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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
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.
Sponsored by SAS: Grow faster and scale confidently with trusted AI solutions. Visit www.sas.com/smb
Sponsored by Origin: Origin is endpoint AI observability. See what a trace looks like at https://www.originhq.com/aiexplained
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.
AI infrastructure used to be the part developers were supposed to forget about. What happens when the infrastructure itself starts determining what AI can do
Corey Noles sits down with Chen Goldberg, Executive Vice President, Product & Engineering at CoreWeave, to unpack the systems underneath the next wave of AI. Using CoreWeave’s newly announced multi-rack NVIDIA Vera Rubin NVL72 deployment as a jumping-off point, Chen explains why modern AI infrastructure is no longer just a question of how many GPUs you can get. Compute, networking, storage, cooling, observability, security, and orchestration all have to behave like one enormous machine.
The conversation moves from long-running AI agents and latency to Kubernetes, security guardrails, physical AI, energy constraints, and the changing role of software engineers. Chen also explains why CoreWeave sees AI as a transformational rather than incremental shift — and why making this infrastructure accessible matters if the benefits are going to reach more than a small group of companies and researchers.
For more practical AI news, tools, and analysis, subscribe to The Neuron at https://theneuron.ai.
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
UPDATE: Blog version here https://theneuron.ai/explainer-articles/github-for-beginners-how-to-use-it-with-ai-coding-agents/
GitHub can feel intimidating if you didn’t come up as a developer, especially now that AI coding agents can build software before you’ve learned what a repo, branch, or pull request even is.
That’s why The Neuron is going LIVE with Cassidy Williams from GitHub for a beginner-friendly walkthrough of how GitHub actually works.
📅 Thursday, September 10
⏰ 12 PM CT / 10 AM PT / 1 PM ET
What we’ll cover:
- What GitHub is and why you’d use it
- How to create an account and navigate GitHub
- Repos, pushing, pulling, merging, cloning, and forking
- How to connect AI coding agents to GitHub
- How to safely push and merge code
- How to work on multiple features using worktrees
- Best practices for keeping projects private and organized
- GitHub Actions, key management, deployment, and more
The goal:
Take you from “AI built me an app, now what?” to actually understanding how to manage, collaborate on, and safely ship your code with GitHub.
Cassidy will lead the walkthrough, while The Neuron’s Grant Harvey and Corey Noles jump in with beginner questions and audience Q&A throughout.
🔔 Hit Notify Me so you don’t miss it, and bring your GitHub questions. We’ll be answering them live.
Corey and Grant put GPT-6 Astra through six identical one-shot build tests to see what it can create with almost no follow-up instruction. The episode covers an interactive black hole lab, a Blender scene, a physics game, a photo-to-sci-fi-world reconstruction, a mechanical sound diagnostic prototype, and the latest version of Cat Doom.
The biggest through-line is how much capability now comes out of a single prompt, while the remaining weaknesses show up in taste, UI restraint, game balancing, and reliability.
The episode ends by looking at how far Cat Doom has progressed across models over the past year.
Sponsored by Dell Technologies and NVIDIA. Learn more at https://www.techrepublic.com/hubs/the-enterprise-guide-to-scalable-ai/
Subscribe to The Neuron newsletter: https://theneuron.ai
We’re going LIVE after Apple’s biggest event of the year to break down John Ternus’s first major keynote as CEO and the big question: Is Apple finally entering its AI era?
We’ll unpack what Apple revealed around Siri, Apple Intelligence, and its broader AI strategy, plus what feels different under Ternus.
Then, we’re breaking down a packed day of AI news:
🍎 Apple’s AI era: What the announcements tell us about Apple’s AI strategy.
🧮 OpenAI’s $1M math fight: OpenAI says a massive AI effort made progress on Navier-Stokes, one of mathematics’ Millennium Prize Problems, followed by a fight over credit.
🤖 Meta Muse: Meta launched its personal AI agent with a huge free usage tier.
⚠️ Anthropic’s AI-risk estimate: One Anthropic scientist put the chance of AI causing human extinction above 10.
🔐 Microsoft security: Microsoft patched a record 972 vulnerabilities, including 112 rated critical.
🇺🇸 U.S. vs. Chinese AI labs: U.S. agencies warned that Chinese companies are distilling Western AI systems at an industrial scale.
🎮 Plus, Sam Altman is apparently very excited about an Ocarina of Time remake.
Apple event:https://www.apple.com/apple-events/
OpenAI’s Navier-Stokes claim:https://www.theneuron.ai/news/inside-openais-navierstokes-claim-the-proof-the-ai-effort-and-the-credit-fight/
Meta Muse:https://about.fb.com/news/2026/09/introducing-muse-personal-ai-agent/
Get started with Muse:https://www.theneuron.ai/explainer-articles/how-to-get-started-with-meta-muse/
Microsoft security:https://arstechnica.com/security/2026/09/microsoft-patches-a-record-972-vulnerabilities-112-of-them-critical/
The Neuron:https://www.theneuron.ai/
Subscribe for practical, skeptical, and occasionally unhinged coverage of the AI news that actually matters.
What happens when AI models get powerful enough that the bottleneck stops being the model, and starts becoming the computer, the power grid, or the safeguards around it?
Corey Noles and Grant Harvey break down a packed week in AI, starting with OpenAI’s expected Astra model and the controversy around recurrent-depth reasoning, chain-of-thought monitoring, and critical cybersecurity capabilities. They also dig into Google’s Gemini 3.8 Flash and Flash Cyber, and why benchmark charts increasingly matter less than what a model can actually do in real work.
Then the conversation moves from models to machines: a $399 open-source robot duck, Dyson’s wildly overengineered CameraJet toothbrush, the return of the CPU as AI agents increasingly operate computers directly, and Apple’s increasingly data-center-like Mac Studio hardware for local AI workloads.
Finally, Corey and Grant unpack the fight over AI data centers in Texas, what communities should demand in exchange for hosting them, and why ChatGPT’s advertising business may become a major new piece of OpenAI’s economics.
Subscribe to The Neuron at theneuron.ai for a daily briefing on the AI stories that actually matter.
The Neuron: https://www.theneuron.ai/
The Neuron Academy: https://www.neuronacademy.com/
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