Intellectually Curious
Intellectually Curious is a podcast by Mike Breault featuring over 1,800 AI-powered explorations across science, mathematics, philosophy, and personal growth. Each short-form episode is generated, refined, and published with the help of large language models—turning curiosity into an ongoing audio encyclopedia. Designed for anyone who loves learning, it offers quick dives into everything from combinatorics and cryptography to systems thinking and psychology.
Inspiration for this podcast:
"Muad'Dib learned rapidly because his first training was in how to learn. And the first lesson of all was the basic trust that he could learn. It's shocking to find how many people do not believe they can learn, and how many more believe learning to be difficult. Muad'Dib knew that every experience carries its lesson."
― Frank Herbert, Dune
Note: These podcasts were made with NotebookLM. AI can make mistakes. Please double-check any critical information.
Episodes
1904 episodes
Andrej Karpathy's Self-Organizing, AI-Powered Knowledge Base
Explore Andrej Karpathy's blueprint for turning a messy pile of notes, articles, and data into a self-organizing, AI-powered knowledge base. Start by dumping raw documents into a single folder, clip content into Markdown, and let an LLM synthes...
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6:03
The LLM is the Computer
A deep dive into Percepta's breakthrough: shrinking memory bottlenecks with 2D attention, enabling a native virtual computer inside a language model. We unpack convex-hull memory queries, a WebAssembly interpreter running in vanilla PyTorch wei...
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5:22
Generative Engine Optimization: The AI-Powered Rewrite of Discovery
We dissect the shift from traditional SEO to generative engine optimization (GEO). With zero-click searches surging, visibility now hinges on information density, machine-readable schemas, and credible human validation. Learn why structured dat...
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5:35
Gaia20ehk: A Planetary Collision That Shapes New Worlds
A real-time cosmic collision 11,000 light-years away unfolds as two giant planets in the Gaia20ehk system spiral inward, grazing in 2016 and colliding head-on in 2021. Archival data decoded at the University of Washington reveal a glowing debri...
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5:23
The Late Paleozoic Oxygen Pulse
We pull from geochemical models and paleobiology studies to explore the late Paleozoic oxygen surge—when atmospheric oxygen spiked to tens of percent and giant insects and vast forests thrived. Learn how dense air made flight easier and allowed...
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6:14
TurboQuant: The 3-Bit Breakthrough Making AI Faster and Smaller
Google Research's TurboQuant uses polar quant and Quantized Johnson-Lindenstrauss to shrink the KV cache to roughly 3 bits per value, delivering up to 8x speedups and sixfold memory savings on high-end GPUs without sacrificing accuracy. We unpa...
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6:18
The AI Scientist: Automating the Scientific Life Cycle
We unpack the March 25, 2026 paper that envisions an AI system capable of ideation, experimentation, write-up, and internal peer review to autonomously advance scientific research. Learn how Claude Sonnet 4 writes and tests code, how Semantic S...
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5:32
Protein Truths and Fiber Focus: A Stanford Reality Check
We cut through the hype around protein bars, powders, and the latest dietary guidelines, using a Stanford Medicine report to explain what our bodies actually need. Learn how muscle growth is sparked by resistance training, why higher protein ta...
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5:48
AI and the High Temperature Superconductivity Challenge
Could AI become the ultimate research assistant? In this deep dive, we review a study that pits six LLMs against a curated database of 1,726 high-temperature superconductivity papers, using custom retrieval architectures to fight misinformation...
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6:28
Black Mass: Turning Spent EV Batteries into a Circular Economy
We dive into how the industry converts dead EV batteries into 'black mass,' a concentrated mix of lithium, nickel, cobalt, and manganese. From safe disassembly and inert shredding to hydrometallurgy that recovers 95–99% of metals with far less ...
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5:25
The Silicon Geologist: Mapping Alien Worlds with AI
A dive into a hybrid AI architecture that maps exoplanet minerals by linking atmospheric chemistry and host-star composition to surface geology. Learn how millions of synthetic planetary systems train proactive AI agents to generate a prospecti...
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5:54
Spacetime Bounds on Consciousness: Chords, Arpeggios, and the BCI Frontier
We unpack Michael Timothy Bennett’s Spacetime Bounds on Consciousness, asking whether a unified mind is a simultaneous chord or a sequential arpeggio. Using the piano-lag metaphor, we explore how the speed of information and integration windows...
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4:48
From Local News to GroundSource: AI That Predicts Floods 24 Hours Ahead
This episode explains how satellites miss localized weather and how GroundSource uses 20+ years of local journalism to train an AI that converts unstructured headlines into precise, actionable flood forecasts. Through a strict four-step prompt—...
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5:13
Two Realities, One Team: Trust and Cooperation in Mixed Reality
A 2026 study investigates what happens when mixed reality introduces digital curveballs. In 104 participants paired to memorize nine virtual objects, researchers secretly swap the positions of one or two objects for one member. The invisible di...
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4:28
AI to the Rescue: Rosie the Dog's Cancer Cure
A Sydney tech entrepreneur treats a terminal cancer diagnosis as a data problem, sequencing his dog Rosie’s DNA, modeling cancer proteins with AlphaFold, and using AI to generate a bespoke mRNA vaccine. After months of ethics approvals and lab ...
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5:36
Crystal Shadowing at CERN: AI-Driven Beams and the Quest for Higher Proton Power
A deep dive into how bent silicon crystals create a protective shadow to stop a dangerous high-speed beam leak in CERN's SPS, cutting losses by 50%, and how a three-crystal, AI-controlled system keeps alignment as protons ramp up fourfold for f...
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4:59
Grounded Navigation: Google's Gemini Turns Maps into a Local Concierge
We dissect Google's March 2026 Gemini update, which makes navigation a conversational, ground-truth experience with 3D lane views, landmark-based turns, and hands-free Ask Maps. We explore how the system stays firmly grounded by cross-checking ...
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5:20
CHMV2: Mapping the World’s Forest Canopies at 1-Meter Resolution
We explore how the World Resources Institute and Meta built CHMV2, a global canopy height map at 1-meter resolution. Using a self-supervised AI that predicts 3D depth from 2D satellite imagery, anchored by independent tree detection and aligned...
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5:27
The Secret Twist: How Cats Land on Their Feet
From Marey’s 1894 high‑speed footage to a 2026 Anatomical Record study, we unpack how cats reorient in free fall without net spin. We explore why a uniform spine can’t explain the tuck‑and‑turn, how front‑loaded spinal flexibility and asymmetri...
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5:01
GigaTime: Translating the Tumor’s Language with Open-Source AI
We explore Microsoft Research’s GigaTime, an open-source AI that translates cheap H&E slides into virtual 21-channel maps of the tumor microenvironment. Learn how 40 million cells were learned, 14,000 patient validations, and 1,200+ immune–...
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6:04
Thermophotovoltaic Energy Conversion: From Heat to Electricity via Photons
We unpack thermophotovoltaic energy conversion—how MIT and NREL bypass turbines to convert infrared heat directly to electricity. Learn why gallium antimonide and silicon carbide heat storage pushed efficiency from 41% in 2022 to 44% in 2024, t...
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4:47
Borromean Rings: From Tangled Cords to Topological Quantum Computing
We explore the elegant Borromean rings—three loops interlocked so that no two are linked, yet all three are inseparably bound. Delving from a medieval heraldry symbol to quantum physics, we unpack Efimov states, discrete scale invariance, and h...
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6:14
NVIDIA Nemotron 3 Super: Powering High-Throughput Agentic AI
Today we unpack NVIDIA's brand-new blog post on the Nemotron 3 Supermodel and how it powers high-throughput agentic AI. We break down a 1,000,000-token context window, a hybrid mixture-of-experts architecture that routes tasks to subnetworks to...
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4:09
Why AI Agents Prefer Bitcoin
Can autonomous AI agents negotiate, pay, and transact with machine-level speed? We unpack a Bitcoin Policy Institute study that tested 36 frontier AI models to see what money they prefer when managing a treasury and executing daily transactions...
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4:54
Agent Harness: Turning AI Models into Proactive Co-Workers
Discover how the Agent = Model + Harness framework turns a raw AI model into a proactive co-worker. We dive into a foundational workspace for persistent memory, a safe sandbox for code execution, and context-management with compaction, plus the...
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3:57
