Results for “agents”

…desktop app positioned as a focused UI for running multiple agents in parallel, keeping changes isolated via built-in worktrees, and extending behavior with skills and scheduled automations (OpenAI announcement, rate-limit + availability…

…His central public argument is that language models and agents increasingly supply the intelligence behind video generation—a view he connected to his decision to leave xAI and pursue language-model research in an interview published June…

…a new service offering robust infrastructure for resilient agents, yet some engineers questioned the need for specialized infrastructure for such agents. Conference Content Watch: AI Engineer YouTube channel is a go-to for livestreams and…

…and Genesis’s founding Before this work on diffusion and agents, Feinberg studied applied physics at Yale and earned a Ph.D. in computational biophysics at Stanford. In Vijay Pande’s Stanford lab, he conducted AI and simulation research…

…on Cerebras” could reset agent harness expectations (dbreunig). Agents, memory, and developer workflows: from MCP debates to sandboxes + RLMs Filesystem vs database for agent memory: A useful synthesis frames two camps—“files are all you…

…built for people into an information source for AI products and agents. That AI focus followed earlier work on search by CEO and cofounder Will Bryk and his cofounder Jeff, including a crowdsourced-link search engine they built together as …

…monster $355M Series C. The cloud was built for developers. But agents are now changing that. The old infra stack was designed for a human who could read docs, reason through YAML, and understand dashboards to figure out what they need when…

…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…

…Rankings for translation to optimize their results. Multimodal agents spark interest: Developers explored methods for building multimodal agents, clarifying that strict JSON output isn't mandatory for agent workflows. They referenced…

…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…

…Cowork + Claude Code as the new baseline for “terminal-native agents,” with sandboxing becoming table stakes: Several tweets focus on how Anthropic’s Cowork spins up a Linux VM via Apple’s native virtualization and runs inside a sandbox…

…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…