Summary of recent tweets

Arvind Narayanan has been tweeting about various topics related to AI research and its limitations. In one tweet, he discusses the double-edged nature of chatbots for learning, emphasizing the need for a strong understanding of their limitations. He also mentions using chatbots for coding and assistance in learning new topics, as well as occasional tasks like quickly checking papers for specific details. Another topic Arvind focuses on is the use of GPT-4 for research assistance. However, he expresses frustration with its performance in writing tasks, stating that it often rewrites original ideas into insipid verbiage instead of capturing their essence. Arvind also engages with other researchers' tweets regarding alignment issues in AI models. He highlights alignment problems leading to partial mode collapse and loss of calibration, which can negatively impact performance across various tasks such as time-series modeling and chess playing. As for trends in AI that Arvind touches upon, he discusses the violation of terms of service when asking ChatGPT to repeat words "forever," as well as the uncovering of France's secretive algorithm used by its social security agency. He also emphasizes the importance of model alignment methods in defending against accidental harms but acknowledges their susceptibility to intentional misuse. Overall, Arvind's sentiment towards AI seems mixed. While he recognizes the potential benefits and uses of AI technologies, especially in research assistance, he expresses frustrations with certain limitations and concerns regarding alignment issues and intentional misuse. Please note that this analysis is based solely on the provided tweets and may not reflect Arvind Narayanan's complete perspective on these matters.