My Cybersecurity Journey as a Student : From Curiosity to Finding My Own Way of Learning

Beyond the API Meter: Why AI's Next Chapter Belongs to Local Hardware and the Engineers Who Build It A perspective on where generative AI is headed — and why the ground is already shifting under the "pay-per-token" model we've all gotten used to. Every few weeks right now, a new AI model lands — from Anthropic, OpenAI, Google, Meta, Moonshot AI, DeepSeek, and a growing list of labs I hadn't even heard of a year ago. Each release claims to be smarter, faster, or safer than the last. But underneath all the noise, one pattern has started to bother me: models that perform almost identically on the same benchmarks can be priced worlds apart. And once you notice that, a much bigger question follows — is the entire "rent intelligence by the token" model even built to last? This post is my attempt to work through that question. It's part observation, part prediction, and part argument for where I think ambitious engineers — myself included — should be poi...

Tech Changes in the AI Era — End of Week Newsletter Weekly AI Newsletter • Tech Changes in the AI Era When AI Moves, the Whole Stack Moves. This week was not just about new model drops. It was about a deeper shift: assistants are becoming agents, costs are falling fast, and every major lab is racing to control the next layer of AI. By Paladugu Ganesh Naidu End-of-week edition AI • Models • Agents • Security This week’s signal The clearest story this week is not “bigger AI.” It is “smarter systems, cheaper access, and more autonomous behavior.” Apple pushed Siri into a more capable personal assistant, Meta entered the coding-agent race, Microsoft shipped new first-party models, OpenAI doubled down on security and platform cleanup, and Chinese labs kept shipping frontier-class models at a brutal p...