Reminds me of some code I saw running in production. Every time we added a new entry, we were pulling all the UUIDs from this table, generating a new UUID, and checking for collisions up to 10 times.
Given that providers of open source models can offer Kimi K2.5 at input $0.60 and output $2.50 per million tokens, I think the cost of inference must be around that. We would still need to compare the tokens per second.
There's a program called Hilo [1] in Québec where it's using the Hydro-Québec Rate Flex D [2] to automatically stop the heating during peak demand.
> With Rate Flex D, you can save quite a bit of money, since most of the time in winter, you’ll be charged less than the base rate, except during occasional peak demand events, when you’ll be charged more than the base rate.
From Wikipedia:
"The concentration of active psilocybin mushroom compounds varies not only from species to species, but also from mushroom to mushroom inside a given species, subspecies or variety. The same holds true even for different parts of the same mushroom. In the species Psilocybe samuiensis, the dried cap of the mushroom contains the most psilocybin at about 0.23%–0.90%. The mycelium contains about 0.24%–0.32%."
So for 3.5g ≈ [8.05mg ; 31.5mg]
And for 2.5g ≈ [5.75mg ; 22.5mg]