Results for “agents”

…environments for reinforcement-learning and embodied agents. At Moonlake, he advocates world models that let agents act, observe consequences, and practice repeatedly. His technical approach separates reasoning about a persistent world from…

…generated scripts. He advocates layered safeguards that let agents act within controlled boundaries. His ambition for Cowork, expressed in March 2026, was to let users hand over increasingly large tasks for longer periods with fewer…

…symbolic structures could provide “logical guardrails” for agents while preserving language models’ ability to interpret context and propose actions. Ontologies inside the agent loop Coyle calls this combination neurosymbolic AI—neural…

…the wrong thing. He also teaches developers how to build coding agents themselves. Ralph: a loop with engineering controls In his Ralph explanation, first published in July 2025, Huntley writes: “Ralph is a technique. In its purest form,…

…and changing it—rather than simply delegate the process to agents. Understanding as creative participation In his July 2026 talk writeup, “Understanding is the new bottleneck”, Litt argues that understanding agent-written code matters…

…intervals rather than rely on a single run. Evaluating agents through their work Cameron described the team’s GDPVal AA work as adapting OpenAI’s GDPVal dataset into an evaluation runnable across models. The team built a reference agent…

…and contributed core design and engineering to Luma Agents’ agentic canvas. Generative video and live music Crawford’s portfolio records product design work at Luma AI in 2024–25, including model evaluation and finetuning data for Ray2 in…

…run ARC Prize, and explaining interactive evaluations of agents. He also runs Leverage with a team of independent AI experts, helping businesses build with AI. Evaluating agents that must learn Kamradt previewed ARC-AGI-3 onstage at the AI …

…Wang’s 2026 Caltech thesis is titled Building Foundation Agents with Internet Knowledge and Large Language Models.

…an automated judge. Teaching evaluation to engineers and coding agents Husain and Shankar extended their evaluation teaching into Evals Skills for Coding Agents, jointly announced in March 2026. The updated announcement describes an entry…

…with Ankush Gola in early 2023, and developed the initial Deep Agents package in 2025. Before LangChain, Chase studied statistics and computer science and worked in machine learning. That earlier career included an experiment with company…

…Mao built Smithery, an open MCP registry and gateway for AI agents, after co-founding Jenni, an AI academic writing copilot. He also publishes research as Huanru Henry Mao, including a sole-authored paper proposing decaying fast weights as …