Why AGI is pure fantasy dives into the 2025 AI landscape, then outlines the hurdles—building unified world models, mastering continuous learning (circa 2030), implementing System 2 reasoning by 2035, crafting self-directed goals by 2040 and wrestling with AI governance around mid-century. The hosts reference cutting-edge research (LBMs, JEPA) and classic thought-system theories to show why each stage is a serious bottleneck on the road to AGI.
Aimed at anyone losing sleep over runaway AI, the video ends with a plea: let’s hold podcast guests to sharper, prep-driven questions (no more rambling interviews) and brush up on AI engineering fundamentals—whether through their course or your own deep dive—before panicking about sentient machines.
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