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1. Scale and Automation matter always. It wouldn't be the first time, something that was previously already technically possible goes from rarely done to widesp
by famouswaffles 1y ago
1. Scale and Automation matter always. It wouldn't be the first time, something that was previously already technically possible goes from rarely done to widespread problem.
2. The whole benefit about using LLMs, especially for search is the understanding of logic and intent behind your query, which means that when people use LLMs, they often aren't just sending the half-garbled messes they send in google search, they are sending in queries that make clear the intent behind the queries (so it can better answer it). This is not information you are guaranteed to obtain roving through browser history.
3. Today, and with ~ 5 billion users, Google search has 8.5 billion searches per day. Today, with some ~800M Weekly active users, ChatGPT has some 2.5 billion messages per day.
Not only are people more revealing per query, they are clearly having a lot more of it per user.
- wholinator2 1y agoRe: 3 - Do we know how many of those chatgpt queries are actually people? Cause i can't think of a use case to automate things with Google searches, but i can think of a million ways to automate bullshit with chatgpt. How much of that queries per user stat is inflated with the enterprise accounts making hundreds of queries a minute? How many of those are bot farms automating fake recipe websites and how many are actual people having real and revealing conversations?
- famouswaffles 1y agoThe number is chatGPT user messages (not requests via the API) so they are no enterprise accounts making hundreds of queries per minute or bot farms automating fake recipe websites. Based on Open AI's Usage Breakdown[0], as of July 2025, ChatGPT processes 1.9B Non-Work and 716 M Work Messages per day. [0] https://www.nber.org/system/files/working_papers/w34255/w34255.pdf https://www.nber.org/system/files/working_papers/w34255/w342...