The Neuron: AI Explained

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.

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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

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.

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/

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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.

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.

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