In this episode of the Disambiguation Podcast, host Michael Fauscette welcomes Michael Azoff, Chief Analyst at Omdia and author of "Toward Human-Level AI." Together, they explore the fascinating journey towards achieving human-level artificial intelligence (AI) and the significant gaps that still exist between current AI capabilities and true human-like intelligence.

Michael Azoff shares his insights on the challenges facing AI, including the limitations of large language models, the importance of inner motivation, and the role of embodied intelligence. They discuss how advancements in neuroscience can inspire the next generation of AI and the potential implications for businesses and society as a whole.

Tune in to discover:

The key characteristics that define human-level intelligence

The impact of neuroscience on AI development

The exciting and concerning use cases of AI in various sectors

The future of AI, including the potential of neuromorphic computing and agentic AI

Don't miss this thought-provoking conversation that delves into the intersection of technology, neuroscience, and the future of work!

Michael Azoff recommends: Dr Angie Ma, co-founder of faculty.ai

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For more research on AI and other software, visit arianeresearch.com. If you're an expert in AI, generative AI, or business automation, reach out to us at [email protected].

Join us next week for another enlightening episode!