Imagine spending your whole life becoming an academic expert. Then a random guy online tells you that you are wrong about your own field. And he's right. But you can never admit that. Because it would mean admitting that your life was a lie. That is the dilemma of many academics.
@deepfates@krishnanrohit You have to know how to code to successfully review and validate agent code.
Notice they say they don’t write code, but the PR review and QA process is still lots of manual checks. You have to know how to like,.. pop the hood and see if the agent is right or BSing beautifully.
@deepfates@krishnanrohit You have to know how to code to successfully review and validate agent code.
Notice they say they don’t write code, but the PR review and QA process is still lots of manual checks. You have to know how to like,.. pop the hood and see if the agent is right or BSing beautifully.
@unclebobmartin The user expectations are usually only obvious to them. Uniquely. Words are lossy. Therefore it is a sloppy process from start to finish.
@atmoio Yes and there is no inherent POV in reality…except relatively speaking: what we all agree on as our individual or cultural narratives.
AIs of all types essentially approximate entire manifolds of knowledge across all humans, but not one in particular- not yours.
@atmoio Deep learning/model training compresses the time frame for the evolutionary search but it still happens similarly to our learning, yet that training data input is certainly different than human perception (derivative of), thus the output is different type of intelligence.
HOt take: People that have success with LLMs are saying some absolutely bonkers shit, like sometimes not even undesrstanable english, but https://t.co/eleFfHOiKV