What if the next breakthrough in AI isn’t another model—but a universal protocol? In this episode, we explore GPT-4’s powerful new image editing feature and how it’s reshaping (and threatening) entire categories of AI apps. But the real headline is MCP—the Model Context Protocol—which may redefine how language models interact with tools, forever.From collapsing B2C AI apps to the rise of protocol-based orchestration, we unpack why the future of AI tooling is shifting under our feet—and what developers need to know now.Key takeaways:How GPT-4's new image editing is democratizing creation—and wiping out indie toolsThe dangers of relying on single-feature AI apps in an OpenAI-dominated marketPrivacy concerns hidden inside the convenience of image editing with ChatGPTWhat MCP (Model Context Protocol) is, and how it enables universal tool accessWhy LangChain-style orchestration may be replaced by schema-aware, protocol-based AI agentsReal-world examples of MCP clients and servers in tools like Blender, databases, and weather APIsFollow the show to stay ahead of emerging AI paradigms, and share this episode with fellow builders navigating the fast-changing world of model tooling, developer ecosystems, and AI infrastructure.References:Model Context ProtocolIntroducing the Model Context Protocol \ AnthropicModel Context Protocol (MCP) - Anthropic

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