#059 World's First AI Augmented Human Podcast with Professor Yi-Zhe Song, Graeme Scott & Me

This week on GAEA Talks, a very special edition. Graeme Scott and Professor Yi-Zhe Song - Co-Founders of Turing Elite Research Labs - announce the launch of a new venture built to democratise AI from the United Kingdom, and debut the 'Me' augmented human AI model running entirely on local compute.This episode begins as a real conversation between Graeme and Professor Song - then, without warning, transitions into Turing Elite's augmented human AI. The challenge to every viewer: decide for yourself where reality ends and AI begins.This is the first public demonstration of the 'Me' model - a professional-grade, private augmented human AI trained on a fraction of the compute used by comparable systems and deployed to run entirely on local compute. It delivers two-person emotional interaction simultaneously, benchmarked against the real people it represents. Their known voices, expressions, characteristics and personalities. No cloud. No data centres. No internet connection required. The benchmark for successful augmented human AI is not a Turing test against a stranger - it is whether the person themselves, their close friends and their family cannot distinguish the difference between real and AI. Our benchmark is reality and the human experience. This is the first step on the path to real-time intelligent augmented humans with private knowledge, memory, insight and personality. Professor Yi-Zhe Song is one of the UK's most accomplished AI researchers - a Professor of Computer Vision and AI at the University of Surrey, Director of the world-leading SketchX Lab, Co-Director of the Surrey Institute for People-Centred AI, and Academic Lead at The Alan Turing Institute, the UK's national institute for data science and AI. Ranked consistently in Stanford University's World Top 2% Scientists list, his research into how human drawing informs machine vision has shaped the field for over two decades. His team’s NitroFusion, one of the world’s first single-step diffusion model for near-instant image generation on consumer hardware, demonstrated the core principle behind Turing Elite’s ‘Me’ model: that frontier-quality generative AI can run entirely on local compute. He holds a PhD from the University of Bath, an MSc (Best Dissertation Award) from the University of Cambridge, and a First Class Honours degree from the University of Bath.Graeme Scott is Co-Founder and CEO of GAEA AI and host of GAEA Talks, one of the fastest-growing AI podcasts on YouTube with over 1.2 million subscribers. His background spans the music industry, conflict zones, and enterprise technology, bringing a unique perspective on how AI should serve humanity, not the other way around.In this episode, we discuss:• The launch of Turing Elite Research Labs and why the UK is uniquely positioned to lead• Why expert models trained on your data outperform generalised cloud models - and cost a fraction to run• The world's first 'Me' augmented human AI model - private, local, emotionally intelligent and personally sovereign• The real-to-AI transition: this episode intentionally shifts from real conversation to AI - can you tell where?• Why the true benchmark for augmented human AI is whether your own family can't tell the difference• Why democratised AI running on consumer-grade hardware solves the energy, privacy and control crises simultaneously• How NitroFusion — SketchX’s breakthrough in single-step diffusion for consumer hardware — laid the architectural foundation for the ‘Me’ model: the same principle of distilling expensive multi-step generation into efficient real-time inference, extended from static images to dynamic audio-visual human rendering, all running locally• Why the era of giving away your data, creativity and intellectual property to train someone else's model is endinghttps://turingelite.aihttps://gaealgm.aihttps://personalpages.surrey.ac.uk/y.song/