Setting the Stage for AI-Driven Networking Trends Imagine a digital world where algorithms don’t just predict consumer behavior but replicate the very way humans forge friendships and professional alliances. This is no longer a distant vision but a present reality as large language models (LLMs)
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
As we dive into the rapidly evolving world of artificial intelligence, I’m thrilled to sit down with Laurent Giraud, a renowned technologist whose deep expertise in machine learning, natural language processing, and AI ethics has positioned him as a thought leader in the field. Today, we’ll explore
Central question and scope: genuine care, covert surveillance, or a contested middle ground? In a moment when employers promise compassion at scale, the rise of AI that listens, counsels, and infers feelings poses a stark question that refuses to go away: does this technology genuinely care for
Deep image models have dazzled with accuracy, yet the most consequential story sat just out of view: not single neurons lighting up for neat human concepts, but webs of interconnected units assembling meaning layer by layer into circuits that actually drive what the model predicts and why it
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
