dzikibaz

Open-weights models are catching up and are now viable for many tasks.

Keep in mind that closed, proprietary models:

1) Use your data internally for training, analytics, and more - because "the data is the moat"

2) Are out of your control - one day something might work, another day it might fail because of a model update, a new "internal" system prompt, or a new guardrail that just simply blocks your task

4) Are built on the "biggest intellectual property theft" of this century, so they should be open and free ;-)

Why is everyone so careless about letting Claude Desktop upload their source code and/or private data to its servers? Or maybe I'm too paranoid for caring about where data go.

"These run exclusively on servers Proton controls so your data is never stored on a third-party platform." But it's stored on somebody else's computer anyway.

How are "LLM hallucinations" different from a low-quality training dataset or randomly picked tokens due to overly random sampling settings?