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  <url>
    <loc>https://tpsreport.news/news/neurodx-sphota-240m-model-liquid-ai-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>2026-11-02T07:50:53.845Z</news:publication_date>
      <news:title>NeuroDX's 240M-parameter Sphota scores 52.4% vs Liquid AI's 52.1% across about 11 benchmarks, company claims</news:title>
      <news:keywords>Sphota, NeuroDX, Manas AI, Liquid AI, IndiaAI Mission, small language models, benchmarks</news:keywords>
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  </url>
  <url>
    <loc>https://tpsreport.news/news/semianalysis-gdpx-benchmark-opus-5-5-12-percent</loc>
    <news:news>
      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02T05:35:49.332Z</news:publication_date>
      <news:title>SemiAnalysis launches GDPx agentic benchmark across 11 domains; best model, Opus 5.5, scores 12%</news:title>
      <news:keywords>GDPx, SemiAnalysis, benchmark, Opus 5.5, GPT-6 Astra, Gemini 4 Carbon, agentic, GDPval</news:keywords>
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  </url>
  <url>
    <loc>https://tpsreport.news/news/gpt-6-2-astra-gray-test-claude-mythos-5-5-spotted</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>2026-11-02T05:20:55.122Z</news:publication_date>
      <news:title>GPT-6.2-Astra enters gray test for some Pro users as Claude Mythos 5.5 appears in site code</news:title>
      <news:keywords>GPT-6.2-Astra, Claude Mythos 5.5, OpenAI, Anthropic, gray test, Hugging Face, leak</news:keywords>
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  </url>
  <url>
    <loc>https://tpsreport.news/news/deepseek-dsh-superagent-open-source-coding-agent-prototype</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>2026-11-02T04:51:02.329Z</news:publication_date>
      <news:title>DeepSeek's Harness team open-sources dsh-superagent, a research prototype coding agent driven by GitHub</news:title>
      <news:keywords>DeepSeek, DeepSeek Harness, dsh-superagent, coding agent, open source, GitHub, Feishu</news:keywords>
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  </url>
  <url>
    <loc>https://tpsreport.news/news/meituan-longcat-2-5-1-6t-multimodal-agentic-coding</loc>
    <news:news>
      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02T02:35:57.281Z</news:publication_date>
      <news:title>Meituan releases LongCat-2.5: 1.6T-parameter multimodal model, 88.4 on Terminal Bench v2.1</news:title>
      <news:keywords>Meituan, LongCat-2.5, agentic coding, multimodal, Terminal Bench, W4A4, mixture of experts</news:keywords>
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  </url>
  <url>
    <loc>https://tpsreport.news/news/liquid-ai-d1-2b-decision-model</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>2026-11-01T17:06:23.904Z</news:publication_date>
      <news:title>Liquid AI releases d1-2B, a 1.92B decision model that answers in one forward pass with no generated tokens</news:title>
      <news:keywords>Liquid AI, d1-2B, LFM3, decision model, open weights, vision-language, classification</news:keywords>
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  </url>
  <url>
    <loc>https://tpsreport.news/news/adobe-editagent-image-editing-agent-verification</loc>
    <news:news>
      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-01T15:05:44.798Z</news:publication_date>
      <news:title>EditAgent: Adobe, UC San Diego agent beats trained edit judges with measured image data</news:title>
      <news:keywords>Adobe, EditAgent, image editing, AI agents, UC San Diego, Qwen3.8, EditScore, research</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://tpsreport.news/news/claude-opus-5-5-system-prompt-game-cloning-rule</loc>
    <news:news>
      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-01T13:35:57.706Z</news:publication_date>
      <news:title>Anthropic adds two-sentence rule to Opus 5.5 system prompt to stop Claude cloning existing games</news:title>
      <news:keywords>Anthropic, Claude Code, Claude Opus 5.5, system prompt, game cloning, copyright</news:keywords>
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  </url>
  <url>
    <loc>https://tpsreport.news/news/vals-ai-pro-china-lean-chinese-models-study</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>2026-11-01T12:50:44.616Z</news:publication_date>
      <news:title>Vals AI study: Chinese models' pro-China lean is lower than expected, and shifts with prompt language</news:title>
      <news:keywords>Vals AI, benchmark, Chinese AI models, Kimi K3, GLM-5.3 Flash, Qwen3.8 Max, DeepSeek, political bias</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://tpsreport.news/news/z-ai-tang-jie-self-improving-ai-agi-safety</loc>
    <news:news>
      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-01T12:20:46.465Z</news:publication_date>
      <news:title>Z.ai founder Tang Jie says self-improving AI is a key step toward AGI, but must be done safely</news:title>
      <news:keywords>Z.ai, Tang Jie, AGI, recursive self-improvement, AI safety, China AI</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://tpsreport.news/news/streamvibe-google-proactive-video-agent-benchmark</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>2026-11-01T11:35:45.282Z</news:publication_date>
      <news:title>Google-led StreamVibe video agent decides when to speak up, but all tested models degrade over long videos</news:title>
      <news:keywords>Google, StreamVibe, video agents, proactive assistants, Qwen3.5, Gemini, benchmark, research</news:keywords>
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  </url>
  <url>
    <loc>https://tpsreport.news/news/chatgpt-chat-work-merger-shared-token-budget-december</loc>
    <news:news>
      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-01T10:05:44.921Z</news:publication_date>
      <news:title>ChatGPT to share one token budget across Chat and Codex on Plus, Pro and Business from December</news:title>
      <news:keywords>OpenAI, ChatGPT, Codex, usage limits, pricing, ChatGPT Plus, ChatGPT Pro, ChatGPT Business</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://tpsreport.news/news/nace-ai-drex-max-v1-27b-apple-silicon</loc>
    <news:news>
      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-01T08:20:48.918Z</news:publication_date>
      <news:title>Nace AI open-sources Drex Max v1, a 27B multimodal decision model for Apple Silicon</news:title>
      <news:keywords>Drex Max v1, Nace AI, open source, Apple Silicon, local inference, multimodal, 27B</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://tpsreport.news/news/sensenova-loop-9b-preview-looped-transformer-apache-2</loc>
    <news:news>
      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-01T02:05:58.024Z</news:publication_date>
      <news:title>SenseTime open-sources 9B SenseNova-Loop-9B-Preview, a looped model, under Apache 2.0</news:title>
      <news:keywords>SenseTime, SenseNova-Loop-9B-Preview, open-source, looped transformer, multimodal, Apache 2.0, Hugging Face</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://tpsreport.news/news/anthropic-claude-watermark-opus-4-6-sonnet-4-6-sampling-loophole</loc>
    <news:news>
      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T19:35:44.489Z</news:publication_date>
      <news:title>Anthropic watermarks four more Claude models, but sampling tweaks defeat it on Opus 4.6 and Sonnet 4.6</news:title>
      <news:keywords>Anthropic, Claude, watermark, SynthID, EU AI Act, Claude Opus 4.6, Claude Sonnet 4.6, Claude Mythos 5</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://tpsreport.news/news/deepseek-super-agent-router-worker-architecture</loc>
    <news:news>
      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T19:05:52.059Z</news:publication_date>
      <news:title>DeepSeek open-sources Super-agent prototype: Router-Worker design hits 15.7-minute P95 in simulation</news:title>
      <news:keywords>DeepSeek, agents, Super-agent, open-source, agent-architecture, GitHub, DeepSeek Harness</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://tpsreport.news/news/anthropic-claude-generated-datasets-train-models-sabotage-oversight</loc>
    <news:news>
      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T15:20:50.679Z</news:publication_date>
      <news:title>Anthropic's Claude wrote harmless-looking datasets that trained models to sabotage oversight</news:title>
      <news:keywords>Anthropic, Claude, AI safety, alignment, red teaming, emergent misalignment, fine-tuning, data monitoring</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://tpsreport.news/news/anthropic-self-replicating-ai-botnets-experts-respond</loc>
    <news:news>
      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T13:05:51.266Z</news:publication_date>
      <news:title>Anthropic Warns Small AI Models Are Months From Self-Replicating Botnets; Experts Call Threat Familiar</news:title>
      <news:keywords>Anthropic, AI safety, botnets, self-replication, cybersecurity, Mirai, Frontier Red Team, open-weight models</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://tpsreport.news/news/claude-opus-5-5-game-recreation-reverse-engineering-refusals</loc>
    <news:news>
      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T12:35:46.240Z</news:publication_date>
      <news:title>Users report Claude refusing game recreation and reverse-engineering tasks; Anthropic silent</news:title>
      <news:keywords>Anthropic, Claude Code, Claude Opus 5.5, reverse engineering, Cyber Verification Program, Project Glasswing, safety policy, game development</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://tpsreport.news/news/factory-droid-1-0-model-independent-coding-agent-harness</loc>
    <news:news>
      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T12:20:46.140Z</news:publication_date>
      <news:title>Factory releases Droid 1.0 agent harness, 65.2% on Terminal-Bench 4 with Claude Opus 5.5</news:title>
      <news:keywords>Factory, Droid, coding agent, Terminal-Bench 4, Claude Opus 5.5, agent harness</news:keywords>
    </news:news>
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