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  • Cool Worlds

    JWST Surveyed a Jupiter-like Exoplanet for Exomoons: Results

    Use code coolworlds at https://incogni.com/coolworlds to get an exclusive 60% off an annual Incogni plan. The day has finally come! Today we share our results using JWST to look for exomoon around Kepler-167e... buckle in... Written & presented by David Kipping → Support our research: https://www.coolworldslab.com/support → Get merch: https://crowdmade.com/collections/cool-worlds → Check out our podcast: www.youtube.com/@CoolWorldsPodcast THANK-YOU to D. Smith, C. Bottaccini, D. Daughaday, S. Brownlee, E. West, T. Zajonc, A. De Vaal, M. Elliott, B. Daniluk, S. Vystoropskyi, S. Lee, Z. Danielson, C. Fitzgerald, C. Souter, M. Gillette, J. Rockett, M. Sanford, T. Donkin, A. Schoen, K. Dabrowski, J. Armstrong, B. Smith, J. Bergman, C. Macdonald, M. Hedlund, N. Corwin, K. Howard, L. Deacon, G. Metts, R. Provost, G. Fullwood, N. De Haan, R. Williams, E. Garland, R. Lovely, D. Compos, F. Demopoulos, T. Edris, M. O'Brien, D. Lee, M. Czirr, I. Williams, B. Reese, A. Nimmerjahn, C. Seay, D. Johnson, L. Cunningham, M. Morrow, M. Campbell, B. Devermont, P. Borisoff, H. Schiff, J. Cos, C. Hansen, R. Chaffee, A. Ortiz, B. McMillan, B. Cartmell, J. Bryant, J. Obioma, M. Zeiler, S. Murray, S. Patterson, C. Kennedy, G. Le Saint, W. Ruf, A. Kochkov, B. Langley, P. Stevenson, T. Ford, A. Laroye, I. Venzor, R. Raszka, B. Gaalen, J. Alley, D. Aron, G. Thomsen, S. Shardool, A. Phan Le, N. Offor, A. Huch, J. Morrison, C. Fitzsimmons, W. Smith, A. Twyman, B. Burgess, B. Bueche, D. Hoffman, J. Murphy, J. Matters, R. Borbidge, A. Singh, S. Larter, M. Adler, B. Ross-Lee & C. Frederick. REFERENCES ► Kipping et al., 2025, "A JWST Transit of a Jupiter Analog: II. A Search for Exomoons", AAS Journals, submitted: https://arxiv.org/abs/2511.15317 ► Cassese et al., 2025, "A JWST Transit of a Jupiter Analog I: Constraints on the Oblateness of Kepler-167e", AAS Journals, submitted: https://arxiv.org/abs/2511.02067 MUSIC Licensed by SoundStripe.com (SS) [shorturl.at/ptBHI], Artlist.io, via CC Attribution License (https://creativecommons.org/licenses/by/4.0/) or with permission from the artist. You can see all of our past music here: https://open.spotify.com/playlist/0Bu2UQlKDb0KaeliLZUOZn 0:00 Sid Acharya - Stories from the Sky 1:20 Hill - There Is but One Good 7:53 Falls - Life in Binary 13:00 Chris Zabriskie - tories About the World That Once Was 14:29 Kyle Preston - An Ocean of Quiet Confession 19:13 Chris Zabriskie - We Were Never Meant to Live Here 20:38 Kyle Preston - Up The Oregon Coast 23:15 Hill - Turn Away 26:35 Hill - To Accept the Partings That Must Come CHAPTERS 0:00 Sixteen Years 3:57 Big Guns 8:57 First Impressions 13:00 Incogni 14:29 Too Good To Be True 18:54 Detective Mode 23:20 Aftermath 29:02 Credits & Outro #JWST #Exomoons #CoolWorlds Learn more about your ad choices. Visit megaphone.fm/adchoices

    Today · 36 min
  • Logically Answered

    Why I Bet $250,000 That Nvidia Will Crash | Logically Answered

    Why I Bet $250,000 That Nvidia Will Crash Earn Cash Back On Stocks: Up To $5,000 Per Year https://www.silomarkets.com/logic Nvidia has experienced one of the most explosive moves ever seen in the stock market. The company has managed grown $1 trillion in 31 days, 12x within 20 months, and 265x within 10 years. While Nvidia has managed to achieve impressive fundamental growth along the way, it doesn’t quite line up with how much Nvidia stock has grown in the same time period. In fact, there are quite a few frightening similarities with Cisco during the dotcom bubble. For starters, Cisco was seen as the company that was selling the shovels for the internet boom and Nvidia is seen as the company that’s selling shovels for the AI boom. Moreover, both companies drove substantial revenue from startups with very little real revenue or cash flow. This video explains the various red flags regarding Nvidia’s recent runup and why a mega crash of 70% or above may be right around the corner. Free Weekly Newsletter With Insiders: https://logicallyanswered.co/ Socials: https://www.instagram.com/hariharan.jayakumar/ Discord Community: https://discord.gg/SJUNWNt Timestamps: 0:00A Bet Against Nvidia 0:18The Need For GPUS 2:01How We Got Here 6:17The Tale Of Cisco 8:23An Impending Crash 12:58The Grand Prediction Resources: https://pastebin.com/5NUBki6z Disclaimer: This video is not a solicitation or personal financial advice. All investing involves risk. Please do your own research. https://www.silomarkets.com/disclosures Logically Answered is centered around explaining the economics of tech and social media. These sectors are generally analyzed through the lenses of finance and economics to determine which industries and companies will thrive and which will fall. In addition to this analysis, the content is often focused on the stories of various famous entrepreneurs such as Elon Musk, Steve Jobs, and Jeff Bezos. Logically Answered also cover the rise and fall of several interesting companies and services that we come across on a daytoday basis. There have been so many companies that have risen to fame and then died out in a single generation. The most interesting companies are the ones that were able to save themselves and avoid bankruptcy. Feel free to follow the podcast if you would like to see any of these topics Logically Answered. Find Logically Answered on YouTube: https://www.youtube.com/@LogicallyAnswered/ Disclaimer: This podcast is an independently created audio adaptation of content originally published by Logically Answered. This is a fan made podcast that appreciates the channel’s insightful approach to knowledge and aims to make it accessible to those who prefer listening over watching. This podcast is not affiliated with, endorsed by, or officially connected to Logically Answered in any way. All rights to the original content belong to Logically Answered. If you have any concerns, please reach out. ------- --------- Keywords: entrepreneur stories, tech podcast, jeff bezos, tech trends, tech analysis Learn more about your ad choices. Visit megaphone.fm/adchoices

    Today · 20 min
  • Daily Paper Cast

    The Teacher Is a Direction, Not a Destination: Extrapolating RL-Induced Representation Residuals in On-Policy Distillation

    🤗 Upvotes: 134 | cs.LG Authors: Hao Li, MeiJia Chen, Weijie Ren, Donghan Li, Zijun Tian, Jingchun Huang, Naibo Wang Title: The Teacher Is a Direction, Not a Destination: Extrapolating RL-Induced Representation Residuals in On-Policy Distillation Arxiv: http://arxiv.org/abs/2609.36484v1 Abstract: On-policy distillation (OPD) trains a student to match the teacher's next-token distributions on the student's own trajectories and has yielded substantial empirical gains. Generalized variants allow the student to surpass the teacher by extrapolating an implicit reward in output space. The language-model head, however, attenuates this change anisotropically: much of the change encoded in the teacher's hidden states reaches the logits at a small fraction of its weight, and the sampled-token log-probability ratios on which output-space extrapolation relies inject noise that the extrapolation amplifies, making training unstable. We observe that reinforcement learning (RL) shifts a model's internal representations relative to its base checkpoint, and that the direction of this shift can be measured at every layer. Motivated by this observation, we propose RIDE (RL-Induced Direction Extrapolation), which extrapolates the RL-induced change directly in representation space: at every layer and token position, RIDE computes the residual between the teacher and its pre-RL checkpoint and regresses the student's hidden states toward targets displaced beyond the teacher along this residual. Conditioned on a sampled trajectory, this regression is equivalent to maximizing a linear directional reward defined by the residual under a quadratic penalty centered at the teacher, which makes explicit how the objective moves the student along the RL-induced direction while limiting its deviation from the teacher. Across four base/RL-teacher pairs spanning different scales, architectures, and pre-training lineages, RIDE approaches or exceeds the RL-trained teacher on every pair and is the only method whose mean does so, and it consistently outperforms output-space extrapolation, which degrades the student whenever the teacher is close to its base. Project page: https://github.com/xixixixixxxx/RIDE.

    Today · 21 min
  • Okay, But... Birds

    Okay, but what happens when a bird gets sick?

    E42. Birds get sick too, and a lot of what happens next looks surprisingly familiar. Dr. Andrea Townsend of Hamilton College has spent two decades following American crows through outbreaks, and she walks Scott through what illness really does to a bird, from the family it belongs to down to the clever brain it depends on. In this episode, you'll hear about: The surprising way crows choose their partners, and what it costs them when disease comes around What a stomach bug does to one of the cleverest birds you'll ever meet Why going it alone can be the riskier move while a virus is spreading All audio, video, and images in this episode are either original to Okay, But... Birds (© Okay Media, LLC) or used under license/permission from the respective rights holders. Media from the Macaulay Library is used courtesy of the Cornell Lab of Ornithology as follows: American Crow video contributed by Jay McGowan, ML472843 Common Raven audio contributed by Gerrit Vyn, ML137574 Burrowing Owl audio contributed by Bob McGuire, ML188805

    Today · 33 min

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