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      <news:title>Anthropic says Claude traced NIST curve seeds to a 1990s random generator</news:title>
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      <news:title>AWS sales agents: a nine-stage eval loop after $410.08 became $410.08 million</news:title>
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      <news:title>Vercel AI Gateway: open-weight models take 71.5% of tokens, 23% of spend</news:title>
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      <news:title>Konnect: 228-tool MCP server lets Claude edit KiCad 10 circuit boards</news:title>
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      <news:title>Reflection Beam: 501B open-weight coding model, Apache 2.0, on AWS</news:title>
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  <url>
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      <news:title>Mistral migrated 40,000 lines of Fortran 77 with agents and a human gate</news:title>
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      <news:publication_date>2026-10-15T11:20:00.000Z</news:publication_date>
      <news:title>AWS shows a deploy-test-delete script for SageMaker JumpStart models</news:title>
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      <news:publication_date>2026-10-16T12:10:00.000Z</news:publication_date>
      <news:title>Plimsoll: open-source sandbox that states its isolation tier</news:title>
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    <loc>https://modelsatwork.news/article/mistral-timestral-time-series-forecasting-209m-parameters-cpu-modified-mit</loc>
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      <news:publication_date>2026-10-16T09:58:00.000Z</news:publication_date>
      <news:title>Mistral Timestral: 209M-parameter forecasting model runs on CPU</news:title>
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    <loc>https://modelsatwork.news/article/anthropic-950-claude-agents-21-hours-210m-tokens-enzyme-discovery</loc>
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      <news:publication_date>2026-10-16T00:55:00.000Z</news:publication_date>
      <news:title>Anthropic ran 950 Claude agents for 21 hours to find a new enzyme</news:title>
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  <url>
    <loc>https://modelsatwork.news/article/bank-of-america-4000-people-patching-vulnerabilities-found-by-ai</loc>
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      <news:publication_date>2026-10-15T22:57:00.000Z</news:publication_date>
      <news:title>Bank of America puts 4,000 people on patching AI-found flaws</news:title>
      <news:keywords>Security, Banking, Project Glasswing, Vulnerability disclosure, Cost</news:keywords>
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  <url>
    <loc>https://modelsatwork.news/article/accenture-caps-central-claude-funding-29-a-month-per-person</loc>
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      <news:publication_date>2026-10-15T21:58:00.000Z</news:publication_date>
      <news:title>Accenture caps central Claude funding at $29 a month per person</news:title>
      <news:keywords>Cost governance, Token cost, Claude, Anthropic, Change management</news:keywords>
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  <url>
    <loc>https://modelsatwork.news/article/aws-trust-in-depth-five-layers-agent-autonomy-agentcore-policy</loc>
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      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-15T20:58:00.000Z</news:publication_date>
      <news:title>AWS Trust in Depth: five layers for letting agents act alone</news:title>
      <news:keywords>Agent safety, Governance, AWS, Amazon Bedrock AgentCore, Vendor-published</news:keywords>
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  <url>
    <loc>https://modelsatwork.news/article/meta-muse-spark-open-816b-42b-active-open-weight-coding-model-sagemaker-jumpstart</loc>
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      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-15T18:58:00.000Z</news:publication_date>
      <news:title>Meta Muse Spark Open: 816B open-weight coding model, 42B active</news:title>
      <news:keywords>Model release, Open-weight models, Meta, Coding agents, Self-hosting</news:keywords>
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  <url>
    <loc>https://modelsatwork.news/article/anthropic-metr-employee-like-access-three-tier-independent-evaluators</loc>
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      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-15T18:05:00.000Z</news:publication_date>
      <news:title>Anthropic gives METR employee-like access, sets three evaluator tiers</news:title>
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  <url>
    <loc>https://modelsatwork.news/article/nvidia-nemotron-3-5-super-vl-120b-12b-active-1m-context-open-weights-bolt-24gb</loc>
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      <news:publication_date>2026-10-15T17:20:00.000Z</news:publication_date>
      <news:title>NVIDIA Nemotron 3.5 Super VL: open 120B agent model, 12B active</news:title>
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  <url>
    <loc>https://modelsatwork.news/article/theophyseval-gpt-6-astra-codex-49-of-50-physics-problems-under-3-dollars-each</loc>
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      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-15T15:58:00.000Z</news:publication_date>
      <news:title>TheoPhysEval: GPT-6-Astra in Codex solves 49 of 50 physics tasks</news:title>
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    <loc>https://modelsatwork.news/article/ai2-gpu-scheduler-budgets-98-percent-owed-hours-debug-wait-30-seconds</loc>
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      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-15T15:00:00.000Z</news:publication_date>
      <news:title>Ai2's GPU budget scheduler: 98% of owed hours, 74% fewer repairs</news:title>
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  <url>
    <loc>https://modelsatwork.news/article/apertus-1-5-open-weights-8b-70b-262k-context-apache-2-full-training-data</loc>
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      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-15T14:10:00.000Z</news:publication_date>
      <news:title>Apertus 1.5: open 8B and 70B models, 262k context, Apache 2.0</news:title>
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  <url>
    <loc>https://modelsatwork.news/article/jevcrawl-open-source-agent-crawler-0-025-per-task-vs-0-194-llm-link-picking</loc>
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      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-15T13:05:00.000Z</news:publication_date>
      <news:title>Jevcrawl crawler for agents: $0.025 a task, 40% correct</news:title>
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  <url>
    <loc>https://modelsatwork.news/article/aws-sagemaker-jumpstart-model-test-script-one-prompt-qwen3-5-27b-9-seconds-delete-endpoint</loc>
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      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-15T12:10:00.000Z</news:publication_date>
      <news:title>AWS shows a script to test SageMaker JumpStart models</news:title>
      <news:keywords>AWS, Amazon SageMaker AI, Evals, Latency, Vendor-published</news:keywords>
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  </url>
  <url>
    <loc>https://modelsatwork.news/article/hugging-face-tokenizers-bert-50x-faster-ascii-skip-embedding-rag-pipelines</loc>
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      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-15T10:05:00.000Z</news:publication_date>
      <news:title>Hugging Face makes BERT tokenizing up to 50x faster</news:title>
      <news:keywords>Inference, RAG, Cost, Open source, Vector search</news:keywords>
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  <url>
    <loc>https://modelsatwork.news/article/aws-agentcore-powerpoint-generator-sample-0-04-dollars-per-deck-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>2026-10-15T01:57:00.000Z</news:publication_date>
      <news:title>AWS AgentCore deck generator sample: ~$0.04 and 70–90 seconds</news:title>
      <news:keywords>Agents, Amazon Bedrock AgentCore, Vendor-published, Cost, RAG</news:keywords>
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  <url>
    <loc>https://modelsatwork.news/article/graphicle-open-source-rust-code-graph-memory-for-coding-agents-kubernetes-3-min-vs-26-min</loc>
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      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-15T01:30:00.000Z</news:publication_date>
      <news:title>Graphicle: open-source code graph and memory for coding agents, runs locally</news:title>
      <news:keywords>Coding agents, Open source, Agents, Cost, Community</news:keywords>
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  </url>
  <url>
    <loc>https://modelsatwork.news/briefing/2026-10-16</loc>
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      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-16T10:30:00.000Z</news:publication_date>
      <news:title>The briefing, 2026-10-16: 404 Media reports Accenture funds only $29 a month per person for Claude Enterprise</news:title>
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  </url>
  <url>
    <loc>https://modelsatwork.news/briefing/2026-10-15</loc>
    <news:news>
      <news:publication><news:name>Models at Work</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-10-15T10:30:00.000Z</news:publication_date>
      <news:title>The briefing, 2026-10-15: Microsoft and Hugging Face say the best agent passed all 20 runs on only 47.5% of 507 workflows</news:title>
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