Artificial Intelligence

Most developers ask AI tools to write a function or fix a bug. That’s fine, but here’s the cheat code I discovered: treat AI like a developer on your team. When I do that, everything changes. The Pattern I Discovered I use AI tools every day in my professional work and personal projects. Claude, ChatGPT, Gemini; I subscribe to all of them. Over time, I’ve noticed a pattern. These tools excel at zooming in. By that, I mean they’re excellent at specific tasks: generating code, writing tests, refactoring functions, etc… . We all know this. ...

OpenAI recently released the GPT-5 family, introducing three distinct options for Pro users: GPT-5 Fast, GPT-5 Thinking, and GPT-5 Pro. While it’s common knowledge that GPT-5 Fast handles simple tasks and GPT-5 Pro tackles complex ones, the underlying mechanisms remain unclear to many users. This post provides a concise explanation of how each variant operates and when to use them effectively. GPT-5 Fast For the context of this article, we will use GPT-5 Fast as our base model, think of it as a black box optimized for speed, good old LLM. When you submit a query, it processes the request and delivers an answer quickly without extensive deliberation. ...

We keep hearing this: “AGI is coming.” But what exactly is AGI? Let’s explore this critical question. Three Different Lenses Let’s look at AI through three different lenses. The Economics Lens OpenAI defines AGI as “highly autonomous systems that outperform humans at most economically valuable work.” Their focus is entirely economic—it’s about jobs and economic productivity. When framed this way, the definition essentially states: if AI surpasses humans at most work that people are paid to perform, then we have achieved AGI. The moment AI can produce the majority of economically valuable work, we’ve crossed the AGI threshold. ...