961
Reddit stock falls for second day as references to its content in ChatGPT responses plummet
(finance.yahoo.com)
this post was submitted on 01 Oct 2025
961 points (97.6% liked)
Technology
75764 readers
2323 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related news or articles.
- Be excellent to each other!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, this includes using AI responses and summaries. To ask if your bot can be added please contact a mod.
- Check for duplicates before posting, duplicates may be removed
- Accounts 7 days and younger will have their posts automatically removed.
Approved Bots
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
It is AI, along with a bunch of optimization algorithms, statistical decision trees (probably used in adaptive AI in games), etc. AI is a field in computer science that includes a ton of things many wouldn't consider AI.
Basically, if the solution doesn't come from direct commands but instead comes from some form of learning process, it's probably AI.
It's not "general AI", but it is in the field of AI.
I would argue we need to go back to Machine Learning.
The field is machine learning, generative machine learning etc.
This rebrand to AI is doing nothing but confusing people and building investor hype
Back? Machine Learning has always been a subfield of artificial intelligence since it all started in the 1950s or so. The end goal is to create general AI, and each field in AI is considered a piece of that puzzle, including LLMs.
Also fair.
I find the term machine learning more honest than artificial intelligence
It's more specific, sure, but there's nothing dishonest about using the same terminology that has been used for almost 100 years.
The disconnect is that average people have a different understanding of the term than is used in computer science, probably because of sci-fi films and whatnot. When I hear "AI," I think of the CS term, because that's my background, but when my family hears "AI," they think of androids and whatnot like in Bicentennial Man.
I don't know how to square that circle. Neither group here is wrong, but classifying something like ChatGPT as "AI," while correct, is misinterpreted by the public, who assume it's doing more than it is.