As of right now, we have no way of knowing in advance what the capabilities of current AI systems will be if we are able to scale them by 10x, 100x, 1000x, and more.
The number of neuron-neuron connections in current AI systems is still tiny compared to the human brain.
The largest AI systems in use today have hundreds of billions of parameters. Nearly all parameters are part of a weight matrix, each parameter quantifying the strength of the connection from an artificial input neuron to an artificial output neuron. The human brain has more than a hundred trillion synapses, each connecting an organic input neuron to an organic output neuron, but the comparison is not apples-to-apples, because each synapse is much more complex than a single parameter in a weight matrix.[a]
Today's largest AI systems have about the same number of neuron-neuron connections as the brain of a brown rat.[a] Judging these AI systems based on their current capabilities is like judging organic brains based on the capabilities of brown rat brains.
What we can say with certainty is that today's AI systems cannot be trusted to be reliable. That's true for highly trained brown rats too.
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[a] https://en.wikipedia.org/wiki/List_of_animals_by_number_of_n... -- sort in descending order by number of synapses.
The number of neuron-neuron connections in current AI systems is still tiny compared to the human brain.
The largest AI systems in use today have hundreds of billions of parameters. Nearly all parameters are part of a weight matrix, each parameter quantifying the strength of the connection from an artificial input neuron to an artificial output neuron. The human brain has more than a hundred trillion synapses, each connecting an organic input neuron to an organic output neuron, but the comparison is not apples-to-apples, because each synapse is much more complex than a single parameter in a weight matrix.[a]
Today's largest AI systems have about the same number of neuron-neuron connections as the brain of a brown rat.[a] Judging these AI systems based on their current capabilities is like judging organic brains based on the capabilities of brown rat brains.
What we can say with certainty is that today's AI systems cannot be trusted to be reliable. That's true for highly trained brown rats too.
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[a] https://en.wikipedia.org/wiki/List_of_animals_by_number_of_n... -- sort in descending order by number of synapses.