Reader polls now cover the 2027 prediction, architectural boundaries, research priorities and a few lighter questions. Shared results are stored in Supabase.
The questions grow out of the guide’s existing definitions, model catalog and historical Jamba comparisons. Each poll includes context and a link back to the relevant evidence. The research record has not changed.
You can vote without an account, compare the results, change your answer, remove your ballot and share a link to a single question. A random browser cookie remembers your choices. Development votes are kept separate from the public results.
These are informal reader opinions, not a scientific survey, a new benchmark or an adjudication of the original wager. See the voting and privacy notes on the methodology page for the details.
The first edition documents 14 architectures, 18 historical benchmark rows and 12 research milestones. The original wager remains separate from our experiment.
The guide opens with three explicit definitions of Transformer-like: an attention backbone, hybrids included, and linear attention included. The same rules apply across the model catalog and the historical benchmark experiment.
The two benchmark baskets preserve Tables 2 and 3 of the Jamba paper. They are useful because one has a particularly clear boundary case: three of the five long-context tasks are led by Jamba. Counting that hybrid changes the majority. It is an illustration from 2024, not a current frontier ranking.
The catalog includes 2026 documentation for Qwen3.5, Nemotron 3 Super and Gated DeltaNet-2. Their architecture entries do not add their newer performance claims to an older comparison table.
On this review date the original wager page displays Yes. We have not treated that running status as an official final resolution. Future evidence changes and corrections will be recorded here with their source and review date.
A documented architecture, a comparable result, an independent replication, a correction, or an attributable resolution. A new model name by itself does not move the verdict.