China has caught up is the main takeaway here. The SOTA models are so close that it's really hard to compare them intelligence wise - you have to get a feel for them yourself and what works for you. What I'm really excited for is the 27B model. 3.6 is still the king of local, and if 3.8 makes the same improvements it could really legitimately make local viable as a default. I'd love to run a perpetual agent on 3.8 th…
Another potential takeaway is that the models all gathering around the same point supports the idea that there is a ceiling to LLM capability.
So instead of relying heavily on human bottlenecks, you focus on agentic task verification since that's the low hanging fruit and verifiable at scale?