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…
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?
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…
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?