You can also tell the difference between a skillfully crafted table and kit furniture from Ikea. Both may perform technically equally as well, and there are som

You can also tell the difference between a skillfully crafted table and kit furniture from Ikea. Both may perform technically equally as well, and there are some fantastic examples where Ikea furniture has served as the base for a beautifully crafted piece of art. There's a similar phenomenon happening here - you can use AI to code things, but the craft of it still requires the thoughtful and careful application of domain specific knowledge. AI can even get there, if guided by someone who knows what they're doing. We need more tutorials on how to guide AI, just like tutorials for photoshop used to walk amateurs through producing excellent logos, designs, and graphics. A whole generation of photoshop users learned to master the tools by following and sharing cookie cutter level instructions, then learning to generalize. We should see the same thing happen with AI, except I think the capabilities will exceed the relevance of instructions too fast for any domain skills to matter. If AI coding stagnates and hits a plateau for a couple years, then we'll see human skill differentiate uses of the tool in a pragmatic way, and a profusion of those types of tutorials. We're still seeing an acceleration of capabilities, though, with faster, better models with more capabilities appearing more frequently, ~every 3-4 months. At some point there will be a practical limit to release schedules, with resource constraints on both human and compute sides, and there will be more "incremental" updates, comparable to what Grok is already doing with multiple weekly incremental updates on the backend, and 4-5 major updates throughout the year. Heck, maybe at some point we'll have a reasonable way of calibrating these capabilities improvements and understanding what progress means relative to human skills. Anyway - a vast majority of AI code feels very "cheap Ikea" at this point, with only a few standouts from people who already knew what they were doing.