The Phront Room - Practical AI

The Age of the Agent Shopper: How AI Is Redefining Consumption Hosted by Nathan Rigoni In this episode, we explore the shifting landscape of consumer behavior as we transition from the era of "sensory manipulation" at the grocery store shelf to the age of the autonomous agent shopper. We move beyond the marketing hype to discuss the technical architecture of AI agents—the combination of...

Physics of Language Models: Part 3 – The Truth About Knowledge, Memorization, and "The Hallucination" Hosted by Nathan Rigoni In this episode, we tackle the third installment of Meta’s "Physics of Language Models" series, focusing on a problem that plagues every user of AI: Hallucinations. We go deep into the mechanics of how a model decides whether to store a fact as a "rule" (generalization) or...

Physics of Language Models: Part 2 – Grade School Math, Depth, and the Power of Mistakes Hosted by Nathan Rigoni In this episode, we move beyond general language patterns to explore how Large Language Models (LLMs) grapple with the rigid logic of mathematics. Using the second installment of Meta’s "Physics of Language Models" research, we investigate whether models are simply "stochastic parrots"...

Physics of Language Models: Part 1 – Hierarchical Structure, CFGs & Mechanistic Interpretability Hosted by Nathan Rigoni In this episode, we dive into the first paper of Meta’s "Physics of Language Models" series to explore how AI learns the hidden rules of grammar. We ask a fundamental question: can a statistical next-token predictor truly understand the hierarchical structures of l...

AI in Cybersecurity: Shifting the Bottleneck from Enrichment to Judgment Hosted by Nathan Rigoni | Special Guest Brad Proctor In this episode, we sit down with Brad Proctor, Director of Operations at MAD Security, to explore the frontline reality of how artificial intelligence is transforming cybersecurity operations. We move beyond the marketing hype of "AI Sockets" to discuss the mecha...

The Physics of Language Models – Word2Vec, Geometry, and the Foundations of Mechanistic Interpretability Hosted by Nathan Rigoni In this episode, we lay the foundation for a deep dive into "The Physics of Language Models," a series of papers from Meta that explore how these models actually work under the hood. We journey back to the early days of machine learning to transition from the &...

Wittgenstien's Lion Problem – AI, Language, Embodiment & the Quest for a “True Self”  Hosted by Nathan Rigoni | Guest: Derek Koehl, Lecturer in Applied Experimental Psychology, University of Huntsville, Alabama In this episode we dive into the perplexing “lion” thought‑experiment that Wittgenstein uses to expose the limits of language, and we ask: can a perfect English‑speaking lion ever b...

The Undrawn Lion: Wittgenstein, Language Limits, and the Future of AI  Hosted by Nathan Rigoni In a snow‑bound cabin of 1919, Ludwig Wittgenstein sketched a lion devouring a mouse on a blackboard—yet the lion itself never appeared. What does an undrawn lion tell us about the boundaries of language, the mysteries uncovered by Gödel, and the way today’s large language models seem to “talk” without e...

Agents & the Rise of Tool‑Calling AI   Hosted by Nathan Rigoni In this episode we explore the new frontier of artificial intelligence: agents that can call tools, run code, and act in the real world. How does giving a language model the ability to invoke functions or interact with a command‑line change the way we build software, automate workflows, and think about AI’s role in every industry?...

The Socratic Mirror: From Ancient Athenian Courts to Artificial Superintelligence Hosted by Nathan Rigoni In this episode we travel from the marble steps of Greece in 399 BCE to the humming data centers of the 2020s. How did Socrates’ fearless questioning of Athenian power foreshadow today’s struggle to understand machines that may soon outthink us?  We unpack the “Apology” of Socrates, explore th...

Chain of Thought: From Descartes to Machine Minds Hosted by Nathan Rigoni In this episode we travel from the candle‑lit study of 17th‑century Descartes, who stripped away every belief to find the one certainty “I think, therefore I am,” to today’s glowing screens where large language models generate their own inner monologue. How does the age‑old philosophical quest for self‑knowledge map onto a m...

Retrieval‑Augmented Generation (RAG) – Boosting LLM Reading Comprehension  Hosted by Nathan Rigoni In this episode we unpack retrieval‑augmented generation, the technique that lets large language models fetch the right information before they answer. How can giving an LLM a “search engine” inside its own workflow turn it into a reliable reading‑comprehension partner, and why does that matter for r...

Prompting and Context: The Key to Great LLM Interaction Hosted by Nathan Rigoni In this episode we unpack the art and science of prompting large language models. Why does a simple change of context turn a generic answer into a precise, on‑target response? We explore the rise (and controversy) of “prompt engineering,” the power of zero‑shot prompting, and how contextual alignment can replace costly...

AI in Banking: Risks, Automation & the Future   Hosted by Nathan Rigoni | Guest: Chris Rigoni – EVP Head of Partner Banking and Payments at Axiom Bank, 17 years in financial services, expert in tokenization, payments and AI‑driven innovation In this episode we explore how artificial intelligence is reshaping the banking industry—from tokenization and zero‑shot prompting to automated risk monit...

Pre‑training vs Fine‑tuning: How AI Learns Its Basics Hosted by Nathan Rigoni In this episode we break down the two foundational stages that turn raw data into useful AI systems: pre‑training and fine‑tuning. What does a model actually learn when it reads billions of words or scans millions of images, and how do we reshape that knowledge into behaviors like answering questions, writing code, or de...

Multimodal Models: Vision, Language, and Beyond Hosted by Nathan Rigoni In this episode we untangle the world of multimodal models—systems that learn from images, text, audio, and sometimes even more exotic data types. How does a model fuse a picture of a cat with the word “feline” and the sound of a meow into a single understanding? We explore the building blocks, from early CLIP embeddings to th...

Large Language Models: Building Blocks & Challenges Hosted by Nathan Rigoni In this episode we dive into the heart of today’s AI—large language models (LLMs). What makes these gigantic text‑predictors tick, and why do they sometimes hallucinate or run into bias? We’ll explore how LLMs are trained, what “next‑token prediction” really means, and the tricks (chain‑of‑thought prompting, reinforcem...

AI in Space: How AI Is Transforming NASA’s Engineering   Hosted by Nathan Rigoni | Guest: Thomas Brooks – Aerospace Engineer, NASA Marshall Space Flight Center Advanced Concepts Office In this episode of The Phront Room we dive into the ways artificial intelligence is reshaping space exploration—from automating routine meetings to enabling autonomous robots that can explore distant worlds without...

AI in Education   Hosted by Nathan Rigoni | Guest: Travis Bailey – Veteran middle‑school teacher in Huntsville, AL, with 15 years of classroom experience, exploring how AI is reshaping teaching and learning. Teachers say the biggest change in recent years isn’t the curriculum—it’s the students. From post‑COVID digital classrooms to AI‑driven lesson planning, educators are wrestling with a new real...

Audio Processing Basics – Hosted by Nathan Rigoni In this episode of The Phront Room we dive into the world of sound, breaking down how raw audio waves become the speech‑to‑text and text‑to‑speech systems we use every day. From the historic phonograph to modern wake‑word assistants, we explore the science behind capturing pressure changes in air and turning them into meaningful symbols. What if yo...

Basics of Image Processing   Hosted by Nathan Rigoni Ever wondered how a computer can “see” a picture and even generate new videos from a single frame? In this episode of The Phront Room  we break down the fundamentals of image processing—from pixels and RGB channels to convolutional neural networks that turn raw visual data into actionable AI insights. By the end you’ll understand how machines co...

AI in Tokenization: Byte‑Latent Transformers, H‑Net & Bolmo   Hosted by Nathan Rigoni | Guest: Jordan Conragan – Research Engineer at 11 Labs (formerly a Lockheed Martin colleague) How can we make language models treat every byte of text as efficiently as a byte‑level transformer, and what does that mean for the future of AI‑driven computation? Could dynamic patching and entropy‑based chunking...

AI in Dentistry: Transforming Practice and Expanding Care Hosted by Nathan Rigoni | Guest: Ben Kellum – dentist, founder of Transcend Dental Implants and co‑director of the Restore Dental nonprofit. ⁠https://transcenddentalimplants.com/⁠ ⁠https://restore-dental.org/⁠ In this episode of The Phront Room open.spotify.com we explore how artificial intelligence is reshaping the dental industry—from aut...

AI in NLP: From Word2Vec to Modern Language Models   Hosted by Nathan Rigoni Artificial intelligence has turned the simple act of “reading a document” into a powerful engine for insight—​but how did we get from counting words to building whole knowledge bases? What if you could ask a computer to “find every contract clause that mentions liability” and get an instant, accurate list without scrollin...

Tokenization: The Building Blocks of Natural Language Processing   Hosted by Nathan Rigoni (no guest) In this first half of the NLP mini‑series, Nathan breaks down how computers turn raw text into numbers that machines can manipulate. He explains the evolution from naïve “split‑by‑space” word indexing to modern sub‑word tokenization, shows why tokens are both the engine and the bottleneck of today...