I just found out this is a technique called coercive prompting, where the system applies emotional pressure on the LLM to generate more accurate responses. It seems like a clever hack but I wonder if it scales well. Have you tried something like this?

I've recently been supporting my 17 year old daughter apply for part-time jobs via the typical online job sites. The process has almost become a assortment of questions, quizzes or even using a chat bot to answer questions. Last night she took part in a recorded interview for a large supermarket. She was asked two questions and her response was recorded for 60 seconds which will likely be analysed by AI. Do you think this is a step to far or should AI be used to select appropriate candidates for a job?

https://defensescoop.com/2025/03/05/diu-thunderforge-scale-ai-combatant-commands-indopacom-eucom/ Military AI Deployment: The U.S. military's Indo-Pacific Command and European Command are set to receive new generative AI capabilities for operational planning and wargaming. This initiative, called Thunderforge, aims to modernize military planning processes using AI technologies from Scale AI and its partners.

I just read the following article, and get truly inspired. It challenges you to a new and better way to learn, a more obvious approach. https://machinelearningmastery.com/youre-wrong-machine-learning-not-hard/ What do you think about this learning approach? Leave your impressions below!

Huggingface's Chatbot Arena Leaderboard currently has Grok 3 in the lead. Do you agree? All the model developers are pushing boundaries—but which models are best for which tasks? 🔹 Best LLM for reasoning? 🔹 Best for code generation? 🔹 Best for multimodal tasks? 🔹 Underrated models that deserve more hype? Drop your thoughts below. Which AI model is your go-to, and why? Let’s compare notes! 👇🔥