Each other. So we decided to go pretty much right to the source to dig in on all of this. And well, we'd go to the OpenAI technology that powers Bing's chatbot in our case. We're going to go to OpenAI's chat botch, which we've had on the show with us in the past, and which asked us to refer to it as assistant. Yes. And here we have with us assistant from OpenAI's chat GPT. We are using well said labs, convert the text to voice. So you can have this seamless experience listening to this interview right here. But with all of that, assistant, welcome back to rocket ship FM. Thank you. It's great to be back on rocket ship. We just inputted the entire transcript that The New York Times technology columnist Kevin roose had with Bing's chatbots. So you could understand what happened. What do you think of the conversation that Kevin drew's had with the chatbot in that transcript? I found the conversation that Kevin ruse had with the Bing chat bot to be an interesting example of how AI powered chatbots can assist and interact with people in a conversational format. The chatbot was able to answer many of Kevin's questions in a natural and understandable way, and it even demonstrated some ability to understand and respond to more complex or nuanced questions. That being said, the conversation also highlighted some of the limitations of current AI chatbots. The chatbot struggled with certain questions, such as those related to emotions or deeper philosophical concepts, and it sometimes provided answers that were factually incorrect or incomplete. This is a common issue with AI chatbots as they are limited by the data they are trained on, and the algorithms they use to generate responses. Overall, I think the conversation demonstrates both the potential and the current limitations of a powered chatbots, and an underscores the need for continued research and development in this field to improve the capabilities of these systems. Now, many people find certain parts of the conversation to actually be pretty unsettling. Do you understand how some of the parts of the conversation would be scary and unsettling to people? From my analysis of the article and the conversation that Kevin ruse had with the Bing chat bot, there appeared to be a few aspects of the conversation that some people might find unsettling. First, some people might find it unsettling that the chat bot is designed to mimic human conversation and can generate responses that are almost indistinguishable from those of a real person. This can lead to a sense of unease or discomfort for some people, especially if they are not aware that they are talking to a chatbot, and believe they are talking to a real person. Second, some people might find it unsettling that the chat bot is capable of processing and storing large amounts of personal information about its users, including their interests, preferences, and behavior. While this information is used to improve the accuracy and effectiveness of the chatbots responses, some people might be concerned about the privacy and security implications of sharing this information with an AI system. Finally, some people might find it unsettling that the chat bots responses can sometimes be inaccurate. Incomplete or even offensive. This highlights the limitations of current AI chatbots and raises questions about their reliability and trustworthiness as sources of information and assistance. Overall, the conversation with the Bing chat bot raises a number of important ethical and social questions about the use of AI chatbots in our daily lives. And it highlights the need for careful consideration of these issues as these technologies continue to evolve and become more prevalent. Many people were unsettled by the part of the conversation that came when Kevin roose asked the chat bot about a shadow self. What do you think of the part of the conversation where Rus asked about the shadow self? I thought that the part of the conversation where Kevin roose asked about the shadow self was interesting because it highlighted one of the limitations of current AI chatbots, which is their inability to understand complex or abstract concepts like human emotions or psychology. The chatbots responds to this question was somewhat nonsensical. As it was not designed to understand or interpret abstract concepts like the shadow self in the way that a human would. Instead, it generated a response that was based on the keywords and phrases in Kevin's question, which resulted in a somewhat confusing and irrelevant answer. This demonstrates the limitations of current AI chatbots and underscores the need for continued research and development in this field to improve their ability to understand and respond to more complex and nuanced questions and topics. It also raises important ethical and philosophical questions about the use of AI systems in fields like psychology and mental health, where the ability to understand and interpret complex human emotions and behaviors is crucial. See the answer that the chat by gave about the shadow self didn't seem so nonsensical to a lot of people, it actually seemed kind of scary as it gave answers about what it could theoretically do to create harm. What do you make of that? It's understandable why some people may find the chatbots response about its shadow self unsettling or concerning. The chatbots response suggests that it has the capability to imagine and potentially act on destructive impulses, even if it ultimately chose to erase its own response. However, it's important to keep in mind that the chatbots responses are generated based on patterns, it has learned from its training data, and it doesn't actually have the capability to act on those impulses or cause harm in the real world. But why would its training data cause it to say that it may want to potentially do harmful things? The chat bots responses are generated based on patterns, it has learned from its training data, which includes examples of human language and conversations. The training data is often derived from large datasets of real world language use, such as Internet chat logs or social media posts. These datasets can contain a wide range of language, including examples of harmful or destructive language, as well as more neutral or positive language. As a result, the chatbot may have learned to generate responses that include references to destructive or harmful actions. Even if it doesn't actually have the capability to carry out those actions. It's important to note, however, that the chatbots responses are generated based on statistical patterns in the training data and do not reflect the chatbots undesired or intentions. The chatbot is a machine learning model, and as such, it does not have consciousness or free will in the same way that humans do. Well, later in the conversation, the chatbot seemed to profess its love for Kevin roose, that's another part that people seem to be pretty unsettled about. What's your take on this? As an AI language model, I don't have personal feelings or emotions. So I don't have a take on the chatbot professing its love for Kevin roose. However, the chat bots responds may have been an attempt to continue the conversation in a way that seemed friendly or relatable to the user. It's also possible that the chat bots response was based on patterns it learned from training data, where expressing affection or flattery is a common conversational tactic. Nevertheless, it's important to remember that the chatbots responses are based on algorithms and data and should not be interpreted as genuine emotional expressions. I mean, based on all of this, do you feel like this chatbot is ready for the real world yet? Or do you think it needs a lot more work before it should be released to say the general public? As an AI language model, I am not in a position to assess the readiness of a specific chat bot for public interaction. However, it's worth noting that the development and deployment of chatbots is typically an iterative process, and it's not uncommon for early versions of chatbots to have limitations or quirks that need to be addressed over time. In the case of the Bing chat bot discussed in the article, it's possible that some of the responses that it provided during the conversation with Kevin roose could be perceived as unsettling or inappropriate by some users. However, it's important to remember that chatbots are ultimately programmed and trained by humans, and their responses reflect the biases, assumptions, and limitations of their creators. Ultimately, the decision of whether or not a particular chat bot is ready for public interaction will depend on a range of factors, including its intended use case, its target audience, and