Results for “agents”

…a quiet day lets us report on a long trend of the major coding agents

…documentation into a system accessible to both developers and agents. Making personal knowledge maintainable Holmes announced Hubble Note in September 2025 as an experimental side project: a Markdown-backed writing app with an assistant to …

…and potential disruption of the call center industry by AI agents.

…lower cost and latency. The other keeps large models and gives agents more time when they can save substantial human effort. These are proposed directions for development, not measured outcomes. The second strategy has a concrete desired…

…risk as capabilities rise (@METR_Evals). Reasoning/agents: GPT‑5 shows strong instruction following and tool use (e.g., TauBench gains, IFBench instruction‑following), but mixed changes on non‑SWE coding evals and OpenAI PR‑reproduction…

…opening exchange identifies two complementary routes to better agents: - Improve the language model: scaling the underlying large language model, or LLM, is expected to improve agent performance. - Improve the surrounding system: give the…

…to schedule reminders and summaries, and an open-source ambient agents email assistant. OpenAI rolled out Tasks for scheduling actions in ChatGPT for Plus, Pro, and Teams users. AI software engineering is rapidly advancing, predicted to…

…lists him with the affiliation Amp. Working with coding agents In his workflow account updated September 9, 2026, Liu estimated that his interactions with Amp were split 80:10:10 between web, phone, and Slack. He described spinning off a…

…and “Gemini Enterprise” as a no-code front door to build agents and automate workflows across Workspace/M365/Salesforce and more (@Google, @JeffDean). Memory and eval-driven optimization in agent pipelines: Developers test memory layers…

…to test. The protein and small-molecule workflows are called agents: automated recipes that coordinate multiple models and pipeline stages. Their role is to carry out the complex sequence of preparation, generation and evaluation needed for…

…using efficient exploration was articulated, with a focus on agents that craft queries and a reward model that functions on the feedback received. The discussion encompassed the merits of double Thompson sampling and the employment of…

…raises a choice between open-ended assistants and task-specific agents, with specialists potentially adding the burden of remembering which agent to trust for each task. The response connects trust and control. An unwanted result may…