An eval harness is a test harness: fixtures, unit under test, assertions. An agent harness is not. Its tools, memory and sandbox are part of the system under test. Same model, different harness, different score. No disclosed harness, no comparison.
https://t.co/X4mR7elVIx
Published 20260913-190136-c27f35 · grade 8.3 · thought · explainer
Threads in CPython buy you overlap. The GIL lets one thread run Python bytecode at a time, and releases it during I/O. So wait time overlaps and compute time serialises.
Claude's four modes are one dial: how often it stops to ask you. Chat asks every turn. Cowork runs parallel agents you watch. Code on Bypass Permissions never asks. A skill answers those questions once and repeats.
https://t.co/GDKgIOwM7w
A harness is the code wrapped around a model: picks tools, carries context between steps, checks output, retries failures. The word reads as ambient jargon. It spread after Mitchell Hashimoto's post of Feb 5 2026.
https://t.co/Y9zKdx21dN
GRPO grades each answer against the average of its own sampled group. Nothing scores the steps in between, so backtracking pays only through the answer it saves. That is enough: R1-Zero's AIME 2024 pass@1 went 15.6% → 77.9%.
https://t.co/htk7mck8Fc
Paper: Guo et al.
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