New video up. Google just committed $40 billion to Anthropic. The number got the headlines. The infrastructure underneath got ignored. That's where the actual story is. I broke down the deal: $10B cash, $30B in milestone payments, and 5 gigawatts of compute running on Google's own TPUs. Anthropic now sits inside Google's stack the same way OpenAI sits inside Microsoft's. Three companies (Microsoft, Amazon, Google) effectively own every frontier lab. The AI cartel is no longer a metaphor. The takeaway is platform risk. If you're building anything serious on a single model vendor, you're one terms-of-service change away from a rebuild. The 70/30 rule keeps you shippable. https://www.youtube.com/watch?v=Wiq47uNqkgM

New video up. Playwright MCP is the free, open-source connector that gives Claude Desktop full control of a browser — opening tabs, clicking buttons, filling forms, scrolling, and extracting data autonomously. In this one I walk through the setup, run it through a few real flows, and show where it actually saves time vs where it's still rough around the edges. If you're running any kind of manual portal work (NDIS dashboards, referral systems, lead enrichment), this is the cleanest way to hand it off to AI without paying for a closed platform. Ten minutes, all signal. https://www.youtube.com/watch?v=H2bLDhwyNCk

New video up. DeepSeek V4 just dropped — open source, 1M token context, 75× cheaper than GPT-3.5. In the video I run both Flash and Pro through 70-page document analysis, Python script generation, and wiring into automation via OpenRouter. If you're building anything where token cost is the bottleneck, this changes the maths. https://www.youtube.com/watch?v=3RIN092Vvcs

New video up — ChatGPT Images 2.0 vs. NanoBanana 2. Ran both against identical prompts across product shots, character consistency, text rendering, and edits. Recorded the actual outputs, not the launch-post demos. If you're building any image workflow right now, worth 16 minutes before you commit to a provider. https://www.youtube.com/watch?v=dX1jkh7dQmM

If an internal-only AI model can rip through real-world codebases, find thousands of zero-days, and quietly harden the backbone of the internet, the game just changed for anyone running critical systems. This isn't just AI "news" — it's the start of AI-led security and compliance audits becoming mandatory, not optional. In the video, we cover: • What Claude Mythos is, how it differs from Claude Opus and other public models, and why Anthropic won't release it. • How it discovered a 27-year OpenBSD bug, a 16-year FFmpeg flaw, and thousands of other vulnerabilities in weeks. • What Project Glass Wing is, and why partners like AWS, Apple, Google, Microsoft, Nvidia, JP Morgan, Cisco and others are involved. • How builders and agency owners should be thinking about AI-driven security, compliance, and risk for their own systems and clients. https://youtu.be/zgT0_wkyQZY Drop your takeaways or questions in the comments — especially how you think this shifts the roadmap for AI tools in regulated spaces.