I compared AI policies across 25 universities and found Ashoka, IIT Madras, and SUTD ranked lowest. I had conducted sessions at all three, a reminder that correlation does not imply causation.
I used ChatGPT to research universities' AI policies and found that reliable results require concrete failure examples, explicit error-finding, and small batches rather than vague requests to double-check.
I highlight a critique of three websites, including two based in India, that implement remarkably poor security policies. The linked post examines how these platforms fail to prioritize basic digital safety and user data protection.
I challenged several LLMs to generate funny Tamil puns ending in ".ai". While DeepSeek and Claude struggled with accuracy, Gemini captured the cultural nuance perfectly with clever wordplay like Tholl.ai (annoyance) and Kaval.ai (worry).
I used the Claude Code agent to search 24,000 Wikipedia entries for names starting and ending with "AI." In ten minutes, I identified ten individuals, including Aishwarya Rai and Ai Nagai, through automated pattern matching and scripting.
I analyzed 315 AI-authored papers reviewed by three AI systems and humans. The AIs often disagreed, overstated confidence, and scored papers more generously, but caught obvious factual problems.
