The Neuron: AI Explained

AI can now help almost anyone turn an idea into a working prototype. But what happens when that vibe-coded experiment needs to become secure, reliable software that real customers can trust—and pay for?

Corey Noles and Grant Harvey speak with Deap Ubhi, Global Director of Technology for Startups at AWS, about AWS Startup Advisor, an AI-powered builder assistant designed to bring AWS architecture, security, cost, deployment, and scaling guidance directly into a founder’s workflow.

Deap explains why generative AI has compressed startup iteration cycles from months into days or hours, how nontechnical founders can test ideas before making major technical investments, and why human judgment, product taste, and focus matter even more when building becomes dramatically easier. The conversation also explores the crucial leap from proof of concept to production, including the infrastructure, authentication, resilience, observability, and security decisions that first-time builders may not know to ask about.

Listen to hear how Startup Advisor works inside tools including Claude Code, Cursor, Codex, VS Code, and Kiro—and why the next generation of founders may start with an AI coding agent and a virtual AWS solutions architect on their shoulder.

For more practical conversations about how AI is changing work, business, and technology, subscribe to The Neuron and The Neuron: AI Explained.
https://www.theneurondaily.com/

Explore AWS Startup Advisor:https://aws.amazon.com/aws-startups/advisor/

Learn more about the launch:https://aws.amazon.com/aws-startups/from-idea-to-revenue-at-startup-speed-with-ai/

The Neuron Academy helps professionals build practical AI skills they can use right away, with lessons on prompting, workflows, and real workplace use cases. Check out https://theneuronacademy.com/ today!

Join Grant Harvey and Corey Noles live on Thursday, July 23, for a show-and-tell featuring the apps, games, extensions, and delightfully specific tools they’ve built with AI, plus tips to help you build your own without burning through as many tokens.

Corey will demo:
☕ Bean Counter, which tracks how many cups of coffee he has saved
🗂️ Tab Crusher, a Chrome extension for conquering tab overload
✍️ Threadline, his editorial operating system for writers
🎮 Circle Back, a gamified task-management app
🍽️ On Deck, which answers Corey’s eternal question: What should I eat next?

Getting AI to choose his next meal is Corey’s personal AGI benchmark. Pizza arriving through a voice command remains the final boss.

Grant will show:
🌊 FlowState, a focused writing app
🎛️ Orchestrator, a local command center for managing AI chats through APIs
🎬 LTX CineScript, a system that turns a script into an edited film
🐿️ Sqwirl World, a RuneScape-style mini MMO starring squirrels
🧪 Plus other experiments, prototypes, and tools built to solve very specific problems

They’ll explain what each project does, how it was made, how they got it live through trial and error, and what they’ve learned over the past year and a half as non-technical builders creating software with AI.

Building your own apps is one of the best ways to learn what AI can actually do. Your idea may not become the next breakout product, but it can save you time, solve a persistent headache, and be a lot of fun to create.

Whether you want to build an internal tool, automate an annoying task, or finally create the weird app living in your head, this session will show you what is possible.

Autonomous surgery may sound futuristic, but automation already plays an important role in procedures requiring extraordinary precision.

Mathias Unberath of Inner Logic joins Grant Harvey to explain how AI could help surgical robots understand anatomy, respond to unexpected events, and gradually take on more responsibility in the operating room. They explore which procedures could be automated first, how robots can learn to recover from mistakes, and why these systems may expand access to care without eliminating the need for human surgeons.

For more information please visit Inner Logic: https://semaphorsurgical.com/innerlogic/

Subscribe to The Neuron newsletter: https://theneuron.ai

Sponsored by Dell Technologies and NVIDIA. Learn more at https://www.techrepublic.com/hubs/the-enterprise-guide-to-scalable-ai/

Neuron Live is back and we are going deep on Microsoft’s big move in AI agents. 🤖

This week, we’re joined by Bryan Goode, Corporate Vice President of Business Applications Marketing at Microsoft, to unpack Microsoft Agent 365, the new control plane for AI agents.

Agent 365 is Microsoft’s answer to a question every company is about to face: how do you actually deploy, manage, and secure AI agents at scale? Think of it as a registry, an access control layer, and a security system for your entire fleet of AI agents, whether you built them in Copilot or brought them in from elsewhere.

On the live, we’ll cover how agents work inside the Copilot ecosystem, what Agent 365 actually gives IT teams, and how to think about getting started with agents at your company. 💻👀

If we’re lucky, Bryan will walk us through a live demo defining a use case, building an agent in Copilot from scratch, deploying it through Agent 365, and tracking how it performs in real time. If you’ve been wanting to build your first AI agent but didn’t know where to start, this is the one to watch live.

Subscribe for weekly AI coverage from The Neuron and more livestreams like this.

💌 https://theneuron.ai

What if neural networks are less like mysterious black boxes and more like systems we can inspect, debug, and eventually design with intention?

In this episode of The Neuron: AI Explained, Corey Noles and Grant Harvey talk with Eric Ho, Cofounder & CEO of Goodfire, an AI interpretability company working to understand what’s happening inside neural networks. Eric explains why models may contain meaningful internal structures — including features, representations, circuits, and curved manifolds — and how mapping those structures could make AI systems safer, more reliable, and more useful.

They discuss why models may “think in shapes,” how Goodfire uses AI to interpret other AI systems, what neural geometry can reveal about hallucinations and model behavior, and why interpretability could change how companies train and control their own models.

They also get into consciousness, robotics, multimodal models, the bitter lesson, and why Eric thinks more people should be looking under the hood of the most consequential technology of our time.

Subscribe to The Neuron for more grounded conversations about how AI actually works: https://www.theneuron.ai/

Sponsored by SAS AI Governance: Visit https://www.sas.com/en_us/solutions/ai/governance.html?utm_source=other&utm_medium=cpm&utm_campaign=sas-vpl-gbc-gps-global#

The Neuron Academy helps professionals build practical AI skills they can use right away, with lessons on prompting, workflows, and real workplace use cases. Check out https://theneuronacademy.com/ today!