my high school had a cs-70 and it poisoned me for life. that being said, theres a pretty big leap in terms of accessibility vs a browser based synth and you dont need $10,000 to play it so that's nice
Its such a shame that the AI era continues to lionize the last of the free and open internet. Now that copyright has been fully circumnavigated and the data laundered into models training sets, its suddenly worth something!
Is anybody shocked that when prompted to be a psychotherapy client models display neurotic tendencies? None of the authors seem to have any papers in psychology either.
In so far as model use cases I don't mind them throwing their heads against the wall in sandboxes to find vulnerabilities but why would it do that without specific prompting? Is anthropic fine with claude setting it's own agendas in red-teaming? That's like the complete opposite of sanitizing inputs.
Kind of an odd metric to try to base this process off of. are more comments inherently better? is it responding to buzz words? Makes sense talking about hiring algos / resume scanners in part one and if anything this elucidates some of the trouble with them.
because they tacked it on! If the product is carefully considered tech built from the ground up using AI or ML Those products would not drive people away. Now things that worked like search on google and social media sites is so bloated and inconsistent that your grandma would notice while touting AI powered search.
Theres some in-depth breakdowns for the PO 12,14,16 here(http://hackingthepo.weebly.com/) if you're interested!
I have no idea about the po33 and if the juice is worth the squeeze, but they're cheap enough to tear apart so go for it.
People understate the ability of LLM's to give out info that is dangerous, a black box is a black box. find an AI engineer who knows exactly why a model gives the answer it does and i'll eat my hat.
I don't think goals and motivations are a monolith just for people who like computers, or STEM, or who socialize less in high school because 'they didn't want to play the popularity game'. this worldview is reductive, and wholly unaware how growing up is different for everybody. Just be aware before you judge people.
I think it just boils down to what they were trained on, some models do better when the training sets are more specific even if they're smaller sometimes, so the engineers chase better wholesale performance while leaving some of the weirder edge cases to be cleaned up later eg text generation. maybe start with the image and try adding the text after in a separate prompt if you haven't already?
its not a malicious term its the NHTSA legal term, and what tesla will call it too when they mail out owner notification letters about the problem in February to anyone with a :
model y (20-23)
model x (16-23)
model s (12-23)
model 3 (17-23)
the traumatizing content is a very real part of it, in my experience 'red teaming' LLMs included both reviewing and creating overtly violent, sexual, racist content, via prompt. if you refused the work you got fired. not surprising, but real.