I'm probably wrong about 3 things in this post. So are you.

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Summary

A reflective post on how quickly opinions in AI change, cautioning against rigid beliefs and emphasizing adaptability over perfect prediction.

One thing I've learned from the last 2 years of AI: Be careful getting too attached to your opinions. The AI pendulum swings fast. Really fast. A while ago: → "GPT wrappers are worthless" Now people realize the application layer is where a lot of the value gets created. → "Open source will never catch up" Now open models are good enough for most real-world use cases. → "You need to pick one model and master it" The best builders I know switch models all the time depending on the job. → "Prompt engineering is the future" That title barely lasted a year. → "Computer use is a gimmick" Give it another year and "sent from an AI agent" won't sound weird at all. → "Benchmarks tell you everything" Most founders care more about what works in production than who tops a leaderboard. → "The hard part is building" Honestly? Building has never been easier. Figuring out what people actually want is still the hard part. The funny thing is... I'm probably wrong about a few things in this post too. And that's okay. The people winning right now aren't the ones who perfectly predict the future. They're the ones who adapt faster than everyone else. Keep building. Keep learning. Keep changing your mind when the evidence changes. What a time to be alive.
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