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Only the best are using them...
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Synology DSM 7.4 and The Future of DSM...
…Human evaluations corroborate these gains while also highlighting notable improvements in motion and transition smoothness. View arXiv page View PDF Project page Add to collection Community We introduce A^2RD, an agentic…
…This helps reduce ambiguity and improves task accuracy. This is supported across agent mode, custom agents, sub agents, and Copilot CLI agent, and it’s not available in Ask mode. Global .agent…
…Running on NVIDIA RTX PRO Servers, the agent accurately understands complex assembly motions to help improve first-pass yield by 3%, minimizing rework and production waste. https://blogs.nvidia.com/wp-content…
…agent performance feedback guides SimCoder to generate adaptive curricula near the learner's capability frontier, so that environments become increasingly challenging as the embodied agent improves. Three case studies on embodied navigation…
Building self-improving tax agents with Codex
Building self-improving tax agents with Codex
Reading of OpenAI's Self-Improving Tax Agents
# The Agentic Tidal Wave*To:* Executive Staff and Direct Reports *From:* Bill Gates *Date:* April 26, 2026Our vision for the last 20 years can be summarized in a succinct way. We saw that exponential improvements in clou…
Hi HN — I built GridPath as I wanted something that runs like Cursor for spreadsheets - parallel workloads, reversible changes, fast, with tool set customized for spreadsheet work and connection to multiple model provide…
…increasing per-agent steps consistently improves both effectiveness and efficiency, a new scaling dimension orthogonal to and composable with agent-count scaling . View arXiv page View PDF Project page GitHub 34 Add…
…Xingyuan Hua , , Abstract Agents use variational inference to evaluate exploratory actions and selectively explore only when uncertainty is high, improving performance on text-based and GUI-based benchmarks. AI-generated summary Recent…
…Siyuan Guo , , , , Abstract Deployment-time learning enables large language model agents to adapt continuously during operation through episodic memory and contextual bandit optimization, improving performance across diverse tasks. AI-generated summary Large…
…prefix-based execution control to reduce task execution and improve plan validity in industrial LLM agent systems. AI-generated summary Industrial LLM agent systems often separate planning from execution, yet LLM planners…
…A Neuro-Symbolic Dual Memory Framework for Long-Horizon LLM Agents (2026) Experiential Reflective Learning for Self-Improving LLM Agents (2026) APEX-EM: Non-Parametric Online Learning for Autonomous Agents via Structured…
…information that downstream agents may not be able to re-observe are retained and passed forward through the manager and DAG structure. We demonstrate that MACU consistently improves over strong single-agent…
