Not because the tech was bad. The tech was great. But I was solving problems I thought people had, instead of the one problem that actually kept them awake at night. Here's the constraint I finally identified (and it's probably yours too): Most people don't need "AI." They need results without the rental fees. --- That's why I built the classroom the way I did. Not as a library of "cool AI stuff." As a step-by-step path from "I pay monthly for AI" to "I own the stack, the data, and the outcome." The core course — Be Practical — now has 14 playbook folders inside it. Each one is a complete business system you can run offline: Model Mogul, Autopilot Empire, The Silent Sales Engine, Fast Credit, Open-Oracle, The Prompt Millionaire, AI Arbitrageur, The AI-Assisted Agency, The Exit Strategy, The Data Dominance Playbook, Content Cascade, Custom Models & GPTs, Mastering Offline Voice AI, Building Applications with Ollama. Plus the full foundation stack: Private AI Foundations → AI Agents 101 → MCPs 101 → Automation 101 → Vibe Coding 101 → Making Money with Offline AI → AI for Business. --- If you haven't clicked through the classroom in a while, there's a lot more in there now. The question isn't "do you have time to learn this?" The question is: what's the ONE constraint in your business that, if removed, makes everything else easier? If that constraint is "I don't own my AI stack" — the path is already built. Drop a comment with your biggest bottleneck. I'll point you to the exact playbook that solves it.

Classic question I get all the time. It's like asking whether I should have mcdonalds, kfc, taco bell or burger king for lunch? really depends on your levels of: - Hunger - Comfort - Trust - Convenience - and so much more perhaps. It's the same with choosing your go to AI engine: - Hunger - Pick the engine that speaks out to you the most. The one you can't stop thinking about. - Comfort - Pick the engine that speaks to your comfort zone rather than making you feel out of your depth. - Trust - Pick the engine that YOU trust the most. Not what the community trusts. - Convenience - Pick the engine that is so simple and easy for you to use that you can do it in your sleep (and most likely will at some point lol). For me, it's always llama.cpp. For you it might be something different. The reality is, it doesn't matter what burger you use. So long as it satisfies your needs :)

What's going on these days with AI Agents? They're evolving like no tomorrow! And to keep up with this evolution, we've updated our AI Agents 101 course JUST FOR YOU :) Check it out in the classroom when you get a chance! Happy building :D

Big month in open source AI. Here's what caught my eye: 1. IBM dropped Granite 4.1 - An 8B model matching 32B MoE performance. Smaller, faster, cheaper — and it's open source. This is the kind of efficiency gains we're talking about when we say "own your AI." https://firethering.com/granite-4-1-ibm-open-source-model-family/ 2. Zig project says no to AI contributions - The Zig programming language officially banned AI-generated code from their project. Does "open source" mean human-only contributions? This conversation isn't going away. https://simonwillison.net/2026/Apr/30/zig-anti-ai/ 3. PyTorch Lightning malware (Shai-Hulud) - Someone shipped themed malware through the PyTorch Lightning AI training library. Check your dependencies, even the popular ones. Supply chain attacks are getting smarter. https://semgrep.dev/blog/2026/malicious-dependency-in-pytorch-lightning-used-for-ai-training/ 4. Claude Code vs OpenClaw drama - Anthropic's coding tool started refusing requests or charging extra if your commits mention "OpenClaw" (an open source competitor). Paid AI locking out open source. Sound familiar? https://twitter.com/theo/status/2049645973350363168 5. Fine-tuning can unlock copyrighted content - Research showed that fine-tuning on specific data can make LLMs recall copyrighted material. Alignment whack-a-mole continues. https://github.com/cauchy221/Alignment-Whack-a-Mole-Code 6. Mike: open-source legal AI launched - Legal AI going open source. Another domain getting the open-source treatment. https://mikeoss.com/ What was your favorite April AI story? Drop it below 👇

Hey Open Source AI Builders, If you're new here, it's time for an intro! Our community is powered by Hamish Aman Prakash – a recognized force in Australia's AI and tech ecosystem. Here's why you can trust the guidance, insights, and vision you'll find in this group: - Hamish is a *4-time award-nominated entrepreneur* in technology and artificial intelligence, known for pioneering projects in automation, open source, and local AI solutions. - He's built A-Tech from the ground up – delivering real AI products, consulting for businesses regionally and nationally, and championing a privacy-first, "own your AI" approach through Project Infra. - Hamish is constantly featured across platforms (including LinkedIn: linkedin.com/in/hamishfromatech), sharing innovations, practical demos, and leadership in AI adoption. - His influence and impact have made him a thought leader in Australia's AI community—bridging the world of no-code/builders and real technical mastery. - As a founder, mentor, and teacher, Hamish helps others scale with AI, break down technical barriers, and access life-changing opportunities in an AI-driven future. Let's welcome new members, share our stories, and always aim higher—knowing we're learning from the best in the business. Leave your questions for Hamish below, or connect with him directly to learn more about his journey! 🚀