When ChatGPT can read my blog

ChatGPT recently informed me it could do some creative and useful things for me if I gave it access to my Google Drive files and folders. I thought about it but since I have just about everything in Google Drive I decided to wait a bit. For now I can simply upload or link to a document or file. But the list of things ChatGPT could do with this access was impressive. So I asked if it could “read” my 6,000+ blog posts.


ChatGPT currently doesn’t have the capability to directly access or interact with content on external websites, including public blogs, in real-time. However, you can share specific posts or content from your blog, and I can help analyze, discuss, or provide feedback based on that. If there are specific posts or themes you’d like to talk about, feel free to share them here, and we can dive into the details.

To which I replied, Let’s assume that at some point in the future ChatGPT will be able “read” the 6,000+ posts on my blog. (Something no human has ever done) Wouldn’t that dramatically… enhance? … our interactions?

Absolutely, if ChatGPT could read and analyze all 6,000+ posts on your blog, it would greatly enhance our interactions. Here’s how it could benefit:

  1. Personalized Responses: Understanding the nuances of your thoughts, interests, and experiences documented over the years would allow me to tailor responses to be even more relevant and insightful.
  2. Contextual Awareness: I could reference specific posts or themes you’ve discussed previously, providing continuity and depth in our conversations.
  3. Enhanced Recommendations: Based on your past writings, I could offer more targeted suggestions for books, topics, or activities that align with your interests.
  4. Insightful Analysis: I could help identify patterns or recurring themes in your blog posts, providing a fresh perspective on your work and potentially sparking new ideas.
  5. Memory and Continuity: Our interactions would feel more seamless, as I’d have a detailed “memory” of your blog posts, making it easier to pick up where we left off in previous conversations.

In essence, this capability would make our interactions more dynamic, informed, and personalized, making me a more effective conversational partner.

What, I asked, are the technical obstacles to having this functionality now?

There are a few technical and practical obstacles to implementing this functionality currently:

  1. Data Privacy and Security: Accessing and processing large amounts of personal data, like your blog posts, involves significant privacy and security considerations. Ensuring that such data is handled securely and with appropriate permissions is crucial.
  2. Data Integration: Integrating and processing a large volume of text data from an external source like a blog requires robust data integration techniques. This involves fetching, parsing, and storing the data in a way that can be efficiently queried and analyzed.
  3. Computational Resources: Analyzing 6,000+ posts involves substantial computational power, both for initial processing and for real-time interactions. This necessitates efficient algorithms and scalable infrastructure.
  4. Natural Language Understanding: While natural language processing (NLP) has made significant advancements, understanding the context, tone, and nuances across thousands of posts is still a complex task. This requires advanced models and potentially custom training to accurately capture your writing style and preferences.
  5. User Control and Customization: Giving users control over what data is accessed and how it is used is essential. This means developing user-friendly interfaces and options for customization, which adds another layer of complexity.
  6. Ethical Considerations: There are ethical considerations around the extent of data analysis and the potential for unintended consequences, such as reinforcing biases or making incorrect inferences.

While these challenges are significant, they are not insurmountable. Advances in AI, NLP, and data processing continue to evolve, making such functionality more feasible in the future. It will require careful planning, robust technology, and thoughtful implementation to ensure it is done effectively and ethically.