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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

00:21:35

Why Trump's Tariffs Actually Make Sense (Origins of a...

Chris"s AI Deep Dive ·

2025/04/03

What does the Trump team actually want to accomplish with tariffs? We discuss a 2024 paper by Stephen Miran, Trump's economics advisor, analyzing potential strategies for restructuring the global trading system under a hypothetical second Trump administration. He explores the use of tariffs and currency policy to address perceived economic imbalances stemming from dollar overvaluation and to bolster American industry. The guide examines the economic and financial market consequences of these tools,

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00:11:01

Weaponizing Research Funding: The Attack on Universities

Chris"s AI Deep Dive ·

2025/04/02

Harvard University faced potential financial jeopardy as the Trump administration threatened to withhold billions in federal research funding. The opinion piece argues that such cuts would devastate university research, hindering scientific progress and significantly damaging the American economy by stifling innovation. The author uses data to demonstrate the substantial return on investment in university research, highlighting its role in patent creation and the formation of major companies. By

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00:26:22

Stocks for the Long Run? Sometimes yes. Sometimes no.

Chris"s AI Deep Dive ·

2025/04/01

This academic paper challenges the long-held "Stocks for the Long Run" thesis popularized by Jeremy Siegel. By utilizing newly available digital archives, the author constructs a more comprehensive historical record of US stock and bond performance dating back to 1793, revealing that the 20th-century outperformance of stocks was not consistent with earlier periods. The analysis introduces a "regime perspective," suggesting that asset returns are subject to temporary patterns

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00:18:07

Gary Stevenson's "The Trading Game: A Confession"

Chris"s AI Deep Dive ·

2025/03/24

Gary Stevenson's "The Trading Game: A Confession" recounts his improbable journey from being expelled from high school for selling cannabis to becoming a highly successful, multi-millionaire trader at Citibank in London. The memoir vividly depicts the intense and often ethically ambiguous world of high finance, populated by eccentric and driven personalities. Stevenson details his initial naivety and outsider status at the London School of Economics, his rapid learning and success in

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00:16:32

Lifecycle Investing: Stocks versus Bonds

Chris"s AI Deep Dive ·

2025/03/19

This research paper critically examines conventional lifecycle investment advice, specifically the recommendation to diversify with bonds and decrease equity exposure with age. The authors propose an alternative optimal lifetime allocation heavily weighted towards international stocks and completely excluding bonds and bills, asserting its superior performance in wealth accumulation, retirement income, capital preservation, and bequests compared to age-based stock-bond strategies and target-date

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00:29:35

Lifetime Portfolio Selection Under Uncertainty

Chris"s AI Deep Dive ·

2025/03/19

The provided text is an excerpt from a discussion analyzing Robert C. Merton's seminal 1969 paper, "Lifetime Portfolio Selection Under Uncertainty: The Continuous Time Case." The conversation explores Merton's foundational research on long-term financial planning, particularly how individuals should make investment and consumption decisions when facing uncertain future market returns. It simplifies complex mathematical concepts like continuous time models, stochastic differential

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00:24:59

Superintelligence Strategy: Deterrence,...

Chris"s AI Deep Dive ·

2025/03/15

This expert strategy document addresses the national security implications of rapidly advancing artificial intelligence, particularly the anticipated emergence of superintelligence. It argues for a three-pronged framework: establishing Mutual Assured AI Malfunction (MAIM) for deterrence among major powers, implementing nonproliferation measures to prevent rogue actors from acquiring dangerous AI capabilities, and pursuing competitiveness through strategic investments and policies. The authors draw

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00:18:04

California's Electricity Problem

Chris"s AI Deep Dive ·

2025/03/08

This research investigates the increasing electricity costs in California, focusing on investor-owned utilities (IOUs), publicly-owned utilities (POUs), and community choice aggregators (CCAs). It identifies that IOU and CCA rates have significantly risen since 2019, while POU rates have remained relatively stable. The study points to rising transmission and distribution (T&D) expenses, especially those related to wildfire mitigation, as a primary driver for IOU and CCA cost increases. POUs,

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00:20:13

Netflix and Video Games: The Streaming Giant's Gaming...

Chris"s AI Deep Dive ·

2025/03/05

This analysis explores Netflix's strategic move into video games, examining the reasons behind this expansion beyond financial gains. The piece argues that Netflix views gaming as a key element in the broader "leisure wars," competing for consumers' attention against all forms of entertainment. It highlights significant challenges for Netflix, including technological hurdles, fierce competition from established gaming platforms, and the need for compelling exclusive content. The

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00:14:01

Why Roblox is Unprofitable

Chris"s AI Deep Dive ·

2025/02/26

This analysis examines Roblox's impressive scale and user engagement alongside its financial challenges. Despite boasting millions of users and substantial revenue, the platform struggles with profitability due to high costs, including app store fees, developer payouts, and research and development expenses. The author explores the discrepancy between Roblox's positive cash flow and accounting losses, attributing it to deferred revenue recognition and stock-based compensation. Several

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00:23:04

Youtube's Recommendation Algorithmn

Chris"s AI Deep Dive ·

2025/02/19

We detail YouTube's recommendation system, which leverages deep learning to personalize video suggestions for over a billion users. It addresses the challenges of scale, freshness, and noise inherent in the platform's vast and dynamic content library. The system employs a two-stage approach: candidate generation using deep neural networks to narrow down the massive video corpus, followed by a ranking model that refines the suggestions based on user and video features. Key innovations include using

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00:19:36

The Federal Reserve and the Next Financial Crisis:...

Chris"s AI Deep Dive ·

2025/01/07

It's been a while since we had a bubble pop. Via the Freedom of Information Act, we are finally able to see an internal Federal Reserve Bank of New York document, nicknamed the "Doomsday Book," containing legal memoranda and agreements for handling financial crises. It serves as a resource for FRBNY lawyers, offering guidance on various emergency lending scenarios and legal issues. The book covers numerous topics, including emergency credit and payment agreements, master agreements, and legal

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00:27:54

Housing Public Policy: A Home Without Equity Is Just...

Chris"s AI Deep Dive ·

2024/12/17

This episode discusses a 2001 report on the U.S. housing market, focusing on the boom of the 1990s. The author highlights the significant easing of credit standards, including reduced down payments and relaxed underwriting requirements, as a major driver of growth. However, the report also emphasizes substantial risks associated with this rapid expansion, such as increased consumer debt and over-appraisal of homes. A key concern is the potential for a market correctionif economic conditions

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00:26:11

16. Questions and Speculations on Artificial...

Chris"s AI Deep Dive ·

2024/12/16

This text presents a series of questions and answers concerning the future of artificial intelligence (AI), specifically focusing on self-driving cars, AI's impact on employment, AI's capacity for creativity, and the timeline for achieving general human-level AI. The author explores the challenges and uncertainties inherent in developing truly autonomous vehicles, highlighting the complexities of human-computer interaction and the potential for unforeseen errors. Furthermore, the text

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00:16:55

15. Knowledge, Abstraction, and Analogy in AI

Chris"s AI Deep Dive ·

2024/12/15

This episode discusses the challenges of creating truly intelligent machines. The author explores past and present attempts to imbue AI with commonsense reasoning, focusing on projects like Cyc, which aimed to manually encode human knowledge. The text also examines the difficulties of programming abstraction and analogy-making abilities into AI, using Bongard problems as a compelling example of human capabilities that remain elusive to machines. Finally, the author considers the limitations

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00:16:21

14. The Barrier of Meaning: Understanding in Humans...

Chris"s AI Deep Dive ·

2024/12/14

This chapter from a book explores the "barrier of meaning" separating current AI from human-level intelligence, focusing on human understanding. It examines the building blocks of understanding, including innate and learned knowledge like intuitive physics, biology, and psychology, and the role of mental models and simulations in predicting future events and comprehending abstract concepts. The text highlights the importance of metaphor and analogy in forming abstract concepts, drawing upon

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00:19:30

13. Question Answering and the Limits of AI

Chris"s AI Deep Dive ·

2024/12/13

The text explores the history and limitations of question-answering AI systems.It begins by examining the aspirational Star Trek computer and contrasts that ideal with the capabilities of current virtual assistants like Alexa and Siri. The central focus then shifts to IBM's Watson, detailing its Jeopardy! victory and subsequent, less successful applications in fields like medicine. The text further analyzes the shortcomings of current AI in truly understanding language, using examples like

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00:14:33

12. Machine Translation and Image Captioning

Chris"s AI Deep Dive ·

2024/12/12

This text explores the capabilities and limitations of current machine translation and image captioning systems. These systems, largely based on encoder-decoder neural networks, achieve impressive results in translating languages and generating image descriptions, but their performance is inconsistent, often failing to capture nuances and context. The evaluation methods used to assess these systems—like BLEU scores and human ratings—are flawed and can be misleading. Ultimately, while these

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00:15:00

11. Natural Language Processing and Deep Learning

Chris"s AI Deep Dive ·

2024/12/11

This explores the challenges and recent advancements in natural language processing (NLP), a field of artificial intelligence focused on enabling computers to understand and use human language. The text uses a simple restaurant story to illustrate the complexities of language understanding, highlighting the need for sophisticated linguistic skills and world knowledge in AI systems. It then details the significant progress made in speech recognition using deep learning, contrasting this

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00:14:43

10. Beyond Games: The Limits and Potential of...

Chris"s AI Deep Dive ·

2024/12/10

The text explores the limitations of current reinforcement learning AI, despite its successes in game-playing.While AI has achieved superhuman performance in games like Go and Atari, this success is largely confined to those specific domains; the AI systems struggle with transfer learning, meaning they cannot easily apply knowledge gained in one game to another, unlike humans. This lack of generalizability highlights a significant gap between current AI and human-level intelligence. Furthermore,

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130 results

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