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Such a model could not be updated nor learn. Even very simple biological organisms can learn. The end-game is growing brains ;) (only partially kidding)
by intrasight 3y ago
Such a model could not be updated nor learn. Even very simple biological organisms can learn.
The end-game is growing brains ;) (only partially kidding)
- dragonwriter 3y ago> Such a model could not be updated nor learn. It might have some limited ability for updates if the hardware had the model code but the weights were in memory that was updatable. It might do in-context learning even without that.
- intrasight 3y ago> weights in memory That's basically how our neurons work. New neuron growth and connection isn't much of a factor in learning. Rather it's the synaptic restructuring (equivalent to AI model weights) that change relatively quickly. So we need to figure how how to "grow" mechanical brains. I envision this being done with a new generation of FPGAs tailored to this task.
- layer8 3y agoThat might not be a serious issue if we keep updating our personal hardware at the present frequency. So you’ll be able to decide whether to update to the new iPhone with English 4.7, or rather stay with English 3.5 for another year.