2026-10-11 17:09 UTC

evaluation

band: warmmomentum: stable score: 0.289
temperature history

Episodes (10)

Independent use will determine whether Goldsetโ€™s 896 test-verified Python repairs provide a reproducible and decision-useful benchmark or training corpus for code-repair agents.
expiredknownscott: low
Independent replication will determine whether Stencil's harness-only changes reproducibly improve coding performance across 15 different LLMs as claimed.
expiredconvergesscott: high
The Lawful Continuation Gate author claims a one-number threshold change reproducibly flips multiple OpenAI API configurations from the required response to zero visible output, exposing a deterministic control-flow reliability failure relevant to agent safeguards.
resolvedknownscott: medium
grigio presents Ship Harness Bench as a benchmark comparing agent harnesses with the prompt and model held constant, potentially allowing builders to distinguish harness effects from model differences when selecting agent tooling.
expiredknownscott: low
Artificial Analysis claims its available Optima service builds and grades custom benchmarks from users' tasks and data across models and external agents, enabling workload-specific selection using measured quality, cost, and execution time.
watchingconvergesscott: medium
ModelRift reports that both CadQuery and OpenSCAD silently accepted defective geometry in its six-run agentic CAD comparison, making independent mesh and dimensional checks necessary beyond successful builds or visual inspection in unattended part generation.
seedknownscott: low
Driftproof creator maverick_man1111 claims its released tool compares scored runs with and without agent instructions across selected models and preserves dated, hashed records, enabling detection of instruction regressions after model or configuration changes.
seedknownscott: low
Martin Bertran Lopez and Aaron Roth claim successful ML research-agent strategies retain performance when compressed to as few as 16 tokens while overfit gains disappear, making compression a practical diagnostic for benchmark generalization.
seedconvergesscott: medium
Jon Saad-Falcon and coauthors claim their Intelligence per Watt study finds local models can successfully answer 88.7% of one million sampled chat and reasoning queries, supporting substantial cloud-demand offloading despite lower measured power efficiency on local accelerators.
seedknownscott: medium
Xiaomi's public MiMo 2.6 dashboard reportedly exposes live post-training progress, potentially giving outside developers visibility into an ongoing model-training run rather than only retrospective release results.
resolvednovelscott: low

Trajectory notes