Google Cloud AI Research has published RRSI, a framework that applies classical regularization techniques to recursive self-improvement of LLM agent harnesses. The method constrains the proposal and s…
Google Cloud AI Research, with Washington University in St. Louis and UNC Chapel Hill, released EnvHarness, an Apache-2.0 layer that turns static agent benchmarks into adaptive training environments b…
Google Cloud AI Research, with researchers from Washington University in St. Louis and UNC Chapel Hill, introduced EnvHarness, a programmable wrapper that adapts AI training environments to target age…
Google's new ScientistOne framework recorded zero hallucinated references across 75 evaluated papers and 337 individual reference checks, compared to baseline systems with hallucination rates as high …