Releasing open source models can drive revenue away from them US AI LABS. This can help china win by depriving those labs of revenue for further investment in winning the long term race.
This uses separate git worktrees. If we have a local dev setup involving multiple docker services, is there a recommended solution for managing those envs? I didn't see.
A common use of asyncio is a server framework like fastapi that schedules tasks. I used such a framework for a while before realizing that I needed to create_task for within-task concurrency.
You still have to write the resolver for graphql. I've seen. N+1 with graphql if you don't actually use data loader+batch pattern OR if you use it incorrectly.
Corporations are picking the side that's in power. If team blue is in power they would pick blue. Corporations are (usually) not moral or inherently politically motivated other than to the extent of optimizing short term shareholder value.
Re the overnight that's why some providers are offering there are batch tier jobs that are 50% off which return over up to 12 or 24 hours for non-interactive use cases.
If the purpose is to do database specific things then pg cron can be useful for e.g. periodic vacuums. However for running application logic, maybe less so.