The Deep Dive

In this episode:The study that found a 17% drop in concept mastery among heavy AI usersThe difference between using AI to think faster vs. using it to avoid thinking"Why did this save me time?" is only half the question worth askingThe calculator analogy that reframes everything about AI dependencyOne simple habit that keeps your skills sharp while still using AIKey takeaway: How you use AI matters as much as whether you use it. AI as a thinking partner builds you up. AI as a thinking replacement quietly hollows you out. The difference is a small shift in intention, and it's completely in your control.Your homework this week: Notice one moment today where you reach for AI out of habit. Pause and ask: am I using this to learn and think better, or to skip the thinking entirely? Just noticing is enough to start.Mentioned in this episode:Study on AI use and concept mastery (17% lower retention among production-focused users)The "thinking partner vs. thinking replacement" frameworkGetting Smart: research on AI and cognitive laziness in educationNext episode: When AI gets it dangerously wrong, we look at real-world failure rates and the one question you should ask before trusting any AI tool with something important.

Episode summary: Everyone's talking about how powerful AI is. But here's what the hype machine skips over: most AI projects never make it into real use. In this episode, we look at why, and what it means for you as a beginner trying to figure out which tools are actually worth your time.In this episode:Why over 80% of enterprise AI projects never make it past the demo stageThe difference between AI that impresses and AI that actually worksWhat "built for a demo" looks like vs. built for real lifeThe one question that makes you a smarter AI user immediatelyWhy being a careful, intentional beginner is a genuine advantage right nowKey takeaway: More AI doesn't mean better AI. The tools that change people's lives are specific, tested, and built to solve one real problem really well, not to look good in a meeting.Your homework this week: Think of one tool or app you already use. Ask yourself: does it work reliably every time, or just most of the time? That question is the beginning of thinking like a smart AI user.Next episode: Is AI quietly making us worse at our jobs? We look at a surprising study — and what it means for how you use these tools day to day.

This podcast evaluates a 2024 research paper by Klaus Solberg Soilen regarding the efficacy of AI in intelligence forecasting. The source examines how well large language models have performed against human analysts, noting that while AI now outperforms the average person, elite human superforecasters still maintain a slight competitive edge. Key challenges identified include the "Crystal Bowl Conundrum," which describes the persistent difficulty of verifying AI-generated information and its lack of transparent sourcing. The discussion also validates the necessity of separating the creative prompting process from rigorous information quality control to mitigate errors. While Soilen’s broad theories on technological integration proved accurate, his specific geopolitical predictions regarding China’s economic dominance were overly optimistic. Ultimately, the text illustrates that the U.S. leads in computational power, though the primary hurdle remains the trustworthiness of automated insights.

In this episode, hosts Jake Shinto and Jessica pull back the curtain on artificial intelligence to reveal that it isn’t nearly as intimidating as sci-fi movies make it out to be. Far from being a "scary robot brain," AI is a practical tool already woven into our daily lives, from the directions we follow on Google Maps to the timers we set with Siri.Whether you're an AI enthusiast or a total skeptic, this episode offers a grounded, approachable perspective on how to view these new digital assistants as helpers rather than miracle workers.

Today we critique the tech industry’s fixation on building humanoid robots. While companies design robots with two legs to fit existing human infrastructure and utilize imitation learning, This approach is mechanically inefficient and prohibitively expensive. I highlight that bipedal movement requires immense computational power and battery life compared to simpler, more stable designs like wheeled or quadruped robots. Ultimately, specialized modular tools and robot-friendly environments are more practical than creating expensive machines that mirror the human form. The pursuit of human-like robots is driven more by venture capital and ego than by sound engineering principles.

What comes next? How with Anthropomorphic play into the future of AI?

In this episode of The Deep Dive, we explore the cutting-edge world of Neural Radiance Fields, or NeRFs. Host Jake breaks down how this AI technology is moving beyond traditional 3D modeling and photogrammetry to "sculpt light" in five dimensions. From reconstructing crime scenes to the future of 3D Zoom calls, we discuss how NeRFs are changing our digital experience from flat representations to immersive volumes.

In this episode of The Deep Dive, host Jake Shinto examines the staggering humanitarian and geopolitical crisis unfolding in Iran following the massive military strikes launched on February 28, 2026. The discussion traces the path from the country's early 2026 economic collapse and the "Woman, Life, Freedom" protests to the current state of total communication blackouts and devastating civilian casualties, such as the strike in Minab. Shinto analyzes the severe degradation of the regime's military capabilities and the precarious vacuum left in the wake of leadership assassinations, questioning what—if anything—can safely replace the crumbling Islamic Republic. Ultimately, the episode serves as a somber reflection on a nation at a violent crossroads, where the Iranian people continue to pay the highest price for a transformation they have long sought but never imagined would arrive through foreign intervention.

A direct, intimate connection to an artificial mind.

The phrase "a dog is a boy’s best friend" is deeply embedded in American culture, reflected in countless stories and films that capture the enduring bond between them. In the field of developmental psychology, it is crucial to examine the mechanics of this bond. More importantly, research must determine if this connection can serve as a key intervention for at-risk boys who are in danger of entering the juvenile justice system

We are building a transformative technology (AGI). This technology will likely determine the future global balance of power. However, the structure of the international competition to achieve it first creates inherit risks that could undermine safety and stability.

Beyond the Loop: Goals, Drones, and the New Frontier of Autonomy

From AI to AGI, new but old learning methods rethought.

A quick podcast regarding US versus China AI and if one or the other is leading the way,

Exploring the May 2024 paper by Valarie Storey and Amiee Wagner titled: Integrating Artificial Intelligence Into Adult Education.https://www.researchgate.net/publication/380422376_Integrating_Artificial_Intelligence_AI_Into_Adult_Education

I wanted to share my personal statement and give some insight into who I am and why I am interested in these topics.

We collectively examine the complex intersection of artificial intelligence and digital deception, highlighting how modern technology can be used to fabricate and spread high-quality misinformation.