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    Home»A.I. News»3I/ATLAS makes it’s closest approach to Earth | Avi Loab
    A.I. News

    3I/ATLAS makes it’s closest approach to Earth | Avi Loab

    MichaelBy MichaelDecember 19, 2025No Comments2 Mins Read
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    Follow Avi Loab on Medium
    https://avi-loeb.medium.com/

    The latest AI News. Learn about LLMs, Gen AI and get ready for the rollout of AGI. Wes Roth covers the latest happenings in the world of OpenAI, Google, Anthropic, NVIDIA and Open Source AI.

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    ______________________________________________
    TIMELINE
    0:00 Cold open + Avi Loeb intro
    0:55 Why only 3 interstellar objects so far? (ʻOumuamua, Borisov, 3I-ATLAS)
    2:47 How we started finding them
    5:05 Loeb’s 2014 “interstellar meteor” expedition
    7:28 “There should be a quadrillion"
    9:05 Panspermia + 3I-ATLAS chemistry
    10:00 Light sails and tech analogies
    10:46 Sci-fi light sails → Breakthrough Starshot concept
    11:18 Sunlight push vs comet outgassing
    14:58 Tesla Roadster catalog mistake + “expand the training data” analogy
    16:10 Why misclassification matters (risk framing; “can’t judge by its cover”)
    20:00 Using AI to find “outliers” (Galileo Project strategy)
    18:30 Dylan’s AI question: training telescopes to detect machine signatures
    19:09 Loeb’s approach: train on known objects → search the tails (outliers)
    21:43 What features matter (speed, acceleration, performance envelope)
    22:00 Galileo Project observatories + publish-to-peer-review commitment
    23:01 Looking far: Dyson spheres and infrared searches (limits, false positives)
    30:00 Origins, trajectories, and Mars as a “museum”
    28:51 Can we trace where these objects came from? Why it’s hard
    29:15 Population inference: what the speed suggests about star age (ʻOumuamua vs 3I-ATLAS)
    31:57 Mars: possible life transfer + caves/lava tubes as “space archaeology”
    35:58 Transition: Fermi paradox setup
    40:00 Fermi paradox, scientific culture, and “heretics”
    36:13 Loeb’s take: “you can’t ask until you invest” (funding + search effort)
    40:38 Galileo/Vatican analogy + “ignorance doesn’t change reality”
    42:12 Critique of string theory culture; falsifiability and experimental “guillotine”
    48:51 Science vs politics incentives; accountability theme
    50:00 How to spend money + innovation portfolio + AI humility ending
    51:07 “Unlimited resources”: fund experiments, reward deviation, diversify research bets
    54:48 Hinton/neural nets analogy (backing unfashionable ideas)
    56:13 “Cosmic modesty”: AI child + alien intelligence, and what that would do to culture
    1:00:07 Using AI leaders to expand the search + closing optimism and farewell

    #ai #openai #llm

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    Michael

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