Shows
Chris's AI Deep DiveCalifornia's Electricity ProblemThis 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, with lower wildfire risks and smaller territories, have experienced more modest cost increases. CCAs often mirror IOU prices due to shared T&D infrastructure costs and Power Charge Indifference Adjustment fees...2025-03-0818 min
Chris's AI Deep DiveNetflix and Video Games: The Streaming Giant's Gaming StrategyThis 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 analysis suggests that Netflix's initial focus on casual, mobile games is a cautious, long-term strategy to build capabilities and brand recognition, minimizing immediate risks. Ball posits that the gaming industry's constant innovation and...2025-03-0620 min
Chris's AI Deep DiveWhy Roblox is UnprofitableThis 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 strategies are proposed to improve profitability, such as reducing app store fees, increasing user spending, expanding advertising, and exploring new 2D use cases. The article suggests that if Roblox can successfully execute these strategies, it...2025-02-2614 min
Chris's AI Deep DiveYoutube's Recommendation AlgorithmnWe 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 weighted logistic regression to optimize for expected watch time and incorporating the age of training examples to promote fresh content. The paper highlights the practical...2025-02-1923 min
Chris's AI Deep DiveThe Federal Reserve and the Next Financial Crisis: Analysis of It's Doomsday BookIt'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 opinions on the FRBNY's powers. Much of the content is highly confidential and protected by attorney-client privilege. The document's history and revisions...2025-01-0719 min
Chris's AI Deep DiveHousing Public Policy: A Home Without Equity Is Just A Rental With DebtThis 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 correction
if economic conditions worsen, leading to higher unemployment and
foreclosures. The report concludes by discussing the use of loan
modifications to temporarily mask credit problems, potentially delaying
...2024-12-1727 min
Chris's AI Deep Dive16. Questions and Speculations on Artificial IntelligenceThis
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 examines
the ethical implications of AI, including job displacement and the
misuse of AI technologies. Finally, it emphasizes the vastness of
unsolved problems within the field and the continuing quest to
understand human intelligence...2024-12-1626 min
Chris's AI Deep Dive15. Knowledge, Abstraction, and Analogy in AIThis 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 of current deep learning approaches and argues
for the importance of embodiment in achieving
human-level AI. The author's own research on analogy-making programs
and their application to visual scene...2024-12-1516 min
Chris's AI Deep Dive14. The Barrier of Meaning: Understanding in Humans and AIThis 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 psychological research
demonstrating a link between physical and social warmth. Finally, it
discusses the crucial role of abstraction and analogy in human cognition and their implications for future AI development.2024-12-1416 min
Chris's AI Deep Dive13. Question Answering and the Limits of AIThe 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 the Stanford Question Answering Dataset (SQuAD) and
Winograd schemas to illustrate the gap between impressive performance on
specific tasks and genuine comprehension. Finally, the text discusses
the...2024-12-1319 min
Chris's AI Deep Dive12. Machine Translation and Image CaptioningThis 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 technologies are improving and useful, they lack genuine
understanding and remain fundamentally unreliable without human
oversight.2024-12-1214 min
Chris's AI Deep Dive11. Natural Language Processing and Deep LearningThis 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 success with ongoing challenges in tasks like sentiment
classification and question answering. The chapter introduces recurrent
neural networks (RNNs) and word embedding techniques like Word2Vec,
explaining how these methods...2024-12-1115 min
Chris's AI Deep Dive10. Beyond Games: The Limits and Potential of Reinforcement LearningThe 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, even within a single game, AI's performance is highly
sensitive to minor changes, indicating a superficial understanding
rather than genuine comprehension. The text concludes by discussing the
...2024-12-1014 min
Chris's AI Deep Dive9. Mastering Games with Deep LearningThis text traces the history of artificial intelligence (AI) in game playing, starting with early attempts at programming checkers and chess. It focuses on DeepMind's Deep Q-learning algorithm, which enabled AI to surpass human players in various Atari games. The text then explains AlphaGo,
DeepMind's groundbreaking program that defeated a world champion Go
player, highlighting its use of Monte Carlo tree search and deep
convolutional neural networks to achieve superhuman performance.
Finally, it discusses the significance of AlphaGo's success and its implications for the broader field of AI.2024-12-0914 min
Chris's AI Deep Dive8. Reinforcement Learning: Training Robots and BeyondThis text explains reinforcement learning,
a machine learning technique inspired by operant conditioning. It uses
the example of a robotic dog learning to kick a soccer ball to illustrate the core concepts, such as rewards, states, actions, and Q-tables. The text discusses challenges in applying reinforcement learning to real-world scenarios, including the limitations of Q-tables for complex environments and the difficulties of real-world training. Simulations are presented as a solution
to these problems, although limitations in transferring simulated
learning to the real world are acknowledged. The text concludes by
noting that the most successful applications of reinforcement learning
to...2024-12-0814 min
Chris's AI Deep Dive7. Trustworthy AI: Benefits, Trade-offs, and EthicsThe
provided text explores the ethical implications of artificial
intelligence (AI), focusing on the tension between AI's potential
benefits and its inherent risks. It examines the
trustworthiness of AI decision-making in various applications, from
self-driving cars to face recognition technology. The author discusses
concerns about bias, lack of transparency, and potential misuse,
alongside the significant advantages AI offers in diverse fields.
Furthermore, the text considers the complex issue of regulating AI
development and deployment, suggesting a collaborative approach
involving researchers, policymakers, and the public. Finally, the text
contemplates the possibility of imbuing machines with a sense of
morality, highlighting...2024-12-0722 min
Chris's AI Deep Dive6. The Limitations of Deep LearningThis chapter explores the limitations of current deep learning systems. Despite their successes in tasks like image recognition, these systems differ significantly from human learning. The reliance on vast labeled datasets, the inability to handle unexpected situations ("long tail"), and susceptibility to adversarial attacks are highlighted as key weaknesses. Furthermore, the lack of explainability and the presence of biases
in training data raise concerns about the trustworthiness and
reliability of these systems in real-world applications. The chapter
concludes by questioning whether these systems' limitations will
ultimately hinder their broader adoption.2024-12-0615 min
Chris's AI Deep Dive5. ImageNet and the Rise of ConvNetsThis text discusses the history and impact of convolutional neural networks (ConvNets) in computer vision, specifically focusing on their role in the ImageNet competition. It highlights the pivotal role of Yann LeCun's work on ConvNets,
their initial struggles, and their eventual triumph in 2012 due to
increased computing power and the availability of the massive ImageNet
dataset. The creation of ImageNet itself is detailed, emphasizing Fei-Fei Li's innovative use of Amazon Mechanical Turk for image labeling. The text further explores the implications of the ImageNet competition, including a cheating scandal and the subsequent rapid adoption of ConvNets by tech companies...2024-12-0519 min
Chris's AI Deep Dive4. Easy Things Are Hard: The Deep Learning Revolution in Computer VisionThis text explains the challenges of computer vision and the success of convolutional neural networks (ConvNets) in overcoming them. It traces the history of computer vision research, highlighting early failures and the subsequent revolution brought about by deep learning. The author uses the example of distinguishing dogs and cats in images to illustrate
how ConvNets, inspired by the hierarchical structure of the brain's
visual cortex, learn to recognize objects through layers of increasingly
complex feature detection. Finally, the text describes the training process of ConvNets using backpropagation and the importance of large datasets.2024-12-0420 min
Chris's AI Deep Dive3. Artificial Intelligence: The Quest for Human-Level IntelligenceThis
text explores the history of artificial intelligence (AI), focusing on
periods of rapid advancement ("AI springs") and subsequent periods of
slower progress ("AI winters"). It examines the capabilities of current
AI systems, which are mostly "narrow" or "weak" AI excelling at
specific tasks, contrasting them with the hypothetical "strong" or
"general" AI seen in science fiction. The author discusses the Turing
test as a potential measure of AI's advancement and explores Ray
Kurzweil's prediction of a technological "Singularity" where AI
surpasses human intelligence, contrasting Kurzweil's optimism with
skepticism from other AI experts. Finally, the text considers a wager
...2024-12-0322 min
Chris's AI Deep Dive2. Neural Networks and the Ascent of Machine LearningThis text explains the history and mechanics of multilayer neural networks, a type of artificial intelligence. It details how these networks, initially dismissed, became foundational to modern AI through the development of back-propagation, a learning algorithm. The text contrasts this subsymbolic approach with symbolic AI, highlighting the strengths and weaknesses of each and their eventual convergence in machine learning. The ascent of machine learning is linked to increased computing power and data availability, setting the stage for further AI advancements. Finally, the text discusses the ongoing debate regarding the optimal balance between symbolic and subsymbolic AI approaches.2024-12-0225 min
Chris's AI Deep Dive1. The Genesis of Artificial IntelligenceThis episode traces the history of artificial intelligence (AI), beginning with its conception at the 1956 Dartmouth Workshop. It contrasts two major approaches to AI:
symbolic AI, which uses human-understandable symbols and rules, and subsymbolic AI, which draws inspiration from the human brain and uses numerical computations. The narrative highlights the early optimism and subsequent "AI winters" caused by unmet expectations. The text also explains the perceptron, an early example of subsymbolic AI, and its limitations, which contributed to the decline in subsymbolic AI research. Finally, it emphasizes the surprising difficulty of seemingly "easy" tasks for AI, underscoring the complexity...2024-12-0116 min
Chris's AI Deep DiveThe Rise and Fall of a Forbidden FruitDid you know that for most of the 20th century, America only had one type of apple? Yep, that Red Delicious monstrosity that was more decorative than edible. The kind that rattled around in kids’ lunchboxes until it was inevitably traded for pretzels. I’ve never been much of an “apple person” myself. My parents, though? Hardcore apple enthusiasts. During the height of the pandemic, when all the farmer’s markets were closed, they went full pioneer mode and drove to a rural Maryland orchard to buy apples straight from the source. For me apples were were just the vague insp...2024-12-0114 min
Chris's AI Deep DiveThe Grandfather of Skill-Based Matchmaking (SBMM): Arpad Elo and Chess HistoryHow does the history of chess relate to SBMM in games like League of Legends or Rocket League? Well, it all started with Chess and Arpad Elo—the man who invented the Elo rating system.
By the way, back in the day, the only game I owned, besides the obligatory Mario Bros/Duck Hunt combo, was Battle Chess on the NES. I was a one-game gamer. A monogamist. I committed. And now, decades later, I still stick to just one game: Call of Duty, which funnily enough, also revolves around strategic combat. History doesn’t just repeat—it rhy...2024-10-2111 min
Chris's AI Deep DiveBook Club Part 13: Thinking, Fast and Slow by Daniel KahnemanOur hosts discuss Thinking, Fast and Slow, a 2011 popular science book by psychologist Daniel Kahneman.2024-10-2108 min
Chris's AI Deep DiveBook Club Part 12: Thinking, Fast and Slow by Daniel KahnemanOur hosts discuss Thinking, Fast and Slow, a 2011 popular science book by psychologist Daniel Kahneman.2024-10-2013 min
Chris's AI Deep DiveBook Club Part 11: Thinking, Fast and Slow by Daniel KahnemanOur hosts discuss Thinking, Fast and Slow, a 2011 popular science book by psychologist Daniel Kahneman.2024-10-1915 min
Chris's AI Deep DiveBook Club Part 10: Thinking, Fast and Slow by Daniel KahnemanOur hosts discuss Thinking, Fast and Slow, a 2011 popular science book by psychologist Daniel Kahneman.2024-10-1812 min
Chris's AI Deep DiveBook Club Part 9: Thinking, Fast and Slow by Daniel KahnemanOur hosts discuss Thinking, Fast and Slow, a 2011 popular science book by psychologist Daniel Kahneman.2024-10-1711 min
Chris's AI Deep DiveBook Club Part 8: Thinking, Fast and Slow by Daniel KahnemanOur hosts discuss Thinking, Fast and Slow, a 2011 popular science book by psychologist Daniel Kahneman.2024-10-1608 min
Chris's AI Deep DiveBook Club Part 7: Thinking, Fast and Slow by Daniel KahnemanOur hosts discuss Thinking, Fast and Slow, a 2011 popular science book by psychologist Daniel Kahneman.2024-10-1505 min
Chris's AI Deep DiveBook Club Part 6: Thinking, Fast and Slow by Daniel KahnemanOur hosts discuss Thinking, Fast and Slow, a 2011 popular science book by psychologist Daniel Kahneman.2024-10-1415 min
Chris's AI Deep DiveApple Researchers (interns): LLMs can't reason. Shocking!!!Apparently LLMs are as fragile as Samuel L Jackson wearing a purple velvet jacket in a wheelchair in that Bruce Willis movie. It's all just pattern recognition.
https://arxiv.org/pdf/2410.052292024-10-1405 min
Chris's AI Deep DiveBook Club Part 5: Thinking, Fast and Slow by Daniel KahnemanOur hosts discuss Thinking, Fast and Slow, a 2011 popular science book by psychologist Daniel Kahneman.2024-10-1309 min
Chris's AI Deep DiveBook Club Part 4: Thinking, Fast and Slow by Daniel KahnemanOur hosts discuss Thinking, Fast and Slow, a 2011 popular science book by psychologist Daniel Kahneman.2024-10-1212 min
Chris's AI Deep DiveBook Club Part 3: Thinking, Fast and Slow by Daniel KahnemanOur hosts discuss Thinking, Fast and Slow, a 2011 popular science book by psychologist Daniel Kahneman.2024-10-1108 min
Chris's AI Deep DiveBook Club Part 2: Thinking, Fast and Slow by Daniel KahnemanOur hosts discuss Thinking, Fast and Slow, a 2011 popular science book by psychologist Daniel Kahneman.2024-10-1010 min
Chris's AI Deep DiveBook Club Part 1: Thinking, Fast and Slow by Daniel KahnemanOur hosts discuss Thinking, Fast and Slow, a 2011 popular science book by psychologist Daniel Kahneman.2024-10-0906 min
Chris's AI Deep DivePart 7 of Supercommunicators Book Club: Harvard = Happiness?It’s kind of wild that the name “John Marston” belongs to both the gunslinging protagonist of Red Dead Redemption and a sophomore at Harvard who participated in a happiness research study. Speaking of Harvard, I should mention—it’s my alma mater, which, as we all know, is Latin for “fertile young mother.”
In the final episode of the Supercommunicator Book Club, we’re tackling loneliness, high-bandwidth conversations, and the meaning of life. #Communication #Harvard2024-10-0807 min
Chris's AI Deep DivePart 6 of Supercommunicators Book Club: Critiquing NetflixI love how little kids are masters of radical honesty. They’ll look you dead in the eyes and tell you that your Oakley sunglasses make your head look like a marshmallow—completely unfazed by the fact that you are their camp counselor, literally holding their lives in your hands.
Today’s episode dives into a cringe-worthy, not-so-Supercommunicator-level blunder from a legendary company that never quite grew out of its “marshmallow head” phase. We’re looking at you, Netflix! Let’s break down some guidelines for having tough conversations—and how Netflix managed to crawl out of the hole it dug...2024-10-0709 min
Chris's AI Deep DivePart 5 of Supercommunicators Book Club: Stereotypes and DoctorsWe all learned long ago that our social identity is not our job title. I mean, I genuinely feel for all those doctors—of medicine, philosophy, juris, chiro, etc.—whose entire ego is wrapped up in their profession. Still, everyone has an identity of some kind, and sometimes just being aware of a negative stereotype about a group we belong to can mess with how we perform.2024-10-0408 min
Chris's AI Deep DiveModern Warfare 2: Rewriting HistoryIn grad school, I took to heart a quote about how our prosperity, freedoms, and civilization depend on the quality of our leaders and the courage to face facts and find solutions—whether in energy, the environment, the economy, or national security. This truth guided my early career. One day, the truth itself gets lost.
"It is a tribute to the American people that our leaders perceived that they had to lie to us, it is not a tribute to us that we were so easily misled."
- Daniel Ellsberg
2024-10-0207 min
Chris's AI Deep DivePart 4 of Supercommunicators Book Club: Conflict in SocietyFlame war time! In one corner, we’ve got your classic anonymous Reddit troll, armed with downvotes and way too much time. In the other corner, an anonymous Twitter tough guy, throwing hashtags like punches. Who will win in this in-person, Nickelodeon-style jello wrestling match to the death?
To state the obvious, we live in a polarized society where working with someone who has strong opinions is basically inevitable. In this Book Club episode, we break down how Supercommunicators navigate this battlefield. They understand the two layers of conflict and can get both sides talking without any je...2024-10-0108 min
Chris's AI Deep DiveAn existential treatment of a single worldI grew up on Must-See-TV, with Seinfeld nights every Thursday on NBC. One of my life goals? Make a show about absolutely nothing. Picture this: some kid gets called to the front of the class to give a speech, but he’s got zero prep, no plan—just pure panic. Now imagine stretching that awkward moment into an entire show… about one single word. It’s basically procrastination in primetime.2024-10-0103 min
Chris's AI Deep DivePart 3 of Supercommunicators Book Club: F.R.I.E.N.D.S.Alright, you internet cyborgs, did you know that how you laugh can literally make or break a high-stakes job interview with an executive? And making friends at work? It’s no different than those late-night pow-wows freshman year when you stayed up until 5 AM bonding over questionable life choices.
Honestly, I debated posting this because, as a naturally-born Supercommunicator, explaining this stuff is like teaching someone how to walk or pop up on a surfboard. I barely think about it—it just happens, like some spontaneous magic trick. But, for those of you who aren’t telepathically blesse...2024-09-2812 min
Chris's AI Deep DivePart 2 of Supercommunicators Book Club: Dream TeamAs a child of the ‘90s, I was obsessed with Dream Teams. Maybe that’s why I’m now a full-blown OCD adult when it comes to working with A-players. (Seriously, if you can’t hang with the ’96 Bulls vibe, what are we even doing here?) Being a master trial lawyer isn’t just about throwing around logic and data—it’s about connecting with the jury on a human level.
In this episode, we dive into how Supercommunicators—aka conversation ninjas—instinctively know to ask, “What’s this really about?” during a convo. And how you can use that skill in ever...2024-09-2607 min
Chris's AI Deep DivePart 1 of Supercommunicators Book Club: Spy GameIn the 2001 classic Spy Game, a grizzled CIA lifer played by Robert Redford recruits a young-ish Brad Pitt to head to Lebanon and take pictures of Hezbollah… while rocking a San Diego Padres baseball cap. Seriously? That’s his idea of “blending in”?
In the 2024 book Supercommunicators, we meet an equally clueless CIA recruiter who teaches himself to become a better listener and conversationalist. We’ll dive deep into his transformation—and discuss the “3 Kinds of Conversation” in a way that would make even a Padres fan blend in…2024-09-2410 min
Chris's AI Deep DiveAndrew Huberman Paper Discussion: The Mice Vision YearsThis morning, I woke up at 5:30, stared out at the blue ocean, and settled into my ice bath like a true modern-day Stoic. Breakfast? Two glasses of ice water with a dash of salt—for optimal ionic flow. As I sipped my electrolyte masterpiece, I pondered life’s great mysteries: “Google, what’s Andrew Huberman’s most famous research?” Turns out, it’s a 2011 paper in the journal, Trends in Neurosciences, on mice and vision systems. So, before you scurry off into your maze of polyamorous research, maybe hit play on this episode first.2024-09-2409 min
Chris's AI Deep DiveLex Fridman PhD DissertationBefore Lex Fridman became the podcasting superhero, cat-rescuer, and jiu-jitsu blackbelt we know today, he earned his PhD in electrical and computer engineering at Drexel. Interestingly, his entire dissertation focused on disrupting the cookie market. No, not the kind you eat. Tune in to hear Lex’s innovative ideas around digital authentication and fingerprints. It’s almost like he’s channeling another evil genius Lex? mwa·ha·ha·ha2024-09-2407 min
Chris's AI Deep DiveFaulkner, eat your heart out: A memoir of Bozeman Montana.Some might say this memoir reads like it was co-authored by William Faulkner and James Dickey. Just as, Faulkner’s "As I Lay Dying" gives us 15 narrators each spinning their own take on the same story, this here podcast follows two friends, Zack and Chris, on their adventure through Montana and Yellowstone. It’s a day-by-day journal, with both guys giving their unique perspectives on fishing, hiking, and sightseeing. And yes, there’s a sprinkle of James Dickey's Deliverance in there, but don’t worry—this time, it’s all scenery and serenity, no squealing required.2024-09-2306 min
Chris's AI Deep DiveOpen AI's Ilya Sutskever PhD Dissertation“Ilya!!! Et tu, Ilya?”
Friends, colleagues, Youtube influencers, lend me your ears: before Ilya’s almost coup, he wrote a PhD dissertation that still gives me nightmares—reliving my first year of grad school, waking up in a cold sweat, haunted by visions of Hessian matrices. Honestly, scarier than any failed boardroom drama. #OpenAI #Shakespeare2024-09-2206 min
Chris's AI Deep DiveBook Club Series Teaser: Supercommunicators by Charles DuhiggEver notice how some people have that magical ability to make you feel heard, seen, and genuinely interesting, whether you’re pitching in a boardroom or flirting on a date? These freaks of human interaction are what Charles Duhigg calls “Supercommunicators.” (I’m pretty sure he coined it, but let’s be real—Tony Robbins probably trademarked it in the ’90s.)
What's their secret to being world-class empaths? Maybe it's genetics? Maybe it's upbringing? Maybe it's Maybelline?
Welcome to Book Club—it’s like Fight Club, but instead of Project Mayhem, we’ll be methodically working our way thro...2024-09-2106 min
Chris's AI Deep DiveAttention is All You Need Paper by Google BrainThis is the paper that kicked it all off. The Genesis chapter of AI. Today, we’re diving into Transformer architecture. Sure, we’ve all heard about tokens and vectors—yawn—but did you really get what multi-head attention does? Spoiler: it’s not just an AI with commitment issues. #AI #google
https://arxiv.org/abs/1706.037622024-09-2010 min
Chris's AI Deep DiveData Science 101: Regression Discontinuity and Jurassic ParkWhat's that name for that crazy mathematical theory where a drop of water on Laura Dern's hand causes genetically engineered dinosaurs in Costa Rica to go on a killing rampage? In this episode, we’re talking about a final tool in the data scientist’s toolkit—a tool so mystical, every recent PhD attempts to apply it to show off how well rounded they are, but few can actually convince a VP with an MBA that it is not sorcery. 2024-09-1713 min
Chris's AI Deep DiveData Science 101: Panel Data, Fixed Effects, and Back to the FuturePanel Data is basically like having a time machine for statistics, but minus the DeLorean. 2024-09-1708 min
Chris's AI Deep DiveData Science 101: Causal Inference and MatchingDid you know cigar smokers have a higher mortality rate than cigarette smokers? And people driving a Subaru WRX with tinted windows have a 100% chance of vaping? It’s science. In this podcast, we tackle the issues confounding causal inference and offer a simple solution: matching. It’s my go-to tool because we can crank out quick and dirty directional results in 24 hours and hand them to the CEO—without spending weeks writing a Master’s thesis. Because let’s face it, nobody has time for that.2024-09-1708 min
Chris's AI Deep DiveData Science 101: Difference in DifferencesI went to Jack-in-the-Box after the latest minimum wage hike, and let me tell you, the franchise fast food business model is falling apart. It took over 20 minutes to get my Jumbo Jack® Cheeseburger because they had one poor employee running both the drive-thru and the counter. Multitasking, sure, but not in a good way. This podcast dives into a data science technique called Difference in Differences—because apparently, solving wage issues with stats is faster than getting your burger these days. #minimumwage #aca2024-09-1711 min
Chris's AI Deep DiveData Science 101: Synthetic Control DemystifiedYour eyes aren’t playing tricks on you. One of these men is the Rock, the actor. The other? A wax version of the Rock, aka a “Synthetic Control,” crafted to look like… well, the first guy. Personally, I prefer the real Rock—especially in that disaster movie where California plunges into the ocean thanks to a massive earthquake—but I digress. This podcast dives into an equally obscure data science technique, “synthetic control,” that helps prove causality when a clean A/B test isn’t possible. 2024-09-1711 min
Chris's AI Deep DiveAndrej Karpathy's PhD DissertationWho would have thought Andrej Karpathy, the mastermind behind Tesla’s “it’s not advanced cruise control, it’s autopilot,” wrote his PhD dissertation on Barack Obama? Check out the podcast to learn more. #Tesla
https://cs.stanford.edu/people/karpathy/main.pdf2024-09-1707 min
Chris's AI Deep DiveData Science 101: Instrumental Variables DemystifiedInstrumental variables are a fancy technique data scientists use to prove causality—I think I spend about 50% of my time in meetings reminding executives "correlation isn't causation" (I'm VERY popular). But let’s be real, you’ve got about as much chance of finding a naturally occurring “instrumental variable” as you do of spotting Bigfoot. That’s why A/B testing is so powerful—it’s like buying a Bigfoot costume off Amazon and terrifying hikers, but with stats!2024-09-1709 min
Chris's AI Deep DiveMrBeast Internal Playbook (Leaked)MrBeast has racked up over 300M subscribers on Youtube and is known for pushing the boundaries on innovation, as well as kids' waistlines with his overly fatty "Feastables" chocolate bars. Today, we deep dive into his recently leaked internal document, a top-secret recipe for going viral that’s spicier than the time he gave away an island. Who would have thought he was obsessed with analytics?2024-09-1710 min
Chris's AI Deep DiveMy PhD DissertationLet's talk about my favorite topic: myself, in the third person
https://www.proquest.com/docview/12372830802024-09-1706 min
Chris's AI Deep DiveWaymo CEO's PhD DissertationDmitri A. Dolgov is the CEO of Waymo. This podcast explains his PhD dissertation from 2006 (Computer Science Department, University of Michigan).
https://ai.stanford.edu/~ddolgov/dolgov06phd.html2024-09-1711 min
Reborn Into VictoryDevotion on book of Mark 11:12-26Jesus cursed the fig tree becasue it didn't bear fruits. Have we connected with Jesus to bear fruits? 2020-09-1616 minReborn Into VictoryDevotion on book of Mark 11:1-11Are we preparing for a man made parade or the biblical future?2020-09-1619 minReborn Into VictoryDevotion on book of Mark 10:46-52What faith we need to have to experience the healing of the Lord? 2020-09-1515 minReborn Into VictoryDevotion on book of Mark 10:32-45Jesus is to help the disciples to have a new understanding on what greatness is in the kingdom of God. 2020-09-1420 min
Reborn Into VictoryDevotion on book of Mark 10:17-31Do we see Jesus as Teacher or the Lord? Have we just come to Jesus for the knowledge of Salvation or receive Him as Salvation? 2020-09-0224 min
Reborn Into VictoryDevotion on book of Mark 10:1-16How did Jesus respond to people who were trying to find loophole in the Law of God to justify Divorce?2020-09-0223 min
Reborn Into VictoryDevotion on book of Mark 9:38-50Have we cut off everything in our lives which might lead us into fire?2020-08-3115 min
Reborn Into VictoryDevotion on book of Mark 9:30-37Have we truly understood the prophecy of Jesus Christ? Have we adapted the value system of the kingdom of God?2020-08-3122 min
Reborn Into VictoryDevotion on book of Mark 9:14-29Faithless generation, what does it mean to have faith?2020-08-2721 min
Reborn Into VictoryDevotion on book of Mark 9:2-13Have we truly understood the mission of Christ and willing to follow Him the way He wants us to?2020-08-2617 min
Reborn Into VictoryDevotion on book of Mark 8:27-9:1Have we had those Satanic thoughts as Peter did? What does it mean to follow Jesus Christ? Let's find out2020-08-2619 min
Reborn Into VictoryDevotion on book of Mark 8:22-262 Steps of healing process? where are we? Are we seeing people as subjects or the children of the Lord who Jesus has died for?2020-08-2414 min
Reborn Into VictoryDevotion on book of Mark 8:10-21Beware of the leaven of the Pharisees, and of the leaven of Herod. Have we had the leaven of the Pharisees that we keep forgetting or denying the miracle of God?2020-08-2015 min
Reborn Into VictoryDevotion on book of Mark 8:1-9Jesus had compassion on the people, how about us?2020-08-1919 min
Reborn Into VictoryDevotion on book of Mark 7:24-37Have we begged the bread of heaven?2020-08-1822 min
Reborn Into VictoryDevotion on book of Mark 7:1-23Have we had our heart changed?2020-08-1731 min
Reborn Into VictoryDevotion on book of Mark 6:45-56Sometimes difficult times are the ones bringing us close to Jesus.2020-08-0618 min
Reborn Into VictoryDevotion on book of Mark 6:33-44The bread of life2020-08-0524 min
Reborn Into VictoryDevotion on book of Mark 6:7-12&30-32The work of Jesus Christ. He calls, He enables, He equips. Let's have him in our lives.2020-08-0423 min
Reborn Into VictoryDevotion on book of Mark 6:1-6&14-29Have we ever rejected the truth because of our own pride?2020-08-0320 min
Reborn Into VictoryDevotion on book of Mark 5:21-24 &35-43Can we surrender our emotion to Jesus so that we can experience the miracle of life?2020-08-0318 min
Reborn Into VictoryDevotion on book of Mark 5:24-34Are we going to be like the crowd who was following Jesus but stand in the way of people who really need Jesus?2020-07-3017 min
Reborn Into VictoryDevotion on book of Mark 5:1-20sigh, evil spirit met the Lord again. Jesus wins. 2020-07-2922 min
Reborn Into VictoryDevotion on book of Mark 4:35-41We do have fear in our lives? Didn't Jesus care for his disciples?2020-07-2816 min
Reborn Into VictoryDevotion on book of Mark 4:21-34Is there the fire burning in our heart?2020-07-2723 min
Reborn Into VictoryDevotion on book of Mark 4:1-20Jesus didn't want people to be converted? Why did Jesus speak things in parables Let's find out.2020-07-2725 min
Reborn Into VictoryDevotion on book of Mark 3:20-35what does blasphemes mean? Have we rejected the work of Holy Spirit?2020-07-2322 min
Reborn Into VictoryDevotion on book of Mark 3:7-19Mountain Disciple or sea Christian? Focus on the most effective way to win souls.2020-07-2220 min
Reborn Into VictoryDevotion on book of Mark 3:1-7Do we have the joy coming to worship God every week? Healing on Sabbath turns people away?2020-07-2117 min
Reborn Into VictoryDevotion on book of Mark 2:13-28Eating with sinners? Fasting with Saints? Who is the focus of the Sabbath? Let's find out!2020-07-2025 min
Reborn Into VictoryDevotion on book of Mark 2:1-12What a real friend would do? Which one is easier for Jesus to heal your sickness or forgive your sin? the power of home group. the cost of having Jesus at our own place.2020-07-1922 min
Reborn Into VictoryDevotion on book of Mark 1:40-45Jesus healing the leper? Do we have the leprosy in our heart that only Jesus can heal?2020-07-1721 min
Reborn Into VictoryDevotion on book Mark 1:29-39Purpose over Popularity. Jesus's prayer time. Jesus healing the sick. 2020-07-1621 min
Reborn Into VictoryDevotion on book Mark 1:21-29Holy Spirit vs Evil Spirit. Gospel of Jesus Christ. Anointed. Hold thy Peace, and come out of him.2020-07-1522 min
Reborn Into VictoryDevotion on book Mark 1:14-20The gospel of Jesus Christ. Time is fulfilled and the kingdom of God is at hand. The joy of surrender to God's call. Fishers of man.2020-07-1225 min
Reborn Into VictoryDevotion on book Mark 1:1-13John the Baptist~ baptism of repentance, son of God. Identity.2020-07-0822 minReborn Into VictoryWhat does it mean Jesus is the Lord?Do you have the complete gospel? Do you understand Jesus is not just Christ but also the LORD? Come and find out. The missing part of the gospel.
Jesus is the Lord and Christ.
Holiness is the end of the Salvation. Calvary and Cross of Jesus is the beginning of Christian Journey. 2020-06-2720 min