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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

00:56:07

He Got 1 Million Followers in 30 Days—Here's How AI...

The Neuron: AI Explained ·

2026/04/12

Brandon Baum — better known as heybrandonb to his 25M+ followers — built a YouTube empire making cinematic, effects-heavy videos that look like they cost millions but were born in a bedroom during COVID. In this episode, we get into how he went from 2 views to a million followers in a month, why he shoots everything on iPhones with a custom 3D-printed dual-phone rig, how AI tools like Firefly Boards have replaced his Post-it Note wall, and why he thinks the atmosphere is "ripe for change"

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01:59:18

BONUS: We Built an App Live in 10 Minutes with AI...

The Neuron: AI Explained ·

2026/04/10

Let’s build with v0 in real time. We’re going LIVE with Tom Occhino, Chief Product Officer at Vercel, to explore vibe coding and take a hands-on look at v0, Vercel’s AI-powered development platform for building apps faster. We’ll show v0 live and walk through how it turns a simple prompt into a real, shippable interface. Tom will also explain what “vibe coding” actually looks like in practice, including how teams are using it today and where it fits into modern development workflows. What we’ll

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00:46:49

This DeepMind Vet Raised $2B to Open-Source Frontier AI

The Neuron: AI Explained ·

2026/04/08

A team of former Google DeepMind researchers just raised $2B to build America's answer to DeepSeek. In this episode, we sit down with Ioannis Antonoglou (Yannis), co-founder and CTO of Reflection AI, who helped create AlphaGo—the AI that beat the world champion in the game of Go back in 2016. Yannis breaks down what Reflection is building, why they're releasing frontier-level AI models as open-weight, and how mixture-of-experts architecture lets massive models run efficiently. We dig into

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02:23:23

BONUS: How We Would Teach AI From Scratch in 2026

The Neuron: AI Explained ·

2026/04/03

This video is a re-upload from our livestream on YouTube. Most people are still using ChatGPT the way they used Google in 2005: type a question, get an answer, close the tab.In 2026, that’s like owning a professional kitchen and only using the microwave.In this episode, Grant and Corey walk through The Neuron’s 5-Level AI Proficiency Stack — a framework for going from “I use ChatGPT sometimes” to “AI saves me 10 hours a week.”No coding required. No hype. Just the actual progression that separates

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00:49:27

Google's Secret Robotics Play That Nobody's Talking...

The Neuron: AI Explained ·

2026/04/01

Brian Gerkey is the CTO of Intrinsic, the robotics software company that started inside Alphabet and now sits inside Google, working directly with DeepMind and Gemini. Brian co-created ROS (Robot Operating System), the open-source platform used by over 1 million developers that powers everything from factory robots to NASA's Astrobee on the International Space Station. In this episode, Grant talks with Brian about "physical AI" — what happens when AI leaves the screen and starts

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01:11:00

The Hidden Industry That Controls The Tech Your...

The Neuron: AI Explained ·

2026/03/30

Most businesses don't buy their AI services directly from OpenAI or Google—they buy it through a massive, invisible distribution network called "the channel." Victoria Durgin and Katie Bavoso of Channel Insider join Corey and Grant to explain how this hidden industry works, why AI is shaking it up unlike anything before, and what it means for businesses trying to adopt AI in 2026.Subscribe to The Neuron newsletter: https://theneuron.aiChannel Insider: https://channelinsider.com

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01:38:03

How to Be "Agent Native" in 2026 w/ Every CEO Dan...

The Neuron: AI Explained ·

2026/03/27

In this episode of The Neuron Podcast, Corey Noles and Grant Harvey sit down with Dan Shipper, CEO of Every, to talk about agent-native engineering—the framework his team uses to build and ship AI-powered products at a pace most companies can't match.Dan walks us through what happened when his AI document editor Proof went viral (and then went down), why he believes the way we build software is fundamentally changing, and how Every's small team manages to ship and maintain an entire suite of

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01:02:21

Inside the Secret Labs Where AI Learns to Work

The Neuron: AI Explained ·

2026/03/25

Nick Heiner leads RL environment development at Surge AI, the bootstrapped company that hit $1.2B in revenue training models for OpenAI, Anthropic, Meta, and Google. In this episode, we break down reinforcement learning environments—the secret training grounds where AI agents learn to actually do work. Nick shares why even the best models fail 40% of real workplace tasks, what happened when 200 Wall Street experts graded GPT-5 and Claude, and his prediction that a $1B company with one human employee

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01:40:48

The Privacy Nightmare Hiding Inside Every AI Chat

The Neuron: AI Explained ·

2026/03/22

Proton—the company behind the world's largest encrypted email service with 100M+ users—just launched Lumo, a privacy-first AI assistant. We sit down with Eamonn Maguire, who leads Proton's ML team and built Lumo from the ground up. Eamonn has a PhD from Oxford and a postdoc at CERN, and he breaks down how Lumo's encryption actually works, why Big Tech's business model prevents them from building private AI, the real privacy threats hiding inside viral AI trends like Ghibli-fication,

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00:49:02

Carta’s CMO Reveals What’s Really Happening to Startups

The Neuron: AI Explained ·

2026/03/20

Carta CMO Nicole Baer joins Corey and Grant to break down the real state of startups in 2026. With half of all venture funding now flowing to AI-native companies and seed deals at a six-year low, the startup playbook has fundamentally changed. Nicole shares Carta’s data on solo founders, the new billion-dollar timeline, why the Bay Area’s grip is tighter than ever, and how AI is reshaping everything from marketing to fund administration.Carta State of Startups 2025 Report:

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00:22:49

Kari Briski at GTC 2026: The Future of NVIDIA AI &...

The Neuron: AI Explained ·

2026/03/19

Recorded live at NVIDIA GTC 2026 in San Jose, Corey sits down with returning guest Kari Briski—VP of Generative AI Software for Enterprise at NVIDIA—to unpack their biggest open-source model yet: Nemotron 3 Super. Kari breaks down why a 120B-parameter model runs as fast as a 12B one, how multi-agent systems are going from science fiction to production, and why Jensen Huang is calling this "a new operating system." We also dig into NVIDIA's work on Open Claw security, the 35x explosion

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00:47:28

The AI Agent That Compressed 8 Years of R&D Into 2 Weeks

The Neuron: AI Explained ·

2026/03/15

Scientific discovery has always been slow. Until now.In this episode, we sit down with Dr. Qichao Hu, CEO of SES AI, to reveal how they are using AI agents to turn a 8-year research cycle into a 2-week sprint. By combining autonomous "wet labs" with advanced AI models, they are solving one of the hardest physics problems in tech: the battery bottleneck.We dive deep into how this "Molecular Universe" project isn't just about EV batteries—it's about unlocking power for data

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01:02:10

AI Just Democratized Filmmaking (w/ LTX Co-Founder)

The Neuron: AI Explained ·

2026/03/12

In this episode, we sit down with Yaron Inger, co-founder of Lightricks and LTX, to explore the future of open-source AI video.LTX-2 is currently the #1 ranked open-source audio & video model on Hugging Face — with over 4.5 million downloads in just two months.But what makes it different?It runs locally.It can be fine-tuned on your own IP.It integrates into real video workflows.And it might change how filmmaking, education, and creative work evolve in the AI era.We talk about:• Why open models

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00:55:06

24 Billion AI Uses Later: What Canva Learned About...

The Neuron: AI Explained ·

2026/03/10

You've probably used Canva—but you probably haven't seen what it can do with AI. In this episode of The Neuron, we sit down with Danny Wu, Head of AI Products at Canva, to explore how the platform went from a simple design tool to a full-blown "Creative Operating System" powered by AI—serving 230+ million users every month.Danny walks us through how Canva's MCP server lets you create fully editable designs from inside ChatGPT, Claude, and Microsoft Copilot, why their new Canva

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02:00:37

BONUS: GPT 5.4 LIVE Test & Learn to Code in 2026:...

The Neuron: AI Explained ·

2026/03/06

Ryan Carson taught over 1,000,000 people how to code at Treehouse and spent 25% of his entire life doing it. Now he says everything about that process needs to change.In this livestream, Ryan joins Corey Noles and Grant Harvey to rethink programming education from scratch. When AI agents can write production code, pass competitive coding challenges, and ship features while you sleep.We'll cover:🧠 What’s still fundamental when agents handle the syntax🔄 Where beginners should start in 2026 (it’s not

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01:03:59

AI Is Helping Build the Power Source It Desperately...

The Neuron: AI Explained ·

2026/03/03

AI data centers are going to double their power consumption by 2030—so where's all that energy coming from? One answer is fusion, the same process that powers the sun.In this episode of The Neuron, we're joined by Brandon Sorbom, Chief Science Officer and Co-founder of Commonwealth Fusion Systems, to explore how his company is racing to build the world's first commercial fusion power plant—and how AI is helping them get there faster.Brandon explains why fusion has been "30 years away" for decades,

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01:59:28

Gemini 3 Flash (Smartest, Cheapest AI) with Google...

The Neuron: AI Explained ·

2026/02/27

Google just dropped Gemini 3 Flash—a model that outperforms Gemini 2.5 Pro (their last top model) while running 3x faster at less than 1/4 the cost. It's frontier-level reasoning at Flash-level speed, and it's rolling out globally right now.We're sitting down with Logan Kilpatrick from Google DeepMind to explore what this actually means for developers, knowledge workers, and anyone trying to figure out how AI fits into their workflow.What we'll cover:🔥 Live demos – Logan will show

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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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80 results

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