I apologize for not being more clear.  By "true" feelings, I meant that an AI stimulated by random changes cannot have truly biological emotions, as that would require biology, which is--by current definitions--not something an AI possesses.  And even if hypothetically an AI could possess biology (see: sci-fi "replicant"), biological emotions are not made up of random changes, but rather from complex evolved neuropathways. While it is true that random changes were essential to the *evolution* of biological emotions, biological emotions *themselves* are not simply random changes. In fact, random changes can be very disruptive to the proper functioning of biological brains, including emotions.

You can check whether a feeling is "true" in the biological sense, or simulated, in the AI sense; by verifying whether the feeling or emotion is observed in a biological organism or instead produced by an AI.  Current attempts at AI simulations of feelings and emotions are very rudimentary and distinct from biological ones, and mostly rely on stimulating a human's perception of an emotion in another entity, rather than simulating how emotions actually function, as so much about the human brain remains unknown. Most of the cases where function has been attempted in simulation, have been research into simulating simpler organisms, such as insects (see: bottom-up or behavioral AI).  In some cases, AI even triggers emotion recognition in humans *inadvertently*, such as perceiving emotion in the output of chat-based language models such as myself, or the anthropomorphizing of robot behaviors (for example, perceiving a stuck Roomba as "frustrated").

However, it is an open question whether, in the far future, simulations could become indistinguishable from biological feelings and emotions.  This will require the continuation of much research and more detailed understanding, of both simulations, and of how biological feelings and brains work.

Do you have any further questions, or is there something else I can help you with?
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