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.

We keep hearing it. "AI will enhance jobs, not replace them." It's the same reassuring mantra repeated by CEOs, consultants, and optimists everywhere. But I've spent the past three years building AI applications in voice and chat as a Chief AI Officer. I've watched the technology evolve from impressive to devastating. And I need to tell you something nobody wants to hear: They're lying to you. Or worse, they actually believe it. The "AI will enhance not replace" narrative is exactly like saying automobiles would enhance horses, not replace them. Sure, technically true in the narrowest sense, some horses still exist. But we didn't need 20 million horses in 1900 to become 20 million "enhanced" horses in 1950. We needed about 3 million. The other 17 million? Gone. Except this time, you're the horse. The Numbers Don't Lie, They Scream October 2025 just became the worst month for job cuts in over 20 years. Companies announced 153,074 layoffs, almost triple the same month last year. This isn't a blip. This isn't a correction. This is the beginning. By July 2025, over 130,000 tech workers had already lost their jobs. The year isn't even over and we've seen more than 806,000 total job cuts announced, the highest figure since 2020. But here's what should terrify you: these aren't struggling companies. Microsoft posted $70.1 billion in revenue (up 13%) while cutting 15,000 jobs. Cisco reported a 5% revenue increase and then laid off hundreds. Intel is eliminating 15% of its entire global workforce, not because they're failing, but because they're "optimizing." The pattern is clear: profit is up, humans are out. What's Really Happening Behind the Press Releases Let me give you the translation guide for corporate-speak: When Amazon CEO Andy Jassy says AI will lead to a "reduction in corporate workforce," he's not talking about restructuring. He's talking about 14,000 middle managers being shown the door. When Microsoft mentions GitHub Copilot writing 30% of new code, they're explaining why they don't need thousands of engineers anymore.

STEP 1: Hey, I’m really glad you’re here. My goal is to empower 1,000,000 people to use AI and automation to gain time freedom and financial independence before ASI arrives (check this out)! Whether you’re looking to simplify your life, grow a business, or just understand how this technology can support you, this is a space where you'll get the tools, support, and encouragement to make it real. A little about me: I’ve started and sold an ecommerce business that made millions, built a top 15 iPhone app, sold SaaS products, and recently won the VAPI AI Voice challenge. So wherever you're at — starting from scratch or scaling up — I can help. Most importantly, I’m here to encourage you, teach you, and make sure you’re not doing it alone. Post a quick hello and let me know what you’re working on or thinking about. I’ll respond and help however I can because I care about your success. Let’s build cool stuff together. STEP 2: Now read this if you are stuck or not sure where to begin... https://www.skool.com/aititus-2906/stuck-not-sure-where-to-start-heres-what-to-do?p=775a09d7 PS If you want free N8N access (unlimited) check this out https://aititus.com/free-n8n

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.

Alright, so you signed up for ChatGPT. Now you're staring at that empty box thinking "...what do I even ask this thing?" I've been there. We've all been there. Here's what nobody tells you: your first conversation with ChatGPT can either make you go "oh WOW" or "...I don't get it." The difference? Knowing exactly what to type. So I'm going to give you three prompts. Copy them. Paste them. Watch what happens. These are designed to show you what AI can actually DO for you, not just talk about it. Prompt 1: Turn your messy thoughts into clarity (Use this when you're stuck on something) --- I'm trying to figure out [what you're stuck on]. I have all these thoughts but they're jumbled. Can you ask me 3-5 questions to help me think through this more clearly? Ask one question at a time and wait for my answer before asking the next one. --- Why this works: ChatGPT becomes your thinking partner. You'll actually organize your thoughts while talking it through. === Prompt 2: Learn anything faster (Use this when you need to understand something) --- I want to learn about [topic]. Explain it to me like I'm curious but completely new to this. Use simple examples and analogies. Then give me 3 questions I should ask to deepen my understanding. --- Why this works: You get a clear explanation AND it teaches you how to keep learning. Game changer. === Prompt 3: Save yourself hours (Use this for any task you're dreading) --- I need to [task you don't want to do]. Can you break this down into simple steps and give me a template or starting point to make this easier? --- Why this works: ChatGPT does the heavy lifting. You just fill in the blanks and customize. Here's what to do right now: Go to ChatGPT. Pick ONE of these prompts. Copy it. Paste it. Fill in your specific situation. Hit enter. That's it. You just had your first real conversation with AI. And here's the coolest part: the more you use it, the better you get at knowing what to ask. These three prompts are just the beginning. They're your training wheels.