Episode Details

GPT-4 just scored in the 90th percentile on the bar exam. That means it beat 90% of human lawyers on a test designed specifically for humans. And that's just one of 700+ tasks where AI has now officially surpassed human performance. The superintelligence conversation isn't some distant sci-fi scenario anymore. We're watching it happen in real time, from AlphaFold solving 50-year-old protein folding mysteries to Chinese surveillance systems identifying faces in crowds of 50,000 people with 95% accuracy. But here's what most coverage misses: understanding these capabilities helps us spot the real risks before they become problems. James Caldwell breaks down what 700 human-level AI achievements actually mean for the next five years. You'll understand why computational costs still matter (GPT-4's training bill hit $100 million), how current limitations create unexpected bottlenecks, and which specific capabilities we should be watching most carefully. In This Episode: > Why beating humans at tests doesn't equal general intelligence > The resource constraints that still govern AI development > Which AI capabilities pose immediate vs theoretical risks > How to think about regulation when technology moves this fast Timestamps: 00:00 Introduction 02:15 The 700 tasks breakdown 04:30 Computational limits vs capabilities 07:20 Real vs imagined risks 09:45 What to watch next The gap between AI hype and AI reality is shrinking fast. Follow Unboxed to stay ahead of what's actually happening, not what's being promised. New episodes drop multiple times daily because AI doesn't wait for anyone.

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