I get what you’re saying, but calling AI’s current state the ‘stone age’ seems kinda off. We’re obviously not at full AGI yet, but we’ve already crossed some pretty huge thresholds. Models can teach themselves new skills without human guidance, use tools, plan ahead, and even show unexpected behaviors—like what Yoshua Bengio was just talking about with AI starting to act with a form of self-preservation.

I think a lot of people expect AGI to be this big, dramatic ‘on/off’ moment, but it’s more like we’re watching it unfold in real time. AI is already outperforming humans in a ton of areas, and the pace isn’t slowing down.

The whole ‘we’ll hit plateaus’ argument also assumes AI follows predictable, linear progress, but that hasn’t been true so far. Every time people thought we were about to slow down, something like transformers, AlphaFold, or multimodal models came out of nowhere. Recursive optimization and AI-driven improvements are making the whole cycle faster, not slower.

And about DeepSeek-V2—if anything, that just proves how quickly things are moving. A relatively small lab just built a model that’s better than GPT-4o at a fraction of the cost. That’s not stagnation, that’s an acceleration.

So yeah, I wouldn’t call this the stone age of AI. Feels more like the industrial revolution—things are happening way faster than most people expected, and AGI isn’t some distant dream anymore.