Ten in thirty days
A release every three days. No evaluation, procurement or review process runs at that speed, which means the trackers have become the field's primary literature.
What replaced the literature
A release every three days outruns every verification process the field has. So the release trackers — which record what shipped and what the vendor claimed — have quietly become the primary record. They cannot verify, cannot reproduce, and have no incentive to be sceptical.
A field that cannot check the current generation before it is superseded is accumulating unchecked claims.
The correction, when something turns out not to hold, arrives long after the model shipped into production somewhere. That is the actual risk of this cadence, and it is not about capability at all.
The edge moved to procurement
One summary of the month put it plainly: the advantage now is picking the right model per task at the right price under the right privacy rules. That is a procurement skill. The people who win at it will be buyers with good evaluation harnesses, not labs with good researchers.
Where the real disagreement is
Underneath ten releases that mostly differ by degree, there is one genuine architectural fork: a 30B dense model with a million-token window against a field that went sparse.
Dense means every parameter participates in every token — more expensive, no routing layer. The argument for it is consistency across long agentic trajectories. The argument is asserted more than demonstrated, and the benchmarks that would settle it do not exist.
What this asks of you
Stop buying on leaderboards. Build a small evaluation on your own workload that you can re-run in an afternoon, and treat vendor benchmarks as marketing with a factual basis.
When the target moves every three days, the durable capability is not knowing which model is best. It is being able to find out by Thursday.
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