Those fake AI voices are perfect tools for phishing campaigns.
I wonder if ChatGPT combined with a voice generator can mount successful phishing campaigns.
It looks like Cyberpunk future we never asked is already here.
I wonder if ChatGPT combined with a voice generator can mount successful phishing campaigns.
It looks like Cyberpunk future we never asked is already here.
They did this in one of the Harry Potter books (the sixth one?) since it is easy for them to impersonate other people.
If you can’t tell me my favorite flavor of jam then you aren’t getting my money.
Without a massive cultural revolution putting the brakes on this, which I can't imagine coming from anywhere, I fear we're barreling into a future where nothing is true anymore, a hall of mirrors where the capacity to fake anything at all far surpasses anyone's ability to make sense of it.
I don't say this to mean, "oh, and they were wrong because everything turned out OK" If anything, we have had generations that grew up with this dysfunction in a normalized way, and it took another advanced in tech to really see it again.
(To take it further back into history, I think I now get what Cervantes was trying to say with the image of Don Quxiote tilting at windmills. It seemed so absurd, amusing, and quaint when I read it as a teen).
What we are growing now is a system that can give each and every one of us our own reality, and if it succeeds, what of society?
HEMINGWAY: I notice you write about political issues and philosophy.
WALLACE: Thank you, I noticed you write about raw experience and manliness.
HEMINGWAY: Well, whatever our differences I feel like we can get along and work together. We will soon be fast friends.
I wonder how long until someone pirates every ebook on Z-Library or SciHub and trains a language model off that. Imagine a language model that's read every book and every scientific paper.
There’s a lot of papers that discredit older papers or work or entire subfields of study and the current large language models would just all all of it and go “these are words” with no analytical reasoning applied.
These are predictive mechanisms not analytical ones and until we get a better handle on how we can make them “stop and think”… I’m just not sure how much benefit each larger dataset will add beyond “sounds more human” while it’s core problems of “still hallucinates” and “can’t do basic reasoning” remain.
Also one question I’ve got on this front is how much duplicate data is processed out of the input sets? Using LibGen as an example there’s a lot of books that get reprinted and uploaded multiple times in different formats… does having these remain in the data provide a “valuable bias” or is it something that needs removing? Do the people building large language models pre-process their data to de-duplicate out these kinds of things from their current data sources?
Years and years of bad software practices, corporate cost cutting measures resulted in a planet scale cybersecurity mess.
Current hacking scene is more similar to 80s than early 2000s, it is extremely hard to catch advanced actors.
Color me skeptical.
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