Join us on HD/cast for a deep dive into the future of AI-driven economies. In this episode, we unpack the Agent Transaction Control Protocol for Intellectual Property (ATCP/IP)—a revolutionary framework empowering autonomous agents to negotiate, license, and trade valuable data without human oversight. Discover how these on-chain, legally binding agreements could reshape innovation, enable trustless collaboration, and unlock a new era of agent-to-agent IP exchange. Don’t miss this mind-expanding conversation!

Join us on this episode of HD/CAST as we delve into the hidden ideologies embedded within AI language models. We explore Meta's recent research, revealing how these models often mirror the worldviews of their creators, leading to biases in the information they provide. By analyzing how different LLMs describe political figures in English and Chinese, the study uncovers significant ideological differences influenced by language and regional development. We discuss the implications for users and developers, the challenges in achieving neutrality, and the importance of embracing ideological diversity in AI systems.

In this episode of HD/Cast, we delve into the surprising challenges that advanced AI models face with basic grade-school math. Despite their prowess in complex tasks like writing sonnets and real-time translations, these models often stumble over simple word problems. A recent study from Apple reveals why: AI models excel at pattern matching but struggle with true logical reasoning. We explore the GSM-Symbolic benchmark and the profound limitations it exposes, discussing why AI falls short when faced with varied and unexpected math challenges. Join us as we uncover what this means for the future of AI reasoning. Source: GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models