ggauravr

Thanks for this. This is exactly the spirit in which I wrote it.

You hit on the key constraint: time. The point isn't that the use of LLMs specifically provides agency, but that it lowers the barrier, allowing us to build things that bring it. "Perfect software" is perfect not just because of what they do, but because of what it lacks (fluff, tracking, features we don't need).

That is a fair distinction.

However, I don’t think using LLMs has to be an all-or-none proposition. You can still choose to build the parts you most care about yourself (where the learning happens) and delegate the other aspects to AI.

In the case of the text justifier, it was a small nuisance I wanted solved with very little effort. I didn't care about the browser APIs, just the visual outcome, so I let the LLM do it all.

If I were building something more complex, I would use LLMs much more mindfully. The value is in having the choice to delegate the chores so you can focus on the craft where it matters to you.

While we might value the process differently, the broader point remains that these tools enable people to build things they otherwise wouldn't have the time or specific resources to create, and still feel a sense of agency and ownership.

From Pocket, I went to Readwise/Reader, but got frustrated by how ugly it is and by the fact that it hasn't changed one bit over the years I've been using it. Went super basic - now I use email. I send all my bookmarks to [email protected]!

A deep dive into serialization and why it matters for analytics

Thank you for reading!

will try it out to see if there's anything in store for a beginner in Machine Learning !