As we entered 2026, we began seeing skyrocketing prices for storage, RAM, and GPUs. This resembles a mafia-style collusion by big tech on a scale we have never experienced in our lifetimes. This year is a make-or-break moment for how AI will shape humanity for the next millennium. We are witnessing, in real time, major technology companies that produce both software and hardware acting in clear coordination against humanity as a whole. Many would argue that this is “only” a strategic and systematic choking campaign aimed at consumers and prosumers—the middle class—designed to control access to AI computing and force all AI-based workloads into the cloud. This effectively turns every human user into a fully controlled, closely studied beta tester and an unpaid AI trainer, often without direct consent or even awareness. But this is only the tip of the iceberg. AI is here to stay. Nearly all human interactions and actions across devices will soon occur in partnership with AI systems, giant technology platforms, and pervasive surveillance algorithms. We have already seen how little large tech corporations respected copyrights, creative licensing, patents, intellectual property, and other legal frameworks that once allowed individuals to grow, develop, and rise through the social hierarchy—when they vacuumed up vast amounts of human creativity, intelligence, and expression to train their models. The middle class is now little more than a shell, and what remains is being extracted through forced AI integration. Your actions, thoughts, opinions, and clicks are computed in real time, approaching near-total predictability. This means you are increasingly understood, mapped, and rendered predictable in your behavior, potential, and capabilities. In other words, we have crossed from a “store and analyze later” surveillance era into one where data is stored, analyzed instantly, and used to construct a continuous profile of each individual’s past, present, and future self. If you do not demand access to sufficiently powerful local computing—and instead accept being forced into cloud-based AI systems—you must recognize the consequences. You are effectively surrendering what may be your last fundamental human right: autonomy, also known as the right to self-determination.

This dashboard shows what happens when a YouTube channel is built with structure, data, and consistency. 📈 107.3M views in the last 90 days ⏱ 445,000+ watch hours 👥 31,500+ subscribers gained 💰 €10,500+ estimated revenue (All metrics up significantly vs the previous 90 days) This didn’t come from chasing trends or uploading randomly. It came from: • retention-focused content planning • algorithm-aligned titles and angles • staying inside the right recommendation clusters • consistent testing and iteration • treating YouTube as a long-term system Results like this are repeatable when the process is right. This is the same framework I use when managing and scaling YouTube and automation projects for clients who want real, measurable growth—not guesses. If you’re looking for someone to handle your YouTube project professionally, connect with me below. 🔗 Connect With Me / Work With Me 📢 Telegram Channel: https://t.me/ytamasteryhub 💬 Telegram DM: https://t.me/Fortunate00 📱 WhatsApp DM: https://wa.me/qr/S52J3JWZSO4AP1 📺 WhatsApp Channel: https://whatsapp.com/channel/0029VbBZ4qwHQbS18becDm0C 💼 Fiverr Profile: https://www.fiverr.com/abdulwasiu34?source=gig_page

Hey everyone! I’m curious — who here is actively using GoHighLevel (GHL) in their business? Whether it’s for client management, marketing automation, or sales funnels, I’d love to hear how you’re leveraging it. Some questions to get the conversation rolling: - Are you mainly using it for CRM and pipeline management? - Automating SMS, email, or calls? - Running funnels, memberships, or client campaigns? - Any creative hacks or workflows you’ve built that others might not know about? Drop your experiences, wins, and even pain points below! Let’s share ideas and see all the ways GHL can be used to scale businesses efficiently.

Has anyone here actually tried scaling LinkedIn DMs instead of cold email? I’ve been working on this “LinkedIn outreach agent” setup where you give it one prompt and it: – finds leads – sends connection invites + first messages – runs across multiple LinkedIn accounts safely – and keeps costs way lower than the usual tools it kind of feels like what Instantly was for cold email, but for LinkedIn DMs : https://www.scaliq.ai/

Spent the last week compiling a verified list of 25,000+ agency owners in the US with their: ✅ Full names ✅ Email addresses ✅ Company details ✅ LinkedIn profiles This is pure gold for anyone doing cold outreach, offering services to agencies, or looking for partnership opportunities. Normally lists like this sell for $2,915+ on data marketplaces. I'm giving it away free to this community because I know most of you are grinding and can actually use this to land clients. Here's how to get it: 1️⃣ Drop "915" in the comments 2️⃣ Like this post 4️⃣ Make sure you're following me I'll send you the complete list with download instructions. This could literally be the difference between struggling to find prospects and having a pipeline full of warm leads. Don't sleep on this—once this post gets buried, the offer's gone. Let's help each other win