visited a library or picked up a book? Give it a try—you might just enjoy it. (text revised by a LLM) https://lithub.com/its-official-research-has-found-that-libraries-make-everything-better/

- Pedro

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2/23/2025

No te Pierdas Aprendemos Juntos 2030: Inspiración y Aprendizaje en Cada Charla

Aprendemos Juntos 2030" es una iniciativa de BBVA que no te puedes perder por su calidad, diversidad y la impresionante trayectoria de sus invitados, quienes aportan conocimiento y experiencia única. He visto muchas charlas sobre diversos temas y ninguna me ha decepcionado. Si ya no sabes qué ver en tus plataformas de streaming, échale un vistazo y aprendamos juntos (texto revisado por un LLM) En BBVA creemos posible una vida mejor en un mundo más sostenible y queremos ofrecerte las herramientas para enfrentar los grandes retos del futuro. En este canal descubrirás las historias más inspiradoras y los contenidos más útiles para afrontar tu día a día, animándonos a luchar por una sociedad más inclusiva y respetuosa con el planeta. Suscríbete y no te pierdas todas nuestras novedades, ¡te esperamos! https://www.youtube.com/@AprendemosJuntos/featured

- Pedro

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1/25/2025

Books read throughout 2024! not a bad year

Throughout 2021 I’ve read 21 books, 5.745 pages and my average rating was 3.5 on Goodreads. The full list was the following: 1.Disciplina sin lágrimas 2.Até ao fim 3.The BlackSwan 4.A brief history of time 5.Raving Fans 6.Price and peace 7.Obvious Adams 8.Fascim 9.Os Ratoneiros 10.The secret language of competitive intelligence 11.Do dice play God 12.Strategy beyond the hockey stick 13.How to take smart notes 14.How to decide 15.The pyramid principle 16.12 rules for life 17.Deus na escuridao 18.The tipping point 19.Value-Based pricing 20.Win, keep, grow 21.Sobre la brevedad de la vida Hope 2025 i will make it to 25, but the most important is that i pick good ones, learn and enjoy myself in the journey. https://www.goodreads.com/user/year_in_books/2024/71159677

- Pedro

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How Math Connects Fireflies, Clocks, and Computing

A fascinating video featuring Steve Strogatz explores the power of mathematics and how it reveals hidden patterns in the world that would otherwise remain undiscovered. In one example, Strogatz discusses a study where he and his colleagues explained why fireflies begin flashing in unison. This phenomenon, initially thought to be purely biological, was redefined as a mathematical problem. Building on these findings, engineers developed a method to synchronize small electronic clocks, demonstrating how the mathematical principles from the study extend to fields like distributed computing and sensor networks. Mathematical abstraction—a cornerstone of mathematical reasoning—strips away irrelevant details, allowing us to focus on the fundamental elements of a problem. This approach uncovers connections and commonalities across diverse phenomena and scientific disciplines. I hope you enjoy the video as much as I did! (text revised by a LLM) https://youtu.be/kV-pnbtfraE

- Pedro

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1/11/2025

How Machine Learning Is Revolutionizing Economic Thinking

A Sendhil Mullainathan delivered a fantastic keynote on Economics in the Age of Algorithms, a talk lasting approximately one hour (at normal speed). In it, he compellingly argues that algorithms (machine learning, AI, etc.) are, at their core, economics. Among the many fascinating topics he covered, I particularly enjoyed how he framed the difference between Estimation and Prediction. Estimation represents the traditional approach to tackling problems, while Prediction is the newer approach enabled by supervised learning (ML). In essence, estimation focuses on optimizing the estimated Beta, while prediction aims to optimize the estimated Y. Sophisticated algorithms that optimize Y (the prediction) are remarkably valuable for uncovering new and strikingly original hypotheses. However, economists (humans) play a crucial role in designing recommendations for payoffs and loss functions, ensuring that ML outputs are meaningful and actionable. Did this triggered your interest? Sit back, relax, and enjoy an hour of insights from one of the great economic minds! (text revised by a LLM) https://videosolutions.mediasite.com/Mediasite/Play/cb9d64c0274d4aae98b61dd6779791b31d?playfrom=970000

- Pedro

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12/07/2024

Einstein: Del Teórico al Comprobado

Es absolutamente fantástico que todavía sigamos comprobando aquello que Einstein había previsto únicamente desde un punto de vista teórico, basándose puramente en sus premisas, conocimientos de física y matemáticas. Hay personas que han tenido (y algunas aún tienen) mentes asombrosas. No conocía lo que era el ZigZag de Einstein, pero ese video lo explica de una forma muy sencilla y clara. (texto revisado por LLM) EL PAÍS https://elpais.com/ciencia/2024-12-07/descubren-el-primer-zig-zag-de-einstein.html

- Pedro

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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

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11/12/2024

Exploring Tomorrow: A Review of "The Future with Hannah Fry"

I just finished Bloomberg's series The Future with Hannah Fry, which I highly recommend (link below). Each episode is only 25 to 30 minutes long, covering important topics for the near future in a relaxed yet insightful way. The topics include: 1-The 150-Year Life – Examining age-extension technologies. 2-Emotional Recognition – Exploring technology that reads emotions. 3-Weaponization of Data – Looking into the misuse of data and its implications. 4-Nuclear Fusion – Investigating nuclear fusion as a potential clean energy source. 5-Social Inclusion with Tech and AI – How technology supports people with disabilities. 6-Rewilding – The role of rewilding in conservation efforts. 7-Super Intelligence – The possibilities and risks of advanced AI. 8-Animal Communication – Using AI to interpret animal communication. 9-Quantum Arms Race – Exploring the potential impacts of quantum computing. 10-Pain – Innovative methods to understand and manage pain. 11-The Next Billion – The impact of internet expansion in developing regions. 12-Water – Addressing water scarcity and related geopolitical issues. Hope you enjoy it as much as I did! https://www.bloomberg.com/originals/series/the-future-hannah-fry

- Pedro

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