AI and the Future of Work: Artificial Intelligence in the Workplace, Business, Ethics, HR, and IT for AI Enthusiasts, Leaders and Academics Artificial General Intelligence: Can Machines Really Think Like Us? (Special Episode)
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Oct 23, 2025 
In this special discussion, Peter Voss, CEO of Aigo.ai and AGI pioneer, explores defining AGI and the limitations of large language models. Babak Hodjat, CTO at Cognizant and co-creator of Siri, highlights the importance of embodiment in understanding intelligence. Pankaj Kedia, founder of 2468 Ventures, offers insights on the societal shifts AGI might bring, like democratizing creativity and redefining work. Together, they delve into the future of human-like machines and the ethical implications that arise.
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Episode notes
Compilation Framing By The Host
- Dan Turchin frames this special episode as a compilation of prior deep-dive interviews on AGI.
- He introduces guests Peter Voss, Babak Hodjat, and Pankaj Kedia and the episode's focus.
Definition: AGI As Universal Cognitive Learning
- AGI means machines that can autonomously learn any cognitive task to human competence or better.
- Peter Voss argues AGI targets desk-bound cognitive professions, not just robotics.
LLMs Are Powerful But Missing Core Cognition
- Large language models are an 'off-ramp' from true intelligence despite impressive behavior.
- Peter Voss emphasizes real-time learning, conceptualization, and metacognition as core gaps.
