- cross-posted to:
- fuck_ai
- cross-posted to:
- fuck_ai
science shows as true what you thought was only 99% true
https://www.youtube.com/watch?v=uVf7VUX_iUk&list=UU9rJrMVgcXTfa8xuMnbhAEA - video
https://pivottoai.libsyn.com/20251015-ai-is-not-popular-and-ai-users-are-unpleasant-asshats - podcast
time: 5 min 57 sec



The sleight of hand in the industry, wherein businesses that used to provide users with search results to explicit queries and now repackage their search tool as “AI” with a more natural language interface, has produced a group of people who are outspokenly insisting AI is a success because users still need the web to search for data.
No idea why you would presume the bulk of AI use was happening Incognito. This seems like you’re trying to argue in the negative - “you can’t prove they’re not using AI in secret and loving it”.
Seems like they’re collecting some basic popularity metrics and finding the results that are consistent with their audience’s own experiences. The tools are clumsy, inaccurate, cumbersome, and unprofitable for both the host and the end user. LLMs aren’t ready for prime time, no matter how many ways a business tries to shoehorn an AI interface into their application model.
Hypothesis, data collection, analysis, results.
That’s textbook scientific analysis.
What are you talking about? Most web traffic these days is mobile traffic. The most common way people use AI (other than in search summaries, which the study doesn’t seem to have counted) is by whipping out the chatgpt app on their phone. If you want to know “what tree is that?” or “what is the name of Elrond’s hair stylist?” you aren’t going to run back to your laptop to query chatgpt on Chrome.
Other common uses of AI are for coding (independent applications) or chat bots (independent applications)
Porn
Sure, go collect data. But point out that you shouldn’t draw conclusions from the data since ut is woefully incomplete.
It’s garbage scientific analysis. This crap shouldnt make it past peer review. It’s worse than p-hacking and the replication crisis since it isn’t even hard to find the flaws in their methodology. This is “science” for the sake of getting published - it is disingenuous and actively sets back the public’s faith in science.