On Monday, June 24, 2024, at 1:16 PM, Matt Mahoney wrote: > By this test, reinforcement learning algorithms are conscious. Consider a > simple program that outputs a sequence of alternating bits 010101... until it > receives a signal at time t. After that it outputs all zero bits. In code: > > for (int i=0;;i++) cout<<(i<t & i%2); > > If t is odd, then it is a positive reinforcement signal that rewards the last > output bit, 0. If t is even, then it is a negative signal that penalizes the > last output bit, 1. In either case the magnitude of the signal is about 1 > bit. Since humans have 10^9 bits of long term memory, this program is about > one billionth as conscious as a human.
Reminds me of this: "A lone molecule of tryptophan displays a fairly standard quantum property: it can absorb a particle of light (called a photon) at a certain frequency and emit another photon at a different frequency. This process is called fluorescence and is very often used in studies to investigate protein responses." Is your program conscious simply as a string without ever being run? And if it is, describe a calculation of its consciousness. ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T6510028eea311a76-M74977b3fe00cfa753914fa46 Delivery options: https://agi.topicbox.com/groups/agi/subscription
