Let's all welcome @Grace Donnally to the Amplify AI Workshop community

I'd like to wish all the other dads out there a Happy Father's Day.

Alright, so Anthropic just dropped a casual 9,000-word essay titled "When AI Builds Itself" and it's... a lot. Basically, they're saying AI is starting to design its own successors and we might need to hit a global "brake pedal" before things get weird. Just to be clear, the timing here is a little bit spicy. They just filed for a $1 trillion IPO and "accidentally" dropped a major safety commitment right before telling us the world might end. HERE IS THE WILD PART So, human engineers aren't even doing the heavy lifting anymore. Here is what's happening over at Anthropic HQ right now: ✅ 80% of Anthropic's code is now being written by Claude. ✅ Engineers are shipping 8x more code than they were before 2025. ✅ They are officially warning about "recursive self-improvement" (AI building better AI). Okay, so we're either looking at a genuine SOS from the smartest people in the room, or this is the most expensive marketing hype-train in history to pump that IPO valuation. I broke down the whole "Brake Pedal" vs. "Trillion Dollar Hype" debate in our latest blog post. You should probably check it out before the robots take over the keyboard. 👉 Read the full breakdown at: https://amplifyaiworkshop.blog/anthropic-recursive-self-improvement/ What do you guys think? Is Jack Clark actually worried about the AI singularity, or is this just a really fancy way to justify a $1 trillion price tag? Let's talk about it in the comments.

Anthropic dropped something wild. Project Glasswing revealed that Claude Mythos Preview — a frontier AI model they kept from public release due to dual-use concerns — has autonomously identified over 10,000 high- or critical-severity vulnerabilities across the world's most important software. Major findings include a critical WolfSSL flaw (CVE-2026-5194, CVSS 9.1) affecting billions of devices. Cloudflare reported 2,000+ flaws found with a false-positive rate "better than human testers." The model is restricted to ~50 partner organizations, sparking urgent debate about when such capability should be more broadly trusted. This isn't a theoretical AI security scanner. This is a model that was deemed too risky to release publicly, yet it's outperforming professional security researchers at finding zero-days in production infrastructure. The question isn't whether AI can find vulnerabilities anymore. It can. The question is what we do with that capability now. Full breakdown coming soon — what this means for developers, security teams, and anyone who uses the internet. Here's the full blog post

One of the tools that I created just for me is a Skool Post Generator. Don't let looks deceive you. There is a LOT going on behind the scenes with this tool. It has my writing style and persona and uses one of my Gemini API keys to write most of my Skool posts for me so that I don't have to sit there and spend so much time being creative. I normally don't like content generators except if they read like I write. I created it as a timesaver. It also scrapes URL that I give it to help summarize the information into a post that is acceptable. That said...WHAT IF I created a version that includes the private Git repository and config parameters where YOU can use your own API key and persona? I'll even give you some training on how to create a writing persona (i.e. - your writing voice) so that you can give it a brain and personality that sounds like you. I'm not going to just give away but I will let you name your price for it. Let me know your thoughts before I make it portable for others to use. P.S. - Almost every post I've written in this community over the last few months is produced using this tool.