@ShriramKMurthi Aside from the ridiculously short memories many people have, they’re also largely inattentive and willing to jump to conclusions about the whys, what’s, and who’s. But what’s really aggravating in all of this, is how it gets recast as “he’s working hard to rescue it”. Ridiculous.
that’s why the right to a fair trial isn’t a human right (requires labor of judges) nor is freedom of movement (requires maintained roads and transit systems) or right to public safety (sorry, police, EMTs, firefighters), right to access food and water, right to an education. 🤷🏻♂️
@leopd Mahalanobis distance reshapes the data using the covariance matrix into a lower-dimensional, uncorrelated space - seems useful for scaling anomaly detection, clustering, or other ML tasks.
@DMeville Once on the table, merchant makes comments about the quality and appropriateness of the fish for him (ie inspecting it). If he’s happy with it, he throws some coins at you, and throws t the fish in a basket.
@DMeville NPC dialog reveals what kind of fish they��re looking for. Sometimes overly, sometimes subtly. Having the right kinds of fish yields better rewards from merchants. Merchants needs change over time. As for interaction UI, you place the fish on a table in front of the merchant.
@norootcause Sometimes fast, approximate, incorrect answers are useful - but only if you have the knowledge and context to adapt them and recognize where they’re wrong. The main risk is newcomers to any field/domain lack that, and are likely to accept LLM answers as authoritative.