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> What use is there in delaying this capability for a couple years Leaving them time to build all the inference stack so they can host the model behind a paid
by sailingparrot 5y ago
> What use is there in delaying this capability for a couple years
Leaving them time to build all the inference stack so they can host the model behind a paid API, alongside Codex and GPT-3.
That's OpenAI's new-ish business model, create amazing models and sell access to the predictions. The golden age of OpenAI state of the art models freely accessible has been over for over a year now.
I don't know why they feel the need to keep pretending it's for "safety".
For that matter, I think we are generally going to see a trend where less and less big models are distributed publicly, that's not specific to OpenAI. At the scale of those models, training is so expensive and the capabilities potentially game changing that it becomes hard to justify sharing the weights with your competition.
See e.g. Turing-NLG from MS, Gopher from DeepMind etc.