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HBO and The Ringer's Bill Simmons hosts the most downloaded sports podcast of all time, with a rotating crew of celebrities, athletes, and media staples, as well as mainstays like Cousin Sal, Joe House, and a slew of other friends and family members who always happen to be suspiciously available.
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In this episode of Everyday AI Made Simple, we dive into one of the hottest and most misunderstood topics in tech — Artificial General Intelligence (AGI) — and explore the new framework that claims to finally measure it.
Join us as we unpack Dan Hendricks’ “AGI Scorecard”, a groundbreaking approach that evaluates AI systems like GPT-4 and GPT-5 against the full spectrum of human cognitive abilities. You’ll learn why GPT-5’s 58% AGI score represents a major leap forward, how psychology-based models like CHC theory are reshaping AI measurement, and why memory and dependability remain the biggest barriers between today’s AI and true AGI.
We also break down the competing definitions and what these reveal about the global AI race. Whether you’re a developer, investor, or just AI-curious, this episode will give you a clear, actionable understanding of where we actually stand on the road to general intelligence.
👉 Tune in to discover:
- How the AGI Scorecard quantifies progress toward human-level cognition
- Why GPT-5’s 58% score matters for AI research, policy, and markets
- The critical memory bottleneck slowing AI’s path to reliability
- What the next frontier of AGI development could look like
2 episodes
