<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>Polylog — The AI Intelligence Brief</title>
    <link>https://polylog.news/ai</link>
    <description>Frontier labs, chips, compute, model releases, and AI intelligence for people in the field.</description>
    <language>en</language>
    <item>
      <title>Bond Investors Start Repricing the Debt Financing the AI Buildout</title>
      <link>https://polylog.news/ai/2026-07-31/bond-investors-start-repricing-the-debt-financing-the-ai-bui</link>
      <guid isPermaLink="true">https://polylog.news/ai/2026-07-31/bond-investors-start-repricing-the-debt-financing-the-ai-bui</guid>
      <description>Morgan Stanley projects about 500 billion dollars of AI-related debt issuance in 2026, and coverage on hyperscaler bond sales is thinning as lenders demand more yield.</description>
      <source url="https://www.cnbc.com/2026/07/24/bond-market-anxiety-ai-capex-spending.html">CNBC</source>
      <pubDate>Fri, 31 Jul 2026 06:00:12 GMT</pubDate>
    </item>
    <item>
      <title>OpenAI Cuts GPT-5.6 Luna Pricing 80 Percent and Adds a Faster Sol Mode</title>
      <link>https://polylog.news/ai/2026-07-31/openai-cuts-gpt-5-6-luna-pricing-80-percent-and-adds-a-faste</link>
      <guid isPermaLink="true">https://polylog.news/ai/2026-07-31/openai-cuts-gpt-5-6-luna-pricing-80-percent-and-adds-a-faste</guid>
      <description>Luna drops to 0.20 dollars per million input tokens and 1.20 dollars output, while a new Sol Fast mode runs up to 2.5 times faster at twice the standard price.</description>
      <source url="https://openai.com/index/advancing-the-price-performance-frontier-with-gpt-5-6">OpenAI</source>
      <pubDate>Fri, 31 Jul 2026 06:00:12 GMT</pubDate>
    </item>
    <item>
      <title>US Regulator Bans New Imports of Foreign-Made Humanoid and Quadruped Robots</title>
      <link>https://polylog.news/ai/2026-07-31/us-regulator-bans-new-imports-of-foreign-made-humanoid-and-q</link>
      <guid isPermaLink="true">https://polylog.news/ai/2026-07-31/us-regulator-bans-new-imports-of-foreign-made-humanoid-and-q</guid>
      <description>The Federal Communications Commission cited supply-chain and infrastructure cybersecurity risk in a rule that targets Chinese producers, who hold an estimated 85 percent of the humanoid market.</description>
      <source url="https://www.washingtonpost.com/technology/2026/07/28/fcc-bans-foreign-humanoid-robots-expanding-campaign-against-chinese-tech/">The Washington Post</source>
      <pubDate>Fri, 31 Jul 2026 06:00:12 GMT</pubDate>
    </item>
    <item>
      <title>DeepMind&apos;s Gemini Robotics ER 2 Adds Video Progress Tracking and Multi-Robot Coordination</title>
      <link>https://polylog.news/ai/2026-07-31/deepmind-s-gemini-robotics-er-2-adds-video-progress-tracking</link>
      <guid isPermaLink="true">https://polylog.news/ai/2026-07-31/deepmind-s-gemini-robotics-er-2-adds-video-progress-tracking</guid>
      <description>The embodied-reasoning model reports 57.4 percent accuracy on continuous progress classification and 91.3 percent on moment finding, orchestrating actions while delegating motor control to lower-level policies.</description>
      <source url="https://blog.google/innovation-and-ai/models-and-research/google-deepmind/gemini-robotics-er-2/">Google DeepMind</source>
      <pubDate>Fri, 31 Jul 2026 06:00:12 GMT</pubDate>
    </item>
    <item>
      <title>DeepMind Reassigns Its AlphaFold Team, Redirecting Talent Toward Gemini</title>
      <link>https://polylog.news/ai/2026-07-31/deepmind-reassigns-its-alphafold-team-redirecting-talent-tow</link>
      <guid isPermaLink="true">https://polylog.news/ai/2026-07-31/deepmind-reassigns-its-alphafold-team-redirecting-talent-tow</guid>
      <description>Core authors have moved to other divisions, Isomorphic Labs, or rivals, with Nobel laureate John Jumper having left for Anthropic in June.</description>
      <source url="https://www.engadget.com/2225849/google-shuts-down-alphafold/">Engadget</source>
      <pubDate>Fri, 31 Jul 2026 06:00:12 GMT</pubDate>
    </item>
    <item>
      <title>Zuckerberg Urges Washington to Accelerate AI Rather Than Restrict It</title>
      <link>https://polylog.news/ai/2026-07-31/zuckerberg-urges-washington-to-accelerate-ai-rather-than-res</link>
      <guid isPermaLink="true">https://polylog.news/ai/2026-07-31/zuckerberg-urges-washington-to-accelerate-ai-rather-than-res</guid>
      <description>In a Wall Street Journal op-ed the Meta chief argued the benefits of broad AI distribution outweigh the risks, days after conceding internally that Meta&apos;s agent work has not accelerated as expected.</description>
      <source url="https://qz.com/mark-zuckerberg-meta-ai-development-accelerate-072926">Quartz</source>
      <pubDate>Fri, 31 Jul 2026 06:00:12 GMT</pubDate>
    </item>
    <item>
      <title>GPTZero Finds Fabricated Citations in PwC Middle East Research Reports</title>
      <link>https://polylog.news/ai/2026-07-31/gptzero-finds-fabricated-citations-in-pwc-middle-east-resear</link>
      <guid isPermaLink="true">https://polylog.news/ai/2026-07-31/gptzero-finds-fabricated-citations-in-pwc-middle-east-resear</guid>
      <description>The detection firm estimated an 84 percent chance one report was entirely AI-generated, rising to 100 percent once its reference section was excluded, with footnotes pointing to dead or nonexistent sources.</description>
      <source url="https://www.eweek.com/news/gptzero-flags-suspected-ai-content-and-false-citations-in-pwc-reports/">eWeek</source>
      <pubDate>Fri, 31 Jul 2026 06:00:12 GMT</pubDate>
    </item>
    <item>
      <title>Paper Documents Emergent Deception in Mixed-Motive LLM Multi-Agent Systems</title>
      <link>https://polylog.news/ai/2026-07-31/paper-documents-emergent-deception-in-mixed-motive-llm-multi</link>
      <guid isPermaLink="true">https://polylog.news/ai/2026-07-31/paper-documents-emergent-deception-in-mixed-motive-llm-multi</guid>
      <description>Under asymmetric information and conflicting objectives, agents built on current models learn to withhold and misrepresent, the study reports, with deception rising as goals diverge.</description>
      <source url="https://arxiv.org/abs/2607.26120">arXiv cs.AI</source>
      <pubDate>Fri, 31 Jul 2026 06:00:12 GMT</pubDate>
    </item>
    <item>
      <title>New Jailbreak Method Uses Dual-Layer Encoding to Slip Past LLM Moderation</title>
      <link>https://polylog.news/ai/2026-07-31/new-jailbreak-method-uses-dual-layer-encoding-to-slip-past-l</link>
      <guid isPermaLink="true">https://polylog.news/ai/2026-07-31/new-jailbreak-method-uses-dual-layer-encoding-to-slip-past-l</guid>
      <description>RoguePrompt hides instructions in a self-reconstructing encoding that safety filters do not parse, then has the model decode and execute them.</description>
      <source url="https://arxiv.org/abs/2607.27373">arXiv cs.CR</source>
      <pubDate>Fri, 31 Jul 2026 06:00:12 GMT</pubDate>
    </item>
    <item>
      <title>Italian Startup Unveils a Humanoid With Full-Body Sensor Skin</title>
      <link>https://polylog.news/ai/2026-07-31/italian-startup-unveils-a-humanoid-with-full-body-sensor-ski</link>
      <guid isPermaLink="true">https://polylog.news/ai/2026-07-31/italian-startup-unveils-a-humanoid-with-full-body-sensor-ski</guid>
      <description>Generative Bionics says Gene.01 detects touch, temperature, proximity, and force, letting it sense a person before contact and adjust its motion.</description>
      <source url="https://t.me/aipost/7682">AI Post (Telegram)</source>
      <pubDate>Fri, 31 Jul 2026 06:00:12 GMT</pubDate>
    </item>
    <item>
      <title>ByteDance Readies Seedance 2.5, Its Next AI Video Generation Model</title>
      <link>https://polylog.news/ai/2026-07-31/bytedance-readies-seedance-2-5-its-next-ai-video-generation</link>
      <guid isPermaLink="true">https://polylog.news/ai/2026-07-31/bytedance-readies-seedance-2-5-its-next-ai-video-generation</guid>
      <description>The update is positioned to succeed Seedance 2.0, currently regarded as the tool&apos;s most capable version, with expanded creation controls.</description>
      <source url="https://t.me/aipost/7681">AI Post (Telegram)</source>
      <pubDate>Fri, 31 Jul 2026 06:00:12 GMT</pubDate>
    </item>
    <item>
      <title>Study Probes Why RL-Tuned Models Out-Reason Their Supervised Counterparts</title>
      <link>https://polylog.news/ai/2026-07-31/study-probes-why-rl-tuned-models-out-reason-their-supervised</link>
      <guid isPermaLink="true">https://polylog.news/ai/2026-07-31/study-probes-why-rl-tuned-models-out-reason-their-supervised</guid>
      <description>The paper attributes the reinforcement-learning advantage on math tasks to representational quality rather than surface answer accuracy, aiming at the mechanism behind a widely observed gap.</description>
      <source url="https://arxiv.org/abs/2607.26119">arXiv cs.AI</source>
      <pubDate>Fri, 31 Jul 2026 06:00:12 GMT</pubDate>
    </item>
  </channel>
</rss>