LLMs also enables managers and businesses who want to make money with shitty products, which is probably a higher detriment to code quality than the low-level difficulties of programming ever was.
Either way, IMO the prime use of AI, including LLMs, is mass surveillance. And no, that’s not a good thing.
i find it funny how people freak out over Cambridge analytica, but when you change the name to AI and increase the data 1000x from just stealing user data from facebook to user data on every service “everyone seems to love it” and feed it more data.
Yeah for sure. Facial recognition as used in mass surveillance AFAIK uses very similar machine learning tech you can use quite successfully (AFAIK) to aid diagnostics in medicine, environmental conservationism etc.
Facial recognition, gait recognition etc. (i.e. a different kind of machine learning) is probably more important for surveillance, but LLMs can play a role, too. Websites, unencrypted messengers, email servers etc. have been collecting craptons of text data, but before LLMs it was fairly difficult to analyse all of it if you don’t have a place to start like “user username with IP address xxx.yyy.zzz.pp called the president a butthole on dd/mm/yyyy”. You could always filter for keywords, but people get creative about it, which is substantially harder when LLMs are used for analyzing. So yeah, “nasty data processing tools”, and that’s actually a big issue because of how nicely it slots into the network of mass data collection that companies have been building for targeted advertising (or so they say, to me it was always clear that a lot of them were already using it for more nefarious purposes).
And e.g. I assume that you can identify most people just by their writing style across tens of otherwise unrelated accounts.
Also, it’s not like you can’t use the hardware that’s training or running LLMs for other kinds of machine learning.
Machine learning was being used for security/traffic cameras for years before LLMs or Flock so yeah. Detecting patterns/shapes in images and text is what this tech was created for.
LLMs also enables managers and businesses who want to make money with shitty products, which is probably a higher detriment to code quality than the low-level difficulties of programming ever was.
Either way, IMO the prime use of AI, including LLMs, is mass surveillance. And no, that’s not a good thing.
i find it funny how people freak out over Cambridge analytica, but when you change the name to AI and increase the data 1000x from just stealing user data from facebook to user data on every service “everyone seems to love it” and feed it more data.
Agreed. I see some good use cases for the tech but the surveillance is obviously disproportionately bad.
Yeah for sure. Facial recognition as used in mass surveillance AFAIK uses very similar machine learning tech you can use quite successfully (AFAIK) to aid diagnostics in medicine, environmental conservationism etc.
How is LLM facilitating mass surveillance (except help build nasty data processing tools). Reading through unstructured ingested data?
Facial recognition, gait recognition etc. (i.e. a different kind of machine learning) is probably more important for surveillance, but LLMs can play a role, too. Websites, unencrypted messengers, email servers etc. have been collecting craptons of text data, but before LLMs it was fairly difficult to analyse all of it if you don’t have a place to start like “user username with IP address xxx.yyy.zzz.pp called the president a butthole on dd/mm/yyyy”. You could always filter for keywords, but people get creative about it, which is substantially harder when LLMs are used for analyzing. So yeah, “nasty data processing tools”, and that’s actually a big issue because of how nicely it slots into the network of mass data collection that companies have been building for targeted advertising (or so they say, to me it was always clear that a lot of them were already using it for more nefarious purposes).
And e.g. I assume that you can identify most people just by their writing style across tens of otherwise unrelated accounts.
Also, it’s not like you can’t use the hardware that’s training or running LLMs for other kinds of machine learning.
I’m guessing they meant AI in general
Machine learning was being used for security/traffic cameras for years before LLMs or Flock so yeah. Detecting patterns/shapes in images and text is what this tech was created for.