AIE Network Podcasts

Hosts Aaron Fulkerson and Mark Hinkle tackle the provocative question of whether large language models have hit a wall. With critics calling OpenAI's ChatGPT-5 'overhyped and underwhelming,' they discuss the slowdown in LLM advancements, why 95% of AI projects are failing, and how enterprises can harness AI without sacrificing data security. The episode explores the trough of disillusionment and what comes next for enterprise AI.

From Opaque's annual Confidential Computing Summit, hosts Aaron Fulkerson and Mark Hinkle interview key speakers about the agentic web, data security, and AI. Jason Clinton discusses the future of agents, MCP, and Anthropic's ASL-3 safety upgrade. Daniel Rohrer shares how NVIDIA handles AI security and scaling compute power. Daniel J. Beutel explains how Flower Labs uses federated learning to keep data secure in AI workloads.

Hosts Aaron Fulkerson and Mark Hinkle interview speakers at Opaque's Confidential Computing Summit. Mark Russinovich discusses new confidential AI developments from Microsoft Azure, including a framework for security levels in confidential computing. James Kaplan shares how enterprises are mining unstructured data with GenAI. Vinay Pillai explains how ServiceNow used confidential agents to cut sales commission help desk response times from four days to eight seconds.

Hosts Aaron Fulkerson and Mark Hinkle talk to Atin Sanyal about the growing reliability challenges in GenAI. The episode covers Galileo's ChainPoll hallucination detection methodology, which uses consensus scoring to improve output reliability. They discuss evaluation agents that get smarter over time, how enterprises can evolve their own AI quality metrics, and why data quality and confidential computing are becoming increasingly critical.

Hosts Aaron Fulkerson and Mark Hinkle talk to João Moura about building CrewAI, the agentic AI framework designed to make agent creation feel borderline magical. Inspired by the Ruby on Rails philosophy of convention over configuration, CrewAI prioritizes speed, clarity, and ease of use. The episode covers why interoperability across your stack is essential for scaling AI, how managers are uniquely equipped to build effective agents, and the dangers of agent washing.

Hosts Aaron Fulkerson and Mark Hinkle sit down with Sriram Raghavan at the AllThingsOpen.ai conference. Sriram leads a global team of over 750 research scientists and engineers at IBM Research AI. The episode explores IBM's belief that the future of AI is open source, their contribution of Docling, Data Prep Kit, and BeeAI to the Linux Foundation, and why IBM is leaning into smaller fit-for-purpose models that give developers choice over massive LLMs.