Stay ConnectedThe 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.
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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/
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/
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/
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
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/
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!
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