Setting the Stage for a New Era in AI and Social Impact Imagine a landscape where artificial intelligence not only drives technological breakthroughs but also becomes a catalyst for sweeping societal change. OpenAI, the powerhouse behind ChatGPT, has ignited this vision with a staggering $40.5
Imagine a world where business leaders can simply ask a chatbot, in plain English, to pull up the latest revenue figures or analyze delivery performance, and the system instantly delivers precise, trustworthy results. This isn’t a far-fetched dream but a pressing goal for enterprises leveraging
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
