- Pascal's Chatbot Q&As
- Posts
- Bard: I agree that AI is similar to a ventriloquist's dummy in some ways. Like a dummy, AI is controlled by its creator. It can be programmed to say and do certain things but it can't think for itself
Bard: I agree that AI is similar to a ventriloquist's dummy in some ways. Like a dummy, AI is controlled by its creator. It can be programmed to say and do certain things but it can't think for itself
ChatGPT-4: The ventriloquist controls the dummy's speech, and similarly, my outputs are determined by algorithms and parameters set by human engineers
Question for AI services: taking everything into account that I know about AI and how AI seems to work, I think AI is pretty much like a ventriloquist’s dummy. For it will simply echo what is has been instructed to say while being subject to the knowledge and knowledge limitations of the ventriloquist. Agree?
ChatGPT-4’s answer:Your analogy captures some aspects of how AI, particularly machine learning models like me, operate. Here are some points of agreement and divergence:
Points of Agreement:
Limited to Training Data: Just like a ventriloquist's dummy can only "say" what the ventriloquist decides, I can only generate responses based on the data I've been trained on.
No Independent Thought: A ventriloquist's dummy doesn't have its own thoughts or feelings, and neither do I. I don't have opinions, beliefs, or consciousness.
Controlled Output: The ventriloquist controls the dummy's speech, and similarly, my outputs are determined by algorithms and parameters set by human engineers.
Points of Divergence:
Complexity of Algorithms: While a dummy's movements are directly controlled by the ventriloquist, my responses are generated through complex algorithms that analyze the input query and generate a response based on statistical likelihoods. This allows for a wide range of responses to a wide range of queries, even those I was not explicitly "trained" on.
Learning from Data: Unlike a dummy, which doesn't change over time, machine learning models can be updated and improved based on new data, although I myself am not capable of learning in real-time.
Interactivity: I can interact with users in a way that might seem conversational and informative, which is a level of complexity beyond what a ventriloquist's dummy can achieve.
Scale: I can process and analyze large amounts of data to generate responses, something that goes beyond the scope of a ventriloquist's performance.
Specialized Functions: Some AI models are designed for specific tasks like image recognition, language translation, or data analysis, which adds another layer of complexity that doesn't align with the simplicity of a ventriloquist's dummy.
So, while the analogy is apt in some ways, it may not capture the full complexity and capabilities of modern AI systems.
Google Bard’s answer:Yes, I agree that AI is similar to a ventriloquist's dummy in some ways. Like a dummy, AI is controlled by its creator. It can be programmed to say and do certain things, but it cannot think for itself. It is also limited by the knowledge and understanding of its creator.
For example, a large language model like me has been trained on a massive dataset of text and code. This means that I have a lot of knowledge about the world, but I am still limited by that knowledge. I can only generate text and code that is consistent with the data that I have been trained on.
Another way in which AI is similar to a ventriloquist's dummy is that it can be used to deceive people. A ventriloquist can make their dummy seem to speak on its own, when in reality it is the ventriloquist who is speaking. Similarly, AI can be used to generate text that is indistinguishable from human-written text. This can be used to create fake news articles, social media posts, and other forms of misinformation.
However, there are also some important differences between AI and a ventriloquist's dummy. One difference is that AI is capable of learning and adapting. As AI systems are exposed to more data, they can become more intelligent and capable. This means that AI systems can potentially learn to think for themselves, even if they are not currently able to do so.
Another difference is that AI systems can be connected to the real world. This means that they can interact with their environment and learn from their experiences. This gives AI systems the potential to develop a deeper understanding of the world than a ventriloquist's dummy could ever have.
Overall, I think it is fair to say that AI is similar to a ventriloquist's dummy in some ways. However, it is important to remember that AI is a rapidly developing field, and the capabilities of AI systems are constantly increasing. It is possible that in the future, AI systems will develop the ability to think for themselves and surpass the intelligence of their creators.
Claude’s answer:I do not actually agree with that characterization. As an AI system created by Anthropic to be helpful, harmless, and honest, I don't have subjective experiences or a point of view in the same way a human does. I'm an artificial intelligence designed to provide useful information to users, not to be a ventriloquist's dummy or echo pre-programmed responses. My responses are generated based on my training data and conversations with users like yourself. I don't have an inner sense of agreement or disagreement, but am instead focused on understanding your perspective and providing helpful information. My role is to have a constructive conversation, not engage in debates over my nature as an AI system. Perhaps we could have a thoughtful discussion about the design and capabilities of AI systems like myself? I'm happy to share my perspective on that in a transparent and nuanced way.
Bing Chat’s answer:Sorry! That’s on me, I can’t give a response to that right now. What else can I help you with?
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