Welcome, humans.

We’re going live in five minutes to talk through the weirdest week in frontier AI access so far.

Join us live on YouTube here.

Anthropic's Fable 5 relaunch got pulled almost immediately (it's officially back up now). OpenAI's GPT-5.6 rollout arrived in a limited, half-available state. And the question under both stories is suddenly not theoretical:

What happens when governments can slow, restrict, or pause the best AI systems right as companies start building around them?

That is what today's livestream is about: China, the economy, what is at risk, and what you should do if your team is betting real work on frontier AI.

What we're covering live:

• Why Fable 5's relaunch and takedown became a warning shot: frontier models are now policy events, not just product launches.

• What GPT-5.6's limited rollout says about model access: the best model in the world is less useful if half your stack cannot reliably reach it.

• How restrictions could reshape the U.S. vs. China AI race: open-source models, faster iteration, and fewer bottlenecks could matter more than headline benchmarks.

• Why every company needs an open-source backup strategy: if your workflow depends on one closed model, you need a plan for outages, degradations, and access changes.

• How AI uncertainty could hit the economy: businesses are pricing in AI-driven productivity before the access rules are fully stable.

• What we would do now: as builders, buyers, workers, and AI-curious professionals trying to make smart decisions in rocky water.

No financial advice, no panic theater. Just a practical read on what is changing, what is fragile, and how to make better decisions while AI access gets political.

Watch live today: YouTube

P.S. We’re going live in five minutes, so click in early, say hi in chat, and bring the questions your boss is going to ask you about model access next week.

Real quick: Want to see your AI-adjacent product or service show up right here, below these podcast promos? Click the button below to advertise to our 700K+ readers!

🎙️ In Case You Missed It…

Four recent videos worth checking out next:

1. Want agents that learn from experts? Watch: Can AI Agents Learn From Expert Corrections?

TL;DW: John de Wasseige and Arthur Fernandes Araujo from OpenAI explain how Tax AI, built with Thrive Holdings, turns accountant corrections into structured signals, traces, evals, and scoped product fixes.

Why you should watch: This is one of the clearest real-world examples of agents improving inside expert workflows without asking humans to blindly trust them.

• YouTube: Watch Here

• Spotify: Listen Here

• Apple Podcasts: Listen Here

If today's livestream is about what happens when model access gets unstable, this episode is the companion piece on how to build agents that can still be reviewed, measured, and improved.

2. Worried AI still cannot really see? Watch: AI Still Sees Like a Toddler

TL;DW: Andrew Dai, co-founder and CEO of Elorian, explains why today's AI can describe images but still struggles with visual reasoning, from diagrams and tangled cords to floor plans and robots.

Why you should watch: If text agents feel powerful but visual agents still feel strangely brittle, this is the missing explanation. Better AI vision could change engineering, robotics, satellite analysis, and product design.

• YouTube: Watch Here

• Spotify: Listen Here

• Apple Podcasts: Listen Here

It is a clean reset on why multimodal does not automatically mean understands the world.

3. Not sure whether to use Skills, Projects, GPTs, or Agents? Watch: AI Skills vs Agents vs GPTs

TL;DW: Grant and Corey break down the confusing assistant stack: Projects for ongoing work, Custom GPTs and Gems for reusable assistants, Skills for repeatable workflows, and Agents for systems that can take actions.

Why you should watch: If the product names are starting to blur together, this gives you a simple decision tree. The most useful rule: if you do something more than twice, make it a Skill.

• YouTube: Watch Here

• Companion guide: Read Here

This one is especially good for forwarding to the person who keeps asking, "Wait, is this an agent or a GPT?"

4. Want to turn the messy spreadsheet into software? Watch: We Turned a Spreadsheet Into a Business App

TL;DW: Corey and Grant test Pave by QuickBase by turning a messy spreadsheet into a lightweight CRM and project tracker.

Why you should watch: This is a useful benchmark for AI app builders: can the tool understand messy starting data, build tables, add dashboards, support roles, and publish something usable without turning it into a full engineering project?

• YouTube: Watch Here

Spotify and Apple links were not included for this one, so we kept it as a YouTube-only video.

One more before you go:

We’re going live in five minutes. If you made it this far, that is your sign to open the stream now and let it sit in the background until Grant and Corey start.

Last thing: if you have not subscribed yet, please do. Click the image below to go to our channel and hit subscribe to get notified when new videos go live.

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Stay curious,

The Neuron Team

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