The difference is the AI researchers have clear plots showing capabilities scaling with GPUs and there's not a sign that it is flattening so they actually have a case for saying that AGI is possible at N GPUs.
Sauce? How do you even measure "capabilities" in that regard, just writing answers to standard tests? Because being able to ace a test doesn't mean it's AGI, it means its good at taking standard tests.
