Working Paper Abstract Since the first large language model (LLM) chatbot was released to the public, leading experts in AI, catastrophic risk, economics, and cybersecurity, among others, have warned about the unprecedented risks caused by interactive LLM bots trained on large-scale, unstructured data. Although theoretical methods have been proposed, and incremental improvements are occurring, to… Read More
A million in prevention can be worth billions of cure with distributed AI systems
Every year, natural catastrophes (nat cat) are highly visible events that cause major damage across the world. In 2016 the cost of nat cats were estimated to be $175 billion, $50 billion of which were covered by insurance, reflecting severe financial losses for impacted areas.[i] The total cost of natural catastrophes since 2000 was approximately $2.3 trillion.[ii] Read More
New E-Book: Ascension to a Higher Level of Performance
I just completed an extensive e-book for customers and prospective customers, which should be of interest to all senior management teams in all sectors as the content impacts every aspect of individual and corporate performance.
Ascension to a Higher Level of Performance
The Kyield OS: A Unified AI System Read More
Data Integrity: The Cornerstone for BI in the Decision Process
Structural integrity in organizations, increasingly reflected by data in computer networking, has never been more important. The decision dimension is expanding exponentially due to data volume, global interconnectedness, and increased complexity, thus requiring much richer context, well-engineered structure, far more automation, and increasingly sophisticated techniques. Read More
