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PODCAST

The Neuron: AI Explained

The Neuron covers the latest AI developments, trends and research, hosted by Grant Harvey and Corey Noles. Digestible, informative and authoritative takes on AI that get you up to speed and help you become an authority in your own circles. Available every Tuesday on all podcasting platforms and YouTube. Subscribe to our newsletter: https://www.theneurondaily.com/subscribe

technology

All Episodes

00:48:32

Diffusion for Text: Why Mercury Could Make LLMs 10x...

The Neuron: AI Explained ·

2026/02/24

Diffusion models changed how we generate images and video—now they’re coming for text.In this episode, we sit down with Stefano Ermon, Stanford computer science professor and founder of Inception Labs, to unpack how diffusion works for language, why it can generate in parallel (instead of token-by-token), and what that means for latency, cost, and real-time AI products.We talk through:The simplest mental model for diffusion: generate a full draft, then refine it by “fixing mistakes”Why today’s

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00:57:29

Can AI Improve Customer Service Without Killing Jobs?...

The Neuron: AI Explained ·

2026/02/20

Customer service is one of the industries most impacted by AI — but what if AI alone isn’t the answer?In this episode of The Neuron Podcast, Grant Harvey and Corey Noles sit down with Matt Price, Founder & CEO of Crescendo, to explore how AI and humans working together can outperform automation alone. After spending 13+ years at Zendesk, Matt is now building an AI-native customer experience platform that automates up to 90% of tickets with 99.8% accuracy — without sacrificing empathy, trust, or

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00:56:04

How Google's Gemini CLI Creator Ships 150 Features a...

The Neuron: AI Explained ·

2026/02/17

Taylor Mullen, Principal Engineer at Google and creator of Gemini CLI, reveals how his team ships 100-150 features and bug fixes every week—using Gemini CLI to build itself. In this first in-depth interview about Gemini CLI's origin story, we explore why command-line AI agents are having a "terminal renaissance," how Taylor manages swarms of parallel AI agents, and the techniques (like the viral "Ralph Wiggum" method) that separate 10x engineers from 100x engineers. Whether

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02:00:20

BONUS: OpenAI Codex Demo, Learn the Absolute Basics...

The Neuron: AI Explained ·

2026/02/13

In this week's live-stream replay, we go live for a 2-hour, hands-on deep dive into GPT-5.1 Codex Max with Alexander Embiricos, product lead for OpenAI Codex. You’ll walk out feeling like an agentic-coding wizard, even if you’re starting from zero. GPT-5.1 Codex Max is OpenAI’s latest frontier agentic coding model. It’s built on an upgraded reasoning backbone and trained to handle real-world software engineering tasks end to end: PRs, refactors, frontend builds, and deep debugging. It can work

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00:55:39

Why Energy-Based Models Could Be the Next Big Shift...

The Neuron: AI Explained ·

2026/02/10

Modern AI has been dominated by one idea: predict the next token. But what if intelligence doesn’t have to work that way?In this episode of The Neuron, we’re joined by Eve Bodnia, Founder and CEO of Logical Intelligence, to explore energy-based models (EBMs)—a radically different approach to AI reasoning that doesn’t rely on language, tokens, or next-word prediction.With a background in theoretical physics and quantum information, Eve explains how EBMs operate over an energy landscape, allowing

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02:40:33

2026 AI Predictions: Who Wins, Who Loses, and What...

The Neuron: AI Explained ·

2026/02/06

AI is moving fast — and 2026 is shaping up to be a turning point.In this livestream, Corey and Grant from The Neuron break down our biggest AI predictions for 2026, including:🏆 Which companies, tools, and model types are most likely to come out on top📉 Who could lose ground (and what’s driving the shift)🎲 The wildcards most people aren’t factoring in yet👀 What to watch across AI policy, agents, open source, and consumer adoption🧠 The skills and strategies that will matter most in 2026Join us

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01:57:11

Inside Google Labs: 3 AI Tools That Will Change How...

The Neuron: AI Explained ·

2026/02/03

In this special episode, we go hands-on with three cutting-edge AI tools from Google Labs. First, Jaclyn Konzelman (Director of Product Management) demos Mixboard, an AI-powered concepting board that transforms ideas into visual presentations using Nano Banana Pro. Then, Thomas Iljic (Senior Director of Product Management) shows us Flow, Google's AI filmmaking tool that lets you create, edit, and animate video clips with unprecedented control. Finally, Megan Li (Senior Product Manager) walks us

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00:56:03

This AI Agent Builds Better Code Than Most Developers...

The Neuron: AI Explained ·

2026/01/27

Autonomous coding agents are moving from demos to real production workflows. In this episode, Factory AI co-founder and CTO Eno Reyes explains what "Droids" really are—fully autonomous agents that can take tickets, modify real codebases, run tests, and work inside existing dev workflows.We dig into Factory's context compression research (which outperformed both OpenAI and Anthropic), what makes a codebase "agent-ready," and why Stanford research found that the ONLY predictor of AI success was

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00:55:16

OpenAI Researcher Explains How AI Hides Its Thinking...

The Neuron: AI Explained ·

2026/01/23

AI reasoning models don’t just give answers — they plan, deliberate, and sometimes try to cheat.In this episode of The Neuron, we’re joined by Bowen Baker, Research Scientist at OpenAI, to explore whether we can monitor AI reasoning before things go wrong — and why that transparency may not last forever.Bowen walks us through real examples of AI reward hacking, explains why monitoring chain-of-thought is often more effective than checking outputs, and introduces the idea of a “monitorability tax” —

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01:00:54

The Hidden Cost of AI Agents No One Talks About

The Neuron: AI Explained ·

2026/01/20

Everyone is rushing to build AI agents — but most companies are setting themselves up for failure.In this episode of The Neuron, Darin Patterson, VP of Market Strategy at Make, explains why agentic AI only works if your automation foundation is solid first. We break down when to use deterministic workflows vs AI agents, how to avoid fragile automation sprawl, and why visibility into your entire automation landscape is now mission-critical.You’ll see real examples of building agents in Make, how

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00:53:08

Why IBM Wants AI to Be Boring

The Neuron: AI Explained ·

2026/01/13

IBM just released Granite 4.0, a new family of open language models designed to be fast, memory-efficient, and enterprise-ready — and it represents a very different philosophy from today’s frontier AI race.In this episode of The Neuron, IBM Research’s David Cox joins us to unpack why IBM treats AI models as tools rather than entities, how hybrid architectures dramatically reduce memory and cost, and why openness, transparency, and external audits matter more than ever for real-world deployment.We

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00:48:50

This AI Grows a Brain During Training (Pathway’s AI...

The Neuron: AI Explained ·

2026/01/06

Imagine an AI that doesn’t just output answers — it remembers, adapts, and reasons over time like a living system. In this episode of The Neuron, Corey Noles and Grant Harvey sit down with Zuzanna Stamirowska, CEO & Cofounder of Pathway, to break down the world’s first post-Transformer frontier model: BDH — the Dragon Hatchling architecture.Zuzanna explains why current language models are stuck in a “Groundhog Day” loop — waking up with no memory — and how Pathway’s architecture introduces true

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00:59:15

Building Mathematical Superintelligence: A Stanford...

The Neuron: AI Explained ·

2025/12/30

Carina Hong dropped out of Stanford's PhD program to build "mathematical superintelligence" — and just raised $64M to do it. In this episode, we explore what that actually means: an AI that doesn't just solve math problems but discovers new theorems, proves them formally, and gets smarter with each iteration. Carina explains how her team solved a 130-year-old problem about Lyapunov functions, disproved a 30-year-old graph theory conjecture, and why math is the secret

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00:40:53

How AI is Reinventing Chemistry (From a Trailer Lab...

The Neuron: AI Explained ·

2025/12/23

Nick Talken started a 3D printing materials company in a trailer lab in his co-founder's backyard, sold it to a 145-year-old German chemical giant, then spun out an AI platform that's now transforming R&D for Fortune 100 companies. Albert Invent's foundational AI model—trained on 15 million molecular structures—is helping scientists at companies like Kenvue (maker of Tylenol, Neutrogena, and Listerine) compress projects from 3 months to 2 days. We dig into how enterprises train

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00:50:43

Your AI Meeting Agents Aren’t Enough: Otter.ai's Sam...

The Neuron: AI Explained ·

2025/12/16

Most enterprise knowledge is trapped in meetings—and then lost forever. Otter.ai CEO Sam Liang explains how his company turned meeting transcription into a $100M+ revenue business by solving a problem most companies don't even realize they have.In this episode, we cover:- Why meetings are your company's most expensive activity (and how to measure ROI on them)- Building a "meeting-centric knowledge base" that captures voice data other systems miss- How Otter organizes enterprise

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00:30:41

The Future of Windows: AI-Native Computing with Pavan...

The Neuron: AI Explained ·

2025/12/03

In this episode, we sit down with Pavan Davuluri, Corporate Vice President of Microsoft's Windows + Devices business, to explore how Windows is evolving into an AI-native platform. Pavan leads the team responsible for strategy, design, and delivery of Windows products across the full stack - from silicon and devices to platform, OS, apps, experiences, security, and cloud. With 23 years at Microsoft, he's driven the creation of the Surface line and now oversees how hardware and software fuse

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01:01:02

The "Android Moment" for AI Infrastructure: Why...

The Neuron: AI Explained ·

2025/11/26

While everyone obsesses over which AI model is smartest, a quiet revolution is happening in the infrastructure layer underneath. Modular just raised $250M at a $1.6B valuation to solve a problem most people don't know exists: AI is locked into expensive, vendor-specific hardware ecosystems. Tim Davis, Co-Founder & President of Modular, joins us to explain why his company is building the "hypervisor for AI"—making it possible to write code once and run it on any GPU, from NVIDIA to

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00:32:01

Inside Microsoft's AI Superfactory with Scott Guthrie

The Neuron: AI Explained ·

2025/11/23

In this episode, we sit down with Scott Guthrie, EVP of Microsoft's Cloud + AI Group, to explore the architecture behind Azure's AI Superfactory. Scott oversees Microsoft's hyperscale cloud computing solutions including Azure, generative AI platforms, and next-generation infrastructure. We dive into Microsoft's strategic approach to AI datacenter buildout, the innovative Fairwater architecture with its 120,000+ fiber miles of AI WAN backbone, and how Microsoft is balancing

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00:50:57

How 48% of Non-Engineers Are Shipping Production...

The Neuron: AI Explained ·

2025/11/17

Retool CEO David Hsu reveals that 48% of non-engineers are now shipping software. We explore how AI is democratizing software development, why engineers might stop coding internal apps within 18-24 months, and what this means for the future of work. David shares insights from Retool's survey of 10,000+ companies, Retool’s new AppGen program, and how "tomorrow's developers" are using AI to build real production applications on enterprise data.Subscribe to The Neuron newsletter:

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00:52:42

Teaching Computers to Smell?! The AI That's...

The Neuron: AI Explained ·

2025/11/07

Computers can see and hear, but they've never been able to smell—until now. In this episode, we sit down with Alex Wiltschko, Founder & CEO of Osmo, to explore how his company is using AI to digitize scent. Alex walks us through how they "teleported" the smell of a fresh plum across their lab, created the world's first AI-designed fragrance molecules, and built Osmo Studio—a platform that lets anyone design custom fragrances in one week instead of two years. We discuss the

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63 results

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