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    <loc>https://tpsreport.news/news/sakana-ai-mass-self-improving-qwen3-6-27b-blind-spots</loc>
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      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
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      <news:publication_date>2026-10-12T18:06:00.521Z</news:publication_date>
      <news:title>Sakana AI's MASS self-improvement lifts Qwen3.6-27B win rate to 69.9%, but self-judging passes flawed runs</news:title>
      <news:keywords>Sakana AI, UC Berkeley, MASS, recursive self-improvement, Qwen3.6-27B, multi-agent, self-supervision, research</news:keywords>
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    <loc>https://tpsreport.news/news/meta-muse-wonder-agent-model-paid-subscription</loc>
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      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
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      <news:publication_date>2026-10-12T17:20:49.008Z</news:publication_date>
      <news:title>Meta launches Muse Wonder agent model, gating it behind $20 and $100 monthly Muse app plans</news:title>
      <news:keywords>Meta, Muse Wonder, Muse, AI agents, Muse Code, Meta Model API, Alexandr Wang, subscriptions</news:keywords>
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  </url>
  <url>
    <loc>https://tpsreport.news/news/karpathy-four-tiers-ai-users-5000-internal-frontier-access</loc>
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      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
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      <news:publication_date>2026-10-12T13:05:49.284Z</news:publication_date>
      <news:title>Karpathy estimates only 5,000 people worldwide have access to internal frontier AI systems</news:title>
      <news:keywords>Andrej Karpathy, Anthropic, OpenAI, AI agents, frontier models, AI adoption, Sam Altman, reinforcement learning</news:keywords>
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  </url>
  <url>
    <loc>https://tpsreport.news/news/tasteval-opus-5-5-research-taste-benchmark</loc>
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      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
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      <news:publication_date>2026-10-12T12:50:55.705Z</news:publication_date>
      <news:title>TasteVal: Opus 5.5 beats expert baseline at AI research experiment design, with a 2.30x compute multiplier</news:title>
      <news:keywords>benchmark, TasteVal, Humanity's Sixth Sense, Opus 5.5, GPT 6 Astra, recursive self-improvement, Kimi K3, GLM-5.3-flash</news:keywords>
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  <url>
    <loc>https://tpsreport.news/news/alphaproof-nexus-erdos-problems-science-peer-review</loc>
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      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
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      <news:publication_date>2026-10-12T09:50:46.953Z</news:publication_date>
      <news:title>DeepMind's AlphaProof Nexus solves 9 of 353 open Erdős problems in peer-reviewed Science paper</news:title>
      <news:keywords>AlphaProof Nexus, Google DeepMind, Gemini 3.1 Pro, Lean, Erdős problems, mathematics, formal verification, Science</news:keywords>
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  </url>
  <url>
    <loc>https://tpsreport.news/news/agent-teams-vs-solo-agents-vibe-code-bench-vals-ai</loc>
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      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
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      <news:publication_date>2026-10-11T15:50:46.963Z</news:publication_date>
      <news:title>Vals AI: Agent teams cost 1.8x–5.1x more than solo agents, with one significant gain in four tests</news:title>
      <news:keywords>agent teams, multi-agent, Vals AI, Vibe Code Bench, GPT-6 Sol, Claude Opus 5.5, token cost, benchmark</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://tpsreport.news/news/odyssey-3-world-model-public-preview</loc>
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      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-11T08:05:53.131Z</news:publication_date>
      <news:title>Odyssey-3 world model enters free public preview; 14B base model, 66.1 Physics-IQ claim carries caveats</news:title>
      <news:keywords>Odyssey, Odyssey-3, world model, generative video, robotics, Physics-IQ, WorldMark, research preview</news:keywords>
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