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milofeynman

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It's load shedding, but it's weighted towards people abusing their quota usually over some rolling weighted average. The benefit is that they are dropped immediately at the edge rather than holding sockets open or using compute/resources. It usually takes 30s-1m to kick in.

The problem here is the infrastructure required to demo the changes to the user. Like yeah you made a code-change, but now I have to pull it, maybe setup data to get it in the right state, check if it's functioning how I want it to. Looking at the code it produced in a diff can waste a lot of your time if it doesn't even work as expected.

Using cline for a bit made me realize cursor was doomed. Everything is just a gpt/anthropic wrapper of fancy prompts.

I can do most of what I want with cline, and I've gone back from large changes to just small changes and been moving much quicker. Large refactors/changes start to deviate from what you actually want to accomplish unless you have written a dissertation, and even then they fail.

ElevenReader 1 year ago

This raises an interesting question around the rights of the author/publisher and who they sold their ebook rights to. If in 3 years we have a perfect AI voice that can read any book as good or better than mid-level narrators, why would you ever buy an audiobook when you could just buy the ebook and pick your voice(s). What a time to be alive

Meta 3D Gen 2 years ago

Autodesk has been building practical 3d models for years with generative design. I have to imagine it's only getting better with these recent advances, but I'm not immersed in the space.

I applied to a certain scraping fintech in the Bay Area around 5 years ago and was asked to open the Wikipedia page to k-means squared clustering and implement the algorithm with tests from scratch. I was applying for an android position. I still laugh thinking about how they paid to fly me out and ask such a stupid interview question.