The Neuron: AI Explained

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/

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

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.

The Neuron: https://www.theneuron.ai/
The Neuron Academy: https://www.neuronacademy.com/

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/