Andrej Karpathy, the former Tesla AI chief and OpenAI co-founder, just released an open-source tool that scores every major U.S.
In 2000, the music industry had a problem it misdiagnosed. Napster was stealing albums. The fix was obvious: stop the theft, protect the bundle.
By the end of 2025, arguments about whether AI 'works' have quietly ended. The technology works well enough that 86% of professionals report time savings—yet 69% hide their use from colleagues. Not because AI fails, but because they fear judgment, job loss, or simply getting assigned more work for the same pay. The real questions are no longer about capability but about who is using AI, for what, under what constraints, and at what cost.
In early 2024, McDonald's made a quiet announcement: after three years of testing AI-powered drive-through ordering across more than 100 U.S.
For decades, software engineers have endured a peculiar form of professional imposter syndrome. While their colleagues in mechanical, civil, and chemical…
Christina Wodtke, veteran product designer and Stanford lecturer, captured something profound recently: "The old timers who built the early web are coding…
Microsoft's experimental TinyTroupe library has evolved significantly since its initial release, with a major academic paper and the recent 0.4.0 update transforming what started as an internal hackathon project into a sophisticated toolkit for simulating human behavior. The open-source Python library lets businesses create virtual focus groups, test advertisements on synthetic audiences, and generate realistic data—all without the cost and complexity of traditional market research.
Large language models like GPT-4 and Claude have a seemingly magical ability: show them a few examples of a new pattern, and they can immediately apply…
The software development landscape has undergone a seismic transformation, with AI coding assistants reaching 76% developer adoption and $45 billion in…
The latest generation of AI models from OpenAI, Anthropic, and others promise something revolutionary: machines that can "think" before they answer.