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PODCAST

Chris"s AI Deep Dive

Simplifying AI, Economics, and Business. Machine Learning and Data Science at a 5th Grade Level. {MVP}

technology

All Episodes

00:22:43

FHEVM: Cross-Chain Confidential Smart Contracts

Chris"s AI Deep Dive ·

2025/08/08

This introduces a groundbreaking cross-chain protocol designed to enable confidential smart contracts across various Layer 1 and Layer 2 blockchains. This system achieves end-to-end encryption for on-chain applications by leveraging Fully Homomorphic Encryption (FHE) for computations, Threshold Multi-Party Computation (MPC) for key management and decryption, and Zero-Knowledge Proofs of Knowledge (ZKPoK) for input verification. The protocol aims to address the inherent transparency challenges of

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00:24:03

6. Bubbles, Euphoria, and Economic Reality

Chris"s AI Deep Dive ·

2025/08/07

This examines the phenomenon of asset price bubbles, illustrating how periods of economic euphoria often lead to speculative investment and the construction of massive, often economically questionable, projects like skyscrapers. It highlights the historical connection between booming asset markets (stocks and real estate) and increased economic activity, driven by rising household wealth and lower costs of capital for firms. The text uses examples such as the Dutch Tulipmania and the Japanese asset

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00:13:16

5. The Anatomy of Financial Crises: From Euphoria to...

Chris"s AI Deep Dive ·

2025/08/07

This outlines the cyclical nature of financial crises, beginning with an economic expansion, evolving into euphoria and rapidly increasing asset prices, followed by a pause and eventual decline. This decline often triggers financial distress, characterized by investor pessimism, increased indebtedness, and a tightening of credit, as seen in historical examples like the 1929 US stock market crash and the 2008 global financial crisis. The document also explores the ineffectiveness of government

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00:20:15

4. Credit Expansion and Speculative Manias

Chris"s AI Deep Dive ·

2025/08/07

This examines the historical relationship between credit expansion, financial innovations, and economic instability, particularly focusing on the causes of speculative manias and financial crises. It highlights how increases in the supply of credit, often driven by new financial instruments or substitutes for traditional money, have consistently fueled economic booms and subsequent collapses throughout history. The document also explores the long-standing debate between the Currency School and the

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00:38:28

3. The Dynamics of Speculative Manias

Chris"s AI Deep Dive ·

2025/08/07

This examines speculative manias and their relationship to market rationality, exploring how periods of excessive investment in particular assets often disconnect from the theoretical assumption of rational economic behavior. It differentiates between rational expectations, where investors are fully aware of long-term implications, and adaptive expectations, where future values are projected from recent trends, often leading to "greater fool theory" scenarios. The text illustrates how

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00:29:16

2. The Anatomy of Financial Crises

Chris"s AI Deep Dive ·

2025/08/07

This offers an overview of financial crises, contrasting the historian's view of unique events with the economist's search for systematic patterns. It introduces a model of financial crises, focusing on the boom and bust cycle, and highlights Hyman Minsky's theory that pro-cyclical changes in credit supply lead to financial fragility. The text illustrates how exogenous shocks, like technological innovation or financial liberalization, can trigger these cycles, fueled by expanding credit and leading

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00:15:25

1. Global Financial Bubbles and Crises: A Historical...

Chris"s AI Deep Dive ·

2025/08/07

This offers an extensive overview of financial crises, particularly focusing on four distinct waves of global financial instability since the 1970s. It explains how these crises are frequently preceded by credit bubbles, where debt escalates unsustainably, often tied to real estate or stock market surges. The document also examines the historical context of financial manias and panics, emphasizing the role of monetary policy, international contagion, and the contentious debate surrounding government

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00:14:47

Quantum-Safe Financial Security: An IBM Imperative

Chris"s AI Deep Dive ·

2025/07/27

The emergence of cryptographically relevant quantum computers (CRQCs) poses a severe and imminent threat to current public-key encryption algorithms, which underpin the security of confidential data and communications globally. This threat is exacerbated by "harvest now, decrypt later" attacks, where adversaries steal encrypted data today, intending to decrypt it once CRQCs are powerful enough. Both the defense and financial services industries are at high risk due to their reliance on

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00:16:23

Global Payments 2024: Simpler Interfaces, Complex...

Chris"s AI Deep Dive ·

2025/07/26

The "McKinsey Global Payments Report 2024: Simpler interfaces, complex reality" discusses the evolving global payments landscape, noting that while interfaces are becoming simpler, the underlying reality is increasingly complex due to technological advancements and a proliferation of players. The report forecasts continued revenue growth in the payments industry, albeit at a slower rate than in previous years, emphasizing the importance of innovation and investment in payment technologies

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00:22:29

The Next Payments Era: Opportunities for Banks

Chris"s AI Deep Dive ·

2025/07/26

The provided text is an excerpt from the "2023 McKinsey Global Payments Report," titled "On the cusp of the next payments era: Future opportunities for banks." This report, a collaborative effort by experts from McKinsey’s Global Banking Practice, offers a comprehensive analysis of the evolving global payments industry. It discusses the current state of the industry, highlighting significant revenue growth and shifts in geographical contributions, particularly India's rise in

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00:20:41

Cyber Resilience for Financial Services: A Ticking Clock

Chris"s AI Deep Dive ·

2025/07/26

This report, a collaboration between McKinsey & Company and the Institute of International Finance (IIF), examines the increasing cyber risks faced by financial institutions as they adopt emerging technologies. Based on a 2023 survey of 37 global financial firms, it highlights that while technologies like cloud computing and applied AI offer significant benefits, they also introduce new vulnerabilities and amplify existing ones. The report emphasizes that financial institutions are struggling to

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00:23:00

Cryptographic Engineering and Side-Channel Attacks

Chris"s AI Deep Dive ·

2025/07/26

This compilation, Cryptographic Engineering, offers a comprehensive guide for aspiring cryptographic engineers, stemming from lecture notes delivered since 2002 at EPFL in Lausanne, Switzerland. The text explores foundational concepts such as random number generators (RNGs), distinguishing between deterministic (DRNGs) and true (TRNGs) while detailing their classification and security implications. It also covers fast finite field multiplication and efficient unified arithmetic for hardware

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00:33:29

Preface to Bitcoin: A Digital Cash History

Chris"s AI Deep Dive ·

2025/07/23

We are tracing the historical evolution of electronic payment systems that laid the groundwork for its development. It explores the challenges and innovations of early e-cash and credit card-based technologies, highlighting their successes and failures. The source details concepts like barter, credit, and cash as fundamental financial arrangements, then transitions into the complexities of online credit card transactions and early digital cash attempts like DigiCash, CyberCash, and Mondex

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00:29:21

Class: A Guide Through the American Status System

Chris"s AI Deep Dive ·

2025/05/29

"Class: A Guide Through the American Status System," examines the subtle, often unconscious markers of social class in the United States. Fussell argues that despite claims of egalitarianism, Americans are highly attuned to hierarchies, which are expressed through various aspects of daily life. The book analyzes consumption patterns, leisure activities, housing choices, language usage, and even educational affiliations as indicators of one's social standing, highlighting the

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00:22:14

Learn AI-Assisted Python Programming

Chris"s AI Deep Dive ·

2025/05/29

The introduction acknowledges the challenges of learning programming and positions AI assistants as a way to overcome these difficulties, emphasizing that the book is designed for this new era. Subsequent sections outline the necessary software setup and introduce core Python concepts such as functions, variables, loops, conditionals, strings, lists, and dictionaries, along with the importance of testing and problem decomposition when working with AI-generated code. The text concludes by exploring

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00:28:47

Changing the Game

Chris"s AI Deep Dive ·

2025/05/29

Examples and discussions of various game types and their potential applications in advertising and employee training, including product placement, advergames, virtual worlds, simulations, and the use of games for recruiting and fostering innovation. The text also touches upon the controversies surrounding video games.

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00:28:24

Building Robust AI Applications: Architecture and...

Chris"s AI Deep Dive ·

2025/05/19

This episode explores the crucial aspects of building successful AI applications by outlining a step-by-step architecture development process. It begins with the most basic setup and progressively introduces components like context enhancement, guardrails for safety and security, routers and gateways for managing complexity, and caching for performance optimization. The document emphasizes the vital role of user feedback in evaluating, improving, and personalizing AI systems, discussing various

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00:36:26

9: AI Model Inference Optimization

Chris"s AI Deep Dive ·

2025/05/17

This episode explores optimizing AI model inference for speed and cost, recognizing that a model's real-world utility depends on its efficient deployment rather than just its quality. It covers essential performance metrics like latency (breaking down into Time to First Token and Time Per Output Token), throughput (related to cost), and hardware utilization (MFU and MBU), highlighting the trade-offs involved. The material also provides an overview of AI accelerators, explaining how specialized

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00:29:22

8: Engineering High-Quality Datasets for AI Models

Chris"s AI Deep Dive ·

2025/05/17

This episode emphasizes the crucial role of dataset engineering in the success of AI models, asserting that data quality and diversity are as important as data quantity. It explains how companies are shifting towards a data-centric AI approach to improve model performance, moving beyond solely enhancing model architectures. The text details the process of data curation, including the importance of data quality, coverage, and quantity, and introduces data augmentation and synthesis as methods to

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00:29:54

7: Finetuning, PEFT, and Model Merging

Chris"s AI Deep Dive ·

2025/05/17

This episode provides an overview of finetuning, a method for adapting AI models to specific tasks by adjusting their internal parameters, contrasting it with prompt-based techniques which rely on instructions. It explains that finetuning often improves task-specific abilities and output formatting, although it requires greater computational resources and machine learning expertise compared to prompting. The text explores memory bottlenecks in finetuning large models, highlighting techniques like

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129 results

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