Send us a textEngineered AI has achieved remarkable milestones, yet fundamental questions remain about whether it can ever reason, think, or truly understand like the human mind. Current systems, while powerful, expose the limitations of today’s technology, particularly the persistent neuroscience gap—the divide between brain research and cognitive psychology that prevents machines from replicating human-like cognition. This gap is compounded by the looming energy challenge, as the massive computational demands of AI training strain global infrastructure, in stark contrast to the human brain’s ability to operate on the energy equivalent of a 20W light bulb. These realities underscore the growing promise of neurocomputing, which seeks to emulate the brain’s structure and efficiency, offering a potential breakthrough in building systems that are not only more intelligent but also vastly more energy-efficient.In this episode, Sam Gupta engages in a LinkedIn live session with Michael Azoff, Chief Analyst, Omdia, in a live LinkedIn session to discuss LLMs: disembodied AI - it's not human-like AI as we imagine it.Background Soundtrack: Away From You – Mauro SommFor more information on growth strategies for SMBs using ERP and digital transformation, visit our community at wbs. rocks or elevatiq.com. To ensure that you never miss an episode of the WBS podcast, subscribe on your favorite podcasting platform.

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