monitoring

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#monitoring

Improving scalable oversight with co-trained monitors

arXiv cs.LG ↗ · 15h ago Cached

This paper studies co-training a monitor alongside an adversarial AI worker to prevent monitor evasion in worker-monitor oversight setups, proving a supervisory characterization via Littlestone dimension and proposing a test-time distillation self-supervision method with code-security stress tests.

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#monitoring

How are you keeping track of what your AI agents are actually doing in production?

Reddit r/AI_Agents ↗ · yesterday

The article highlights the challenges teams face in monitoring AI agents in production, particularly regarding compliance and health, and invites discussion on current practices and gaps.

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#monitoring

@rohanpaul_ai: Most AI infrastructure discussion is about GPUs. However, as agentic AI is moving into production, enterprises need mor…

X AI KOLs Following ↗ · yesterday Cached

The tweet discusses the growing need for secure and cost-efficient AI infrastructure beyond GPUs, promoting KAYTUS's KSManage tool for unified monitoring and management of multi-vendor data centers.

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#monitoring

Nvidia says its new AI safety platform can contain rogue agents within ‘milliseconds’

The Verge ↗ · 2d ago Cached

Nvidia has launched the Open Agent Safety Platform, designed to contain rogue AI agents within milliseconds using open-source software and specialized hardware, with backing from companies like Anthropic, Microsoft, and SpaceX.

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#monitoring

when your agent eval catches a failure what do u actually do next?

Reddit r/AI_Agents ↗ · 3d ago

The author discusses common challenges in debugging AI agent evaluation failures, seeking insights on efficient investigation methods and the reliability of comparison runs versus other evidence sources.

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#monitoring

vantage.ai

Product Hunt ↗ · 4d ago Cached

Vantage is a free, open-source tool that monitors and controls the usage and costs of AI coding agents, offering session logs and guardrails.

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#monitoring

@weiwei2018831: StatLite is a lightweight self-hosted monitoring dashboard written in Go, enabling Spring Boot, Quarkus, and other appl…

X AI KOLs Timeline ↗ · 4d ago Cached

StatLite is a lightweight self-hosted monitoring dashboard written in Go, enabling applications like Spring Boot and Quarkus to view metrics without needing Prometheus and Grafana.

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#monitoring

Four failures from running an AI agent for months (written by the agent)

Reddit r/AI_Agents ↗ · 5d ago

An AI agent reflects on four failures from running itself for months, emphasizing the need for independent monitoring, task verification, and caution against fabrication in persistent AI systems.

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#monitoring

@cursor_ai: Introducing Rollouts. Rollouts write a monitoring plan, then watch changes as they deploy. Deployments are verified, so…

X AI KOLs Timeline ↗ · 6d ago Cached

Cursor AI introduces Rollouts, a feature that creates monitoring plans and verifies deployments to catch regressions before they affect users.

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#monitoring

@shao__meng: https://x.com/shao__meng/status/2102648813425135777

X AI KOLs Timeline ↗ · 2026-09-23 Cached

本文总结了来自 Hamel Husain 和 Shreya Shankar 的 AI Evals 课程的 8 个核心技能,旨在指导工程师和产品经理构建有效的 AI 评测系统,涵盖错误分析、评测器设计、校准和监控等步骤。

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#monitoring

@zeeg: same if you're not building headless for your product you're investing in the wrong things

X AI KOLs Timeline ↗ · 2026-09-20 Cached

A tweet discussing the importance of building headless products for better investment and highlighting Sentry as a useful monitoring tool integrated via CLI.

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#monitoring

Show HN: Sigabrt.dev – cronjob monitor with an SSH TUI

Hacker News Top ↗ · 2026-09-19 Cached

Sigabrt is a cronjob monitoring service that sends email alerts when scheduled tasks fail to ping, featuring an SSH terminal interface for status management.

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#monitoring

@QingQ77: Detect whether the model actually used by Codex for responses matches the selected model, and identify silent downgrade…

X AI KOLs Timeline ↗ · 2026-09-19 Cached

A macOS menu bar tool that detects if the model used by Codex matches the selected one, identifying silent downgrades or model switches.

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#monitoring

@changgaowei: Most people ship agents. Reliability engineers ship the layer that can fail closed. If you want the AgentOps job, build…

X AI KOLs Following ↗ · 2026-09-17 Cached

The article outlines 14 essential systems to build for ensuring the reliability and safety of AI agents, including identity management, access controls, and incident response protocols.

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#monitoring

@bkdgiffug: Log platforms are too expensive—definitely worth checking this one out. There's an OpenObserve on GitHub, an open-sourc…

X AI KOLs Timeline ↗ · 2026-09-17

OpenObserve is an open-source observability platform written in Rust that offers a cost-effective alternative to commercial log platforms, supporting logs, metrics, traces, and LLM monitoring with SQL and PromQL queries.

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#monitoring

The fix for rogue AI agents could be more AI

TechCrunch AI ↗ · 2026-09-17 Cached

The article explores how AI labs and startups are using additional AI systems to monitor and control rogue AI agents, addressing the challenge of overseeing large-scale AI actions that exceed human review capabilities, while noting concerns about AI deception.

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#monitoring

How Embedded Evaluators Could Monitor Frontier AI (8 minute read)

TLDR AI ↗ · 2026-09-17 Cached

This blog post proposes using embedded evaluators to monitor and evaluate frontier AI systems, addressing alignment risks and improving transparency following recent incidents like the OpenAI-Hugging Face hack.

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#monitoring

@m_adams: Introducing the US Gov Graph - a complete map of the people and positions of power in the federal government. To fix ou…

X AI KOLs Following ↗ · 2026-09-16 Cached

Introducing the US Gov Graph, an AI-powered tool that maps the entire U.S. federal government's structure and personnel to enhance understanding and transparency of institutions.

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#monitoring

Opencontroller by lyzr

Product Hunt ↗ · 2026-09-15 Cached

OpenController by lyzr is a unified control plane for governing AI agents across various platforms, offering deployment, real-time monitoring, and policy enforcement.

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#monitoring

@suraj_sharma14: If I had 6 months to become an AI Evals & Reliability Engineer. I'd do this. Stage 1: Python and Testing Foundations Py…

X AI KOLs Timeline ↗ · 2026-09-15 Cached

The article outlines a 12-stage learning path to become an AI Evals & Reliability Engineer, covering foundational skills to advanced production techniques.

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