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Exploring the cosmos of Physics & the depths of Machine Learning.
Latest Posts
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Glitter Isn’t Gold: How the Gold Standard Fails Modern Economics
To many, gold is the ultimate symbol of stability. So why not tie our money to it again? Because when we did, it wrecked the economy — over and over again.
The Allure of Gold: A False Promise
In times of financial uncertainty, calls to “return to the gold standard” often resurface, echoing from op-eds, political campaigns, and even corners of social media. On the surface, the idea sounds responsible, even noble: tie your nation’s currency to a fixed amount of gold, and suddenly you’ve imposed discipline. No more reckless money printing, no more runaway inflation, no more economic meddling.
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When House Prices Rise, Birth Rates Fall (and Rise): A Tale of Two Households
“Why aren’t young people having kids?”
It’s a question that economists, demographers, and policymakers have been grappling with for years. We often hear explanations that point to rising student debt, changing gender norms, delayed marriage, or even lifestyle preferences. But a groundbreaking paper by economists Lisa J. Dettling and Melissa Schettini Kearney titled “House Prices and Birth Rates: The Impact of the Real Estate Market on the Decision to Have a Baby” adds another powerful force into the conversation — housing.
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The Phoenix Effect: How Portugal, Italy, Greece, and Spain Defied Expectations in the Eurozone
1. Introduction
In the formative years of the Eurozone, four Southern European economies—Portugal, Italy, Greece, and Spain—gained notoriety under the derogatory acronym “PIGS.” Their economic woes were widely seen as emblematic of the dangers of monetary integration without fiscal union. Critics pointed to unsustainable debt levels, bloated public sectors, and underwhelming productivity. The sovereign debt crisis that erupted after 2009 seemed to confirm this pessimism, as these countries experienced plummeting GDP, soaring unemployment, and financial bailouts that came with harsh austerity measures. For a time, the “PIGS” narrative dominated discourse about the fragility of the European project.
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Seeing from All Angles: Making 3D Reconstruction Models Robust to Viewpoint Changes
How do we teach machines to understand the shape of a 3D object—no matter how it’s viewed? This new research shows that letting the model “learn from its own mistakes” may be the answer.
In the realm of computer vision and 3D understanding, one of the longstanding challenges is teaching machines how to reconstruct a 3D object from 2D images. If you’ve ever seen photogrammetry tools turn a set of photos into a 3D model, you already know the basic idea. But beneath the surface, there’s a major problem: these models often perform well only when the images are captured from familiar angles. Once the camera moves to a new, unseen position, the model starts to stumble.
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From Silos to Synergy: How MCP and A2A Are Building the Future of AI Agents
Introduction
In the fast-evolving world of artificial intelligence, language models are no longer just powerful tools for answering questions or summarizing text. They’re evolving into intelligent agents capable of reasoning, planning, interacting with other agents, and autonomously executing complex tasks. But as the complexity of these agent systems grows, so does the need for standards that ensure consistency, interoperability, and scalability.
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