jasfi

I was building a trading indicator with Jev and wanted an intelligent cache to reduce the volume of usage-based API calls. That's when I came up with the idea for CacheV, it's built specifically for that use case, and works with any decision model.

LLMs wouldn't work without learning on massive amounts of text, so using the entirety of human thought and existence is a very practical step. I wouldn't worry about the reselling part, because AI is a race towards the best price/performance. Open weights models are driving the price down a huge amount, making this tech more practical for everyone.

I'm looking for beta testers for Sfactory. Right now it's focused on quality AI writing. Please give it a try if this is of interest to you.

I wrote something similar, but as others have pointed out not having a formal language can be a hindrance.

I played it! Couldn't remember the name but it is the same game as linked to that I do remember.

I've read that you should take K2 if you take D3. You might want to research that. Also 500 IU of D3 is really low.

It's about the ability to combine ideas in novel ways, without breaking the rules in relevant frameworks. Sometimes the idea may even be to contradict existing theories where they are weak.

Hi HN,

I wrote IntentCode to let people write high-level specs in natural language, or directly in pseudo-code (Markdown with guidelines I call the IntentCode).

This is an AI compiler, the IntentCode files get compiled to source 1:1. The examples so far are quite basic (calc CLI app) but prove that the concept is sound.

You can also write extensions, which are mainly skills files for now.

I intend to keep progressing the compiler, so that larger and more complex examples can be implemented.