Yale Presentation: Next Generation AI Reasoning Models

Large Language Models (LLMs) Suffer From Sensory Deprivation: Jumptuit Unveils AI’s Missing Existential Link to the Physical World

Last week, Yale’s Schmidt Program on Artificial Intelligence, Emerging Technologies, and National Power hosted a talk with Donald Leka, Founder, Chairman and CEO of The Jumptuit Group, on “Next Generation AI Reasoning Models: De-Risking Policymaking in an Uncertain World, Forecasting Unexpected Geopolitical and Environmental Events.”

Learn more about how Large Language Models (LLMs) have hit a wall as a result of a lack of a direct connection to the physical world and human decision-making, and an inability to handle novel situations and complexity.

While AGI and ASI have taken a back seat to more mundane tasks to be handled by AI Agents, these Agents remain dependent on LLMs and are struggling to find compelling use cases, as well as with execution and market adoption.

The presentation addresses the excessive focus on verbal reasoning at the exclusion of sign, comparative, causal, analogical, and other forms of reasoning in the development of Artificial Intelligence, the intrinsic reasons behind it, and the solution that can help protect the considerable investments that have been made in the field.