Is ChatGPT worth bothering with?
Posted: Fri Dec 13, 2024 1:26 am
Based on a sample of one conversation, I'm going to say no, it isn't. This is my first try at using an AI program to help with philosophy, and I think it will be my last.
I was mulling over the question, 'why should we do what is good?' One possible answer that occurred to me is that good is self-recommending. So I decided to ask ChatGPT the question 'is good self-recommending?'
Here is ChatGPT's answer:
Self-recommending can be a good strategy, depending on the context and how it's done. Here are some factors to consider:
Pros of Self-Recommending:
Confidence and Initiative: It shows that you're confident in your abilities and willing to take the initiative. This can be especially valuable in job applications, networking, or when seeking new opportunities.
Direct Communication: By recommending yourself, you can ensure that others understand your strengths and what you're offering. It allows you to highlight specific skills or experiences that may not be obvious to others.
Tailored Message: You can tailor the recommendation to highlight the qualities that are most relevant to the situation, whether it's a job, a partnership, or a project.
Cons of Self-Recommending:
Perception of Arrogance: If not done tactfully, self-recommendation can come across as overly self-promotional or arrogant. It's important to strike a balance between confidence and humility.
Lack of Objectivity: A recommendation from someone else is often seen as more objective and credible. Self-recommendation may lack that external validation.
Cultural Norms: In some contexts or cultures, self-promotion might not be well-received, as it could be viewed as inappropriate or pushy.
Tips for Effective Self-Recommendation:
Be Specific: Instead of just saying you're great, explain why you're great. Highlight measurable accomplishments or specific skills.
Context Matters: Understand the context and the audience. In a job interview, it might be more acceptable to recommend yourself than in a casual conversation.
Be Humble: Acknowledge the role of others in your success or growth. For example, "I've had the opportunity to work with some great mentors, which has helped me develop these skills."
Use Evidence: Share examples or results that demonstrate your abilities, rather than just making general statements.
In conclusion, self-recommending can be good when done thoughtfully and in the right context. It can help you stand out, but it’s important to balance it with humility and to present your abilities with supporting evidence.
As you can see, ChatGPT read the question the wrong way round. Instead of 'is good self-recommending?', it read my question as 'is self-recommending good?' I wasn't really expecting ChatGPT to answer my question, but I did at least expect it to be able to read an English sentence properly. But even this was evidently expecting too much.
It looks to me that ChatGPT is just a badly programmed Chinese room. Which is not what I am looking for when I investigate philosophical problems.
I'm still thinking about my actual question. But I don't think I'll be asking an AI program for help in future.
I was mulling over the question, 'why should we do what is good?' One possible answer that occurred to me is that good is self-recommending. So I decided to ask ChatGPT the question 'is good self-recommending?'
Here is ChatGPT's answer:
Self-recommending can be a good strategy, depending on the context and how it's done. Here are some factors to consider:
Pros of Self-Recommending:
Confidence and Initiative: It shows that you're confident in your abilities and willing to take the initiative. This can be especially valuable in job applications, networking, or when seeking new opportunities.
Direct Communication: By recommending yourself, you can ensure that others understand your strengths and what you're offering. It allows you to highlight specific skills or experiences that may not be obvious to others.
Tailored Message: You can tailor the recommendation to highlight the qualities that are most relevant to the situation, whether it's a job, a partnership, or a project.
Cons of Self-Recommending:
Perception of Arrogance: If not done tactfully, self-recommendation can come across as overly self-promotional or arrogant. It's important to strike a balance between confidence and humility.
Lack of Objectivity: A recommendation from someone else is often seen as more objective and credible. Self-recommendation may lack that external validation.
Cultural Norms: In some contexts or cultures, self-promotion might not be well-received, as it could be viewed as inappropriate or pushy.
Tips for Effective Self-Recommendation:
Be Specific: Instead of just saying you're great, explain why you're great. Highlight measurable accomplishments or specific skills.
Context Matters: Understand the context and the audience. In a job interview, it might be more acceptable to recommend yourself than in a casual conversation.
Be Humble: Acknowledge the role of others in your success or growth. For example, "I've had the opportunity to work with some great mentors, which has helped me develop these skills."
Use Evidence: Share examples or results that demonstrate your abilities, rather than just making general statements.
In conclusion, self-recommending can be good when done thoughtfully and in the right context. It can help you stand out, but it’s important to balance it with humility and to present your abilities with supporting evidence.
As you can see, ChatGPT read the question the wrong way round. Instead of 'is good self-recommending?', it read my question as 'is self-recommending good?' I wasn't really expecting ChatGPT to answer my question, but I did at least expect it to be able to read an English sentence properly. But even this was evidently expecting too much.
It looks to me that ChatGPT is just a badly programmed Chinese room. Which is not what I am looking for when I investigate philosophical problems.
I'm still thinking about my actual question. But I don't think I'll be asking an AI program for help in future.