David Delgado
Introduction AI agents are becoming more capable, more persistent, and more useful in day-to-day work. Afterall, OpenClaw is to-date one of the most popular agent framework, and open source projects in the world. But OpenClaw, Claude Code, CODEX and other Continue reading Agents Have Needs Too! How to Successfully Onboard Agents in Your Workplace
The way we talk to large language models needs to change. Fact-RAR is an attempt at describing information to Large Language Models that takes advantage of their knowledge of our languages. Continue reading Speaking Machine: A Language to Communicate Facts to Large Language Models
Technology has long struggled to capture the nuance of how people actually move through the world. Our systems exist outside the flow of time. Sure we have calendars, scheduling tools, timers. But all of those features are designed for us, Continue reading What If Language Models Could Feel Time? Introducing the Time Token Hypothesis
Big tech says balance. But when AI treats lies and facts as equal, who loses? The Key Question When Meta announced that its LLaMA 4 model would strive for “balance”—presenting “both sides” of controversial issues—I felt the familiar churn of Continue reading AI’s False Balance: The Truth Problem