Skip to content
Sign in
Artwork for The Neuron: AI Explained
Technology

The Neuron: AI Explained

The Neuron

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

Play
Open in
  • 32 episodes
  • Avg 1 hr 18 min
  • English

Episodes 32

NewestOldestLongest
All20Unplayed20In progress0Played0
Counted on this page — what you have heard stays on this device, so it is not something the list can be paged by.
  • Yesterday · 1 hr 58 min

    BONUS: A Beginner’s Guide to GitHub, LIVE with Cassidy Williams

    UPDATE: Blog version here https://theneuron.ai/explainer-articles/github-for-beginners-how-to-use-it-with-ai-coding-agents/ GitHub can feel intimidating if you didn’t come up as a developer, especially now that AI coding agents can build software before you’ve learned what a repo, branch, or pull request even is. That’s why The Neuron is going LIVE with Cassidy Williams from GitHub for a beginner-friendly walkthrough of how GitHub actually works. 📅 Thursday, September 10 ⏰ 12 PM CT / 10 AM PT / 1 PM ET What we’ll cover: - What GitHub is and why you’d use it - How to create an account and navigate GitHub - Repos, pushing, pulling, merging, cloning, and forking - How to connect AI coding agents to GitHub - How to safely push and merge code - How to work on multiple features using worktrees - Best practices for keeping projects private and organized - GitHub Actions, key management, deployment, and more The goal: Take you from “AI built me an app, now what?” to actually understanding how to manage, collaborate on, and safely ship your code with GitHub. Cassidy will lead the walkthrough, while The Neuron’s Grant Harvey and Corey Noles jump in with beginner questions and audience Q&A throughout. 🔔 Hit Notify Me so you don’t miss it, and bring your GitHub questions. We’ll be answering them live.

  • S1 · E74
    Wednesday · 1 hr 5 min

    GPT-6 Astra One-Shot Demos

    Corey and Grant put GPT-6 Astra through six identical one-shot build tests to see what it can create with almost no follow-up instruction. The episode covers an interactive black hole lab, a Blender scene, a physics game, a photo-to-sci-fi-world reconstruction, a mechanical sound diagnostic prototype, and the latest version of Cat Doom. The biggest through-line is how much capability now comes out of a single prompt, while the remaining weaknesses show up in taste, UI restraint, game balancing, and reliability. The episode ends by looking at how far Cat Doom has progressed across models over the past year. Sponsored by Dell Technologies and NVIDIA. Learn more at https://www.techrepublic.com/hubs/the-enterprise-guide-to-scalable-ai/ Subscribe to The Neuron newsletter: https://theneuron.ai

  • September 11 · 1 hr 35 min

    BONUS: Apple’s AI Era Starts Now? Meta’s Free AI Agent + OpenAI’s $1M Math Fight

    We’re going LIVE after Apple’s biggest event of the year to break down John Ternus’s first major keynote as CEO and the big question: Is Apple finally entering its AI era? We’ll unpack what Apple revealed around Siri, Apple Intelligence, and its broader AI strategy, plus what feels different under Ternus. Then, we’re breaking down a packed day of AI news: 🍎 Apple’s AI era: What the announcements tell us about Apple’s AI strategy. 🧮 OpenAI’s $1M math fight: OpenAI says a massive AI effort made progress on Navier-Stokes, one of mathematics’ Millennium Prize Problems, followed by a fight over credit. 🤖 Meta Muse: Meta launched its personal AI agent with a huge free usage tier. ⚠️ Anthropic’s AI-risk estimate: One Anthropic scientist put the chance of AI causing human extinction above 10. 🔐 Microsoft security: Microsoft patched a record 972 vulnerabilities, including 112 rated critical. 🇺🇸 U.S. vs. Chinese AI labs: U.S. agencies warned that Chinese companies are distilling Western AI systems at an industrial scale. 🎮 Plus, Sam Altman is apparently very excited about an Ocarina of Time remake. Apple event:https://www.apple.com/apple-events/ OpenAI’s Navier-Stokes claim:https://www.theneuron.ai/news/inside-openais-navierstokes-claim-the-proof-the-ai-effort-and-the-credit-fight/ Meta Muse:https://about.fb.com/news/2026/09/introducing-muse-personal-ai-agent/ Get started with Muse:https://www.theneuron.ai/explainer-articles/how-to-get-started-with-meta-muse/ Microsoft security:https://arstechnica.com/security/2026/09/microsoft-patches-a-record-972-vulnerabilities-112-of-them-critical/ The Neuron:https://www.theneuron.ai/ Subscribe for practical, skeptical, and occasionally unhinged coverage of the AI news that actually matters.

  • S1 · E73
    September 9 · 1 hr 34 min

    OpenAI Astra, Local AI, and the Hardware Race

    What happens when AI models get powerful enough that the bottleneck stops being the model, and starts becoming the computer, the power grid, or the safeguards around it? Corey Noles and Grant Harvey break down a packed week in AI, starting with OpenAI’s expected Astra model and the controversy around recurrent-depth reasoning, chain-of-thought monitoring, and critical cybersecurity capabilities. They also dig into Google’s Gemini 3.8 Flash and Flash Cyber, and why benchmark charts increasingly matter less than what a model can actually do in real work. Then the conversation moves from models to machines: a $399 open-source robot duck, Dyson’s wildly overengineered CameraJet toothbrush, the return of the CPU as AI agents increasingly operate computers directly, and Apple’s increasingly data-center-like Mac Studio hardware for local AI workloads. Finally, Corey and Grant unpack the fight over AI data centers in Texas, what communities should demand in exchange for hosting them, and why ChatGPT’s advertising business may become a major new piece of OpenAI’s economics. Subscribe to The Neuron at theneuron.ai for a daily briefing on the AI stories that actually matter. The Neuron: https://www.theneuron.ai/ The Neuron Academy: https://www.neuronacademy.com/

  • September 4 · 1 hr

    BONUS: Claude Fable 5.1 LIVE: Testing Anthropic’s New AI Agent

    Anthropic just released Claude Fable 5.1, its newest frontier model for long-running coding, research, and agentic work. So naturally, we’re putting it to the test LIVE. 🤖 Early testing suggests Fable 5.1 is faster, easier to work with, and capable of handling massive coding projects, long-form writing, and autonomous agent tasks more efficiently. Every even found that it used less than half as many tokens as Opus 5 in one internal test. But it has some quirks too. It can blow past word counts, create unnecessary subagents, and occasionally keep working when you tell it to stop. Today, Grant and Corey from The Neuron are testing those claims for themselves. We’re putting Fable 5.1 through: 🧠 Complex research and knowledge work 💻 Coding and long-running agent workflows ✍️ Writing, editing, and instruction following 🤖 Autonomous tasks where Claude runs on its own 🛑 Constraint, budget, and STOP tests 🆚 Whatever else the live chat wants us to try Anthropic also cut cached-input pricing by 75%, potentially making long-running Claude agents significantly cheaper to operate. Can Fable 5.1 actually become the model you hand a giant task and walk away from? Let’s find out live. UPDATE: Our write-up on this livestream, with time-stamps: https://theneuron.ai/news/claude-fable-5-1-can-do-the-work-the-hard-part-is-managing-it/ 🔗 Anthropic announcement:https://www.anthropic.com/claude-fable-and-mythos-5-1 🔗 Every’s Fable 5.1 Vibe Check:https://every.to/vibe-check/fable-5-1-vibe-check 📩 Subscribe to The Neuron for AI news, tools, and practical experiments without the hype:https://theneuron.ai/

  • S1 · E72
    August 28 · 54 min

    Where Does AI Agent Security Actually Live?

    AI companies spend enormous effort making models safer, but the model tested in the lab isn't necessarily the system a company eventually deploys. Alice CEO and co-founder Noam Schwartz joins Corey and Grant to explain why prompts, tools, memory, permissions, data, and agent-to-agent interactions create an entirely new security surface. They dig into the growing “trust gap” around enterprise AI, why prompt injection may become a permanent cat-and-mouse game, what open-weight models change for defenders, and why Schwartz believes the real security boundary has to exist at every layer of an AI system. The bigger takeaway: as AI moves from answering questions to taking actions, traditional cybersecurity may need to merge with fraud prevention, threat intelligence, and trust and safety. OpenAI security incident: https://openai.com/index/hugging-face-model-evaluation-security-incident/ Alice: https://alice.io/ Alice on agentic AI security: https://alice.io/blog/key-security-risks-posed-by-agentic-ai-and-how-to-mitigate-them Alice open-weight research: https://alice.io/blog/okay-here-is-how-to-build-a-bomb-millions-download-dangerous-llms 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/

  • August 21 · 1 hr 51 min

    BONUS: AI Tool Roundup: What’s Actually Worth Trying?

    AI tools are shipping faster than most normal humans can figure out what half of them actually do. So Thursday, August 20 at 10 AM PT / 1 PM ET, we’re going LIVE to translate this week’s biggest AI launches into plain English. 😸 The goal: understand what these tools actually are, who they’re for, what’s useful vs. hype, and which ones are worth trying. No three developers yelling model benchmarks at each other for an hour. Instead, we’re covering: 🤖 Qwen 3.8: What a powerful open model is, why you might use one instead of ChatGPT or Claude, and when that makes sense. 💻 Unsloth Studio: Run and experiment with AI models on your own computer, even if you’ve never touched a terminal. ⌨️ Cursor Origin: Cursor wants to host your code too. Here’s what that could mean for people building websites, apps, and internal tools with AI. 🛠️ DeepSeek Harness: What an “agent harness” is, why everyone keeps talking about them, and whether they matter outside hardcore coding circles. 💬 Buzz: Imagine Slack or Discord, except AI agents can join the workspace, collaborate with humans, and do work. 🐦 Berd: One desktop home for your AI agents, projects, skills, tools, and models. You can also give your agents little animated bodies. Please emotionally prepare yourself. Plus, we’ll cover the other notable models and tools that dropped this week. And if OpenAI drops Astra before we go live? We’ll cover that too. If it’s incredible, great. If it belongs in the “cool, another model” bucket, that’s part of the roundup too. 📅 August 20 @ 10AM PT / 1PM ET Bring your questions. No PhD required. 😸 TOOLS / LINKS: Qwen 3.8: https://qwen.ai/blog?id=qwen3.8 Unsloth: https://unsloth.ai/ Cursor: https://cursor.com/changelog/origin-code-hosting DeepSeek: https://github.com/deepseek-ai/deepseek-harness Buzz: https://buzz.xyz/ Berd: https://berd.xyz/ OpenAI: https://openai.com/index/pacing-model-development-cyber-capabilities/

  • S1 · E71
    August 19 · 45 min

    This AI model will run the economy in 2030 w/ Alexandre Pasquiou

    AI can write code, summarize documents, and hold a conversation. But it still struggles with the structured data businesses rely on to predict churn, fraud, demand, pricing, and risk. Alexandre Pasquiou explains why language models flatten the relationships inside spreadsheets, how tabular foundation models learn from rows and columns, and why Neuralk believes one general model could replace hundreds of custom predictive systems. The conversation also covers Seldon, AI agents, enterprise adoption, and Alexandre’s prediction that tabular foundation models will power every predictive workload by 2030. Learn more about Neuralk: https://www.neuralk.ai/ Subscribe to The Neuron newsletter: https://theneuron.ai

  • August 14 · 58 min

    BONUS: Learn Video Prompting for TOTAL Beginners w/ NEW LTX-2.5 + LTX Team

    Want to make better AI videos but have absolutely no idea what you’re doing? Perfect. Neither did most of us at first. 😹 Join The Neuron LIVE this Thursday at 10 AM PT for a total beginner’s guide to AI video generation and video prompting, featuring the team behind the newly announced LTX-2.5. We’re going hands-on with the new model while learning the fundamentals of actually prompting video models effectively. What we’ll cover: 🎬 How video prompting is different from image prompting ✍️ How to write your first good AI video prompt 🎥 How to control shots, motion, subjects, and scenes 🧠 What video models actually understand when you describe a scene 🛠️ A live demo of the brand-new LTX-2.5 ❓ Live Q&A with members of the LTX team No previous AI video experience required. If you can describe the video you want to make, we’ll show you how to turn that idea into a much better prompt. And because this is live, bring your weird prompts, difficult questions, and video ideas. We’ll put the model through its paces together. 📅 Thursday, August 13 ⏰ 10 AM PT Learn more about LTX-2.5 🔗 Explore LTX-2.5: https://ltx.io/model/ltx-2-5 📰 Read the announcement: http://ltx.io/newsroom/introducing-ltx-2-5 🤗 LTX-2.5 on Hugging Face: https://huggingface.co/Lightricks/LTX-2.5

  • August 12 · 51 min

    AI Can Now Write DNA. What Does This Promise, And What Could Go Wrong? With Eric Nguyen, co-founder and CEO of Radical Numerics

    AI can now read DNA like language, generate working biological sequences, and help scientists identify disease-related mutations. Radical Numerics CEO Eric Nguyen explains how genome language models work, why his earlier model Evo helped scientists design CRISPR systems and bacteriophage genomes, and how the company’s newer model, Omnii, combines DNA with RNA, proteins, and other biological signals. The conversation explores personalized medicine, gene therapy, AI-designed biological threats, “deepfake viruses,” and whether the same technology that creates new biology can also defend against it. Learn more about Radical Numerics: https://www.radicalnumerics.ai/

  • August 7 · 1 hr 59 min

    BONUS: How to Use AI Agents for Total Beginners: A Crash Course w/ Agent Builder James McAulay

    This is the #1 request we get every week: how to actually use agents to save time in your business. We’re bringing in James McAulay, founder of The Agent Accelerator, for a practical crash course on what AI agents are, how they work, and how beginners can start using them to get real work done. James has spent the past year building at the front lines of the agent economy. After helping ElevenLabs grow from $110M to more than $300M in annual recurring revenue, he launched a fully AI-native business that reached $80K in monthly revenue by its third month and recorded its first $200K+ month by month five. He did it without a single employee or a dollar spent on paid ads. Instead, James delegates work to multiple AI agents every day. Through The Agent Accelerator, James now teaches founders, CEOs, and their teams how to become AI-native. The program has trained more than 400 people across 100 companies, including startups, 200-person organizations, and the UK Government. Participants report automating an average of five hours of manual work every week after four weeks. In our session, James is going to teach: EVERYTHING you need to build helpful, proactive agents in Claude Cowork/Code He'll walk through the following concepts: • Quick primer on agent foundations: how do we move from prompting a chatbot to delegating Agentic work • Starting your second brain: the key files that make the biggest difference • Tips & tricks for optimizing Claude's behavior with CLAUDE.md • Skills - where to find good ones - how to create great ones • And his 4-level framework for proactive agents that work without being prompted in Cowork and Code Format will be a blend of James teaching concepts, screensharing, and showing demos of his own setup. Whether you have experimented with a few AI tools or have no idea where to begin, this session will help you understand what agents can realistically do and how to start using them. Learn more about James and The Agent Accelerator:https://agentaccelerator.ai/

  • S1 · E69
    August 5 · 54 min

    AI Agents Are About to Move Off the Cloud. Here’s What Changes

    What 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/#/superclaw Intel AI Builder: https://aibuilder.intel.com/ Intel SuperClaw GitHub: https://github.com/intel/intel-ai-builder/tree/main/superclaw Intel’s SuperClaw overview: https://newsroom.intel.com/opinion/solving-the-agentic-ai-trilemma-cost-scale-and-data-security Subscribe 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:

  • July 31 · 1 hr 8 min

    BONUS: How to Publish Your AI-Built App to the App Store

    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/

  • July 29 · 23 min

    AI Can Build It, But Can AI Ship It?

    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!

  • July 24 · 2 hr 20 min

    BONUS: We Built 15+ Apps With AI. Here’s What Actually Worked

    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.

  • S1 · E68
    July 22 · 1 hr 10 min

    Will AI Robots Perform Surgery Better Than Humans?

    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/

  • July 17 · 2 hr 58 min

    BONUS: AI Agents Are Here. Now What?

    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

  • S1 · E67
    July 15 · 57 min

    Inside the Hidden Geometry of 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!

  • S1 · E66
    July 13 · 41 min

    AI That Rides Along With Truck Drivers

    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/

  • July 10 · 2 hr 13 min

    BONUS: GPT-5.6 Sol Goes Live: Must-Try Use Cases We’re Testing Live

    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

Showing 1–20 of 32 episodes