<?xml version="1.0" encoding="UTF-8"?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:news="http://www.google.com/schemas/sitemap-news/0.9">
  <url>
    <loc>https://modelsatwork.news/article/openai-to-acquire-pierre-computer-company-git-tooling-codex-agents</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-04T20:00:00.000Z</news:publication_date>
      <news:title>OpenAI to acquire Pierre, the Git tooling startup behind Codex</news:title>
      <news:keywords>OpenAI, Coding agents, Developer tools, Agents, Open source</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/aws-agentcore-evaluations-decision-models-cheap-screen-before-llm-judge-vendor-published</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-04T19:05:00.000Z</news:publication_date>
      <news:title>AWS: screen agent turns with a decision model before an LLM judge</news:title>
      <news:keywords>Agent evaluation, Decision models, Evals, Amazon Bedrock AgentCore, Vendor-published</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/aws-amazon-quick-smart-approvals-classifier-auto-approves-eligible-agent-actions-vendor-published</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-04T18:05:00.000Z</news:publication_date>
      <news:title>AWS: Amazon Quick's Smart Approvals lets a classifier clear routine agent actions</news:title>
      <news:keywords>Amazon Quick, Human oversight, Agent governance, Vendor-published, Access control</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/moonshot-kimi-k3-1-pro-open-weights-2-8t-license-revenue-cap-cyber-data-removed</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-04T17:35:00.000Z</news:publication_date>
      <news:title>Moonshot releases Kimi K3.1 Pro weights: 2.8T parameters, licence caps</news:title>
      <news:keywords>Model release, Open-weight models, Coding agents, Security, Self-hosting</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/collinear-cwe-bench-v2-security-patching-gemini-4-argon-opus-5-5-deepseek-cost-per-rollout</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-04T16:10:00.000Z</news:publication_date>
      <news:title>CWE-bench v2: best model fixes 67.8% of security tasks, cheap one 57.0%</news:title>
      <news:keywords>Benchmarks, Evals, Security, Agent cost, Open-weight models</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/revolut-self-hosted-glm-default-coding-inference-cost-90-percent-the-register</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-04T14:55:00.000Z</news:publication_date>
      <news:title>Revolut says self-hosted GLM cut its AI coding inference costs about 90%</news:title>
      <news:keywords>Cost, Self-hosting, Open-weight models, Coding agents, Inference</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/ai2-statebench-frontier-models-state-tracking-long-inputs-13-percent</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-04T14:15:00.000Z</news:publication_date>
      <news:title>Ai2's StateBench: frontier models fall to 13% on long state-tracking</news:title>
      <news:keywords>Benchmarks, Research, Evals, Context management, Open-weight models</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/ibm-research-cuga-harness-appworld-same-model-30-to-81-percent-vendor-published</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-04T00:57:00.000Z</news:publication_date>
      <news:title>IBM Research: same model, harness swing from 30% to 81% on AppWorld</news:title>
      <news:keywords>Agents, Vendor-published, Agent evaluation, Open source, Governance</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/aws-edb-postgres-ai-semantic-layer-agentcore-column-comments-grants-vendor-published</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-03T23:55:00.000Z</news:publication_date>
      <news:title>AWS and EDB: Postgres column comments as an agent's data layer</news:title>
      <news:keywords>Amazon Bedrock AgentCore, Postgres, Vendor-published, Access control, MCP</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/anthropic-flashprove-open-source-proof-which-model-answered</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-03T23:20:00.000Z</news:publication_date>
      <news:title>Anthropic's FlashProve: proof of which model wrote a response</news:title>
      <news:keywords>Anthropic, Research, Security, Verification, Open source</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/finic-kairos-open-source-fraud-decisioning-coding-agent-tunes-it-show-hn</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-03T21:58:00.000Z</news:publication_date>
      <news:title>Finic's Kairos: open-source fraud decisions that a coding agent tunes</news:title>
      <news:keywords>Open source, Show HN, Agents, Decision models, Self-hosting</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/aws-bedrock-kimi-k3-india-in-country-inference-ultrahuman-vendor-published</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-03T21:05:00.000Z</news:publication_date>
      <news:title>Amazon Bedrock adds India-only inference for Kimi K3</news:title>
      <news:keywords>Amazon Bedrock, Open-weight models, Data residency, Prompt caching, Vendor-published</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/aws-cartesia-sonic-voice-agents-sagemaker-ec2-deployment-vendor-published</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-03T20:20:00.000Z</news:publication_date>
      <news:title>AWS and Cartesia: running a 90 ms voice model inside your own VPC</news:title>
      <news:keywords>Vendor-published, Amazon SageMaker AI, Inference, Self-hosting, Voice agents</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/aws-agentcore-gateway-on-behalf-of-token-exchange-servicenow-entra-vendor-published</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-03T19:05:00.000Z</news:publication_date>
      <news:title>AWS: keep the user's identity when an agent calls ServiceNow</news:title>
      <news:keywords>Amazon Bedrock AgentCore, Access control, Agent security, Vendor-published, Agents</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/gen-digital-norton-revamp-agentcore-web-search-news-engine-vendor-published</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-03T17:05:00.000Z</news:publication_date>
      <news:title>Gen Digital: Norton Revamp's news engine on AgentCore Web Search</news:title>
      <news:keywords>Amazon Bedrock AgentCore, Case study, Vendor-published, Coding agents, Productivity</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/cio-com-seven-ways-ai-budgets-blow-out-agent-loops-frontier-model-routing-cost-per-pr</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-03T14:58:00.000Z</news:publication_date>
      <news:title>CIO.com: seven ways AI budgets blow out, from agent loops to frontier defaults</news:title>
      <news:keywords>Cost governance, Agent cost, Token cost, Model selection, Routing</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/nvidia-auto-ontology-open-source-context-layer-agents-text-to-sql-hacker-news</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-03T14:40:00.000Z</news:publication_date>
      <news:title>NVIDIA open-sources Auto Ontology, a context layer for data agents</news:title>
      <news:keywords>NVIDIA, Open source, Agents, Data quality, Show HN</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/anthropic-message-threads-35-percent-lower-time-to-first-token-500k-1m-tokens-claude-code-default</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-03T13:05:00.000Z</news:publication_date>
      <news:title>Anthropic: message threads cut median time to first token about 35%</news:title>
      <news:keywords>Anthropic, Claude, API, Context management, Agents, Cost</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/activtrak-heavy-ai-users-work-up-to-90-minutes-longer-9140-workers-cio-reports</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-03T12:10:00.000Z</news:publication_date>
      <news:title>ActivTrak: heavy AI users work up to 90 minutes longer a day, CIO reports</news:title>
      <news:keywords>Adoption, Surveys, Change management, Productivity</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/anthropic-claude-api-message-threads-beta-send-only-new-messages-5-minute-expiry</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-03T10:00:00.000Z</news:publication_date>
      <news:title>Anthropic's Claude API adds server-side message threads in beta</news:title>
      <news:keywords>Anthropic, Claude, API, Context management, Agents, Cost</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/aws-crawl4ai-bedrock-knowledge-bases-web-content-preparation-metadata-filters-vendor-published</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-03T01:57:00.000Z</news:publication_date>
      <news:title>AWS: prepare web pages with Crawl4AI before Bedrock Knowledge Bases</news:title>
      <news:keywords>Amazon Bedrock, RAG, Enterprise search, Data quality, Vendor-published</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/anthropic-s-1-says-it-may-imminently-hit-rsp-accelerated-ai-progress-threshold</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-02T22:55:00.000Z</news:publication_date>
      <news:title>Anthropic's S-1/A: it may 'imminently' meet its own AI-R&amp;D threshold</news:title>
      <news:keywords>Anthropic, Governance, AI R&amp;D, Self-improvement, Human oversight</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/aws-multi-agent-part-substitution-assistant-deterministic-scoring-vendor-published</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-02T22:05:00.000Z</news:publication_date>
      <news:title>AWS: parts-substitution agent keeps pass/fail verdicts in plain code</news:title>
      <news:keywords>Amazon Bedrock AgentCore, Multi-agent, Human in the loop, Routing, RAG, Vendor-published</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/goldman-sachs-restricts-claude-code-github-copilot-to-engineers-bloomberg-via-the-decoder</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-02T21:30:00.000Z</news:publication_date>
      <news:title>Goldman Sachs limits AI coding tools to engineers, Bloomberg reports</news:title>
      <news:keywords>Coding agents, Access control, Banking, Change management, Governance</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/arxiv-pretraining-poisoning-agent-backdoor-0-1-percent-92-percent-attack-success</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-02T20:58:00.000Z</news:publication_date>
      <news:title>Paper: poisoning 0.1% of pretraining data plants an agent backdoor</news:title>
      <news:keywords>Research, Agent security, Security, Open-weight models, Coding agents</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/briefing/2026-11-04</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-04T14:58:00.000Z</news:publication_date>
      <news:title>The briefing, 2026-11-04: IBM Research says the agent harness alone moved task completion from 30% to 81% on one fixed model</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/briefing/2026-11-03</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-03T13:10:00.000Z</news:publication_date>
      <news:title>The briefing, 2026-11-03: Goldman Sachs reportedly limits AI coding tools to engineers, ending months of use by traders and bankers</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/briefing/2026-11-03</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-03T11:30:00.000Z</news:publication_date>
      <news:title>The briefing, 2026-11-03: Anthropic's S-1 says its own Claude use, at list price, passed monthly payroll in April</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/briefing/2026-11-04</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-11-04T11:30:00.000Z</news:publication_date>
      <news:title>The briefing, 2026-11-04: IBM says changing only the agent harness moved one model from 30% to 81% of tasks</news:title>
    </news:news>
  </url>
</urlset>
