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…Every time the agent encounters a complex task or receives feedback, it saves its learnings as a skill so it can adapt and improve over time. Contained Sub-Agents: Hermes treats sub…
AMD Introduces GAIA Agent UI For Privacy-First Web App For Local AI Agents Written by Michael Larabel in AMD on 28 March 2026 at 10:55 AM EDT. 9 Comments AMD…
…Increasing retrieval depth improves surfaced evidence recall by 25.3% over shallow retrieval. Overall, our answer is: Yes, a lexical retriever can suffice for agentic search when it is well configured and…
…AI-generated summary Distributed blackbox consensus optimization is a fundamental problem in multi-agent systems, where agents must improve a global objective using only local objective queries and limited neighbor communication. Existing…
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…
…Scaling Evaluation of Long-Horizon Agents on Subjective Enterprise Tasks (2026) SWE-Next: Scalable Real-World Software Engineering Tasks for Agents (2026) A Subgoal-driven Framework for Improving Long-Horizon LLM Agents…
…AI-generated summary Reinforcement learning (RL) has substantially improved the ability of large language model (LLM) agents to interact with environments and solve multi-turn tasks. However, effective agentic RL remains challenging…
Papers arxiv:2605.08083 LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling Published on May 8 Submitted by Chengsong Huang on May 11 #3 Paper of the day Google Authors: Tong…
…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…
