The Neuron: AI Explained

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

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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

AI voices can already sound startlingly human. The harder problem is whether they actually understand how humans speak.

Andrew Ettinger, CEO of Hume AI, joins Corey Noles and Grant Harvey to explain why voice AI still has a “listening problem.” A transcript can capture the words someone says while stripping away tone, hesitation, frustration, background noise, dialect, speaker identity, and the other signals that shape what those words actually mean.

The conversation explores how Hume evaluates voice systems against real-world conditions, why emotion is better understood as a high-dimensional spectrum than a handful of neat labels, what breaks during long-running voice interactions, how speech-to-speech systems and AI voice agents could become a primary interface for computing, and what new safety and personalization challenges appear when AI starts talking back.

If you want to understand what has to improve before voice AI feels truly natural—not just realistic—this episode is a practical look at the infrastructure, evaluation, and human feedback behind the next generation of spoken AI.

Subscribe to The Neuron at https://theneuron.ai for more AI news and analysis.

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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=podcastInternet 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

OpenClaw 2.0 just landed, and we’re going straight to the person helping build it. 🦞

This week on The Neuron LIVE, Vincent Koc, Chief Architect of OpenClaw, joins us for a hands-on look at the biggest OpenClaw update yet.

Vincent will demo OpenClaw 2.0, break down what’s new, and show how OpenClaw is evolving from an open-source personal AI assistant into a broader agentic computing platform.

We’ll cover:
🦞 OpenClaw 2.0 and the biggest changes
🖥️ The new OpenClaw experience and easier setup
🤖 Running agents across local machines and cloud workers
📊 Interactive widgets, dashboards, and persistent agent work
⚡ New automations, loops, and approval controls
🧠 Local models, memory, and agent interoperability
🐝 Experimental multi-agent features like Swarm
🔐 Credentials, permissions, and agent security
🔮 Where OpenClaw and personal AI agents go from here

Plus, because this is LIVE, we’ll put your questions directly to Vincent while he walks us through the new release.

Whether you’re curious about OpenClaw, already running your own lobster, or want to see how far personal AI agents have come in 2026, this is one to watch.

Subscribe to The Neuron for practical AI news, analysis, interviews, and demos without the hype.