Worth reading and keeping an eye on.. Introducing Nested Learning: A new ML paradigm for continual learning We introduce Nested Learning, a new approach to machine learning that views models as a set of smaller, nested optimization problems, each with its own internal workflow, in order to mitigate or even completely avoid the issue of “catastrophic forgetting”, where learning new tasks sacrifices proficiency on old tasks. The last decade has seen incredible progress in machine learning (ML), primarily driven by powerful neural network architectures and the algorithms used to train them. However, despite the success of large language models (LLMs), a few fundamental challenges persist, especially around continual learning, the ability for a model to actively acquire new knowledge and skills over time without forgetting old ones. When it comes to continual learning and self-improvement, the human brain is the gold standard. It adapts through neuroplasticity — the remarkable capacity to change its structure in response to new experiences, memories, and learning. Without this ability, a person is limited to immediate context (like anterograde amnesia). We see a similar limitation in current LLMs: their knowledge is confined to either the immediate context of their input window or the static information that they learn during pre-training. The simple approach, continually updating a model's parameters with new data, often leads to “catastrophic forgetting” (CF), where learning new tasks sacrifices proficiency on old tasks. Researchers traditionally combat CF through architectural tweaks or better optimization rules. However, for too long, we have treated the model's architecture (the network structure) and the optimization algorithm (the training rule) as two separate things, which prevents us from achieving a truly unified, efficient learning system.

*shoutout to @Titus Blair for the inspo on this one so you just joined ai automation society. you see the 100+ n8n templates, 190k members, nate’s perfect hair in the banner... and your brain goes: “ok cool but uh… what do i do now?” same. skool feels weird at first because it’s not tiktok, it’s not discord, and it’s not a promo feed for your latest “dm me for details” offer. here’s the game: - you level up by being useful - you’re useful when people like what you share - people like what you share when it actually saves them time, money, or brainpower that’s literally it. the xp here is “i helped another human.” the real “secret sauce” everyone thinks they need: - the craziest custom n8n workflow - a 40 step funnel - a notion dashboard that looks like nasa mission control nah. you grow in this community by doing something way less sexy: - show up to give, not to farm. things that work stupidly well here: - answering “basic” questions without being condescending - posting your tiny wins, not just your giant case studies - sharing the one automation that saved you 3 hours this week - dropping your actual workflow screenshot plus a 2 line explanation - owning your L’s. “i broke a client’s crm with this node, here’s what i learned.” when people feel like “oh wow this person actually cares if i win,” the likes, dms, and levels follow. how the level system really feels from the inside see that little number next to your name? that’s basically your “i’m useful here” score. you don’t increase it by: - commenting “fire bro” on 47 posts - pasting the same generic advice over and over - dropping links to your youtube on every thread you increase it by leaving digital breadcrumbs of value everywhere you go. good gut check: “if future me was scrolling this group 3 months from now, would this still help me?” if yes, post it. if no, save it for your private journal lol. what great posts look like in this group

I am looking for someone who is an expert at Dev Ops for N8N self hosted. I want to add in some level of redundancy, deal with usage issues we may have with high usage and optimize the performance etc. Experts only no beginners please. Please ping me if interested!

Let's get to know each other! Comment below sharing where you are in the world, a career goal you have, and something you like to do for fun. 😊

Okay, so you just joined this community and you're looking at Skool thinking... what now? How does this actually work? And how do some people seem to level up so fast? Here's the thing: Skool is different from other platforms. It's not about who posts the most or who has the flashiest content. It's about who actually helps people by getting likes. And that's honestly refreshing. Let me break down what I've learned (because I'm still figuring this out too, but these things have made a huge difference). How Skool Actually Works You've got levels. You see that number next to your name? That goes up when you contribute value to the community and people like what you do. Every time you post something helpful, answer a question, or engage meaningfully, you earn points when people like it. More points = higher level = more visibility in the community. But here's what really matters: the points are just a reflection of how much you're helping others. That's it. The system rewards generosity. The Leveling Up Secret (It's Not What You Think) I see people trying to "hack" their way up with tons of posts or constant comments. It doesn't work. You know what does? Show up to give, not to get. Answer questions from beginners even if they seem basic. Share what's working for you. Celebrate other people's wins. Drop a helpful resource when someone's stuck. Be the person you needed when you were starting out. Seriously, the people who rise fastest are the ones who forget about levels entirely and just focus on being genuinely helpful. What Great Content Looks Like Here You don't need to write novels or create complicated tutorials. Some of the best posts I've seen are simple: A quick win someone can try today. A tool that saved you hours (with how to use it). A prompt that actually works (copy and paste ready). A mistake you made and what you learned. An answer to a question you see asked repeatedly. Make it practical. Make it actionable. Make it beginner-friendly. That's the formula.