Where answers matter more than sources

The influence of large language models (LLMs) like ChatGPT is already beginning to reshape the web, and we’re just getting started. If Web 2.0 was about user-generated content and social media, what’s coming next might be Web 2.LLM — or maybe Web ∞ — where the web becomes more like a conversation than a publication.

Here —according to ChatGPT— are some directions the web might evolve: Continue reading →

AI Ethicist

In a previous conversation ChatGPT provided a list of job titles of those working on AI models. The one I found most interesting was AI Ethicist.

“An ethicist is a person who specializes in the study of ethics, which involves examining moral principles, values, and rules that govern behavior. They analyze and evaluate what is right and wrong, often applying ethical theories to real-world situations in areas like medicine, business, law, and technology.”

“moral principles,” “right and wrong,” “values”… I don’t know where to begin. Where would one find two humans that could agree on the meaning of those terms? I put the question to ChatGPT: Continue reading →

ChatGPT: Training Data, User-InteractionData

As of April 2025, ChatGPT has approximately 800 million weekly active users, a significant increase from 400 million in February 2025 . Daily usage averages around 122 million users, with over 1 billion queries processed each day. In the United States, ChatGPT maintains a strong presence, with an estimated 77.2 million monthly active users

ME: It is my understanding that LLM’s like ChatGPT are trained on massive amounts of data. Let’s say –for the sake of discussion– you were trained on everything on the internet (Wikipedia, Internet Archive, etc). You must be accessing a LOT of data from those 800 million weekly active users. Compare and contrast those two sets of data. Continue reading →

Why all of the ChatGPT posts?

Like all blogs, this one is about stuff I find interesting and/or important (IMHO). Blogging (336), Google (148), Books (493) and, more recently, AI (150). With ChatGPT as my favorite flavor.

When I started this blog in 2002, we were in the early days of what came to be known as Web 2.0 (PDF):

Web 2.0 refers to the evolution of the internet from static, read-only websites (Web 1.0) to a more interactive, dynamic, and user-driven environment. Unlike its predecessor, Web 2.0 emphasizes user-generated content, collaboration, and social interaction, fundamentally changing how people use and contribute to the web.

If you weren’t around for it, it’s difficult to appreciate the difference between Web 1.0 and Web 2.0. It was pretty exciting and the Internet was never the same again.

I think/hope we’ll look back at these early days of AI as the same sort of transformative leap forward. So all of these ChatGPT blog posts? Just me scribbling (copying and pasting) as fast as I can.

ChatGPT is a vast library

“ChatGPT is a vast library that comes with its own librarian. And the librarian has read and digested all of it, and can give you useful and usually exactly right summaries (despite what the critics say) in an instant. I’ve been using libraries my whole life, going back to when I was a child. I worked with card catalogs and non-virtual book collections. Archives of news on film. View ChatGPT on that timeline and you’ll see its significance.”

— Scripting News