If you look at the IMDb titles with a 9+ rating and 50K votes this decade, there are only 4 entries. Every single one of them is an Indian TV series. Title Votes Rating Aspirants 316,390 9.1 Scam 1992: The Harshad Mehta Story 166,400 9.2 Sandeep Bhaiya 76,586 9.1 Sapne Vs Everyone 74,342 9.3 This is a new phenomenon. Last decade, there was only one Indian TV series in the same list: TVF Pitchers. ...
Scott Adams, the author of Dilbert, passed away last month. While his work will live on, I was curious about the best way to build a Dilbert search engine. The first step is to extract the text. Pavan tested over half a dozen LLMs on ~30 Dilbert strips to see which one transcribed them best. Here are the results. Summary: Gemini 3 Flash does the best, and would cost ~$20 to process the entire Dilbert archive. But if you want a local solution, Qwen 3 VL 32b is the best. ...
I continue to be impressed by Gemini 3 and it’s become my default agent. It writes in simpler language than ChatGPT (almost as eloquent as Claude), has much larger limits, and, of course, is unbeaten at generating images. The Gemini app has 3 modes: Fast, Thinking, and Pro. Here’s when to use each: Simple task, e.g., grammar check, translate, summarize, or basic question? Use Fast. Pro overthinks. Multi-step logic, e.g., planning a trip with constraints, checking 15 emails, or identifying a subtle error in code? Use Thinking. Flash-based thinking beats Pro. Large input, e.g. 300-page PDF, 2 hours of video, etc.? Use Pro. It uses the 1M+ token window well. Complex problem, e.g. PhD-level science or a legal contract review, with high stakes? Use Pro. If you hit your Pro limit (which is pretty high!), just switch to Thinking, which is smart enough for most jobs anyway. ...