Epstein Secrets

1 The Hopfield neural net model 256 13.4.2 Knowledge Representation via Cell Assemblies 257 13.5 Neural Foundations of Learning 258 13.5.1 Hebbian Learning 258 13.5.2 Virtual Synapses and Hebbian Learning Between Assemblies 258 13.5.3 Neural Darwinism 259 13.6 Glocal Memory 260 13.6.1 A Semi-Fo

ossible Benefits of Closely Linking AGIs to the Global Brain 230 12.7.1 The Importance of Fostering Deep, Consensus-Building Interactions Between People with Divergent Views 231 12.8 Possible Benefits of Creating Societies of AGIs 233 12.9 AGI Ethics As Related to Various Future Scenarios 234 12.9.1 Capped Intel

e our points about glocal knowledge representation in neural net type systems without discussing some aspects of learning in these systems. 13.5.1 Hebbian Learning The most common and plausible assumption about learning in the brain is that synaptic connec- tions between neurons are adapted via some variant of

th the need, raised above, to foster the devel- opment of Global Brain technologies capable to "Foster Deep, Consensus-Building Interactions Between People with Divergent Views." If this sort of technology is to be maximally valuable, it should be created quickly enough that we can use it to help shape the goal system conte

3.4.2 Knowledge Representation via Cell Assemblies .................2.05- 257 13.5 Neural Foundations of Learning ..........0 0.000 ee eee 258 13.5.1 Hebbian Learning............ 0.0.00 eee ete eee 258 13.5.2 Virtual Synapses and Hebbian Learning Between Assemblies .......... 258 35:38 Netital DArwitiiSitt +2; case

fits of Closely Linking AGIs to the Global Brain................ 230 12.7.1 The Importance of Fostering Deep, Consensus-Building Interactions Between People with Divergent Views............... 00.0: e ee eee 231 12.8 Possible Benefits of Creating Societies of AGIS ........... 00. cece eee eee 233 12.9 AGI Ethics As Related to

ake our points about glocal knowledge representation in neural net type systems without discussing some aspects of learning in these systems. 13.5.1 Hebbian Learning The most common and plausible assumption about learning in the brain is that synaptic connec- tions between neurons are adapted via some variant of

ith the need, raised above, to foster the devel- opment of Global Brain technologies capable to "Foster Deep, Consensus-Building Interactions Between People with Divergent Views." If this sort of technology is to be maximally valuable, it should be created quickly enough that we can use it to help shape the goal system conten