That part of it though, I think is where, for lack of more precise language, people get stuck. It’s like, again, I watch you use Cursor, it’s like you’re literally, it’s like you’re just nudging the model. And your prompts are not, yeah, it’s that demeanor for the listeners.

You’re just poking it. It’s not these long specs. I’m watching you just be like, can you come up with an app idea?

From Dialectic: 34: Ryo Lu - It’s All the Same Thing, Dec 18, 2025 https://podcasts.apple.com/us/podcast/dialectic/id1780282402?i=1000741808474&r=2988

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You just need to put your soul in this. You need to care about every detail. You need to not accept whatever purple gradient the AI gave you is the end.

Like that is just the beginning. You always start with shit. You always start with slop, with AI.

And then you refine it, you make it better.

That’s the beginning, not the end.

From Dialectic: 34: Ryo Lu - It’s All the Same Thing, Dec 18, 2025 https://podcasts.apple.com/us/podcast/dialectic/id1780282402?i=1000741808474&r=5060

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AI models are trained on all the public knowledge, information and the code that I can see.

And you are trained on the same thing. Like all the books you’ve read, all the fonts that you know, all the artists that you admire, the world around you. And you build that intuition or taste or whatever.

And you start forming an opinion about how you want to shape the world.

And you express it by building.

From Dialectic: 34: Ryo Lu - It’s All the Same Thing, Dec 18, 2025 https://podcasts.apple.com/us/podcast/dialectic/id1780282402?i=1000741808474&r=5133