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.
Don't trust the NIH with your health. They're the reason the mass majority of Americans are deficient in vitamin d, potassium, magnesium and a bunch of other vital vitamins/minerals, primarily due to faulty research done 50 years ago and never updated.
Humans spent thousands of years out in the sun on a daily basis growing crops and hunting. They never got a vitamin D overdose and were in fact much healthier than you and I.
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.
I built this for my own needs, and thought others might find it useful too.
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