▲ 243 ▼ Reddit Advised to Target at Least $5 Billion Valuation in IPO (www.bloomberg.com) submitted 2 years ago by ardi60@reddthat.com to c/technology@lemmy.ml 167 comments fedilink hide all child comments
[–] ajsadauskas@aus.social 5 points 2 years ago (2 children) @pixxelkick @ardi60 Well, if anyone wants to buy it for that purpose, then I just hope they remember to screen out the more NSFW parts of Reddit. Otherwise, their bots are going to start giving some rather unfortunate responses to customer questions... permalink fedilink source parent hideshow 4 child comments replies: [–] tryptaminev@feddit.de 4 points 2 years ago I am looking forward to the hilarity of it for a while though. "Cooking bot, i have found this cucumber i need to use before it gets bad. What can i do with it?" "Shove it up your rectum" Could lead to a lot of interesting lawsuits and let a lot of MBA bros look rather stupid. permalink fedilink source parent [–] pixxelkick@lemmy.world 1 point 2 years ago Most LLMs have tonnes of NSFW data in their training. Typically, if this wants to be blocked, a secondary RAG or LORA is run overtop to act as a filtering mechanism to catch, block, and regenerate explicit responses. Furthermore, output allowed lexicon is a whole thing. Unfiltered LLMs without these layers added on are actually quite explicit and very much capable of generating extremely NSFW output by default. permalink fedilink source parent
[–] tryptaminev@feddit.de 4 points 2 years ago I am looking forward to the hilarity of it for a while though. "Cooking bot, i have found this cucumber i need to use before it gets bad. What can i do with it?" "Shove it up your rectum" Could lead to a lot of interesting lawsuits and let a lot of MBA bros look rather stupid. permalink fedilink source parent
[–] pixxelkick@lemmy.world 1 point 2 years ago Most LLMs have tonnes of NSFW data in their training. Typically, if this wants to be blocked, a secondary RAG or LORA is run overtop to act as a filtering mechanism to catch, block, and regenerate explicit responses. Furthermore, output allowed lexicon is a whole thing. Unfiltered LLMs without these layers added on are actually quite explicit and very much capable of generating extremely NSFW output by default. permalink fedilink source parent