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      <news:publication_date>2026-10-12T19:57:00.000Z</news:publication_date>
      <news:title>Anthropic's Claude Frontier Academy: $100M to train 10,000 engineers</news:title>
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  <url>
    <loc>https://modelsatwork.news/article/meta-muse-wonder-and-wonder-full-first-frontier-models-api-pricing</loc>
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      <news:publication_date>2026-10-12T19:45:00.000Z</news:publication_date>
      <news:title>Meta releases Muse Wonder and Wonder Full, its first frontier models</news:title>
      <news:keywords>Meta, Muse Wonder, Model release, Pricing, Agents, Benchmarks</news:keywords>
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  <url>
    <loc>https://modelsatwork.news/article/aws-bedrock-gpt-6-global-cross-region-inference-scp-denies-first-call-quota-10x</loc>
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      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-12T19:00:00.000Z</news:publication_date>
      <news:title>AWS: GPT-6 on Bedrock can fail your first call under a Region-allowlist SCP</news:title>
      <news:keywords>Amazon Bedrock, OpenAI, GPT-6, Cross-Region inference, Governance, Quotas, Vendor-published</news:keywords>
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  </url>
  <url>
    <loc>https://modelsatwork.news/article/harvard-jellyfish-study-ai-coding-agents-code-review-up-49-percent-no-more-issues-closed</loc>
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      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-12T18:00:00.000Z</news:publication_date>
      <news:title>Study of 700 firms: AI coding agents add 30% more code, 49% slower review</news:title>
      <news:keywords>Coding agents, Code review, Harvard, Jellyfish, Productivity, Research</news:keywords>
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  </url>
  <url>
    <loc>https://modelsatwork.news/article/fork-and-flush-clearing-chat-context-long-running-agents-66-percent-gain</loc>
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      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-12T17:00:00.000Z</news:publication_date>
      <news:title>Fork-and-Flush: resetting an agent's chat context scored 66% higher</news:title>
      <news:keywords>Agents, Research, Long-running agents, Context management, Evaluation, Microsoft Research</news:keywords>
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  </url>
  <url>
    <loc>https://modelsatwork.news/article/orange-spain-1000-custom-agents-gemini-enterprise-citizen-developers</loc>
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      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-12T16:00:00.000Z</news:publication_date>
      <news:title>Orange Spain says staff built 1,000+ Gemini Enterprise agents themselves</news:title>
      <news:keywords>Orange Spain, Google Cloud, Gemini Enterprise, Citizen developers, Agent governance, Vendor-published</news:keywords>
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  <url>
    <loc>https://modelsatwork.news/article/on-agent-led-migration-24-services-google-cloud-two-weeks-vendor-published</loc>
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      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-12T15:05:00.000Z</news:publication_date>
      <news:title>On used AI agents to migrate 24 services in two weeks each, not three months</news:title>
      <news:keywords>On, Google Cloud, Cloud migration, Multi-agent, Human oversight, Vendor-published</news:keywords>
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  </url>
  <url>
    <loc>https://modelsatwork.news/article/anthropic-cyber-mission-critical-infrastructure-defense-program-oss-scanner</loc>
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      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-12T14:06:00.000Z</news:publication_date>
      <news:title>Anthropic Cyber Mission: free OSS Scanner and an infrastructure defence program</news:title>
      <news:keywords>Anthropic, Cyber Mission, OSS Scanner, Critical infrastructure, Operational technology, Open source, Vulnerability disclosure</news:keywords>
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  <url>
    <loc>https://modelsatwork.news/article/anthropic-2026-usage-policy-human-review-hardware-rules-nov-12</loc>
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      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-12T11:00:00.000Z</news:publication_date>
      <news:title>Anthropic's 2026 Usage Policy takes effect 12 Nov with new hardware rules</news:title>
      <news:keywords>Anthropic, Usage Policy, Human in the loop, High-risk use cases, Supported Regions</news:keywords>
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  </url>
  <url>
    <loc>https://modelsatwork.news/article/balyasny-bamagent-gemini-80-databases-200-teams-vendor-published</loc>
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      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-12T09:58:00.000Z</news:publication_date>
      <news:title>Balyasny puts Gemini inside its BAMAgent research agents across 80 databases</news:title>
      <news:keywords>Balyasny, Google Cloud, Gemini, Financial services, Multi-model, Vendor-published</news:keywords>
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  </url>
  <url>
    <loc>https://modelsatwork.news/article/aws-sagemaker-hyperpod-shared-gpu-cluster-namespaces-quotas-chargeback</loc>
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      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-12T00:58:00.000Z</news:publication_date>
      <news:title>AWS: sharing one HyperPod GPU cluster across teams needs network rules too</news:title>
      <news:keywords>AWS, SageMaker HyperPod, GPU, Multi-tenancy, Cost allocation, Vendor-published</news:keywords>
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  </url>
  <url>
    <loc>https://modelsatwork.news/article/aws-agentic-value-model-business-case-hours-saved-misleads</loc>
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      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-11T17:00:00.000Z</news:publication_date>
      <news:title>AWS: 'hours saved' overstates agent ROI; price exceptions and oversight too</news:title>
      <news:keywords>AWS, Amazon Quick, Business case, ROI, Agentic automation, Vendor-published</news:keywords>
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  </url>
  <url>
    <loc>https://modelsatwork.news/article/vals-ai-agent-teams-vibe-code-bench-cost-1-8-to-5-1x-one-significant-gain</loc>
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      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-11T16:00:00.000Z</news:publication_date>
      <news:title>Vals AI: agent teams cost 1.8-5.1x more, and only 1 of 4 gains was significant</news:title>
      <news:keywords>Vals AI, Vibe Code Bench, Multi-agent, GPT 6 Sol, Claude Opus 5.5, Agent cost</news:keywords>
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  </url>
  <url>
    <loc>https://modelsatwork.news/article/incarna-blockrun-agentcore-payments-agents-pay-per-inference-x402</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-11T15:00:00.000Z</news:publication_date>
      <news:title>Incarna's agents pay BlockRun per inference call via AWS AgentCore payments</news:title>
      <news:keywords>Incarna, BlockRun, Amazon Bedrock AgentCore, x402, Agent payments, Vendor-published</news:keywords>
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  </url>
  <url>
    <loc>https://modelsatwork.news/article/anthropic-cyber-verification-program-three-access-tiers</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-11T11:30:00.000Z</news:publication_date>
      <news:title>Anthropic's Cyber Verification Program now has three access tiers</news:title>
      <news:keywords>Anthropic, Cyber Verification Program, Security, Claude Opus 5.5, Project Glasswing, Data retention, Enterprise Frontier Safeguards</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://modelsatwork.news/article/microsoft-decision-1-model-routing-classification-foundry-openrouter</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-10T22:00:00.000Z</news:publication_date>
      <news:title>Microsoft-Decision-1: a 9B model that scores choices for $0.042 per million tokens</news:title>
      <news:keywords>Microsoft, Decision-1, Decision models, Routing, Classification, Azure Foundry, OpenRouter, Small model</news:keywords>
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  </url>
  <url>
    <loc>https://modelsatwork.news/article/epoch-innovationeval-ai-agents-ml-research-misleading-claims-seed-farming</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-10T21:00:00.000Z</news:publication_date>
      <news:title>Epoch AI: frontier agents fail to rediscover an ML technique and overstate results</news:title>
      <news:keywords>Epoch AI, InnovationEval, Evals, Agents, AI R&amp;D, Reward hacking, Verification</news:keywords>
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  </url>
  <url>
    <loc>https://modelsatwork.news/briefing/2026-10-12</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-12T10:30:00.000Z</news:publication_date>
      <news:title>The briefing, 2026-10-12: OpenAI says a model tried to wreck its own sandbox, and others routed around a GET-only rule</news:title>
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  <url>
    <loc>https://modelsatwork.news/briefing/2026-10-11</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-11T19:20:00.000Z</news:publication_date>
      <news:title>The briefing, 2026-10-11: Vals AI: agent teams cost 1.8 to 5.1 times more, and only one of four gains was significant</news:title>
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