Autoresearch B
AI benchmark · ML
- Publisher
- Emulated
- On X
- @emulated_ai ↗
- Tier
- B why
- Snapshot
Latest from Emulated on X
@emulated_ai ↗Tier B
Established: 15 or more models scored, or curated RL directories rate it.
How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.
- built by Emulated
- in curated RL directories (3 pts)
How we got to tier B
- Adoption: built by Emulated. Tier C.
- Not yet read on X.
- In curated RL directories: 3 points, a floor of B. Raised to B.
- Not yet confirmed by a line from its own site or paper.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Training methods
Methods Autoresearch uses, offers or builds for, with public evidence: its own website says so, or two independent sites do.
- SFT Supervised Fine-Tuning On its own website
“The naive recipe, plain supervised fine-tuning on the lake with the pinned trainer, scores between 0.01 and 0.05. It improves the math but costs the model about 25 points on the regression suite, which puts it on the steep part of the band, where a handful of regres…”
autoresearch-bench.com
Not on the map yet: no line from its own site or paper places it in a domain.
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-11 snapshot.