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What would actually have to happen before we could honestly say AGI has arrived?

In Episode 4 of Zero to Singularity, we explore the scientific, technical, and economic debate around Artificial General Intelligence and why there is still no universally accepted test for it.

We break down the strongest proposed signs of general intelligence: reasoning, memory, continual learning, autonomy, generalization, metacognition, tool use, world models, physical understanding, and the ability to adapt to unfamiliar problems. We also examine why high benchmark scores do not automatically prove general intelligence, especially when tests can become saturated, contaminated, scaffolded, or gamed.

The episode also tackles the biggest unresolved questions:

• Does AGI need a body?

• Does it need consciousness?

• Could an AI become economically “general” before becoming cognitively human-like?

• Are today’s models truly learning general skills—or becoming extraordinarily good at familiar kinds of tests?

• Could AGI arrive gradually enough that nobody agrees on the exact moment it happened?

We compare competing paths toward AGI, from scaling current models and inference-time reasoning to world models, embodiment, neuro-symbolic systems, and self-improving AI.

Zero to Singularity explores artificial intelligence from first principles to the technological frontier separating evidence from hype and asking what the next stage of machine intelligence would actually look like.