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ing purpose, instead of from the bottom, subverting attention, we might be more successful. (Downside might be that we create cults.) Of the bunch, Hyman managed to be the most interesting (Kahneman was very charismatic but mostly tried to see if he could identify an application for his system one/sys
e most interesting (Kahneman was very charismatic but mostly tried to see if he could identify an application for his system one/system two theory). Gary Marcus was there, too, but annoyed everyone by being too insecure to deal with his incompetence. Did I tell you that I discovered that Deep Learning might
ing purpose, instead of from the bottom, subverting attention, we might be more successful. (Downside might be that we create cults.) Of the bunch, Hyman managed to be the most interesting (Kahneman was very charismatic but mostly tried to see if he could identify an application for his system one/sys
e most interesting (Kahneman was very charismatic but mostly tried to see if he could identify an application for his system one/system two theory). Gary Marcus was there, too, but annoyed everyone by being too insecure to deal with his incompetence. Did I tell you that I discovered that Deep Learning might
g purpose, instead of from the bottom, subverting attention, we might be more successful. (Downside might be that we create cults.) > Of the bunch, Hyman managed to be the most interesting (Kahneman was very charismatic but mostly tried to see if he could identify an application for his system one/sys
e most interesting (Kahneman was very charismatic but mostly tried to see if he could identify an application for his system one/system two theory). Gary Marcus was there, too, but annoyed everyone by being too insecure to deal with his incompetence. > Did I tell you that I discovered that Deep Learning mig
g purpose, instead of from the bottom, subverting attention, we might be more successful. (Downside might be that we create cults.) > Of the bunch, Hyman managed to be the most interesting (Kahneman was very charismatic but mostly tried to see if he could identify an application for his system one/sys
e most interesting (Kahneman was very charismatic but mostly tried to see if he could identify an application for his system one/system two theory). Gary Marcus was there, too, but annoyed everyone by being too insecure to deal with his incompetence. > Did I tell you that I discovered that Deep Learning mig
ing purpose, instead of from the bottom, subverting atte=tion, we might be more successful. (Downside might be that we create cults=) Of the bunch, Hyman managed to be the most interesting (Kahneman was very c=arismatic but mostly tried to see if he could identify an application for =is system one/sys
e most interesting (Kahneman was very c=arismatic but mostly tried to see if he could identify an application for =is system one/system two theory). Gary Marcus was there, too, but annoyed =veryone by being too insecure to deal with his incompetence. Did I tell you that I discovered that Deep Learning might
ting purpose, instead of =rom the bottom, subverting attention, we might be more successful. =Downside might be that we create cults.) Of the bunch, Hyman managed to be the most interesting (Kahneman was =ery charismatic but mostly tried to see if he could identify an =pplication for his system one/sys
e most interesting (Kahneman was =ery charismatic but mostly tried to see if he could identify an =pplication for his system one/system two theory). Gary Marcus was =here, too, but annoyed everyone by being too insecure to deal with his =ncompetence. > > » Did I tell you that I discovered that Deep Learnin
Entities connected to both Hyman and Gary Marcus

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