There’s a mysterious new model called Ox Alpha causing a storm right now, and nobody even seems to agree on who actually built it. People are testing it for coding, design, agents, and full software projects, and the crazy part is how accessible these models are becoming. This is one of the biggest reasons I wanted to build this community in the first place. If AI gets to the point where almost anyone can build software for free—or close to free—then simply being able to build software isn’t the moat anymore. The valuable part becomes knowing what to build, how to use these tools, how to distribute what you make, and having a community of people learning and building alongside you. A year ago, access to a really powerful coding model felt like an advantage. Now a random mystery model can appear overnight and suddenly thousands of people have access to another insanely capable developer. That makes me even more bullish on community > individual software products. Software is getting cheaper to create. Knowledge is getting cheaper. Models are getting better every month. But trust, relationships, distribution, and a group of people actually implementing this stuff together are much harder to commoditize. That’s what I want this Skool to become: not just a place where I post AI news, but a group where we find things like Ox Alpha early, test them, share what actually works, and use them to build real stuff before everyone else catches up. Resources OpenRouter — explore and compare AI models: OpenRouter Models OpenCode — open-source AI coding agent that can connect to models from many different providers: OpenCode Curious what everyone thinks: if building software keeps getting cheaper, what becomes the actual moat?