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The Neuron

The Neuron: AI Explained

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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

Newest episodes

BONUS: LIVE: Can We Patch Fast Enough? AI Is Finding Flaws Faster Than Ever

1 hr 48 min

AI is finding software vulnerabilities faster than organizations can patch them. OpenAI reported 948 Linux vulnerabilities with working privilege-escalation exploits. Should we be worried Join The Neuron's Corey Noles LIVE with Mark Stockley, Cybersecurity Evangelist at ThreatDown and host of The AI Fix podcast, to explore what AI-powered vulnerability discovery means for businesses, developers, and everyday users. Thanks to Alumni Ventures for sponsoring this episode and helping accredited individual investors access professionally managed venture capital portfolios. Explore their investment opportunities and learn more at https://www.av.vc/. From OpenAI's Linux research to PHP2Shell and Anthropic's Project Glasswing, we'll separate the real risks from the hype.What We'll Cover: - OpenAI's 948 findings: What was actually demonstrated? - PHP2Shell: Why PHP flaws can threaten web servers. - The Patch Tsunami: Can defenders keep up with AI discovery? - Claude Mythos: Why access to some AI models is restricted. - AI cybercrime: Could attackers exploit the patching gap? - CVE counts: Does more disclosure mean less security? - Next steps for users, developers, and security teams. Guest & Resources: - ThreatDown: https://www.threatdown.com/ - The AI Fix: https://theaifix.show/ - The Patch Tsunami: https://www.threatdown.com/blog/the-patch-tsunami/ - OpenAI research: https://openai.com/index/a-thousand-fewer-paths-to-root/ - PHP updates: https://www.php.net/ - Project Glasswing: https://www.anthropic.com/project/glasswing 🔔 Subscribe for clear, practical AI coverage AI-powered vulnerability discovery is outpacing our ability to patch systems. Learn if your business is at risk today. Mark Stockley joins Corey Noles to examine the real-world implications of automated hacking. We analyze whether the current patch tsunami is a manageable challenge or an existential threat to modern web security. The discussion covers why OpenAI research and other automated tools are fi...

AI Changed More in 4 Years Than You Remember

1 hr 18 min

Corey and Grant walk backward through roughly four years of modern generative AI, starting with late-2026 frontier models and agents and tracing the path back to ChatGPT’s November 2022 launch and the 2017 Transformer paper. The episode focuses on what changed at each stage: reasoning, tools, multimodality, long context, agents, open-source competition, and the shift from chatbots toward long-running computer work. They also revisit their own first encounters with ChatGPT, debate open access versus AI safety, and close with long-term predictions about robotics, machine labor, scientific progress, and who should have access to increasingly capable systems. Subscribe to The Neuron newsletter: https://theneuron.aiSponsored by ZoomInfo. Learn more: https://www.zoominfo.com/theneuron

Napster Is an AI Company Now. Seriously.

47 min

Corey talks with Napster CEO John Acunto about the company’s pivot from music into AI agents and what Napster calls “streaming intelligence.” Acunto lays out a four-part customer-data framework, capture, learn, act, own, and argues that companies should use conversational agents to learn directly from customers while keeping control of the resulting data and models. The conversation covers photorealistic video agents, edge compute, Microsoft Azure / Foundry, robotics, data portability, customer conversion, and Napster’s broader bet that the next interface for AI will feel more like talking to a person than typing into a box. Learn more: https://napster.com Subscribe to The Neuron newsletter: https://theneuron.ai Sponsored by Outshift: “Scaling Out Superintelligence” Vijoy Pandey, January 2026. The technical whitepaper detailing the Internet of Cognition architecture, three-layer stack, and cognition state protocols. https://outshift.cisco.com/internet-of-cognition/whitepaper?utm_campaign=fy27q1_outshift_ww_paid_ioc-neuron-wp_podcast&utm_channel=podcast&utm_source=podcast Internet of Cognition Interactive Demo Clickable walkthrough showing per-agent activity, intent, context, and collective reasoning across a multi-agent SRE system.https://outshift.cisco.com/internet-of-cognition/explore?utm_campaign=fy27q1_outshift_ww_paid_ioc-neuron-explore_podcast&utm_channel=podcast&utm_source=podcast

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All episodes

BONUS: LIVE: Can We Patch Fast Enough? AI Is Finding Flaws Faster Than Ever

1 hr 48 min

AI is finding software vulnerabilities faster than organizations can patch them. OpenAI reported 948 Linux vulnerabilities with working privilege-escalation exploits. Should we be worried Join The Neuron's Corey Noles LIVE with Mark Stockley, Cybersecurity Evangelist at ThreatDown and host of The AI Fix podcast, to explore what AI-powered vulnerability discovery means for businesses, developers, and everyday users. Thanks to Alumni Ventures for sponsoring this episode and helping accredited individual investors access professionally managed venture capital portfolios. Explore their investment opportunities and learn more at https://www.av.vc/. From OpenAI's Linux research to PHP2Shell and Anthropic's Project Glasswing, we'll separate the real risks from the hype.What We'll Cover: - OpenAI's 948 findings: What was actually demonstrated? - PHP2Shell: Why PHP flaws can threaten web servers. - The Patch Tsunami: Can defenders keep up with AI discovery? - Claude Mythos: Why access to some AI models is restricted. - AI cybercrime: Could attackers exploit the patching gap? - CVE counts: Does more disclosure mean less security? - Next steps for users, developers, and security teams. Guest & Resources: - ThreatDown: https://www.threatdown.com/ - The AI Fix: https://theaifix.show/ - The Patch Tsunami: https://www.threatdown.com/blog/the-patch-tsunami/ - OpenAI research: https://openai.com/index/a-thousand-fewer-paths-to-root/ - PHP updates: https://www.php.net/ - Project Glasswing: https://www.anthropic.com/project/glasswing 🔔 Subscribe for clear, practical AI coverage AI-powered vulnerability discovery is outpacing our ability to patch systems. Learn if your business is at risk today. Mark Stockley joins Corey Noles to examine the real-world implications of automated hacking. We analyze whether the current patch tsunami is a manageable challenge or an existential threat to modern web security. The discussion covers why OpenAI research and other automated tools are fi...

AI Changed More in 4 Years Than You Remember

1 hr 18 min

Corey and Grant walk backward through roughly four years of modern generative AI, starting with late-2026 frontier models and agents and tracing the path back to ChatGPT’s November 2022 launch and the 2017 Transformer paper. The episode focuses on what changed at each stage: reasoning, tools, multimodality, long context, agents, open-source competition, and the shift from chatbots toward long-running computer work. They also revisit their own first encounters with ChatGPT, debate open access versus AI safety, and close with long-term predictions about robotics, machine labor, scientific progress, and who should have access to increasingly capable systems. Subscribe to The Neuron newsletter: https://theneuron.aiSponsored by ZoomInfo. Learn more: https://www.zoominfo.com/theneuron

Napster Is an AI Company Now. Seriously.

47 min

Corey talks with Napster CEO John Acunto about the company’s pivot from music into AI agents and what Napster calls “streaming intelligence.” Acunto lays out a four-part customer-data framework, capture, learn, act, own, and argues that companies should use conversational agents to learn directly from customers while keeping control of the resulting data and models. The conversation covers photorealistic video agents, edge compute, Microsoft Azure / Foundry, robotics, data portability, customer conversion, and Napster’s broader bet that the next interface for AI will feel more like talking to a person than typing into a box. Learn more: https://napster.com Subscribe to The Neuron newsletter: https://theneuron.ai Sponsored by Outshift: “Scaling Out Superintelligence” Vijoy Pandey, January 2026. The technical whitepaper detailing the Internet of Cognition architecture, three-layer stack, and cognition state protocols. https://outshift.cisco.com/internet-of-cognition/whitepaper?utm_campaign=fy27q1_outshift_ww_paid_ioc-neuron-wp_podcast&utm_channel=podcast&utm_source=podcast Internet of Cognition Interactive Demo Clickable walkthrough showing per-agent activity, intent, context, and collective reasoning across a multi-agent SRE system.https://outshift.cisco.com/internet-of-cognition/explore?utm_campaign=fy27q1_outshift_ww_paid_ioc-neuron-explore_podcast&utm_channel=podcast&utm_source=podcast

Robots That Learn Jobs by Watching You

48 min

Standard Bots CEO Evan Beard explains why industrial robots are finally starting to move beyond brittle point-by-point programming. Instead of teaching a robot one exact path, teams can increasingly describe a task, demonstrate it through teleoperation or guided motion, and let the system learn how to handle variation in the real world. The conversation covers natural-language robot programming, learning by demonstration, ugly factory edge cases, the reliability bar for production, and why the most important robotics progress may look less like a humanoid stunt and more like a machine that can handle a shifted part without calling an engineer. Relevant Article Links: https://standardbots.com/ Subscribe to The Neuron newsletter: https://theneuron.ai Sponsored by Outshift by Cisco. Learn more: https://outshift.com Sponsored by Origin. Learn more: https://originhq.com/AIexplained

Can Living Neurons Make AI 5x Faster?

46 min

Neurosurgeon-scientists Alex Ksendzovsky and Jon Pomeraniec explain how The Biological Computing Company uses living neurons as a research platform for AI. Their team grows roughly 150,000 cells on a 4,096-electrode array, sends in patterns such as handwritten digits, records how the neurons respond, and models useful computational behaviors in software. They say those neuron-inspired techniques are already helping GPU-based video-generation systems run about 5x faster with roughly 80% lower inference cost, while their longer-term work explores robots, world models, and real-time biological compute. Relevant Article Links: https://app.tbc.co https://www.youtube.com/watch?v=R4eKRihw9f4 Subscribe to The Neuron newsletter: https://theneuron.ai Sponsored by Mercor: Check out the AI Productivity Index (APEX) here: https://www.mercor.com/apex/?utm_source=neuron&utm_medium=podcast&utm_campaign=apex&utm_content=10_7 Sponsored by Outshift:“Scaling Out Superintelligence” Vijoy Pandey, January 2026. The technical whitepaper detailing the Internet of Cognition architecture, three-layer stack, and cognition state protocols. https://outshift.cisco.com/internet-of-cognition/whitepaper?utm_campaign=fy27q1_outshift_ww_paid_ioc-neuron-wp_podcast&utm_channel=podcast&utm_source=podcast Internet of Cognition Interactive Demo Clickable walkthrough showing per-agent activity, intent, context, and collective reasoning across a multi-agent SRE system.https://outshift.cisco.com/internet-of-cognition/explore?utm_campaign=fy27q1_outshift_ww_paid_ioc-neuron-explore_podcast&utm_channel=podcast&utm_source=podcast

BONUS: LIVE: Everything that Happened in AI This Week

2 hr 1 min

OpenAI just dropped 20+ announcements at DevDay 2026, so... yeah, we have some things to talk about. 😺 We’re going to break down what OpenAI announced, what actually matters, and what could change how you use AI. 🤖 OPENAI DEVDAY 2026 OpenAI’s biggest reveal was Dots, always-on AI agents powered by GPT-6 Astra. They get their own cloud computer, connect to 4,000+ apps, learn how you work, and keep working in the background. OpenAI also unveiled ChatGPT Space, collaborative Pages and Slides, Codex in the cloud, the Decisions API, plugin extensions, a $500 Pro plan, and more. DevDay recap:https://openai.com/index/devday-2026-recap/ Then there’s GPT-6.1 Sol, which OpenAI says gets close to Astra-level performance on coding, computer use, and professional work at roughly one-fifth of Astra’s standard token price. https://openai.com/index/introducing-gpt-6-1-sol/ 📰 AND THAT’S NOT ALL... We’ll also get into: ⚡ Claude Sonnet 5.5, Anthropic’s faster, cheaper Sonnet update. 🌎 AMD buying Fei-Fei Li’s World Labs for $8.2B. 🛡️ NVIDIA’s new agent safety system with hardware-level monitoring. 🏢 Meta’s new enterprise AI business around Muse, Muse Code, Business Agent, and more. 🤖 Manus 2.0 + Cue, including personal agents with their own computer, phone number, email, and wallet. 🔥 Plus whatever AI news happens before we go live. What happened? What can you actually use? And are we about to have tiny armies of AI employees running around the internet for us? Come hang, ask questions, and disagree with us in chat. 👇 🤖 OpenAI DevDay 2026:https://devday.openai.com/ 🎥 Official DevDay keynote:https://www.youtube.com/watch?v=Fls_onRviPM 😺 Get The Neuron:https://www.theneuron.ai/

What If Apps Didn’t Need Code?

50 min

Runway co-founder Anastasis Germanidis explains Solaris, an “interface world model” that generates software frame by frame instead of rendering a traditional interface from HTML and CSS. The model reacts directly to clicks, drags, and keyboard input, while language models or agents can still handle logic and tool calls behind the scenes. The conversation explores personalized interfaces, local-versus-cloud world-model architecture, robotics simulation, and Runway’s longer-term bet that world models could become a new foundation for software, games, and physical AI. Relevant Article Links: • Runway Solaris: https://runway.com/news/research/introducing-solaris • Solaris paper: https://arxiv.org/abs/2609.00776 • Runway GWM Worlds: https://runway.com/research/introducing-gwm-worlds-2 • Robot policy evaluation: https://runway.com/research/accelerating-robot-policy-evaluation Subscribe to The Neuron newsletter: https://theneuron.ai Sponsored by Dell Technologies and NVIDIA. Learn more at techrepublic.com/hubs/the-enterprise-guide-to-scalable-ai/.

BONUS: OpenAI DevDay 2026 LIVE WATCH PARTY: Reacting to Every Big Announcement

2 hr 5 min

OpenAI DevDay 2026 is here, and we’re hosting a watch party to watch the keynote LIVE. Join Grant Harvey and Corey Noles from The Neuron as we react to OpenAI’s biggest DevDay announcements in real time, figure out what’s actually new, and translate the demos into what they mean for the rest of us. 📅 OPENAI DEVDAY KEYNOTE: Tuesday, September 29 10:00 AM PT / 12:00 PM CT / 1:00 PM ET Featuring Sam Altman We’ll be following OpenAI’s stream and weighing in as everything gets announced. New models? Agents? Developer tools? Something completely unexpected? Whatever OpenAI ships, we’ll break it down, explain the demos in normal-person English, and call out what actually matters. What to expect: 🤖 Live reactions to OpenAI’s biggest DevDay announcements 🧠 Plain-English explanations of what each new model, tool, or API actually does 💼 What developers, businesses, and everyday AI users should pay attention to 🔍 Our take on what matters versus what just looks good in a demo 👀 The inevitable Grant + Corey speculation when OpenAI shows something weird Official OpenAI DevDay page + livestream:https://devday.openai.com/ Get our full AI news breakdown in The Neuron:https://theneuron.ai

Can AI Help Cure Genetic Disease?

56 min

Corey and Grant sit down with Mammoth Biosciences co-founder and CEO Dr. Trevor Martin to explain how CRISPR is moving from a laboratory tool toward one-time medicines. Trevor breaks down how Mammoth searches massive biological datasets for new CRISPR systems, why AI is useful but still constrained by missing clinical data, and what it would take to build a feedback loop between AI models, wet labs, and human trials. The conversation also covers personalized medicine, the economics of one-time cures, organoids, and why a medical breakthrough may be the clearest way for AI to prove its value to the public. Mammoth Biosciences - https://mammoth.bio Subscribe to The Neuron newsletter: https://theneuron.ai Sponsored by Mercor: Check out the AI Productivity Index (APEX) here: https://www.mercor.com/apex/?utm_source=neuron&utm_medium=podcast&utm_campaign=apex&utm_content=10_7 Sponsored by Outshift:“Scaling Out Superintelligence” Vijoy Pandey, January 2026. The technical whitepaper detailing the Internet of Cognition architecture, three-layer stack, and cognition state protocols. https://outshift.cisco.com/internet-of-cognition/whitepaper?utm_campaign=fy27q1_outshift_ww_paid_ioc-neuron-wp_podcast&utm_channel=podcast&utm_source=podcast Internet of Cognition Interactive Demo Clickable walkthrough showing per-agent activity, intent, context, and collective reasoning across a multi-agent SRE system.https://outshift.cisco.com/internet-of-cognition/explore?utm_campaign=fy27q1_outshift_ww_paid_ioc-neuron-explore_podcast&utm_channel=podcast&utm_source=podcast

BONUS: GPT-6 Sol vs Claude Opus 5.5 LIVE: Which AI Model Is Better?

56 min

GPT-6 Sol, GPT-6 Luna, AND Claude Opus 5.5 all just dropped. So which model should you actually use? Join Grant Harvey and Corey Noles from The Neuron LIVE today as we put the newest models from OpenAI and Anthropic head-to-head. OpenAI says GPT-6 Sol makes roughly half as many mistakes as GPT-5.6 Sol, bringing Astra-level reliability to a much cheaper model, while GPT-6 Luna is designed for fast, high-volume work like summarization, extraction, and quick questions. OpenAI is also dramatically cutting prices, with Sol reportedly coming in at $2 / $10 per million input / output tokens and Luna at just $0.10 / $0.50. Meanwhile, Anthropic launched Claude Opus 5.5 just 90 minutes earlier. Anthropic says it performs around Claude Fable 5.1 level on most work while costing roughly 40% less to run than Opus 5, generating output more than 30% faster, and communicating more clearly. Its API price is $4 / $20 per million input / output tokens. And the benchmark fight is already spicy: Anthropic reports Opus 5.5 scoring 66.4% on Terminal-Bench 4.0, 54.4% on FrontierCode, and 1,846 Elo on GDPval-AA v2.1, with particularly strong results in coding, computer use, and professional knowledge work. On the livestream, we’ll break down: ⚔️ GPT-6 Sol vs. GPT-6 Luna 🤖 Claude Opus 5.5 vs. OpenAI’s newest models 💻 Coding, reasoning, writing, agents, and everyday work 💰 Pricing and what it means for AI users 🎯 Which model fits which kind of task 🧪 First reactions and live testing 💬 Your questions from the chat If you’ve been wondering whether to use GPT-6 Sol, GPT-6 Luna, Claude Opus 5.5, or GPT-6 Astra, come hang out and test them with us. 🔴 LIVE: 3 PM CT / 1 PM PT Subscribe to The Neuron newsletter: https://theneuron.ai Models mentioned: GPT-6 Sol + Luna: https://openai.com/index/introducing-gpt-6-sol-and-luna/Claude Opus 5.5: https://www.anthropic.com/claude-opus-5-5

How Hume AI Is Teaching Voice Systems to Understand More Than Words

58 min

AI voices can already sound startlingly human. The harder problem is whether they actually understand how humans speak. Andrew Ettinger, CEO of Hume AI, joins Corey Noles and Grant Harvey to explain why voice AI still has a “listening problem.” A transcript can capture the words someone says while stripping away tone, hesitation, frustration, background noise, dialect, speaker identity, and the other signals that shape what those words actually mean. The conversation explores how Hume evaluates voice systems against real-world conditions, why emotion is better understood as a high-dimensional spectrum than a handful of neat labels, what breaks during long-running voice interactions, how speech-to-speech systems and AI voice agents could become a primary interface for computing, and what new safety and personalization challenges appear when AI starts talking back. If you want to understand what has to improve before voice AI feels truly natural—not just realistic—this episode is a practical look at the infrastructure, evaluation, and human feedback behind the next generation of spoken AI. Subscribe to The Neuron at https://theneuron.ai for more AI news and analysis. Sponsored by SAS: Grow faster and scale confidently with trusted AI solutions. Visit www.sas.com/smb Sponsored by Origin: Origin is endpoint AI observability. See what a trace looks like at https://www.originhq.com/aiexplained Sponsored by Outshift: “Scaling Out Superintelligence” Vijoy Pandey, January 2026. The technical whitepaper detailing the Internet of Cognition architecture, three-layer stack, and cognition state protocols. https://outshift.cisco.com/internet-of-cognition/whitepaper?utm_campaign=fy27q1_outshift_ww_paid_ioc-neuron-wp_podcast&utm_channel=podcast&utm_source=podcastInternet of Cognition Interactive Demo Clickable walkthrough showing per-agent activity, intent, context, and collective reasoning across a multi-agent SRE system.https://outshift.cisco.com/internet-of-cognition/expl...

BONUS: OpenClaw 2.0 with Chief Architect Vincent Koc

1 hr 19 min

OpenClaw 2.0 just landed, and we’re going straight to the person helping build it. 🦞 This week on The Neuron LIVE, Vincent Koc, Chief Architect of OpenClaw, joins us for a hands-on look at the biggest OpenClaw update yet. Vincent will demo OpenClaw 2.0, break down what’s new, and show how OpenClaw is evolving from an open-source personal AI assistant into a broader agentic computing platform. We’ll cover: 🦞 OpenClaw 2.0 and the biggest changes 🖥️ The new OpenClaw experience and easier setup 🤖 Running agents across local machines and cloud workers 📊 Interactive widgets, dashboards, and persistent agent work ⚡ New automations, loops, and approval controls 🧠 Local models, memory, and agent interoperability 🐝 Experimental multi-agent features like Swarm 🔐 Credentials, permissions, and agent security 🔮 Where OpenClaw and personal AI agents go from here Plus, because this is LIVE, we’ll put your questions directly to Vincent while he walks us through the new release. Whether you’re curious about OpenClaw, already running your own lobster, or want to see how far personal AI agents have come in 2026, this is one to watch. Subscribe to The Neuron for practical AI news, analysis, interviews, and demos without the hype.

Inside CoreWeave’s AI Infrastructure With Chen Goldberg

39 min

AI infrastructure used to be the part developers were supposed to forget about. What happens when the infrastructure itself starts determining what AI can do Corey Noles sits down with Chen Goldberg, Executive Vice President, Product & Engineering at CoreWeave, to unpack the systems underneath the next wave of AI. Using CoreWeave’s newly announced multi-rack NVIDIA Vera Rubin NVL72 deployment as a jumping-off point, Chen explains why modern AI infrastructure is no longer just a question of how many GPUs you can get. Compute, networking, storage, cooling, observability, security, and orchestration all have to behave like one enormous machine. The conversation moves from long-running AI agents and latency to Kubernetes, security guardrails, physical AI, energy constraints, and the changing role of software engineers. Chen also explains why CoreWeave sees AI as a transformational rather than incremental shift — and why making this infrastructure accessible matters if the benefits are going to reach more than a small group of companies and researchers. For more practical AI news, tools, and analysis, subscribe to The Neuron at https://theneuron.ai. Sponsored by Outshift:“Scaling Out Superintelligence”  Vijoy Pandey, January 2026. The technical whitepaper detailing the Internet of Cognition architecture, three-layer stack, and cognition state protocols. https://outshift.cisco.com/internet-of-cognition/whitepaper?utm_campaign=fy27q1_outshift_ww_paid_ioc-neuron-wp_podcast&utm_channel=podcast&utm_source=podcastInternet of Cognition Interactive Demo Clickable walkthrough showing per-agent activity, intent, context, and collective reasoning across a multi-agent SRE system.https://outshift.cisco.com/internet-of-cognition/explore?utm_campaign=fy27q1_outshift_ww_paid_ioc-neuron-explore_podcast&utm_channel=podcast&utm_source=podcast

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

1 hr 58 min

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.

GPT-6 Astra One-Shot Demos

1 hr 5 min

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

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

1 hr 35 min

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.

OpenAI Astra, Local AI, and the Hardware Race

1 hr 34 min

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/

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

1 hr 0 min

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/

Where Does AI Agent Security Actually Live?

54 min

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/

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

1 hr 51 min

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/

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

45 min

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

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

58 min

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

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

51 min

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/

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

1 hr 59 min

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:h...

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

54 min

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:

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

1 hr 8 min

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 Build It, But Can AI Ship It?

23 min

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!

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

2 hr 20 min

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.

Will AI Robots Perform Surgery Better Than Humans?

1 hr 10 min

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/

BONUS: AI Agents Are Here. Now What?

2 hr 58 min

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

Inside the Hidden Geometry of AI

57 min

 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 That Rides Along With Truck Drivers

41 min

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/

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

2 hr 13 min

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

ComfyUI Proves AI Art Is Not Zero Effort

57 min

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!

BONUS: Government Banning AI Fallout: China, the economy, what's at risk, and what you should do.

1 hr 23 min

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.

Can AI Agents Learn From Expert Corrections?

52 min

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

BONUS: Humanoid Robots Need More Than Servo Motors: Here's What

1 hr 39 min

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.

HP Built an AI That Fixes Your Computer Before It Breaks

51 min

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

BONUS: AI Skills vs Agents vs GPTs: Which One Do I Use?

2 hr 6 min

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

Why Frontier AI Still Sees Like a Toddler, w/ Andrew Dai

42 min

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.

BONUS: Scott Hanselman Showcases Engineering with AI LIVE from Microsoft Build 2026

44 min

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/

Mustafa Suleyman on Microsoft’s Humanist Superintelligence Bet

14 min

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 BeyondTrustCheck 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.

BONUS: New GPT Memory Feature, GPT-5.6 Rumors, Hermes Desktop Agent, New Codex Plugins, MAI-2.5 Image, Etc.

2 hr 2 min

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/

The Internet Needs Proof You’re Human

55 min

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

BONUS: A Total Beginner’s Guide to AI Agents & Automation

2 hr 1 min

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/

What Comes After GPUs? Great Sky’s Bet on Brain-Like AI

59 min

What if the next big AI breakthrough is not a bigger model, but a completely different kind of computer? Jeff Shainline, co-founder and CEO of Great Sky, joins The Neuron to explain how his team is building brain-inspired AI hardware using superconductors, photonics, and analog computation. Great Sky’s architecture, called Superconducting Optoelectronic Networks, or SOENs, is designed to move beyond the traditional GPU roadmap by co-locating memory and processing, communicating with light, and mimicking some of the high-connectivity dynamics found in biological brains. In this conversation, Jeff breaks down why today’s chips can struggle with fast, multimodal inference; why transformers may be powerful but inefficient for some future workloads; how Great Sky’s system differs from quantum computing; and why early applications could include fusion reactors, particle physics, video understanding, content moderation, and eventually new model architectures that do not map neatly onto today’s hardware. Subscribe to The Neuron for grounded, practical conversations about where AI is going next—and what actually has to work before the hype becomes real.

BONUS: Building Real-Time AI Voice Agents with LiveKit's Ben Cherry

1 hr 9 min

Voice agents are moving from “cool demo” to real product infrastructure. In this livestream, we’re joined by Ben Cherry of LiveKit to break down what it actually takes to build real-time AI agents that can listen, respond, interrupt, call tools, and work in production. LiveKit is an open source framework and developer platform for building voice, video, and physical AI agents in production. We’ll talk through the stack behind real-time AI experiences, then build and test a live demo together on The Neuron. In this live demo, we’ll cover: 🎙️ How LiveKit helps developers build voice, video, and physical AI agents ⚡ What makes real-time agents different from normal chatbots 🧠 How voice agents handle latency, interruptions, speech, and tool calls 🛠️ Why production-ready AI agents are much harder than a weekend demo 🚀 What builders should know before shipping voice AI to real users And yes, we’re doing a live demo, which means there is at least a small chance the agent talks back at exactly the wrong time. Perfect television. Guest: Ben Cherry, LiveKit LiveKit: https://livekit.com/ Ben on LinkedIn: https://www.linkedin.com/in/bcherry-product-engineer Ben on GitHub: https://github.com/bcherry Subscribe to The Neuron for clear, useful AI news, demos, and explainers for people trying to understand where this tech is actually going. https://www.theneuron.ai/

The AI Trying to Solve Math’s Biggest Mystery w/ Tudor Achim of Harmonic

46 min

What happens when AI stops simply giving answers and starts producing proofs a computer can verify? In this episode of The Neuron, Corey Noles and Grant Harvey talk with Tudor Achim, Co-Founder and CEO of Harmonic, the company behind Aristotle — a formal reasoning system built to generate machine-checkable mathematical proofs. Tudor explains why math may be the clearest test case for moving AI from “trust me” to “check me,” and why formal verification could matter far beyond Olympiad benchmarks. They discuss what “mathematical superintelligence” actually means, why Tudor thinks solving a Millennium Prize problem would be a meaningful threshold, and how Lean-based proofs could change the way mathematicians collaborate. They also explore Aristotle’s real-world use cases, from open math problems to verified software, chip design, scientific computing, and the future of AI-assisted discovery. Plus: why Tudor thinks formal math has reached a “zero to one” moment, why specs may be the bottleneck in verified software, and why humans still need to direct the questions AI systems try to solve. Subscribe to The Neuron and sign up for The Neuron Daily at theneuron.ai.

BONUS: Can AI Actually Be Your Therapist? We Ask the CEO Building One

1 hr 13 min

May is Mental Health Awareness Month, and as AI becomes more embedded in our daily lives, one of the biggest questions we face is whether these systems can responsibly support emotional and psychological well-being. AI chatbots are increasingly being used for emotional support, but recent lawsuits faced by OpenAI and earlier ones targeting character.ai and Google's AI Overviews, as well as clinical reports, and internal research have raised valid concerns about their impact on vulnerable users. What does it take to build an AI system specifically designed for mental health from the ground up? Is that even possible? In this LIVE episode of The Neuron Podcast, Corey Noles and Grant Harvey speak with Daniel Reid Cahn, co-founder and CEO of Slingshot AI, about Ash, an AI application purpose-built for therapeutic support. Slingshot has raised $93M from a16z, Radical Ventures, and others to develop a foundation model for psychology trained on structured therapeutic conversations across modalities such as CBT, DBT, and psychodynamic therapy. We discuss the limitations of general-purpose chatbots in mental health contexts, recent controversies surrounding AI and psychiatric risk, and what differentiates a system designed to provide structured therapeutic engagement compared to one being used in a way it was never intended to be. The conversation also explores a broader question: Can AI meaningfully expand access to high-quality mental health care, and where should clear boundaries remain? Or should we keep our counseling where we always have, on a couch with a box of Kleenex and a hug nearby? 🔗 Try Ash: https://www.talktoash.com/ 📌 About The Neuron Podcast The Neuron breaks down the biggest stories in AI for 580,000+ daily readers. Our podcast goes deeper with the leaders, founders, and researchers shaping the future of AI. New episodes every week. Subscribe to The Neuron newsletter — theneuron.ai

Inside Genspark: $0 to $250M ARR in 12 Months with Wen Sang

44 min

Genspark went from AI search startup to autonomous AI agent platform, hitting $250M ARR in 12 months with no paid ads until they bought a Super Bowl spot. Co-founder and COO Wen Sang joins Corey and Grant to explain what "AI employee" actually means, demos Genspark Claw live (including buying us coffee mid-interview), and lays out his big thesis: legacy software is becoming infrastructure while AI agents become the new interface between humans and work. We get hands-on with Workspace 4.0, Claw, and a custom agent built live for the show. • Genspark Workspace 4.0 announcement: https://www.genspark.ai/blog/genspark-ai-workspace-4 • Genspark sb-git: https://genspark.ai/sb-git/intro • OpenAI's customer story on Genspark: https://openai.com/index/genspark/ • Forbes AI 50 (2026): https://www.forbes.com/lists/ai50/ • Marc Benioff on Salesforce Headless 360 (referenced by Wen): https://x.com/Benioff • Andrej Karpathy's "wiki for agents" idea (referenced as inspiration for sb-git): https://x.com/karpathy • Wen on the DealMaker Show: https://alejandrocremades.com/wen-sang/ Try Genspark for free: https://genspark.ai Subscribe to The Neuron newsletter: https://theneuron.ai

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