Google CEO: Agents, Open Source, Race to AGI, Cybersecurity, Chips, China
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Transform Telecom with GIGABYTE's AI Portfolio #MWC2026
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The Infplane Hilbert - WORTH $3000??? Let's Discuss...
…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…
…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…
Building self-improving tax agents with Codex
Building self-improving tax agents with Codex
# 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…
Hey HN, we’re Avi, Kiet, and Satya. We’re building Superset (https://github.com/superset-sh/superset), an open-source agentic IDE for running coding agents like Claude Code, Codex, OpenCode etc in parallel.Demo: https://…
…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…
…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…
Back to changelog This update brings several new features and improvements to GitHub Copilot in JetBrains IDEs. Core agentic capabilities, including custom agents, sub-agents, and plan agent, are now generally available…
…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…
…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…
…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…