> In an age where everyone has access to AI, AI-written code has zero value
Yes, which is why I didn't post it to HN as a project. I posted this as an aside because I think it's an interesting way of showing that you can use AI in ways that other people just won't (i.e. I implemented the 3001 and FAA readability standards here). link
https://github.com/areoformed/Re-Kindled/blob/main/code/TYPO... (I added the link to the comment too!)
> You should share the prompt or ask your agent to write a document other people’s agents can use to reimplement the code from scratch and/or customize to their specific needs.
It's about raw environmental efficiency?
It took more than 40+ hours of iterations to get this right. Let's say 10 people check this out because of the HN post. That's now 400+ hours to get to the same end point.
I am not sure how large the model is, but let's say it takes roughly 16 B200s to serve, then the total load is ~14kWhr. 5,600KWhr, which is roughly half the energy a house uses in a year.
If a 100 people try it. That becomes 5 houses...
This isn't a single-shot prompt. It's more energy efficient to do it this way. Why do you want to burn 40+ hours of compute to get to the same end when you can extend from working code?
It took more than 40+ hours of iterations to get this right. Let's say 10 people check this out because of the HN post. That's now 400+ hours to get to the same end point.
I am not sure how large the model is, but let's say it takes roughly 16 B200s to serve, then the total load is ~14kWhr. 5,600KWhr, which is roughly half the energy a house uses in a year.
If a 100 people try it. That becomes 5 houses...
This isn't a single-shot prompt. It's more energy efficient to do it this way. Why do you want to burn 40+ hours of compute to get to the same end when you can extend from working code?