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
Update! 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 time Whether 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/
AI 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!
Join 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 problems They’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.
Autonomous 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.ai Sponsored by Dell Technologies and NVIDIA. Learn more at https://www.techrepublic.com/hubs/the-enterprise-guide-to-scalable-ai/
Neuron 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
What 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!
AI 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/
Join 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 Fable Also: 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
Most 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!
This week on The Neuron: AI Explained, Grant and Corey break down the strangest week in frontier AI so far: Fable 5 relaunching and getting yanked almost immediately, OpenAI’s GPT-5.6 rollout arriving in a weird half-launch state, and the bigger question underneath all of it. What happens when governments can slow, restrict, or pause the most powerful AI systems right as the economy starts depending on them? We’ll get into why these false starts matter beyond Silicon Valley drama. If U.S. labs keep getting caught between safety fears, export controls, and uneven release rules, China may get more room to catch up through open-source models, faster iteration, and fewer distribution bottlenecks. Meanwhile, businesses betting on AI have to plan for a world where the “best model” might disappear, degrade, get delayed, or become unavailable to half their stack overnight. So this episode is our guide to navigating the current AI chop: Why Fable 5’s relaunch and takedown became a warning shotWhat GPT-5.6’s limited launch says about frontier model accessHow restrictions could reshape the U.S. vs. China AI raceWhy every company needs an open-source backup strategyHow AI uncertainty could ripple into the broader economyWhat we’d do now as builders, buyers, workers, and AI-curious professionals Join us for a strategic read on what’s changing, what’s fragile, and how to make smarter decisions while the AI ocean gets weird.
OpenAI and Thrive Holdings built Tax AI, a Codex-powered agent that helps prepare complex tax returns while preserving evidence for accountant review. In this episode, Corey and Grant talk with OpenAI’s John de Wasseige and Arthur Fernandes Araujo about how expert corrections become structured signals, how Codex turns repeated failures into evals and scoped engineering tasks, and why the best AI deployments still need humans close to the work. They also dig into what this pattern could mean for bookkeeping, audits, IT help desks, and other expert workflows where the system can measure what “right” looks like. Relevant links: OpenAI Tax AI case study: https://openai.com/index/building-self-improving-tax-agents-with-codex/ OpenAI Codex: https://openai.com/codex/ Harness engineering: https://openai.com/index/harness-engineering/ Thrive Holdings: https://www.thriveholdings.com/ Crete: https://www.cretepa.com/ Subscribe to The Neuron newsletter: https://theneuron.ai
Humanoid robotics challenges go beyond movement and servo motors. The hardest problems are often AI problems. Bringing intelligence into the physical world means dealing with gravity, friction, uncertainty, and real consequences. Mistakes can break hardware. This week on Neuron Live, we’re joined by Nikita Rudin, Co-founder and CEO of Flexion Robotics, to unpack what it actually takes to build intelligence for humanoid systems. What we’ll cover: 🤖 Training control policies and perception models 🧪 Bridging simulation and the real world (sim-to-real) 🛠️ Robotics training pipelines and the embodied AI stack 🔮 Where humanoid and physical AI is headed next If large language models are the brain in the cloud, what does intelligence look like when it has to walk, grasp, and not fall over? Expect a deep dive into embodied AI, physical AI, and the systems powering the next generation of humanoid robots.
Larry Meadows, Head of Product Strategy & Evangelism for HP's Workforce Experience Platform (WXP), joins us to break down how HP is using AI to predict and prevent IT problems before employees ever notice them. We get a live demo of the platform—from AI-powered software recommendations across 50M+ devices to automated remediation in 3–4 clicks—and dig into the global memory crisis, shadow AI risks, and why IT leaders are drowning in portals. Whether you manage a fleet of 50 devices or 50,000, this one's worth your time. HP WXP: https://www.hp.com/wxp The Neuron newsletter: https://theneuron.ai
Confused by AI Skills, Projects, Gems, Custom GPTs, and Agents? You're not alone. It's important to separate which is best for which use-case, because each has a place depending on what you're trying to get done. In this beginner-friendly live episode, we break down what these AI terms actually mean, who creates them, and when everyday users should use each one. Think of this as your plain-English map to the new AI assistant world: ✅ Projects = places to organize ongoing work ✅ Gems & Custom GPTs = reusable custom assistants ✅ Skills = reusable instructions and workflows ✅ Agents = AI systems that can take actions on your behalf By the end of this live session, you'll understand the practical difference between creating a custom assistant, organizing work in a project, giving AI a repeatable skill, and letting an agent complete tasks for you. What You'll Learn: 🔹 What an AI Skill is 🔹 What an AI Project is 🔹 What Google Gemini Gems are 🔹 What Custom GPTs are 🔹 What AI Agents are 🔹 Which one beginners should start with 🔹 The simple framework for choosing the right tool for your workflow Get beginner-friendly AI explainers, practical tutorials, and daily updates on what matters in AI. 📩 Subscribe to our newsletter: https://www.theneuron.ai
AI can write code, pass exams, and summarize the web, but ask it to reason through a real-world image, and the magic often breaks. Andrew Dai, co-founder and CEO of Elorian, joins The Neuron to explain why visual reasoning may be one of the biggest unsolved problems in AI. Andrew spent years at Google Brain and DeepMind, including work connected to Gemini and sparse mixture-of-experts systems. Now, he’s building Elorian around a simple but powerful idea: if AI is going to understand the physical world, it needs more than text-based reasoning layered on top of images. In this episode, Corey and Grant talk with Andrew about why frontier models struggle with counting, navigation, design, engineering, charts, and physical reasoning; why scaling language models hasn’t solved vision; what a “visual chain of thought” might look like; and how better visual reasoning could accelerate robotics, satellite analysis, product design, and mechanical engineering. Sponsored by Dell Technologies and NVIDIA. Learn more at techrepublic.com/hubs/the-enterprise-guide-to-scalable-ai/. Sponsored by Outshift: Visit https://outshift.cisco.com/?utm_campaign=fy26q3_outshift_ww_paid-media_ioc-neuronai-outshift_podcast&utm_channel=podcast&utm_source=podcast to learn more about the Internet of Cognition. Subscribe to The Neuron for more conversations with the people building the future of AI.
Live from Microsoft Build, Corey Noles sits down with Scott Hanselman for a hands-on Neuron LIVE episode about AI-augmented software development, how it differs from just "vibe coding", and the surprisingly practical things people can now build with tools like GitHub Copilot and more. Scott is one of the best technical explainers in software: a longtime Microsoft and GitHub developer, teacher, speaker, author, blogger, and podcaster who has helped millions of developers understand new technology without making it feel impossible to learn. This episode turned into a live demo tour of what AI coding can already do, led by Scott's own use-cases. Corey and Scott walked through a series of examples showing how AI can help people build useful apps, prototypes, workflows, and small tools from everyday ideas, including Scott's own vibe-coded tools Baby Smash (https://www.babysmash.com/), which lets babies press random buttons for fun shapes and sounds, and Tiny Tool Town (https://www.tinytooltown.com/), which showcases random, cool tools Scott found around the web. But in the coolest demo of all, Scott shows how to take an open source tool and create software a personal blood sugar tracking app for his own diabetes management. If that doesn't get your idea blood flowing for what you can do with AI, we don't know what will! https://www.theneuron.ai/
In this episode of The Neuron , Corey Noles sits down with Mustafa Suleyman, CEO of Microsoft AI, at Microsoft Build 2026 to unpack Microsoft’s next AI chapter: seven new MAI models, a push toward in-house model development, and the idea of Humanist Superintelligence. Mustafa explains how Microsoft is thinking about AI that can reason, code, generate images, transcribe speech, and power real products—without turning the future into a vague AGI race. The conversation gets into what “humanist” means in practice, why Microsoft is building models from the ground up, how AI agents may reshape work, and what it takes to keep increasingly capable systems useful, controlled, and aligned with human goals. You’ll learn why Microsoft is investing in its own model family, how MAI-Thinking-1 and MAI-Code-1-Flash fit into the stack, why Suleyman frames superintelligence around human control, and what builders and operators should watch as agents move into real workflows. Sponsored by BeyondTrust Check it out at: https://www.beyondtrust.com/products/identity-security-insights/assessment?campid=701Vw00000drII6IAM Subscribe to The Neuron for practical AI conversations with the people building what comes next.
Everyone is talking about Mercury-alpha, the mystery model that many believe could be GPT-5.6. In this live discussion, we're separating fact from speculation and unpacking what would actually matter if OpenAI releases a new flagship model this week. We'll cover: 🔹 What Mercury-alpha is (and why people think it's GPT-5.6) 🔹 The biggest rumors and evidence so far 🔹 What a new OpenAI model would need to deliver to move the industry forward 🔹 How Mercury-alpha fits into the broader AI agent race 🔹 Codex, Hermes Desktop, and the rise of coding and desktop agents 🔹 What all of this means for AI users, builders, and businesses Join us live, bring your questions, and help us figure out whether Mercury-alpha is the next major leap in AI or just another chapter in the internet's favorite pastime: model-name archaeology. 👇 Drop your predictions in the chat:What do you think Mercury-alpha actually is? 📩 Subscribe to The Neuron for daily AI insights: https://www.theneurondaily.com/
How do you prove there’s a real human on the other side of the screen when AI can generate faces, IDs, accounts, agents, and entire swarms of bots? Tiago Sada, Chief Product Officer at Tools for Humanity, joins The Neuron to explain why proof of human may become one of the internet’s most important trust layers. Tools for Humanity is building the technology behind World and World ID, a system designed to verify that someone is a real, unique person without requiring them to reveal their identity across the web. Tiago breaks down why CAPTCHAs, phone numbers, KYC, and AI-detection systems are starting to fail; how World ID uses in-person verification, cryptography, and zero-knowledge proofs; and why the future internet may need to distinguish between humans, bots, and agents acting on behalf of humans. We also discuss concert ticket scalping, Tinder verification, Zoom deepfake protection, enterprise fraud, gaming bots, and why AI agents may need a kind of digital “power of attorney.” Subscribe to The Neuron for clear, practical conversations about AI and the future of technology: https://www.theneuron.ai/ This episode is sponsored by Guru. https://www.getguru.com/?utm_source=theneuron&utm_medium=podcast&utm_campaign=silver-bundle-june2026
AI agents and automation sound complex, but they’re really about one simple idea: helping you spend less time on repetitive work and more time on the things that need your judgment. In this beginner-friendly Neuron Live, we’ll break down what AI agents are, how automation actually works, and how to start using both without getting overwhelmed. You’ll learn: 🤖 How AI agents are different from regular chatbots ⚙️ What actually happens inside an automation workflow 🧰 Where tools like ChatGPT, Claude, Make, ClickUp, and other AI assistants fit in 💼 Practical ways to use AI at work and in everyday life 🔁 How to spot tasks that are worth automating ⚠️ Common mistakes beginners make with AI workflows ✅ How to decide what should stay human and what AI can help with No coding experience required. No jargon. Just a clear, practical conversation about how to make AI more useful, more responsible, and less intimidating. Join us live, bring your questions, and leave with a better understanding of how to make AI do more than just answer prompts. Subscribe to our newsletter: https://www.theneuron.ai/
