In this episode of Agents of Tech, hosts Autria Godfrey and Stephen Horn dive deep into one of AI’s most pressing challenges: energy consumption. With the release of DeepSeek and rising concerns over compute power and costs, the race to build efficient AI is heating up.We speak to two pioneering researchers:Dr. Shreyas Sen (Purdue University), who’s developing nervous-system-inspired chips that connect wearables with ultra-low energy use.Dr. Hongyin Luo (MIT CSAIL / BitEnergy AI), whose work on Linear-Complexity Multiplication (L-Mul) may drastically cut compute cost and energy usage.Is the future of AI massive centralized data centers — or decentralized personal clouds and localized compute? And what happens when we run out of training data?👉 Don’t forget to like, comment, and subscribe to support meaningful tech discussions!⏱️ Timestamps / Chapters:00:00 - Introduction: Welcome to Agents of Tech00:20 - Why AI energy usage is an urgent issue01:00 - DeepSeek’s $6M run and the energy debate02:00 - The promise of mixture-of-experts and energy savings02:45 - Interview intro: Dr. Hongyin Luo (BitEnergy AI)03:25 - What is L-Mul and why it matters06:00 - Floating-point vs integer math in AI08:30 - Shifting compute from datacenters to the edge10:00 - Barriers to L-Mul adoption and FPGA innovation12:00 - The case for local family clouds13:30 - Moonshot idea: Stop pretraining to save energy15:00 - Interview intro: Dr. Shreyas Sen (Purdue University)15:45 - Wearable brains and nervous-system-inspired design17:30 - Conductive human body as an AI network19:00 - Brain-to-device communication breakthroughs21:30 - Data layers: cloud, edge, and leaf devices23:00 - Real-world use and commercialization of Wi-R tech24:00 - Future implications and distributed AI potential26:00 - Panel discussion: What does efficient AI really mean?28:30 - The end of training and rise of true intelligence?30:00 - From megawatt datacenters to household AI hubs32:00 - Wrap-up and reflections33:55 - Credits and thanks#ArtificialIntelligence #AI #EnergyEfficiency #GreenAI #EdgeComputing #BrainInspiredTech #WearableTech#NeuralNetworks #BodyPoweredAI #futureofai #SustainableTech #AIChips #AIInnovation #SmartWearables
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