Ng: But really artificial neural networks are nothing like what the biological brain does.
Depends on what your job is.
Robotics expert doesn’t necessarily agree.
Should we try to get good at being gods?
Mark Bishop: Why computational AI has historically failed to replicate human mentality, and will continue to fail
But, what happens if the support staff make a mistake and scramble a geek’s brain files with the files of the Relationships TV airhead?
As a friend says, nice knowing you all… after all this time.
Worst of all, he wants “regulatory oversight.” So those who can’t stop or fix the machine will spy on the rest of us instead?
One of the saddest aspects of the debates over the design inference on empirically reliable signs such as FSCO/I, is the way evolutionary materialist objectors and fellow travellers routinely insist on distorting the ID view, even after many corrections. (Kindly, note the weak argument correctives, accessible under the UD Resources Tab, which address many of Read More…
What if the machine is a superintelligence that just loves paper clips?
It is unlikely that idioms are imagined in the brain. Most people are not in fact aware, most of the time, what common idioms reference.
Bostrom: Machines have a number of fundamental advantages, which will give them overwhelming superiority
A food-for-thought lecture: [youtube U5baL9oh430] Thoughts? END PS: Kindly note this (and the discussion in the original post here with onward discussion and video here) on the problem of neural networks, computation vs contemplation and trying to get North by heading West:
Sounds fishy. What’s in it for a robot to lie, unprogrammed?
It’s not the machines who would take over but their designers.