BONUS: OpenClaw 2.0 with Chief Architect Vincent Koc

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 chatIf 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 PTSubscribe to The Neuron newsletter: https://theneuron.aiModels 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/smbSponsored by Origin: Origin is endpoint AI observability. See what a trace looks like at https://www.originhq.com/aiexplainedSponsored 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 herePlus, 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 doCorey 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 ETWhat 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 moreThe 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/

Anthropic just released Claude Fable 5.1, its newest frontier model for long-running coding, research, and agentic work.So naturally, we’re putting it to the test LIVE. 🤖Early testing suggests Fable 5.1 is faster, easier to work with, and capable of handling massive coding projects, long-form writing, and autonomous agent tasks more efficiently. Every even found that it used less than half as many tokens as Opus 5 in one internal test.But it has some quirks too. It can blow past word counts, create unnecessary subagents, and occasionally keep working when you tell it to stop.Today, Grant and Corey from The Neuron are testing those claims for themselves.We’re putting Fable 5.1 through:🧠 Complex research and knowledge work💻 Coding and long-running agent workflows✍️ Writing, editing, and instruction following🤖 Autonomous tasks where Claude runs on its own🛑 Constraint, budget, and STOP tests🆚 Whatever else the live chat wants us to tryAnthropic also cut cached-input pricing by 75%, potentially making long-running Claude agents significantly cheaper to operate.Can Fable 5.1 actually become the model you hand a giant task and walk away from?Let’s find out live.UPDATE: Our write-up on this livestream, with time-stamps: https://theneuron.ai/news/claude-fable-5-1-can-do-the-work-the-hard-part-is-managing-it/🔗 Anthropic announcement:https://www.anthropic.com/claude-fable-and-mythos-5-1🔗 Every’s Fable 5.1 Vibe Check:https://every.to/vibe-check/fable-5-1-vibe-check📩 Subscribe to The Neuron for AI news, tools, and practical experiments without the hype:https://theneuron.ai/

AI companies spend enormous effort making models safer, but the model tested in the lab isn't necessarily the system a company eventually deploys. Alice CEO and co-founder Noam Schwartz joins Corey and Grant to explain why prompts, tools, memory, permissions, data, and agent-to-agent interactions create an entirely new security surface. They dig into the growing “trust gap” around enterprise AI, why prompt injection may become a permanent cat-and-mouse game, what open-weight models change for defenders, and why Schwartz believes the real security boundary has to exist at every layer of an AI system. The bigger takeaway: as AI moves from answering questions to taking actions, traditional cybersecurity may need to merge with fraud prevention, threat intelligence, and trust and safety.OpenAI security incident: https://openai.com/index/hugging-face-model-evaluation-security-incident/Alice: https://alice.io/Alice on agentic AI security: https://alice.io/blog/key-security-risks-posed-by-agentic-ai-and-how-to-mitigate-themAlice open-weight research: https://alice.io/blog/okay-here-is-how-to-build-a-bomb-millions-download-dangerous-llmsSubscribe to The Neuron newsletter: https://theneuron.aiSponsored by Dell Technologies and NVIDIA. Learn more at https://www.techrepublic.com/hubs/the-enterprise-guide-to-scalable-ai/