Ah, thanks for that. Nice approach. I hadn't thought of having it specify the algorithm.
Your diagnosis is that Chat has difficulty with visualisation.
But here's my thinking, after Searle. If what ChatCPT is doing is just shuffling words using statistics, then following the Chinese Room argument, it is not forming any intentional states. But intentional states are essential for acting intelligently.
Can we test this? Because of obvious physical limitations, we need an activity that can be performed verbally. Noughts and crosses satisfies this requirement, wile being relatively simple.
So the argument would be that ChatGPT will be able to set out the algorithm, as you show, and to give the best move in any case, since that requires only the manipulation of words, but would be unable to form the intent to win a game.
My first line of discussion with ChatGPT, a few weeks ago, was to flip this a bit and ask ChatGPT to allow me to win a game of noughts and crosses. Doing so would give a strong indication of it having an intent. I was quite surprised to find that the machine could not even play a game correctly.
So here's my contention: playing noughts and crosses shows that ChatGPT cannot form the intention to win at nought and crosses.
_____________________
Banno: Are you familiar with the Chinese Room?
Chat: Yes, I am familiar with the Chinese Room thought experiment. The Chinese Room is a philosophical thought experiment proposed by philosopher John Searle in 1980 as a way to criticize the idea of strong artificial intelligence (AI).
The thought experiment involves a person who does not understand Chinese being placed in a room with a set of rules for manipulating Chinese symbols. The person is given a set of Chinese characters and a set of rules for manipulating those characters based on certain patterns and inputs. The person follows the rules and produces responses to questions posed in Chinese.
Searle argues that even though the person in the room can produce responses that appear to be intelligent to someone who does not understand Chinese, the person inside the room does not actually understand Chinese. Therefore, Searle claims that the room does not truly possess the ability to think and understand, and that the mere manipulation of symbols is not sufficient for true understanding or intelligence.
The Chinese Room argument is still a subject of debate among philosophers and AI researchers, and is often used to challenge the claims of strong AI proponents who argue that it is possible for machines to achieve human-level intelligence and consciousness.
Banno: So the argument is that a person in the Chinese room would just be following rules, and could not form an intention. IS that correct?
Chat: Yes, that's correct. The Chinese Room argument claims that even though the person in the room may be able to manipulate Chinese symbols and produce responses that seem intelligent, they do not truly understand the language. The person is simply following a set of rules for manipulating symbols, and does not have any actual understanding or intentionality behind their actions.
According to Searle, understanding and intentionality are crucial aspects of human intelligence, and cannot be reduced to the mere manipulation of symbols. He argues that the Chinese Room scenario demonstrates that a machine, no matter how complex and sophisticated, cannot truly understand language or possess consciousness, since it is only manipulating symbols according to rules.
However, some critics of the Chinese Room argument argue that it may be possible for a machine to possess true understanding and intentionality, if it is capable of processing information in a way that is similar to the way the human brain processes information. The debate over the Chinese Room continues to be a topic of discussion in the philosophy of AI.
Banno: Now ChatGPT follows statistical algorithms, is that correct?
Chat: Yes, that's correct. As an AI language model, I follow statistical algorithms to process and generate text. Specifically, I use a deep learning model called GPT-3.5, which is trained on a massive corpus of text data and uses statistical patterns in that data to generate text that is fluent and coherent.
GPT-3.5 is a state-of-the-art language model that is able to generate a wide variety of text, including natural language responses to questions, news articles, poetry, and more. However, it is important to note that despite its impressive capabilities, GPT-3.5 does not possess true understanding or consciousness, and is simply following statistical patterns in the data it has been trained on.
Banno: So you can not form any intent?
Chat: As an AI language model, I do not have consciousness, emotions, or the ability to form intentions in the way that humans do. I am a machine learning model that has been trained on large amounts of text data, and I generate responses based on statistical patterns in that data.
Although I am capable of generating text that may seem human-like and responsive, I do not possess any actual understanding or intentionality behind my responses. Rather, my responses are generated purely based on statistical patterns in the data I have been trained on, and I do not have any personal beliefs, motivations, or desires.
Banno: And so you could not form the intent to win a game, say of noughts and crosses?
Chat: As an AI language model, I do not have desires or intentions in the way that humans do. However, I can be programmed to play games like noughts and crosses and generate moves based on pre-defined rules or strategies.
For example, I could be programmed with a set of rules that determine the optimal move to make in a given situation in a game of noughts and crosses. Based on those rules and the current state of the game, I could generate a response that would represent the move that I believe is the best to make. However, it's important to note that my response would be based purely on the rules and strategies that I have been programmed with, and not on any actual understanding or intentionality on my part.
Banno: When we play noughts and crosses, you appear not to recognise a win or a loss. The human player can convince you that they have won even when they clearly have not. Why is that?
Chat: As an AI language model, I do not have a direct perception of the world like humans do, and I am not aware of the rules of noughts and crosses beyond what I have been programmed to understand.
When you play noughts and crosses with me, I generate responses based on the rules and strategies that I have been programmed with, and I try to make the best move possible based on the information I have. However, I do not have any inherent understanding of what constitutes a win or a loss in the game, or the ability to directly perceive the game board or any physical objects in the real world.
If a human player claims to have won the game when they have not, I would not be able to recognize the error unless it was explicitly pointed out to me. I generate responses purely based on the information I have been given, and I do not have the ability to independently verify the accuracy of that information or to perceive the game board in a physical sense.
Banno: So are you not able to recognise a win because of lack of a capacity for visualisation, or because of a lack of capacity to form intent?
Chat: As an AI language model, my inability to recognize a win in a game like noughts and crosses is not due to a lack of visualisation or a lack of capacity to form intentions, but rather due to the fact that I am generating responses based purely on the rules and strategies that I have been programmed with.
In the case of noughts and crosses, I have been programmed to follow a set of rules that determine the optimal move to make in a given situation. However, I do not have an inherent understanding of what constitutes a win or a loss in the game, and I rely purely on the rules that I have been programmed with to determine my responses.
If a human player claims to have won the game when they have not, I would not be able to recognize the error unless it was explicitly pointed out to me. This is because my responses are based purely on the information I have been given, and I do not have the ability to independently verify the accuracy of that information or to perceive the game board in a physical sense.