Results for “agents”

…inference infrastructure, the adoption and security of agents, and a model ecosystem combining open and proprietary development. Inference and agent deployment Huang framed future computers as systems for “manufacturing tokens”, according…

…to their mission. On January 8 they launched Boltz Lab, with agents for small-molecule discovery and protein design, to address practical barriers including compute at scale, reliable infrastructure and interfaces suited to scientific…

…Model Context Protocol (MCP), Block’s goose and OpenAI’s AGENTS.md. These projects address different parts of agent development: MCP connects models to tools, data and applications; goose combines language models, extensible tools and MCP…

…generation (RAG). He is CEO of Hornet, which builds search for agents, and formerly served as Vespa’s chief scientist. His published evaluations emphasize testing neural methods against strong keyword-search baselines. In an essay bearing a…

…half of test-passing patches from mid-2024 to mid/late-2025 agents would not be merged, after adjusting for noise in maintainer decisions using reviews of 47 originally merged human patches. The reviews were hypothetical, lacked continuous …

…What interested him was the shift “from the perspective of agents to interact with, to the perspective of environments that we want to interact with.” He worried that AI companies might restrict access to such open-ended experiences while…

…2024 interview with Turner Novak, Nelson described visual agents that combine models and application logic—for example, watching a video feed and sending a text when a hazard appears. Roboflow’s Inference runtime supports webcams and RTSP…

…useful measure alongside elapsed time. He similarly considered agents and graph walks potentially more consequential than simply enlarging context windows. Research and systems work McGrath described post-training infrastructure as having…

…audio quickly enough for real-time use, and giving coding agents the feedback they need to judge whether their changes work. He graduated from UC Berkeley in 2024, where he studied computer science and public policy. Engineering agents need…

…caused an outcome. He also points to synthetic data for agents as a possible use for world models, alongside interactive entertainment.

…baseline and 51.1% for official instruction-tuned models. Agents sometimes surpassed official models on a narrow target, but the comparison involved different training budgets and objectives: benchmark-specific optimization versus broad…

…reward-trained network. In their online, simulated tasks, agents explored from scratch without supplied rewards or demonstrations. The critic learned to distinguish state-action pairs and future goals from the same trajectory from pairs…