The AI gap: How human review is starting to fall behind

Yahoo Finance ·

The AI gap: How human review is starting to fall behind Yahoo Finance Video Tue, October 13, 2026 at 11:00 AM EDT GOOG +0.78% In The Loop host Ejaaz Ahamadeen breaks down the growing gap among people when it comes to understanding AI and LLM capabilities. he goes, there are around 6 billion people in the world, which are roughly 75% of the population that have barely come into contact with LLMs at all. Maybe they know what Anthropic or Open AI is, they know what this chat GPT thing is. Maybe they've written one prompt on the free version, but they don't really care because it doesn't affect their lives seemingly to them right now. And then one to two billion people, which is around 20% of the human population are casual and infrequent users of the free tier ChaT like products. So they use them as kind of like a Google search query. It's a better version of Google, but they're not really using AI agents, they don't really get the point of using coding for themselves, even though AI coding applies to a lot more people than software engineers and to be honest, maybe we should make an episode on that at some point. But the idea here is there's a jagged frontier, there's a gap, there's a wall being pulled over everyone's eyes as to how good these models actually are. And that's the point that Ka makes, he says there's no 006% of individuals, 5,000 people that actually get access to internal models that aren't publicly released and the cognitive dissonance that these people are experiencing is huge. Like the the way I would think about it is let me, let me see how I would describe this. For the entirety of humankind, intelligence and humans have been very closely interlinked. That's because in order to get breakthroughs in intelligence or discover new inventions and create new things, humans were the ones that were doing it. using our own nogins in here, using our own brains, our biological matter. We had to think about things, we had to discuss, approach new perspectives and try and figure out new ways to invent things. So intelligence and humans were very closely interlinked. And then computers came on the scene, right? And suddenly we could get access to many different parts of information, but it was still humans, humans had to comprehend all this information, they could learn from each other, they could share and collectively that brought humanity and intelligence up even quicker. So that intelligence curve kind of steeply increased, but humans were still very much with that intelligence ceiling. And then AI came on the scene in all of its artificial glory, and that gap started to separate. Intelligence started to increase as a ceiling, but humans weren't necessarily as close to it. And recently with all these breakthroughs in frontier math and discovering things that humans couldn't actually figure out themselves for millennia, intelligence is starting to break through. So I don't know if this analogy is still working if you can see my hands, but it's starting to accelerate really rapidly at a fraction of the cost that it took humans to do. They can work 24 7 with all these AI agents figuring it out for us. But the humans are falling drastically behind because we don't actually understand the solutions and all these breakthroughs that AI models themselves are making. So we are at the same time creating the thing but breaking away from it. And those 5,000 people that Andre Coti talks about on this tweet here are maybe the closest, but even they are falling behind. That's the whole point of this episode. We are creating these very powerful artificial intelligent models, but we are at the same time losing the grasp of understanding what these things are, both from an alignment perspective and just from a solutions perspective.

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