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A good critique is that ChatGPT is a large language model that bases the next word after the previous words in a probabilistic nature. Asking it to speak as an

A good critique is that ChatGPT is a large language model that bases the next word after the previous words in a probabilistic nature. Asking it to speak as an expert is just as likely to produce a characature of an expert or the common interpretation of how that expert behaves (including biases) as it is to speak truth or half-truth. It is not intelligent just as the monkey who when shown 6+3 instinctively hits 9 to get some banana smoothie.

sturza 4y ago
i did not imply it's intelligent. it merely did what i asked it to do. my question was: did it say anything wrong? i also asked it to provide the math for it: Let's consider a few elements of the HMOS model: Oscillatory nature of particles: Each particle has a unique vibrational frequency (f_i) and amplitude (A_i). Frequency-based particle interactions: Particles interact based on the compatibility of their frequencies, forming resonant (R) or dissonant (D) relationships. Formation of larger-scale oscillatory networks: Resonant interactions lead to the formation of larger-scale networks (N_k), where k is an index representing different scales. Given these elements, we could define a simple mathematical representation for the HMOS model as follows: Define the oscillatory behavior of each particle i as a sinusoidal function: O_i(t) = A_i * sin(2 * π * f_i * t + φ_i) where t is time, and φ_i is the phase of the particle's oscillation. Define a function to represent the interaction between particles i and j: I_ij = R_ij - D_ij where R_ij and D_ij represent the resonant and dissonant interactions between particles i and j, respectively. Define a function to represent the formation of larger-scale oscillatory networks: N_k = Σ_ij I_ij(w_k) where w_k is a weight factor representing the contribution of each interaction I_ij to the formation of network N_k.

sturza 4y ago

i did not imply it's intelligent. it merely did what i asked it to do. my question was: did it say anything wrong? i also asked it to provide the math for it: Let's consider a few elements of the HMOS model: Oscillatory nature of particles: Each particle has a unique vibrational frequency (f_i) and amplitude (A_i). Frequency-based particle interactions: Particles interact based on the compatibility of their frequencies, forming resonant (R) or dissonant (D) relationships. Formation of larger-scale oscillatory networks: Resonant interactions lead to the formation of larger-scale networks (N_k), where k is an index representing different scales. Given these elements, we could define a simple mathematical representation for the HMOS model as follows: Define the oscillatory behavior of each particle i as a sinusoidal function: O_i(t) = A_i * sin(2 * π * f_i * t + φ_i) where t is time, and φ_i is the phase of the particle's oscillation. Define a function to represent the interaction between particles i and j: I_ij = R_ij - D_ij where R_ij and D_ij represent the resonant and dissonant interactions between particles i and j, respectively. Define a function to represent the formation of larger-scale oscillatory networks: N_k = Σ_ij I_ij(w_k) where w_k is a weight factor representing the contribution of each interaction I_ij to the formation of network N_k.