The Neuron: AI Explained

Grant and Kyle dive into a comprehensive review and live test of the newly released Claude Opus 4.7, a cutting-edge large language model. This session explores its capabilities for coding and game dev, specifically referencing the "Renaissance / Plan Final Fantasy Tactics RPG Game" project. Discover how this ai model performs under pressure and its potential impact on game design workflows.

🔴 LIVE at 9:30AM PT / 12:30PM ET

Anthropic just dropped Claude Opus 4.7, and we’re putting it through the gauntlet in real time.

Join Grant Harvey (Lead Writer at The Neuron) for an unscripted, warts-and-all test of Anthropic’s newest flagship model.

What we’re testing
- Advanced coding on tasks Opus 4.6 struggled with
- New higher-resolution vision support for images up to ~3.75 megapixels
- File system-based memory across multi-session work
- The new xhigh effort level, which sits between high and max
- Claude Code’s new /ultrareview slash command
- Auto mode for longer, less-interrupted agent runs

Why this matters
Opus 4.7 is the first model Anthropic is releasing with its new automatic cyber safeguards, following last week’s Project Glasswing announcement.

It’s also the direct upgrade path from Opus 4.6 at the same price:
- $5 per million input tokens
- $25 per million output tokens

If you build on Claude, this is likely the model you’ll be using next.

What’s changing under the hood
- New tokenizer, where the same input can map to more tokens depending on content type, roughly 1.0x to 1.35x
- State-of-the-art score on GDPval-AA, a third-party evaluation of economically valuable knowledge work
- Better instruction following, which means prompts written for earlier models may now behave differently
- Improvements across finance agent evals, document reasoning, and long-context tasks

Bring your hardest prompts. We’ll run them live and show you what breaks, what shines, and whether it’s worth migrating today.

Watch part two, where Grant covers Codex for (almost) anything: https://youtube.com/live/OiRkwm3-og0

📰 Full writeup in tomorrow’s newsletter:
🐱 Subscribe to The Neuron (700K+ readers): https://www.theneuron.ai

AI can reason about text and images, but it still struggles to understand the physical world.

In this episode, Grant sits down with Peter Wilczynski, Chief Product Officer at Vantor (formerly Maxar Intelligence / Digital Globe), to unpack why spatial intelligence is emerging as critical AI infrastructure. Peter spent years at Palantir building ontology systems and mapping tools for defense operations before joining Vantor, where his team has built a 100M+ square kilometer 3D model of the entire Earth at 50cm resolution.

We dig into how satellite imagery becomes machine-readable through embedding models, why "ground truth world models" are fundamentally different from hallucinated ones, the Raptor GPS-alternative system, simulation and digital forensics, the future of augmented reality, and why the physical world might be the most important thing AI still doesn't understand.

Vantor: https://vantor.com

TensorGlobe Platform: https://vantor.com/product/platform/

Vantor rebrands from Maxar Intelligence (Business Wire): https://www.businesswire.com/news/home/20251001760322/en/Vantor-Rebrands-from-Maxar-Intelligence-Unveils-AI-Powered-Platform

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Brandon Baum — better known as heybrandonb to his 25M+ followers — built a YouTube empire making cinematic, effects-heavy videos that look like they cost millions but were born in a bedroom during COVID. In this episode, we get into how he went from 2 views to a million followers in a month, why he shoots everything on iPhones with a custom 3D-printed dual-phone rig, how AI tools like Firefly Boards have replaced his Post-it Note wall, and why he thinks the atmosphere is "ripe for change" in Hollywood.

We also talk about what content is actually performing now (hint: it's not spectacle anymore), his plan to seed original IP on social before taking it to theaters, and why he's building custom AI agents to offload his admin so he can just be creative.

Brandon B's YouTube channel:
https://www.youtube.com/@heybrandonb
Adobe Firefly Boards: https://firefly.adobe.com/
LM Studio / Ollama (referenced in OpenClaw discussion): https://lmstudio.ai/ https://ollama.com/

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

Let’s build with v0 in real time. We’re going LIVE with Tom Occhino, Chief Product Officer at Vercel, to explore vibe coding and take a hands-on look at v0, Vercel’s AI-powered development platform for building apps faster. We’ll show v0 live and walk through how it turns a simple prompt into a real, shippable interface. Tom will also explain what “vibe coding” actually looks like in practice, including how teams are using it today and where it fits into modern development workflows. What we’ll cover:⚡ You’ll see a live build using v0, from the first prompt to a working app.🧠 We’ll break down what vibe coding means and why so many teams are experimenting with it.🔐 Tom will share how Vercel thinks about AI-assisted development, including security, developer experience, and scale.🧭 We’ll talk about product, community, and where the Vercel ecosystem is headed next.❓ We’ll wrap with live Q&A and take questions from the chat. If you’re building products, shipping web apps, or thinking about how AI fits into your workflow, this session will give you a clear, practical look at what’s possible.Links: • Try v0: https://v0.app/• Vercel platform: https://vercel.com
Check out these template to get inspired: https://v0.app/templates
How to prompt with v0: https://vercel.com/blog/how-to-prompt-v0 📬 For more AI news and deep dives, subscribe to The Neuron newsletter: https://theneuron.ai 🎙️ New to streaming or looking to level up? Check out StreamYard and get $10 discount! 😍 https://streamyard.com/pal/d/5214856690925568

A team of former Google DeepMind researchers just raised $2B to build America's answer to DeepSeek. In this episode, we sit down with Ioannis Antonoglou (Yannis), co-founder and CTO of Reflection AI, who helped create AlphaGo—the AI that beat the world champion in the game of Go back in 2016.

Yannis breaks down what Reflection is building, why they're releasing frontier-level AI models as open-weight, and how mixture-of-experts architecture lets massive models run efficiently. We dig into reinforcement learning, the US vs. China open source gap, sovereign AI, coding agents, and why open science might be the fastest path to the most powerful AI on the planet.

Reflection AI: https://www.reflection.ai
Reflection AI raises $2B at $8B valuation (TechCrunch): https://techcrunch.com/2025/10/09/reflection-raises-2b-to-be-americas-open-frontier-ai-lab-challenging-deepseek/
Previous Neuron coverage of DeepSeek: https://www.theneuron.ai/newsletter/deepseek-returns https://www.theneuron.ai/newsletter/10-wild-deepseek-demos

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