Dustin Trainor

Imagine a healthcare system where financial operations run like a well-oiled machine, with claims processed in hours instead of days, errors nearly eliminated, and patients receiving clear, accurate billing without frustration. This isn’t a distant dream—it’s the reality being forged by intelligent

Today, we’re thrilled to sit down with Laurent Giraid, a trailblazer in the field of Artificial Intelligence with a deep focus on machine learning, natural language processing, and the ethical implications of AI. With a passion for transforming complex technologies into practical solutions, Laurent

Imagine a world where robots, soft and flexible as a human hand, assist surgeons in delicate operations or care for the elderly with a gentle touch, seamlessly blending into human environments without posing a threat. This vision, once a distant dream, is edging closer to reality thanks to

When a single prompt can trigger chains of reasoning, tool calls, and multi-modal outputs that ripple through customer experiences and compliance obligations, the hard part of AI no longer lives in model training but in proving that the whole agent behaves correctly under pressure and at scale.

Dustin Trainor sits down with Laurent Giraid, a technologist steeped in AI systems, machine learning, and the ethics that keep them safe and useful at scale. With MCP crossing its first year and surging to nearly two thousand servers, the conversation spans the hard edges of taking agentic systems

Why AI agents keep forgetting—and why it’s a business problem Long-running agents still behave like short-term guests: they arrive with a clean slate, work within a finite context window, and forget the conversation as soon as the session ends unless someone leaves breadcrumbs long enough to

A sharper way to ask the hard question What if the leap in robot reliability came not from ever-larger models but from a smarter split between thinking and doing that keeps language plans on a short leash and loops real-world feedback back into every choice the machine makes? The premise is blunt:

What if the key to transforming enterprise artificial intelligence lies not in colossal cloud servers, but in the unassuming devices already sitting on desks and in pockets? This provocative idea is at the heart of a groundbreaking shift led by Liquid AI, an MIT spin-off that has captured the

A Sharp Question At The Heart Of Malaysia’s AI Surge Malaysia captured 32 percent of Southeast Asia’s AI funding even as regional deal counts cratered to a fraction of their peak, and that paradox set up the most important tech question in the region: was this a durable shift in gravity or just the

As enterprises rushed to stand up AI workflows from data center to edge, Dell’s fiscal Q3 became a proof point that infrastructure demand can reset a company’s growth curve faster than a typical hardware cycle could, and the numbers backed up the shift in stunning fashion. Revenue reached $27