Etiqueta: how to use AI

On August 5th, 2025, Anthropic released Claude Opus 4.1, which quietly climbed to the top of the rankings. Though the model didn’t get any over-hyped marketing campaigns, today, it sits at the top of LMArena’s leaderboard across all domains. LMArena is a platform where thousands of users compare AI models in blind tests to determine […]

Google’s Nano Banana AI image generator was released on the 26th of August 2025, and since has been getting praise from early users and tech reviewers who talk about its advanced capabilities and intuitive interface. People are saying it can handle complex photo edits through simple conversations, no technical knowledge required. Sounds pretty appealing, but […]

Another school year is starting, and you’re probably already imagining that long list of classes, assignments, and deadlines that need to be managed. Between juggling lecture notes, group projects, calendar scheduling, and research papers, staying organized can feel overwhelming before you’ve even attended your first class. The difference between students who excel and those who […]

Stop guessing what to type. These 20 proven prompts will save you hours on homework, essays, notes, and studying. ChatGPT has quickly become one of the most widely used study tools among students. According to a 2023 survey by Intelligent.com, 85% of students said using AI like ChatGPT helped them study more effectively, and 95% […]

Nano Banana is Google’s new image model built for contextual editing and photo‑real generation. In plain English: you tell it exactly what to change in a picture, and it edits only that while keeping everything else intact — lighting, perspective, textures, text on products, even a person’s face. Creators are already posting crazy examples on X and YouTube. Below are […]

Most people are disappointed with GPT-5 because they prompt it like GPT-4. It feels random, overconfident, or stuck in rabbit holes—and then gets blamed. The model changed; the prompting didn’t. GPT-5 acts like an agent. It plans, calls tools, carries state, and will press ahead unless you define the finish line. Big context and built-in […]

Unlike GPT-4o, GPT-5 was trained to be a worker, not a chatterbox. It plans, calls tools, follows rules, and carries state across long tasks. If you keep throwing casual prompts at it, you’ll leave a lot of performance on the table. The model responds best when you give it structure, constraints, and a clear finish line. […]

OpenAI’s launch of GPT-5 changed how ChatGPT works. Instead of choosing between models like GPT-4o, GPT-4.5 or o3, you now get one unified GPT-5 system. It responds quickly to simple prompts, but can automatically switch into a slower, more thoughtful mode called GPT-5 Thinking for complex questions. If you’re on a paid plan, you can also turn […]

Over the past few years, large language models like ChatGPT have become increasingly capable at answering a wide range of questions—from writing code and analyzing data to offering life advice. But even as their capabilities have grown, one thing remains inconsistent: the quality of responses. Users have often reported that answers from ChatGPT can vary […]

To many people, Perplexity might seem like little more than ‘Google with a chatbot’, but that’s only because most users don’t know what it’s capable of. While AI’s like ChatGPT give you answers from its training data (which could be months or years old), Perplexity searches the web in real-time, finds the most current sources, […]