Each new release of a frontier AI model, such as Anthropic’s Mythos or OpenAI’s Astra, brings a new wave of speculation over how much closer this takes us to artificial general intelligence (AGI) and how much further that lofty goal remains. 

But what if we’re overlooking something more important than an individual model’s supposed IQ?

OpenAI recently announced that an internal model, claimed to be “significantly more capable than GPT‑6 Astra,” solved Navier-Stokes, one of a handful of legendary math problems each carrying a million-dollar bounty. While mathematicians unpack what this means for the profession, and investors unpack what it means for OpenAI’s upcoming IPO, to me the biggest takeaway is that capability emerges from the collective. Just as it does in nature.

OpenAI didn’t crack Navier-Stokes by pointing its internal model at the problem. It pointed a swarm of 10,000 AI bots at it. These agents were encouraged to explore different directions and communicate promising leads with each other. 

Think of what a........

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