The Neuron: AI Explained

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 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/

This is the #1 request we get every week: how to actually use agents to save time in your business.

We’re bringing in James McAulay, founder of The Agent Accelerator, for a practical crash course on what AI agents are, how they work, and how beginners can start using them to get real work done.

James has spent the past year building at the front lines of the agent economy. After helping ElevenLabs grow from $110M to more than $300M in annual recurring revenue, he launched a fully AI-native business that reached $80K in monthly revenue by its third month and recorded its first $200K+ month by month five.

He did it without a single employee or a dollar spent on paid ads. Instead, James delegates work to multiple AI agents every day.

Through The Agent Accelerator, James now teaches founders, CEOs, and their teams how to become AI-native. The program has trained more than 400 people across 100 companies, including startups, 200-person organizations, and the UK Government. Participants report automating an average of five hours of manual work every week after four weeks.

In our session, James is going to teach:

EVERYTHING you need to build helpful, proactive agents in Claude Cowork/Code

He'll walk through the following concepts:
• Quick primer on agent foundations: how do we move from prompting a chatbot to delegating Agentic work
• Starting your second brain: the key files that make the biggest difference
• Tips & tricks for optimizing Claude's behavior with CLAUDE.md
• Skills
- where to find good ones
- how to create great ones
• And his 4-level framework for proactive agents that work without being prompted in Cowork and Code

Format will be a blend of James teaching concepts, screensharing, and showing demos of his own setup.

Whether you have experimented with a few AI tools or have no idea where to begin, this session will help you understand what agents can realistically do and how to start using them.

Learn more about James and The Agent Accelerator:https://agentaccelerator.ai/

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:

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/