Gemini

TL;DR for operators A Google paper on Gemini Apps reports that the median text prompt in May 2025 consumed 0.24 Wh, generated 0.03 gCO2e, and consumed 0.26 mL of water under a comprehensive production-serving measurement boundary.1 That is small. Very small. Less “boil the kettle” and more “squint at a television for nine seconds.” ...

TL;DR for operators A paper on a “real-time stock analyst” sounds, at first blush, like another attempt to place a crystal ball inside a chatbot and call it alpha. Fortunately, this one is more useful than that. Taniv Ashraf’s paper, A Serverless Architecture for Real-Time Stock Analysis using Large Language Models, is best read as a build-and-debug case study, not as evidence that Gemini can reliably predict stock prices.1 ...