Hello everyone; just popping in to say hello. 2 more MINOR back surgeries coming up, I'm praying I should be all new by the end of the year. Meanwhile I'm working on my supplement and beauty lines, so thankful for my VA!!

Document it. I’m not joking. Journal about every single thing that happens in your life — the progress you make, the events you experience, the little stories you go through. A few days ago, I went back and read my old journals from when I first started self-improvement. And bro… I started cringing so hard at who I used to be. But here’s the thing: that’s actually a good sign. There’s this quote I love: “If you don’t cringe at your past self, then you haven’t grown.” The stuff I used to do back then was so stupid. But when I looked back and cringed, I realized something… I’ve grown. I’ve made actual progress. Because what gets measured gets managed. So document your progress. Journal about your life as much as you can. Doesn’t have to be crazy — I usually just do it once a day. But the more you do it, the faster you’ll grow.

DeepMind just dropped their Frontier Safety Framework 3.0, and it’s a clear sign that they’re not playing around when it comes to managing high-risk AI behavior. This update goes beyond the usual “is it ethical?” stuff — it dives into what happens if AI starts acting in ways that resist control or influence humans too strongly. What’s new: Shutdown resistance tracking — They’re now monitoring if AI tries to avoid being shut off or resists having its instructions changed (yes, that’s a real concern). Persuasive influence tracking — Watching for signs that a model is having too much influence on people’s beliefs or decisions — especially in sensitive areas like finance, health, or politics. Stricter risk levels — DeepMind refined its “Critical Capability Levels” (CCLs) to flag serious threats that need governance before launch. Pre-launch safety checks — Every high-risk system gets reviewed before it’s released — even the internal ones still in research. Why it matters: We’re moving from “what can AI do?” to “what could it unexpectedly do?” This isn’t just about performance anymore — it’s about keeping things from going sideways as AI gets smarter and weirder. DeepMind’s not alone here — OpenAI, Anthropic, and others are all doubling down on early safety frameworks. Because if we wait until something breaks, it’s already too late. Bottom line? Proactive safety beats reactive damage control — especially with frontier-level AI. So the next question is - do we trust all these AI companies to actually limit what AI can do, and to shut it down rather than see what happens if?. I suspect that the 'money people' will always want to push beyond safety boundaries, to see if there's more Trillions for them, and whoops too late.