Google CEO: Agents, Open Source, Race to AGI, Cybersecurity, Chips, China
Introducing your Agent and Gemini Omni in Google Flow
The Two Best AI Models/Enemies Just Got Released Simultaneously
Two Rival Bets on AGI: Google I/O Highlights
Are Local Models Finally Good Enough?
Claude Mythos: Highlights from 244-page Release
Transform Telecom with GIGABYTE's AI Portfolio #MWC2026
An Push-Up Contest with Pat Gelsinger (2026) // Ian Interviews #49
The Infplane Hilbert - WORTH $3000??? Let's Discuss...
…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…
…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…
…Claws are often described as self-learning, in that they’re supposed to automatically improve over time. Earlier this year, an AI agent known as OpenClaw—which was first called Clawdbot, then…
…Experiments on four benchmarks demonstrate that TacoMAS outperforms nearly 20 multi-agent baselines, achieving an average improvement of 13.3% over the strongest baseline. Get this paper in your agent: hf papers…
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://…
…TMAS improves test-time scaling by turning independent reasoning rollouts into a coordinated multi-agent process, where agents verify, summarize, reuse reliable experience, avoid redundant strategies, and are further aligned through hybrid…
…The CLI is likely to improve though, and more skills and templates will become available. Traditional IDEs are optimized for use by humans rather than AI agents, and Google is not the…
…Microsoft's Agent Governance Toolkit provides Agent OS as a policy engine that intercepts every agent's action before execution, Agent Mesh for securing agent-to-agent communication, Agent Runtime for dynamic…
…We then perform Tool-Bootstrapped GUI RFT , combining warmup SFT with single-turn RL to improve decisions at critical GUI-Tool switching points. Finally, we optimize ToolCUA with Online Agentic RL in…
…OpenAI’s new workspace agents can be shared within organizations, “so teams can build an agent once, use it together in ChatGPT or Slack, and improve it over time.” The company says…
Papers arxiv:2605.02943 Healthcare AI GYM for Medical Agents Published on May 1 Submitted by Minbyul Jeong on May 6 Authors: Abstract Multi-turn clinical reasoning training using reinforcement learning reveals…