This article explores whether an open-weight LLM (GPT-OSS-120B) can adapt a trained PPO control policy to changed dynamics by directly editing its weights. The experiment tests exact repair and adaptation scenarios in …
An exploration of using GPT-OSS-120B to directly edit the weights of a trained LunarLander policy in response to physics changes, without gradient updates. The experiment successfully repaired reversed thrusters and …
A deep dive into the architecture and engineering principles behind always-on, persistent AI agents that can run autonomously for extended periods, covering context management, durable workflows, sub-agent orchestration, …
A modern re-examination of the classic 1979 paper arguing against formal verification, exploring how AI coding agents and recent tooling advances have changed the landscape. The author revisits each historical objection …
This paper presents a validation-centric workflow for AI-assisted GPU porting of CReSS, a 250,000+ line legacy Fortran weather simulation code, achieving a 5.1× speedup while preserving scientific validity across 162 …
This paper studies harness design for LLM agents through the lens of inference-time trajectory alignment, showing that effective harnesses must align decomposition granularity with agent capability and guidance with task …
SkillOpt introduces a systematic text-space optimizer for agent skills that treats skill documents as trainable external state, using bounded edits, validation gates, and epoch-wise updates to achieve consistent …
An in-depth analysis of why AI adoption in the legal profession has been slower than expected, examining structural barriers including data monopolies, organizational resistance, billing model conflicts, and risk …
An in-depth exploration of world models in AI, covering their definition, implementation approaches (generative vs predictive), and practical applications from autonomous vehicles to interactive environments and agent …
A comprehensive research symposium featuring leading AI researchers discussing frontiers in artificial intelligence, from scientific applications and safety concerns to the future of AI development and its global impact.
