The Neuron: AI Explained

OpenAI just dropped 20+ announcements at DevDay 2026, so... yeah, we have some things to talk about. 😺

We’re going to break down what OpenAI announced, what actually matters, and what could change how you use AI.

🤖 OPENAI DEVDAY 2026

OpenAI’s biggest reveal was Dots, always-on AI agents powered by GPT-6 Astra. They get their own cloud computer, connect to 4,000+ apps, learn how you work, and keep working in the background.

OpenAI also unveiled ChatGPT Space, collaborative Pages and Slides, Codex in the cloud, the Decisions API, plugin extensions, a $500 Pro plan, and more.

DevDay recap:https://openai.com/index/devday-2026-recap/

Then there’s GPT-6.1 Sol, which OpenAI says gets close to Astra-level performance on coding, computer use, and professional work at roughly one-fifth of Astra’s standard token price.

https://openai.com/index/introducing-gpt-6-1-sol/

📰 AND THAT’S NOT ALL...

We’ll also get into:
⚡ Claude Sonnet 5.5, Anthropic’s faster, cheaper Sonnet update.
🌎 AMD buying Fei-Fei Li’s World Labs for $8.2B.
🛡️ NVIDIA’s new agent safety system with hardware-level monitoring.
🏢 Meta’s new enterprise AI business around Muse, Muse Code, Business Agent, and more.
🤖 Manus 2.0 + Cue, including personal agents with their own computer, phone number, email, and wallet.

🔥 Plus whatever AI news happens before we go live.

What happened? What can you actually use? And are we about to have tiny armies of AI employees running around the internet for us?

Come hang, ask questions, and disagree with us in chat. 👇

🤖 OpenAI DevDay 2026:https://devday.openai.com/

🎥 Official DevDay keynote:https://www.youtube.com/watch?v=Fls_onRviPM

😺 Get The Neuron:https://www.theneuron.ai/

Runway co-founder Anastasis Germanidis explains Solaris, an “interface world model” that generates software frame by frame instead of rendering a traditional interface from HTML and CSS.

The model reacts directly to clicks, drags, and keyboard input, while language models or agents can still handle logic and tool calls behind the scenes. The conversation explores personalized interfaces, local-versus-cloud world-model architecture, robotics simulation, and Runway’s longer-term bet that world models could become a new foundation for software, games, and physical AI.

Relevant Article Links:
• Runway Solaris: https://runway.com/news/research/introducing-solaris
• Solaris paper: https://arxiv.org/abs/2609.00776
• Runway GWM Worlds: https://runway.com/research/introducing-gwm-worlds-2
• Robot policy evaluation: https://runway.com/research/accelerating-robot-policy-evaluation

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Sponsored by Dell Technologies and NVIDIA. Learn more at techrepublic.com/hubs/the-enterprise-guide-to-scalable-ai/.

OpenAI DevDay 2026 is here, and we’re hosting a watch party to watch the keynote LIVE.

Join Grant Harvey and Corey Noles from The Neuron as we react to OpenAI’s biggest DevDay announcements in real time, figure out what’s actually new, and translate the demos into what they mean for the rest of us.

📅 OPENAI DEVDAY KEYNOTE:
Tuesday, September 29
10:00 AM PT / 12:00 PM CT / 1:00 PM ET
Featuring Sam Altman

We’ll be following OpenAI’s stream and weighing in as everything gets announced.

New models? Agents? Developer tools? Something completely unexpected?

Whatever OpenAI ships, we’ll break it down, explain the demos in normal-person English, and call out what actually matters.

What to expect:
🤖 Live reactions to OpenAI’s biggest DevDay announcements
🧠 Plain-English explanations of what each new model, tool, or API actually does
💼 What developers, businesses, and everyday AI users should pay attention to
🔍 Our take on what matters versus what just looks good in a demo
👀 The inevitable Grant + Corey speculation when OpenAI shows something weird

Official OpenAI DevDay page + livestream:https://devday.openai.com/

Get our full AI news breakdown in The Neuron:https://theneuron.ai

Corey and Grant sit down with Mammoth Biosciences co-founder and CEO Dr. Trevor Martin to explain how CRISPR is moving from a laboratory tool toward one-time medicines.

Trevor breaks down how Mammoth searches massive biological datasets for new CRISPR systems, why AI is useful but still constrained by missing clinical data, and what it would take to build a feedback loop between AI models, wet labs, and human trials. The conversation also covers personalized medicine, the economics of one-time cures, organoids, and why a medical breakthrough may be the clearest way for AI to prove its value to the public.

Mammoth Biosciences - https://mammoth.bio

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

Sponsored by Mercor: Check out the AI Productivity Index (APEX) here: https://www.mercor.com/apex/?utm_source=neuron&utm_medium=podcast&utm_campaign=apex&utm_content=10_7

Sponsored by Outshift:“Scaling Out Superintelligence” Vijoy Pandey, January 2026. The technical whitepaper detailing the Internet of Cognition architecture, three-layer stack, and cognition state protocols. https://outshift.cisco.com/internet-of-cognition/whitepaper?utm_campaign=fy27q1_outshift_ww_paid_ioc-neuron-wp_podcast&utm_channel=podcast&utm_source=podcast

Internet of Cognition Interactive Demo Clickable walkthrough showing per-agent activity, intent, context, and collective reasoning across a multi-agent SRE system.https://outshift.cisco.com/internet-of-cognition/explore?utm_campaign=fy27q1_outshift_ww_paid_ioc-neuron-explore_podcast&utm_channel=podcast&utm_source=podcast

GPT-6 Sol, GPT-6 Luna, AND Claude Opus 5.5 all just dropped. So which model should you actually use?

Join Grant Harvey and Corey Noles from The Neuron LIVE today as we put the newest models from OpenAI and Anthropic head-to-head.

OpenAI says GPT-6 Sol makes roughly half as many mistakes as GPT-5.6 Sol, bringing Astra-level reliability to a much cheaper model, while GPT-6 Luna is designed for fast, high-volume work like summarization, extraction, and quick questions. OpenAI is also dramatically cutting prices, with Sol reportedly coming in at $2 / $10 per million input / output tokens and Luna at just $0.10 / $0.50.

Meanwhile, Anthropic launched Claude Opus 5.5 just 90 minutes earlier. Anthropic says it performs around Claude Fable 5.1 level on most work while costing roughly 40% less to run than Opus 5, generating output more than 30% faster, and communicating more clearly. Its API price is $4 / $20 per million input / output tokens.

And the benchmark fight is already spicy: Anthropic reports Opus 5.5 scoring 66.4% on Terminal-Bench 4.0, 54.4% on FrontierCode, and 1,846 Elo on GDPval-AA v2.1, with particularly strong results in coding, computer use, and professional knowledge work.

On the livestream, we’ll break down:
⚔️ GPT-6 Sol vs. GPT-6 Luna
🤖 Claude Opus 5.5 vs. OpenAI’s newest models
💻 Coding, reasoning, writing, agents, and everyday work
💰 Pricing and what it means for AI users
🎯 Which model fits which kind of task
🧪 First reactions and live testing
💬 Your questions from the chat

If you’ve been wondering whether to use GPT-6 Sol, GPT-6 Luna, Claude Opus 5.5, or GPT-6 Astra, come hang out and test them with us.

🔴 LIVE: 3 PM CT / 1 PM PT

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

Models mentioned:

GPT-6 Sol + Luna: https://openai.com/index/introducing-gpt-6-sol-and-luna/Claude Opus 5.5: https://www.anthropic.com/claude-opus-5-5