Google CEO: Agents, Open Source, Race to AGI, Cybersecurity, Chips, China
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How Mistral Is Building Frontier AI for the Enterprise | NVIDIA AI Podcast Ep. 301
Only the best are using them...
MYTHOS MYTHOS MYTHOS
The Two Best AI Models/Enemies Just Got Released Simultaneously
Two Rival Bets on AGI: Google I/O Highlights
NVIDIA GTC 2026: Healthcare Special Address
Are Local Models Finally Good Enough?
Synology DSM 7.4 and The Future of DSM...
…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…
…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…
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…
…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…
…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…
