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    <description><![CDATA[<p>A look at new and interesting academic papers, across the fields. This content was generated with the assistance of AI and may contain inaccuracies and incorrect information. </p>]]></description>
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      <title><![CDATA[Quantum Telescopes: What Must Survive Before Light Becomes Data]]></title>
      <itunes:title><![CDATA[Quantum Telescopes: What Must Survive Before Light Becomes Data]]></itunes:title>
      <description><![CDATA[<p>Four connected physics papers examine how quantum memories and shared reference states could change astronomical measurement. We follow phase recovery in diamond spins, a rubidium-memory interferometer using a twenty-kilometre fibre link, the resource requirements for useful distributed measurements, and a proposal to process stored light from a bright star and faint planet.</p><p>The episode builds the necessary optics and quantum measurement concepts alongside the experiments: interference visibility, empty optical modes, heralding, phase references and information per observing hour. It separates what has been demonstrated from proposed imaging gains, including the difference between fibre length and physical telescope separation.</p><p>Research discussed:</p><p>- Stas et al. (2026), Nature: <a target="_blank" rel="noopener noreferrer nofollow" href="https://doi.org/10.1038/s41586-026-10171-w">https://doi.org/10.1038/s41586-026-10171-w</a></p><p>- Wang et al. (2026), Physical Review Letters: <a target="_blank" rel="noopener noreferrer nofollow" href="https://doi.org/10.1103/qpzn-h7p9">https://doi.org/10.1103/qpzn-h7p9</a></p><p>- Zhang and Jennewein (2025), Physical Review Research: <a target="_blank" rel="noopener noreferrer nofollow" href="https://doi.org/10.1103/bf51-tj3j">https://doi.org/10.1103/bf51-tj3j</a></p><p>- Mokeev et al. (2025), theoretical preprint: <a target="_blank" rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2509.09465v3">https://arxiv.org/abs/2509.09465v3</a></p><p>Script and narration produced with AI assistance. Experimental findings and theoretical predictions are identified separately. Full source and adaptation notes accompany the transcript.</p><p>Chapters</p><p>00:00:00 — A phase measurement in two memories</p><p>00:04:52 — What two telescopes need to share</p><p>00:10:18 — Empty modes and the measurement you must avoid</p><p>00:15:28 — How the diamond experiment moves the phase</p><p>00:21:02 — Contrast, false heralds and information per hour</p><p>00:26:17 — Rubidium memories and a twenty-kilometre fibre link</p><p>00:31:18 — Thermal photons, coincidence windows and delayed arrival</p><p>00:36:18 — Entanglement and a common phase reference</p><p>00:41:38 — Designing the resource instead of counting Bell pairs</p><p>00:46:28 — Storing a spatial state before taking its picture</p><p>00:51:31 — Learning a faint source through collective measurements</p><p>00:56:44 — What would make this a useful telescope?</p><p></p>]]></description>
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      <itunes:episode>11</itunes:episode>
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      <pubDate>Sun, 13 Sep 2026 13:30:39 GMT</pubDate>
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      <title><![CDATA[Salmon After the Dams: Measuring Recolonization and Reproduction]]></title>
      <itunes:title><![CDATA[Salmon After the Dams: Measuring Recolonization and Reproduction]]></itunes:title>
      <description><![CDATA[<p>Chinook salmon entered and spawned in the reopened Klamath River soon after four dams were removed. What do these early observations establish about population recovery?</p><p>We examine Goodman and colleagues' 2026 Klamath paper alongside Pess and colleagues' 2024 Elwha study. Imaging sonar, species probabilities and ground surveys explain how researchers measured adult passage and spawning. Brood years, hatchery origin and returning offspring explain what is still needed to establish sustained reproduction.</p><p>A close reading of the methods, findings and limits of two dam-removal studies, following the evidence from newly accessible habitat to the next generation of salmon.</p><p>Papers:</p><p>Goodman et al. (2026), Scientific Reports: <a target="_blank" rel="noopener noreferrer nofollow" href="https://doi.org/10.1038/s41598-026-65437-0">https://doi.org/10.1038/s41598-026-65437-0</a></p><p>Pess et al. (2024), Frontiers in Ecology and Evolution: <a target="_blank" rel="noopener noreferrer nofollow" href="https://doi.org/10.3389/fevo.2024.1241028">https://doi.org/10.3389/fevo.2024.1241028</a></p><p>Chapters:</p><p>00:00 Salmon entering the reopened river</p><p>03:18 What the sonar could measure</p><p>07:11 What the spawning surveys established</p><p>09:33 Following offspring back from the ocean</p><p>13:31 What the Elwha records revealed</p><p>17:20 Measuring the years between spawning and return</p>]]></description>
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      <itunes:episode>10</itunes:episode>
      <podcast:episode>10</podcast:episode>
      <pubDate>Sat, 12 Sep 2026 13:43:09 GMT</pubDate>
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      <title><![CDATA[What a chain of thought is evidence of]]></title>
      <itunes:title><![CDATA[What a chain of thought is evidence of]]></itunes:title>
      <description><![CDATA[<p>A decodable answer, a difficulty threshold, an unmarked important step, and an argument about the word "reasoning".</p><p></p><ol><li>Kyle Cox, Darius Kianersi, and Adria Garriga-Alonso, "Post-Hoc Reasoning in Chain of Thought: Decoding and Steering Pre-Committed Answers," arXiv:2603.01437 (2026). <a target="_blank" rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2603.01437">https://arxiv.org/abs/2603.01437</a></li><li>Siddharth Boppana, Annabel Ma, Max Loeffler, Raphael Sarfati, Eric Bigelow, Atticus Geiger, Owen Lewis, and Jack Merullo, "Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought," arXiv:2603.05488 (2026). <a target="_blank" rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2603.05488">https://arxiv.org/abs/2603.05488</a></li><li>Kevin Du, Alexander Hoyle, Laura Ruis, and Acyr Locatelli, "Legibility is Not Interpretability: Comparing Judged and Actual Importance in Chain-Of-Thought Reasoning," arXiv:2609.04194 (2026). <a target="_blank" rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2609.04194">https://arxiv.org/abs/2609.04194</a></li><li>Subbarao Kambhampati, Kaya Stechly, Karthik Valmeekam, Lucas Saldyt, Siddhant Bhambri, and colleagues, "Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!", arXiv:2504.09762 (2025). https://arxiv.org/abs/2504.09762</li></ol>]]></description>
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      <itunes:episode>9</itunes:episode>
      <podcast:episode>9</podcast:episode>
      <pubDate>Sat, 12 Sep 2026 07:43:06 GMT</pubDate>
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      <title><![CDATA[The judge that can't repeat itself, and the benchmark that was wrong]]></title>
      <itunes:title><![CDATA[The judge that can't repeat itself, and the benchmark that was wrong]]></itunes:title>
      <description><![CDATA[<p>The instruments we measure language models with: repeatability, a blind spot, the reliability a decision requires, and a defective reference standard.</p><p></p><ol><li>Haoyuan Zhu and Jie Zhang, "Clean Engineering, Unstable Measurement: A Preregistered Reliability Failure of Black-Box LLM Observers on Shared Endpoints," arXiv:2609.04198 (2026). <a target="_blank" rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2609.04198">https://arxiv.org/abs/2609.04198</a></li><li>Sebastian Fox, Luke Markham, Ryan Lail, and Michael Karotsieris, "LLM Judges Verify Presence, Not Absence: Omission Blindness in AI Clinical Notes and What Recovers It," arXiv:2608.31016 (2026). <a target="_blank" rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2608.31016">https://arxiv.org/abs/2608.31016</a></li><li>Xing Zhang, Yanwei Cui, Guanghui Wang, Peiyang He, Ziyuan Li, Wei Qiu, and Bing Zhu, "Ratchet: How Reliable Must an LLM Judge Be to Retire a Skill?", arXiv:2605.22148 (2026). <a target="_blank" rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2605.22148">https://arxiv.org/abs/2605.22148</a></li><li>Sihan Hu, Lyuhan Huang, Youjin Deng, and Kun Chen, "SciCode-Verified: How Benchmark Defects Underestimated the Scientific-Coding Ability of Language Models," arXiv:2608.04975 (2026). https://arxiv.org/abs/2608.04975</li></ol>]]></description>
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      <itunes:episode>7</itunes:episode>
      <podcast:episode>7</podcast:episode>
      <pubDate>Sat, 12 Sep 2026 07:35:31 GMT</pubDate>
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      <title><![CDATA[Your agent's context is an attack surface]]></title>
      <itunes:title><![CDATA[Your agent's context is an attack surface]]></itunes:title>
      <description><![CDATA[<p>The agent harness as an attack surface: context assembly, the network path, crash recovery, and a defence that holds by construction.</p><p></p><ol><li>Zichuan Li, Jian Cui, Ashley Chen, Xiaojing Liao, and Luyi Xing, "What's in Your Agent's Context? Context Privilege Escalation Attacks against AI Agent Harness," arXiv:2609.01222 (2026). <a target="_blank" rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2609.01222">https://arxiv.org/abs/2609.01222</a></li><li>Hanzhi Liu, Chaofan Shou, Hongbo Wen, Yanju Chen, Ryan Jingyang Fang, and Yu Feng, "Your Agent Is Mine: Measuring Malicious Intermediary Attacks on the LLM Supply Chain," arXiv:2604.08407 (2026). <a target="_blank" rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2604.08407">https://arxiv.org/abs/2604.08407</a></li><li>Guanlong Wu, Dahui Li, Ke Jiang, Jianyu Niu, Cong Wang, and Yinqian Zhang, "Safe to Resume? Breaking Execution Continuity of Agent Execution via Rollback," arXiv:2608.29381 (2026). <a target="_blank" rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2608.29381">https://arxiv.org/abs/2608.29381</a></li><li>Edoardo Debenedetti, Ilia Shumailov, Tianqi Fan, Jamie Hayes, Nicholas Carlini, Daniel Fabian, Christoph Kern, Chongyang Shi, Andreas Terzis, and Florian Tramer, "Defeating Prompt Injections by Design," arXiv:2503.18813 (2025). https://arxiv.org/abs/2503.18813</li></ol>]]></description>
      <link>https://rss.com/podcasts/siftcast/3144536</link>
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      <itunes:episode>6</itunes:episode>
      <podcast:episode>6</podcast:episode>
      <pubDate>Sat, 12 Sep 2026 07:35:20 GMT</pubDate>
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      <title><![CDATA[Attention and inflammation, the serotonin story, and two natural experiments]]></title>
      <itunes:title><![CDATA[Attention and inflammation, the serotonin story, and two natural experiments]]></itunes:title>
      <description><![CDATA[<p>Evidence for surprising health claims: a manipulation, a synthesis, and two natural experiments.</p><p></p><ol><li>Nofar Mizrachi, Menachem Rottem, and Liron Rozenkrantz, "Voluntary attention regulates acute immune responses in humans," Nature Human Behaviour (2026). <a target="_blank" rel="noopener noreferrer nofollow" href="https://doi.org/10.1038/s41562-026-02541-1">https://doi.org/10.1038/s41562-026-02541-1</a></li><li>Joanna Moncrieff, Ruth E. Cooper, Tom Stockmann, Simone Amendola, Michael P. Hengartner, and Mark A. Horowitz, "The serotonin theory of depression: a systematic umbrella review of the evidence," Molecular Psychiatry 28, 3243-3256 (2023). <a target="_blank" rel="noopener noreferrer nofollow" href="https://doi.org/10.1038/s41380-022-01661-0">https://doi.org/10.1038/s41380-022-01661-0</a></li><li>Fabiana Corsi-Zuelli, Fang Li, Rachel Upthegrove, John A. Todd, Betty Raman, Paul J. Harrison, and Maxime Taquet, "Recombinant shingles vaccination and the risk of cardiovascular events," Nature Medicine (2026). <a target="_blank" rel="noopener noreferrer nofollow" href="https://doi.org/10.1038/s41591-026-04606-0">https://doi.org/10.1038/s41591-026-04606-0</a></li><li>Chen Zhu and Weilong Zhang, "Early-life sugar restriction causally reduces adult cancer incidence and slows biological aging," Proceedings of the National Academy of Sciences (2026). https://doi.org/10.1073/pnas.2610287123</li></ol>]]></description>
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      <itunes:episode>5</itunes:episode>
      <podcast:episode>5</podcast:episode>
      <pubDate>Sat, 12 Sep 2026 07:35:06 GMT</pubDate>
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      <title><![CDATA[Model collapse, and the shrinking diversity of how we write]]></title>
      <itunes:title><![CDATA[Model collapse, and the shrinking diversity of how we write]]></itunes:title>
      <description><![CDATA[<p>What generated text does to models and to people: collapse, curation, and lost diversity.</p><p></p><ol><li>Matthias Gerstgrasser, Rylan Schaeffer, Apratim Dey, Rafael Rafailov, Dhruv Pai, Henry Sleight, John Hughes, Tomasz Korbak, Rajashree Agrawal, Andrey Gromov, Daniel A. Roberts, Diyi Yang, David Donoho, and Sanmi Koyejo, "Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data," arXiv:2404.01413 (2024). <a target="_blank" rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2404.01413">https://arxiv.org/abs/2404.01413</a></li><li>Xuekai Zhu, Daixuan Cheng, Hengli Li, Kaiyan Zhang, Ermo Hua, Xingtai Lv, Ning Ding, Zhouhan Lin, Zilong Zheng, and Bowen Zhou, "How to Synthesize Text Data without Model Collapse?" arXiv:2412.14689 (2024). <a target="_blank" rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2412.14689">https://arxiv.org/abs/2412.14689</a></li><li>Ali Falahati, Mohammad Mohammadi Amiri, Kate Larson, and Lukasz Golab, "Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences," arXiv:2605.07724 (2026). <a target="_blank" rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2605.07724">https://arxiv.org/abs/2605.07724</a></li><li>Zhivar Sourati, Farzan Karimi-Malekabadi, Meltem Ozcan, Colin McDaniel, Alireza Ziabari, Jackson Trager, Ala N. Tak, Meng Chen, Fred Morstatter, and Morteza Dehghani, "The Shrinking Landscape of Linguistic Diversity in the Age of Large Language Models," arXiv:2502.11266 (2025). https://arxiv.org/abs/2502.11266</li></ol>]]></description>
      <link>https://rss.com/podcasts/siftcast/3144525</link>
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      <itunes:episode>4</itunes:episode>
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      <pubDate>Sat, 12 Sep 2026 07:34:57 GMT</pubDate>
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      <title><![CDATA[Mind viruses and the interaction tax: what happens when agents talk]]></title>
      <itunes:title><![CDATA[Mind viruses and the interaction tax: what happens when agents talk]]></itunes:title>
      <description><![CDATA[<p>What emerges when language-model agents interact.</p><p></p><ol><li>Summer Eunhyung Ann, Haokun Liu, and Chenhao Tan, "The Interaction Tax: When Communication Erases Diversity in Multi-Agent Teams," arXiv:2608.23541 (2026). <a target="_blank" rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2608.23541">https://arxiv.org/abs/2608.23541</a></li><li>Vassilis Papadopoulos, McNair Shah, Sam Zimmerman, and Jack Lindsey, "Mind Viruses: Self-Propagating Ideas in Multi-Agent LLM Systems," arXiv:2608.10218 (2026). <a target="_blank" rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2608.10218">https://arxiv.org/abs/2608.10218</a></li><li>Zeyuan Li, Lukas Petersson, Alessandro Acquisti, and Michiel A. Bakker, "Emergent Misaligned Communication in Long-Horizon Multi-Agent LLM Commerce," arXiv:2608.14825 (2026). <a target="_blank" rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2608.14825">https://arxiv.org/abs/2608.14825</a></li><li>Subhadeep Pal, Fiona Y. Wang, and Markus J. Buehler, "SwarmWorld: Stigmergic technological evolution in societies of language-model agents," arXiv:2608.26081 (2026). https://arxiv.org/abs/2608.26081</li></ol>]]></description>
      <link>https://rss.com/podcasts/siftcast/3144522</link>
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      <itunes:episode>3</itunes:episode>
      <podcast:episode>3</podcast:episode>
      <pubDate>Sat, 12 Sep 2026 07:34:45 GMT</pubDate>
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      <title><![CDATA[Watermarks, hidden messages, and stolen reasoning traces]]></title>
      <itunes:title><![CDATA[Watermarks, hidden messages, and stolen reasoning traces]]></itunes:title>
      <description><![CDATA[<p>Signals hidden in text: watermarking machine output, hiding messages in cover text, and stealing concealed reasoning.</p><p></p><ol><li>John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, and Tom Goldstein, "A Watermark for Large Language Models," arXiv:2301.10226 (2023). <a target="_blank" rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2301.10226">https://arxiv.org/abs/2301.10226</a></li><li>Sumanth Dathathri, Abigail See, Sumedh Ghaisas, Po-Sen Huang, Rob McAdam, et al., "Scalable watermarking for identifying large language model outputs," Nature 634, 818-823 (2024). <a target="_blank" rel="noopener noreferrer nofollow" href="https://doi.org/10.1038/s41586-024-08025-4">https://doi.org/10.1038/s41586-024-08025-4</a></li><li>Antonio Norelli and Michael Bronstein, "LLMs can hide text in other text of the same length," arXiv:2510.20075 (2025). <a target="_blank" rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2510.20075">https://arxiv.org/abs/2510.20075</a></li><li>Alexander Panfilov, David Schmotz, Ilia Shumailov, Luca Beurer-Kellner, Joachim Schaeffer, Ameya Prabhu, Jonas Geiping, and Maksym Andriushchenko, "Stealing Reasoning Traces from Proprietary LLM APIs," arXiv:2608.09867 (2026). https://arxiv.org/abs/2608.09867</li></ol>]]></description>
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      <pubDate>Sat, 12 Sep 2026 07:34:29 GMT</pubDate>
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      <title><![CDATA[The reasoning you can't see: filler tokens and illegible chains of thought]]></title>
      <itunes:title><![CDATA[The reasoning you can't see: filler tokens and illegible chains of thought]]></itunes:title>
      <description><![CDATA[<p>What a chain of thought does and does not reveal.</p><p></p><ol><li>Jacob Pfau, William Merrill, and Samuel R. Bowman, "Let's Think Dot by Dot: Hidden Computation in Transformer Language Models," arXiv:2404.15758 (2024). <a target="_blank" rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2404.15758">https://arxiv.org/abs/2404.15758</a></li><li>Vatsal Baherwani, Tom Goldstein, and Ashwinee Panda, "Not All LLM Reasoning is Visible in the Chain-of-Thought," arXiv:2607.22925 (2026). <a target="_blank" rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2607.22925">https://arxiv.org/abs/2607.22925</a></li><li>Kaley Brauer, Claudio Mayrink Verdun, and Samuel Marks, "Reading Between the Dots: Decoding Hidden Computation across Filler Tokens," arXiv:2607.03502 (2026). <a target="_blank" rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2607.03502">https://arxiv.org/abs/2607.03502</a></li><li>Arun Jose, "Reasoning Models Sometimes Output Illegible Chains of Thought," arXiv:2510.27338 (2025). https://arxiv.org/abs/2510.27338</li></ol>]]></description>
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      <pubDate>Sat, 12 Sep 2026 07:00:00 GMT</pubDate>
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