Podcast
The Neuron: AI Explained
Hosted by The Neuron · EN
The Neuron is a daily newsletter with 700,000+ readers that covers the latest AI developments, trends and research; this is our podcast, hosted by Grant Harvey and Corey Noles. We aim to create digestible, informative and authoritative takes on AI that get you up to speed and help you become an authority in your own circles. Available Wednesdays and Sundays on all podcasting platforms and YouTube.
Subscribe to our newsletter: https://www.theneurondaily.com/subscribe
64episodes
Episodes
Newest firstAll episodes
AI Agents Are About to Move Off the Cloud. Here’s What Changes
Yesterday00:54:37Tap to summarizeWhat happens when the most capable AI lives in the cloud, but the work you want it to do is too private, expensive, or repetitive to send there every time?Dr. Olena Zhu, Head of AI Solutions & Ecosystem for Intel’s Client Computing Group, joins Corey Noles and Grant Harvey to explain Intel’s vision for hybrid AI: systems that route each task to the right place, whether that is a local model on a PC, a larger model on an edge server, or a frontier model in the cloud.The conversation explores why cloud-only AI may be difficult to scale, how an orchestration layer decides where work should run, and how Intel’s new SuperClaw beta combines local and remote intelligence. Dr. Zhu also explains how hybrid agents could conduct deep research without exposing confidential data, why routing and auditability matter when agents fail, and why the next wave of useful AI may come from specialized agents built for specific jobs.Listen for a practical look at the tradeoffs among capability, privacy, cost, reliability, and control, and what it could mean when powerful AI agents begin running partly on the computers we already own.Try Intel SuperClaw: https://aibuilder.intel.com/#/superclawIntel AI Builder: https://aibuilder.intel.com/Intel SuperClaw GitHub: https://github.com/intel/intel-ai-builder/tree/main/superclawIntel’s SuperClaw overview: https://newsroom.intel.com/opinion/solving-the-agentic-ai-trilemma-cost-scale-and-data-securitySubscribe to The Neuron for daily AI news and analysis built for humans: https://www.theneurondaily.com/Sponsored by Nerdio: Get a demo of Nerdio Manager for Enterprise today:
Transcribe →BONUS: How to Publish Your AI-Built App to the App Store
6d ago01:08:42Tap to summarizeUpdate! The definitive follow-along walkthrough guide is ready! Check it out here: https://theneuron.ai/explainer-articles/how-to-publish-an-ai-built-iphone-app-to-the-app-store/Building an app with AI is getting easier. Getting it through Apple's doors is still a different adventure.Join Corey Noles and Grant Harvey live on Thursday, July 30 at [10AM PT / 12PM CT / 1PM ET] as they walk through what it actually takes to move an AI-built app from a working prototype into TestFlight and the Apple App Store.In this livestream, we'll cover:📱 Setting up App Store Connect🧪 Preparing your app for TestFlight📝 Creating your App Store listing🖼️ Making screenshots and store assets🔒 Answering Apple's privacy questions🚀 Uploading and submitting your build✅ Navigating Apple's review process⚠️ The mistakes, delays, and confusing steps we ran into💡 What we'd do differently next timeWhether you're using AI coding tools, no-code platforms, or building from scratch, this beginner-friendly walkthrough will help you get your app across the finish line.💬 Bring your questions and click Notify Me so YouTube reminds you when we go live.🔔 Subscribe to The Neuron for practical AI news, tools, tutorials, and conversations that help you understand what matters and what to do with it: https://www.youtube.com/@theneuronai?sub_confirmation=1📰 Read The Neuron Daily:https://www.theneurondaily.com/
Transcribe →AI Can Build It, But Can AI Ship It?
1w ago00:23:33Tap to summarizeAI can now help almost anyone turn an idea into a working prototype. But what happens when that vibe-coded experiment needs to become secure, reliable software that real customers can trust—and pay for?Corey Noles and Grant Harvey speak with Deap Ubhi, Global Director of Technology for Startups at AWS, about AWS Startup Advisor, an AI-powered builder assistant designed to bring AWS architecture, security, cost, deployment, and scaling guidance directly into a founder’s workflow.Deap explains why generative AI has compressed startup iteration cycles from months into days or hours, how nontechnical founders can test ideas before making major technical investments, and why human judgment, product taste, and focus matter even more when building becomes dramatically easier. The conversation also explores the crucial leap from proof of concept to production, including the infrastructure, authentication, resilience, observability, and security decisions that first-time builders may not know to ask about.Listen to hear how Startup Advisor works inside tools including Claude Code, Cursor, Codex, VS Code, and Kiro—and why the next generation of founders may start with an AI coding agent and a virtual AWS solutions architect on their shoulder.For more practical conversations about how AI is changing work, business, and technology, subscribe to The Neuron and The Neuron: AI Explained.https://www.theneurondaily.com/Explore AWS Startup Advisor:https://aws.amazon.com/aws-startups/advisor/Learn more about the launch:https://aws.amazon.com/aws-startups/from-idea-to-revenue-at-startup-speed-with-ai/The Neuron Academy helps professionals build practical AI skills they can use right away, with lessons on prompting, workflows, and real workplace use cases. Check out https://theneuronacademy.com/ today!
Transcribe →BONUS: We Built 15+ Apps With AI. Here’s What Actually Worked
2w ago02:20:41Tap to summarizeJoin Grant Harvey and Corey Noles live on Thursday, July 23, for a show-and-tell featuring the apps, games, extensions, and delightfully specific tools they’ve built with AI, plus tips to help you build your own without burning through as many tokens.Corey will demo:☕ Bean Counter, which tracks how many cups of coffee he has saved🗂️ Tab Crusher, a Chrome extension for conquering tab overload✍️ Threadline, his editorial operating system for writers🎮 Circle Back, a gamified task-management app🍽️ On Deck, which answers Corey’s eternal question: What should I eat next?Getting AI to choose his next meal is Corey’s personal AGI benchmark. Pizza arriving through a voice command remains the final boss.Grant will show:🌊 FlowState, a focused writing app🎛️ Orchestrator, a local command center for managing AI chats through APIs🎬 LTX CineScript, a system that turns a script into an edited film🐿️ Sqwirl World, a RuneScape-style mini MMO starring squirrels🧪 Plus other experiments, prototypes, and tools built to solve very specific problemsThey’ll explain what each project does, how it was made, how they got it live through trial and error, and what they’ve learned over the past year and a half as non-technical builders creating software with AI.Building your own apps is one of the best ways to learn what AI can actually do. Your idea may not become the next breakout product, but it can save you time, solve a persistent headache, and be a lot of fun to create.Whether you want to build an internal tool, automate an annoying task, or finally create the weird app living in your head, this session will show you what is possible.
Transcribe →Will AI Robots Perform Surgery Better Than Humans?
2w ago01:10:16Tap to summarizeAutonomous surgery may sound futuristic, but automation already plays an important role in procedures requiring extraordinary precision. Mathias Unberath of Inner Logic joins Grant Harvey to explain how AI could help surgical robots understand anatomy, respond to unexpected events, and gradually take on more responsibility in the operating room. They explore which procedures could be automated first, how robots can learn to recover from mistakes, and why these systems may expand access to care without eliminating the need for human surgeons.For more information please visit Inner Logic: https://semaphorsurgical.com/innerlogic/ Subscribe to The Neuron newsletter: https://theneuron.aiSponsored by Dell Technologies and NVIDIA. Learn more at https://www.techrepublic.com/hubs/the-enterprise-guide-to-scalable-ai/
Transcribe →BONUS: AI Agents Are Here. Now What?
3w ago02:58:07Tap to summarizeNeuron Live is back and we are going deep on Microsoft’s big move in AI agents. 🤖This week, we’re joined by Bryan Goode, Corporate Vice President of Business Applications Marketing at Microsoft, to unpack Microsoft Agent 365, the new control plane for AI agents.Agent 365 is Microsoft’s answer to a question every company is about to face: how do you actually deploy, manage, and secure AI agents at scale? Think of it as a registry, an access control layer, and a security system for your entire fleet of AI agents, whether you built them in Copilot or brought them in from elsewhere.On the live, we’ll cover how agents work inside the Copilot ecosystem, what Agent 365 actually gives IT teams, and how to think about getting started with agents at your company. 💻👀If we’re lucky, Bryan will walk us through a live demo defining a use case, building an agent in Copilot from scratch, deploying it through Agent 365, and tracking how it performs in real time. If you’ve been wanting to build your first AI agent but didn’t know where to start, this is the one to watch live. Subscribe for weekly AI coverage from The Neuron and more livestreams like this.💌 https://theneuron.ai
Transcribe →Inside the Hidden Geometry of AI
3w ago00:57:36Tap to summarizeWhat if neural networks are less like mysterious black boxes and more like systems we can inspect, debug, and eventually design with intention?In this episode of The Neuron: AI Explained, Corey Noles and Grant Harvey talk with Eric Ho, Cofounder & CEO of Goodfire, an AI interpretability company working to understand what’s happening inside neural networks. Eric explains why models may contain meaningful internal structures — including features, representations, circuits, and curved manifolds — and how mapping those structures could make AI systems safer, more reliable, and more useful.They discuss why models may “think in shapes,” how Goodfire uses AI to interpret other AI systems, what neural geometry can reveal about hallucinations and model behavior, and why interpretability could change how companies train and control their own models.They also get into consciousness, robotics, multimodal models, the bitter lesson, and why Eric thinks more people should be looking under the hood of the most consequential technology of our time.Subscribe to The Neuron for more grounded conversations about how AI actually works: https://www.theneuron.ai/Sponsored by SAS AI Governance: Visit https://www.sas.com/en_us/solutions/ai/governance.html?utm_source=other&utm_medium=cpm&utm_campaign=sas-vpl-gbc-gps-global#The Neuron Academy helps professionals build practical AI skills they can use right away, with lessons on prompting, workflows, and real workplace use cases. Check out https://theneuronacademy.com/ today!
Transcribe →AI That Rides Along With Truck Drivers
3w ago00:41:40Tap to summarizeAI agents are not just coming for laptops, inboxes, and office workflows. Samsara Cofounder and CTO John Bicket says they’re also coming for fleets, drivers, dispatchers, safety teams, and the physical infrastructure that keeps the world moving.Recorded on-site at Samsara Beyond 2026 in Las Vegas, this conversation explores how Samsara is layering AI onto dash cams, telematics devices, asset trackers, vehicle data, and operational workflows. John explains how Agent Studio helps companies build useful AI tools without overwhelming frontline teams, why physical operations create different challenges than software-only environments, and how AI can help turn raw vehicle and safety data into coaching, risk reduction, maintenance insights, and real-time decisions.Corey, Grant, and John also dig into AI ride-alongs, privacy concerns around in-vehicle cameras, why driver safety programs need to be framed around trust instead of surveillance, and what the day-to-day work of dispatchers, drivers, and maintenance leaders could look like three years from now.Subscribe to The Neuron for more practical conversations about how AI is changing real businesses, not just demos.https://www.theneuron.ai/
Transcribe →BONUS: GPT-5.6 Sol Goes Live: Must-Try Use Cases We’re Testing Live
4w ago02:13:45Tap to summarizeJoin Grant Harvey and Corey Noles from The Neuron live on Thursday, July 9 at 10AM PT as we test OpenAI’s new GPT-5.6 model family in real time: Sol, Terra, and Luna.Instead of just reading benchmark charts, we’re going hands-on with the use cases people should actually try first.We’ll test:🛠️ Building a working mini-app from a messy product idea🧹 Refactoring a broken codebase without babysitting it🧠 Using Ultra mode as a project manager with subagents⚙️ Automating one annoying weekly workflow🥊 Testing Sol vs. Terra vs. Luna on the same job🔍 Running the same prompts head-to-head against FableAlso: OpenAI just announced a 10AM PT livestream on July 9 for the next generation of ChatGPT Voice, reportedly featuring an upgraded bidirectional voice model, real-time capabilities, new voice samples, and voice orb colors tied to accent settings.So we’ll also react to what OpenAI shows, explain what “bidirectional voice” actually means for normal users, and test where voice might finally become useful for work instead of feeling like you’re leaving a voicemail for a robot receptionist.By the end, you’ll know what to try first, which model to use for which task, and whether GPT-5.6 or the new ChatGPT Voice actually changes your daily AI workflow.📩 Subscribe to our newsletter: https://www.theneuron.ai
Transcribe →ComfyUI Proves AI Art Is Not Zero Effort
4w ago00:57:54Tap to summarizeMost AI image tools give you a prompt box and a result. ComfyUI gives creators the pipeline underneath - the models, parameters, nodes, and repeatable workflows that can turn visual AI from a toy into production infrastructure.In this episode of The Neuron, Corey Noles and Grant Harvey talk with Yannik Marek, co-founder and original creator of ComfyUI, about why node-based workflows matter, how open-source visual AI is moving into real creative production, and what teams gain when they can inspect, modify, and repeat every step of generation.They cover how diffusion models work in plain English, why Comfy is useful for VFX, gaming, animation, e-commerce, and creative studios, and how Comfy balances open-source values with Cloud, API, and Enterprise products. Yannik also shares practical hardware advice for running models locally, where open models are catching up fastest, and why the future of creative AI may depend less on a universal prompt box and more on visible, controllable workflows.Try ComfyUI at comfy.org, and subscribe to The Neuron for more grounded conversations about AI in practice.https://www.theneuron.ai/The Neuron Academy helps professionals build practical AI skills they can use right away, with lessons on prompting, workflows, and real workplace use cases. Check out theneuronacademy.com today!
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