As AI models become more intelligent and capable, new false positives will arise and require iterative investigation and correction.

“like we need to like slow down a little or pace a little bit more um but yeah i think like reading back interpret like if you're looking to get into research this idea of like hey why is it hard to do this fallback easily or like why why are there false positives right but we are working of course on reducing the false positives of course as the models get more intelligent now they can do more things you know and they're like you know like what they can think about in the space gets difficult difficult until like”

“like as a more intelligent there's going to be new false positives that we need to figure out we need to iterate and and things like that but we're um yeah we're working on this and we do think this is like a critical part of you know like deployment of these models um and uh yeah like you know it means that we can like deploy this model without you having a perfect sandbox or something you know what i mean like you don't have to like”