I’ve tried coding and every one I’ve tried fails unless really, really basic small functions like what you learn as a newbie compared to say 4o mini that can spit out more sensible stuff that works.
I’ve tried explanations and they just regurgitate sentences that can be irrelevant, wrong, or get stuck in a loop.
So. what can I actually use a small LLM for? Which ones? I ask because I have an old laptop and the GPU can’t really handle anything above 4B in a timely manner. 8B is about 1 t/s!
Currently I’ve been using a local AI (a couple different kinds) to first - take the audio from a Twitch stream; so that I have context about the conversation, convert it to text, and then use a second AI; an LLM fed the first AIs translation + twitch chat and store ‘facts’ about specific users so that they can be referenced quickly for a streamer who has ADHD in order to be more personable.
That way, the guy can ask User X how their mothers surgery went. Or he can remember that User K has a birthday coming up. Or remember that User G’s son just got a PS5 for Christmas, and wants a specific game.
It allows him to be more personable because he has issues remembering details about his users. It’s still kind of a big alpha test at the moment, because we don’t know the best way to display the ‘data’, but it functions as an aid.
Hey, you’re treating that data with the respect it demands, right? And you definitely collected consent from those chat participants before you Hoover’d up their [re-reads example] extremely Personal Identification Information AND Personal Health Information, right? Because if you didn’t, you’re in violation of a bunch of laws and the Twitch TOS.
If I say my name is Doo doo head, in a public park, and someone happens to overhear it - they can do with that information whatever they want. Same thing. If you wanna spew your personal life on Twitch, there are bots that listen to all of the channels everywhere on twitch. They aren’t violating any laws, or Twitch TOS. So, *buzzer* WRONG.
Right now, the same thing is being done to you on Lemmy. And Reddit. And Facebook. And everywhere else.
Look at a bot called “FrostyTools” for Twitch. Reads Twitch chat, Uses an AI to provide summaries of chat every 30 minutes or so. If that’s not violating TOS, then neither am I. And thousands upon thousands of people use FrostyTools.
I have the consent of the streamer, I have the consent of Twitch (through their developer API), and upon using Twitch, you give the right to them to collect, distribute, and use that data at their whim.
Quite arrogant after you just constructed a faulty comparison.
That’s absolutely not the same thing. Overhearing something that is in the background is fundamentally different from actively recording everything going on in a public space. You film yourself or some performance in a park and someone happens to be in the background? No problem. You build a system to identify everyone in the park and collect recordings of their conversations? Absolutely a problem, depending on the jurisdiction. The intent of the recording(s) and the reasonable expectations of the people recorded are factored in in many jurisdictions, and being in public doesn’t automatically entail consent to being recorded.
See for example https://www.freedomforum.org/recording-in-public/
(And just to clarify: I am not arguing against your explanation of Twitch’s TOS, only against the bad comparison you brought.)
You’re both getting side-tracked by this discussion of recording. The recording is likely legal in most places.
It’s the processing of that unstructured data to extract and store personal information that is problematic. At that point you go from simply recording a conversation of which you are a part, to processing and storing people’s personal data without their knowledge, consent, or expectation.
Literally not. The police use this right now to record your location and time seen using license plates all over the nation - with private corporations providing the service.
And yes, it’s called ‘expectation to the right of privacy’. Public venues are not ‘private’ locations, and thus do not need consent. You can, quite literally, record anyone in public.
Even the link you provided agrees.
Doesn’t Twitch own all data that is written and their TOS will state something like you can’t store data yourself locally.
I’m not storing their data. I’m feeding it to an LLM which infers things and storing that data.
Most US states are single party consent. https://recordinglaw.com/united-states-recording-laws/one-party-consent-states/
There is no expectation of privacy in public spaces. Participants to these streams which are open to all do not have a prohibition on repeating what they have heard.
Right and what I was saying was even if it wasnt “public”, single party consent means the person recording can be that single party- so still a non-issue.
Surely none of that uses a small LLM <= 3B?
Yes. The small LLM isn’t retrieving data, it’s just understanding context of text enough to know what “Facts” need to be written to a file. I’m using the publicly released Deepseek models from a couple of months ago.
sounds like salesforce for a twitch setting. cool use case, must make fun moments when he mentions such things.
Esp. if the LLM just hallucinates 50% of the “facts” a about the users 👌
That hasn’t been a problem at all for the 200+ users it’s tracking so far for about 4 months.
I don’t know a human that could ever keep up with this kind of thing. People just think he’s super personable, but in reality he’s not. He’s just got a really cool tool to use.
He’s managed some really good numbers because being that personal with people brings them back and keeps them chatting. He’ll be pushing for partner after streaming for only a year and he’s just some guy I found playing Wild Hearts with 0 viewers one day… :P