#GoogleResearch

4 stories · 1 in 7 days · 3 in 30 days
Stories, products and papers tagged "GoogleResearch", newest first.
Oct 19
ModelsBuildersMulti-sourceSelected20:37
Google Research releases Harness² framework for agent self-improvement

The implication is that harness scaffolding, not model weights, is a lever for gains on unseen tasks, with a frozen model still improving when its surrounding code is edited. Developers building agent systems can apply the editor-composer-reflector pattern to their own pipelines. Code and the arXiv paper (2610.14224) are public, so teams can reproduce the benchmark setup directly.

Event
Philipp Schmid@_philschmid5 sourcesSource
Oct 9
ModelsBuildersOfficialSelected00:32
EnvHarness: Google Research demo on co-evolving agent training environments at COLM 2026

Adaptive environments change how agents are trained: instead of evaluating against fixed benchmarks, the training tasks evolve alongside the agent, which can reduce overfitting to static test sets. Researchers and engineers building agent training pipelines can attend the booth demo or look for the paper to assess whether EnvHarness fits their setup. Comparisons with existing static environment toolchains will likely emerge once the framework is released.

官方一手Google Research@GoogleResearchSource
Sep 30
Sep 4