Google CEO: Agents, Open Source, Race to AGI, Cybersecurity, Chips, China
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Only the best are using them...
MYTHOS MYTHOS MYTHOS
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Synology DSM 7.4 and The Future of DSM...
…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…
…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…
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…
…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…
…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…
…Xinyu Lu , , , , , , , , , , Abstract The Meta-Agent Challenge evaluates AI models' ability to autonomously develop agent systems through iterative programming within constrained environments, revealing significant gaps in current models' self-improvement capabilities. Generated…
…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…
…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…