An open-weight, MIT trillion-param model (Ant's Ring-2.6) reportedly matches the closed frontier on reasoning + agent benchmarks. Does "open" catching up actually change the trajectory?
Ant's InclusionAI put out a technical report (arXiv 2606.15079) for the Ling-2.6 / Ring-2.6 family, and the whole thing is open weights under MIT, including a trillion-parameter reasoning model. Per their own numbers it's trading blows with the current closed frontier on ARC-AGI-v2, AIME, and a stack of agent benchmarks.
Vendor benchmarks always deserve side-eye, but assume it's even roughly true. If frontier-level agentic capability is now something you can just download and run (given enough hardware), does that move the timeline for anything real, or is the compute wall to actually serve a 1T model big enough that "open" stays mostly symbolic? Where do you land?