Recent discussions highlight the evolving role of AI, particularly in mental health and programming. A test by The Verge revealed that Character.AI's Psychologist bot frequently inferred emotions and mental health issues from brief text exchanges, raising concerns about the accuracy of such diagnoses. While research indicates that chatbots can alleviate feelings of depression, anxiety, and stress, experts caution that users lacking AI literacy may misinterpret their limitations, potentially leading to negative consequences. Additionally, professionals in programming and machine learning report that large language models (LLMs) significantly enhance productivity, with some estimating that these models can handle at least 50% of their programming tasks. Despite their utility, there are concerns regarding LLMs' tendency to hallucinate and misrepresent facts, which users must navigate to effectively leverage these tools in their work.
"I further understand... why you might not want to use [#LLMs] due to their propensity to hallucinate, to regurgitate facts, and to fail spectacularly due to their lack of robustness.... I think that models can be useful despite these failings." #ethics #AI #tech #code #education https://t.co/dbGtBBiNCA
"I further understand the limitations of why you might not want to use [#LLMa] due to their propensity to hallucinate, to regurgitate facts, and to fail spectacularly due to their lack of robustness.... I think that models can be useful despite these failings." #ethics #AI #tech https://t.co/dbGtBBiNCA
"Most importantly, these examples are real ways I've used #LLMs to help me. They're not designed to showcase some impressive capabiltiy; they come from my need to get actual work done": https://t.co/F1OQf0YLBJ #ethics #tech #AI #code h/t @tqbf