Most people who work with AI long enough eventually discover the same trick. The first answer is not quite right, so instead of starting over, you send it back: Check your work. Find the weaknesses. Improve the answer. The second response often feels noticeably better. The argument is cleaner. An awkward paragraph disappears. The model […]
For most of the AI race, progress has been watched from the finish line. A new model arrives. Researchers measure how well it codes, reasons, solves mathematics or uses tools. The scores move upward, and the world concludes that AI has become more capable. Anthropic is now asking people to watch somewhere else: inside the […]
At the start of 2026, coding agents were still operating in the background of OpenAI’s research organization, helping researchers write code, troubleshoot experiments and move technical work forward. Within months, that balance shifted dramatically. Before June, total agent runtime was still below human labor. By mid-August, OpenAI says researchers were consuming 3.1 agent-workdays for every […]
Companies spend heavily learning what customers think. The harder problem is keeping that knowledge useful when the next decision arrives. A study becomes a transcript, the transcript becomes a presentation, and months later another team starts asking a familiar question. Much of the answer may already exist somewhere inside old interviews and research decks. Conveo […]
AI models have performed well on mathematics benchmarks before. OpenAI’s latest claim goes further, placing an unreleased model inside active research problems where the answers were not already known. OpenAI says an internal version of Astra produced 10 advances in mathematics and theoretical computer science. The company carefully describes the results as either resolving a […]