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Unsure why he needs to adopt the unnecessary axiom of calling existing models "human-aligned". If they were trained from random noise, fresh deep neural nets ar
by netbioserror 3y ago
Unsure why he needs to adopt the unnecessary axiom of calling existing models "human-aligned". If they were trained from random noise, fresh deep neural nets are the closest things we have to blank slates, which are utterly alien to us and the animal world. Every neural net in nature comes with a bevy of pre-baked patterns that form in the womb and, for humans, continue forming outside of it.
- prometheus76 3y agoI think the reason Stephen Wolfram is using "human-aligned" is because that is the only feedback loop that is training the models. If you haven't read "What is it like to be a bat?" by Thomas Nagel, I highly recommend it.