{ "schema": "thinktank-kg/films/v1", "note": "The record of released Knowledge Gardens films, newest first. films[0] feeds the homepage 'Latest' rail. To add a film: prepend an entry; keep slugs stable; posters live in /assets/posters/.jpg (1280x720). Vault base: https://vlezoyalutexenbnzzui.supabase.co/storage/v1/object/public/brand-assets/ Each film has a periodic-table `symbol` (two letters) and a `push` flag for the homepage's pushed cells. FILM 07 is self-hosted (chapters carry mp4 + poster); when it reaches YouTube, add youtube_id to each chapter and the homepage returns to the uploads playlist. Chapters may carry youtube_id / youtube_vertical_id once posted. A release may carry songs[] (music videos), rendered below the films, never in the hero; spotify_url null renders as 'Spotify · soon'.", "channel": { "name": "Charles Dahlgren", "handle": "@chillydahlgren", "channel_id": "UCJbSMNDbxmGElKqmZrdM1cg", "uploads_playlist": "UUJbSMNDbxmGElKqmZrdM1cg", "url": "https://www.youtube.com/@chillydahlgren" }, "films": [ { "slug": "ep303-three-dollar-physicist", "number": "EP 303", "title": "Three-Dollar Physicist", "kicker": "Moonshots EP 303 · Narration synthetic · Imagery generated · Founder: real · Five kinds of statement, every one stamped", "source": "Moonshots EP 303 (2026-10-17) · robocurve.org · arXiv:2610.16733 · organdonor.gov", "released": "2026-10-18", "runtime": "1:47", "runtime_seconds": 108, "youtube_id": null, "watch_url": "/films/ep303-three-dollar-physicist/", "long_mp4": "/assets/media/reels/ep303/EP303_three-dollar-physicist_16x9_web.mp4", "vertical_mp4": "/assets/media/reels/ep303/vertical/EP303_three-dollar-physicist_9x16_hookB_web.mp4", "poster": "/assets/posters/ep303-three-dollar-physicist.jpg", "thesis": "Robot brains got more than twice as good for about a third of the price in eight weeks, and an AI agent solved 49 of 50 brand-new physics problems at under three dollars each. A hundred and eight seconds on what that opens for anyone who knows how real work goes, with the founder at the front and back, every statement stamped, and three episodes of Moonshots news in the ticker.", "closing_thought": "Brains are cheap now. The scarce thing is good data about real work, real bodies, real lives.", "chapters": [ { "id": "EP303", "n": 1, "title": "Three-Dollar Physicist", "runtime": "1:47", "runtime_seconds": 108, "mp4": "/assets/media/reels/ep303/EP303_three-dollar-physicist_16x9_web.mp4", "poster": "/assets/posters/ep303-three-dollar-physicist.jpg", "line": "A robot brain costs 66 cents a try now.", "lede": "Robot brains got more than twice as good for about a third of the price in eight weeks, and an AI agent solved 49 of 50 brand-new physics problems at under three dollars each. A hundred and eight seconds on what that opens for anyone who knows how real work goes, with the founder at the front and back, every statement stamped, and three episodes of Moonshots news in the ticker.", "marks": [ [ "00:00", "The founder's open" ], [ "00:10", "Robot brains: 15 percent at $1.77 a try" ], [ "00:18", "September: 36 percent for 66 cents" ], [ "00:29", "What the know-how is worth now" ], [ "00:40", "Fifty new physics problems" ], [ "00:53", "The correction: 49, not fifty" ], [ "01:07", "110,000 people waiting for an organ" ], [ "01:17", "The garden's view" ], [ "01:31", "The founder's close" ] ] } ], "receipts": [], "symbol": "Tp", "push": false, "cell_number": "303", "credit": "The Knowledge Gardens × Moonshots Podcast", "series": { "planned": 1, "released": 1, "note": "" }, "ledger": "/assets/media/reels/ep303/ep303_ledger.json", "edl": "/assets/media/reels/ep303/edl_EP303_v3_16x9.json", "shorts": [ { "n": 1, "file": "/assets/media/reels/ep303/vertical/EP303_three-dollar-physicist_9x16_short1_web.mp4", "cover": "/assets/media/reels/ep303/vertical/EP303_three-dollar-physicist_9x16_short1_cover.jpg", "story": "Robot brains, 66 cents a try", "caption": "Three-Dollar Physicist | EP 303\n\nA robot brain costs 66 cents a try now.\n\nIn July the best AI at running two robot arms scored 15 percent at $1.77 a try. By September a cheaper model scored 36 percent for 66 cents. More than twice the skill, about a third of the price, in eight weeks.\n\nIf you run a kitchen, a farm or a job site, that know-how just got valuable.\n\nSources: robocurve.org, RoboDojo-RC Tier 1 (table 2026-10-13)\n#aikidotheAI #robotics #physics\nNarration synthetic. Imagery generated. Founder: real.", "post_day": 2, "duration_s": 34.292, "lines": [ "03", "04" ], "master": "films/kg/ep303/vertical/EP303_three-dollar-physicist_9x16_short1.mp4", "file_cropped": "/assets/media/reels/ep303/EP303_three-dollar-physicist_9x16_short1_web.mp4", "cover_cropped": "/assets/media/reels/ep303/EP303_three-dollar-physicist_9x16_short1_cover.jpg" }, { "n": 2, "file": "/assets/media/reels/ep303/vertical/EP303_three-dollar-physicist_9x16_short2_web.mp4", "cover": "/assets/media/reels/ep303/vertical/EP303_three-dollar-physicist_9x16_short2_cover.jpg", "story": "A day of a top physicist for $3", "caption": "Three-Dollar Physicist | EP 303\n\nA robot brain costs 66 cents a try now.\n\nPhysicists wrote fifty brand-new problems, each about a day's work for a leading expert. An AI agent solved 49, under $3 a problem. On the show it was all fifty; the paper says 49.\n\nStuck on a hard calculation in your lab or startup? That's a three-dollar question now.\n\nSources: arXiv:2610.16733, TheoPhysEval (2026-10-09)\n#aikidotheAI #robotics #physics\nNarration synthetic. Imagery generated. Founder: real.", "post_day": 3, "duration_s": 31.75, "lines": [ "09", "11" ], "master": "films/kg/ep303/vertical/EP303_three-dollar-physicist_9x16_short2.mp4", "file_cropped": "/assets/media/reels/ep303/EP303_three-dollar-physicist_9x16_short2_web.mp4", "cover_cropped": "/assets/media/reels/ep303/EP303_three-dollar-physicist_9x16_short2_cover.jpg" }, { "n": 3, "file": "/assets/media/reels/ep303/vertical/EP303_three-dollar-physicist_9x16_short3_web.mp4", "cover": "/assets/media/reels/ep303/vertical/EP303_three-dollar-physicist_9x16_short3_cover.jpg", "story": "110,000 waiting for an organ", "caption": "Three-Dollar Physicist | EP 303\n\nA robot brain costs 66 cents a try now.\n\nAbout 110,000 Americans are waiting for an organ (109,817 on the national list). XPRIZE says its next prize will try to keep donated organs alive six months; that's their own claim, not yet tested.\n\nBrains are cheap now. Good data about real bodies is the scarce thing.\n\nSources: organdonor.gov (2026-07-30) · XPRIZE's CEO on Moonshots EP #303 (2026-10-17)\n#aikidotheAI #robotics #physics\nNarration synthetic. Imagery generated. Founder: real.", "post_day": 4, "duration_s": 33.292, "lines": [ "13", "14" ], "master": "films/kg/ep303/vertical/EP303_three-dollar-physicist_9x16_short3.mp4", "file_cropped": "/assets/media/reels/ep303/EP303_three-dollar-physicist_9x16_short3_web.mp4", "cover_cropped": "/assets/media/reels/ep303/EP303_three-dollar-physicist_9x16_short3_cover.jpg" } ], "vertical": "/assets/media/reels/ep303/vertical/EP303_three-dollar-physicist_9x16_full_web.mp4", "vertical_set": { "date": "2026-10-20", "note": "Native 9:16, designed for the phone per shot (vertical grammar, L238), not cropped from the 16:9.", "full": { "file": "/assets/media/reels/ep303/vertical/EP303_three-dollar-physicist_9x16_full_web.mp4", "cover": "/assets/media/reels/ep303/vertical/EP303_three-dollar-physicist_9x16_full_cover.jpg", "duration_s": 107.708, "master": "films/kg/ep303/vertical/EP303_three-dollar-physicist_9x16_full.mp4" }, "hooks": { "A": { "file": "/assets/media/reels/ep303/vertical/EP303_three-dollar-physicist_9x16_hookA_web.mp4", "cover": "/assets/media/reels/ep303/vertical/EP303_three-dollar-physicist_9x16_hookA_cover.jpg", "duration_s": 102.0, "master": "films/kg/ep303/vertical/EP303_three-dollar-physicist_9x16_hookA.mp4" }, "B": { "file": "/assets/media/reels/ep303/vertical/EP303_three-dollar-physicist_9x16_hookB_web.mp4", "cover": "/assets/media/reels/ep303/vertical/EP303_three-dollar-physicist_9x16_hookB_cover.jpg", "duration_s": 105.708, "master": "films/kg/ep303/vertical/EP303_three-dollar-physicist_9x16_hookB.mp4" }, "C": { "file": "/assets/media/reels/ep303/vertical/EP303_three-dollar-physicist_9x16_hookC_web.mp4", "cover": "/assets/media/reels/ep303/vertical/EP303_three-dollar-physicist_9x16_hookC_cover.jpg", "duration_s": 102.125, "master": "films/kg/ep303/vertical/EP303_three-dollar-physicist_9x16_hookC.mp4" }, "D": { "file": "/assets/media/reels/ep303/vertical/EP303_three-dollar-physicist_9x16_hookD_web.mp4", "cover": "/assets/media/reels/ep303/vertical/EP303_three-dollar-physicist_9x16_hookD_cover.jpg", "duration_s": 102.208, "master": "films/kg/ep303/vertical/EP303_three-dollar-physicist_9x16_hookD.mp4" } }, "cut30": { "file": "/assets/media/reels/ep303/vertical/EP303_three-dollar-physicist_9x16_30s_web.mp4", "cover": "/assets/media/reels/ep303/vertical/EP303_three-dollar-physicist_9x16_30s_cover.jpg", "duration_s": 32.25, "master": "films/kg/ep303/vertical/EP303_three-dollar-physicist_9x16_30s.mp4" }, "edl": "/assets/media/reels/ep303/vertical/edl_EP303_v3_9x16.json" }, "vertical_mp4_cropped": "/assets/media/reels/ep303/EP303_three-dollar-physicist_9x16_hookA_web.mp4" }, { "slug": "ep302-seven-hundred-nineteen", "number": "EP 302", "title": "Seven Hundred Nineteen", "kicker": "Moonshots EP 302 · Narration synthetic · Imagery generated · Founder: real · Five kinds of statement, every one stamped", "source": "Moonshots EP 302 (2026-10-15) · github.com/openai/math · biohub.org", "released": "2026-10-20", "runtime": "1:26", "runtime_seconds": 86, "youtube_id": null, "watch_url": "/films/ep302-seven-hundred-nineteen/", "long_mp4": "/assets/media/reels/ep302/EP302_seven-hundred-nineteen_16x9_web.mp4", "vertical_mp4": "/assets/media/reels/ep302/vertical/EP302_seven-hundred-nineteen_9x16_hookB_web.mp4", "poster": "/assets/posters/ep302-seven-hundred-nineteen.jpg", "thesis": "One AI wrote 722 math papers in a day, took three back, and 719 still stand. The same week, $1.8 billion went to open data for a virtual cell. Eighty-six seconds on what cheap math and cells in software open up, with the founder at the front and back and every statement stamped.", "closing_thought": "Papers are getting cheap. Knowing what to do with them isn't. That's what the gardens grow.", "chapters": [ { "id": "EP302", "n": 1, "title": "Seven Hundred Nineteen", "runtime": "1:26", "runtime_seconds": 86, "mp4": "/assets/media/reels/ep302/EP302_seven-hundred-nineteen_16x9_web.mp4", "poster": "/assets/posters/ep302-seven-hundred-nineteen.jpg", "line": "An AI wrote seven hundred papers in a day, then took three back.", "lede": "One AI wrote 722 math papers in a day, took three back, and 719 still stand. The same week, $1.8 billion went to open data for a virtual cell. Eighty-six seconds on what cheap math and cells in software open up, with the founder at the front and back and every statement stamped.", "marks": [ [ "00:00", "The founder's open" ], [ "00:08", "722 math papers in one day" ], [ "00:24", "Three came down, fourteen fixed" ], [ "00:31", "The correction: 719 manuscripts" ], [ "00:42", "What cheap math is worth" ], [ "00:47", "$1.8 billion for a virtual cell" ], [ "01:01", "Your own cells, in software" ], [ "01:15", "The founder's close" ] ] } ], "receipts": [], "symbol": "Sh", "push": false, "cell_number": "302", "credit": "The Knowledge Gardens × Moonshots Podcast", "series": { "planned": 1, "released": 1, "note": "" }, "ledger": "/assets/media/reels/ep302/ep302_ledger.json", "edl": "/assets/media/reels/ep302/edl_EP302_v3_16x9.json", "shorts": [ { "n": 1, "file": "/assets/media/reels/ep302/vertical/EP302_seven-hundred-nineteen_9x16_short1_web.mp4", "cover": "/assets/media/reels/ep302/vertical/EP302_seven-hundred-nineteen_9x16_short1_cover.jpg", "story": "722 math papers in one day", "caption": "Seven Hundred Nineteen | EP 302\n\nAn AI wrote seven hundred papers in a day, then took three back.\n\nOn October 6, OpenAI put 722 math papers online in one day, written by an unreleased model. Read one a day and you'd finish in about two years.\n\nIf your work leans on hard math, a first draft just got cheap.\n\nSources: github.com/openai/math README (2026-10-06)\n#aikidotheAI #math #virtualcell\nNarration synthetic. Imagery generated. Founder: real.", "post_day": 2, "duration_s": 31.667, "lines": [ "01", "02", "07" ], "master": "films/kg/ep302/vertical/EP302_seven-hundred-nineteen_9x16_short1.mp4", "file_cropped": "/assets/media/reels/ep302/EP302_seven-hundred-nineteen_9x16_short1_web.mp4", "cover_cropped": "/assets/media/reels/ep302/EP302_seven-hundred-nineteen_9x16_short1_cover.jpg" }, { "n": 2, "file": "/assets/media/reels/ep302/vertical/EP302_seven-hundred-nineteen_9x16_short2_web.mp4", "cover": "/assets/media/reels/ep302/vertical/EP302_seven-hundred-nineteen_9x16_short2_cover.jpg", "story": "Three came down: 719, and 300 checked by computer", "caption": "Seven Hundred Nineteen | EP 302\n\nAn AI wrote seven hundred papers in a day, then took three back.\n\nThe next day three papers came down over one sign error, and fourteen got fixed, in public. On air it was 722 solutions; the record says 719 manuscripts. About 300 come with a proof a computer has checked.\n\nStart with the 300.\n\nSources: github.com/openai/math history.md (2026-10-07)\n#aikidotheAI #math #virtualcell\nNarration synthetic. Imagery generated. Founder: real.", "post_day": 3, "duration_s": 34.833, "lines": [ "04", "05", "06" ], "master": "films/kg/ep302/vertical/EP302_seven-hundred-nineteen_9x16_short2.mp4", "file_cropped": "/assets/media/reels/ep302/EP302_seven-hundred-nineteen_9x16_short2_web.mp4", "cover_cropped": "/assets/media/reels/ep302/EP302_seven-hundred-nineteen_9x16_short2_cover.jpg" }, { "n": 3, "file": "/assets/media/reels/ep302/vertical/EP302_seven-hundred-nineteen_9x16_short3_web.mp4", "cover": "/assets/media/reels/ep302/vertical/EP302_seven-hundred-nineteen_9x16_short3_cover.jpg", "story": "A virtual cell, $1.8 billion", "caption": "Seven Hundred Nineteen | EP 302\n\nAn AI wrote seven hundred papers in a day, then took three back.\n\nSame week, Biohub and partners put $1.8 billion into open data for a virtual cell: software that predicts how a living cell will behave. About five dollars for every American.\n\nPicture testing a new drug on a model of your own cells, before you take a pill.\n\nSources: biohub.org, virtual biology initiative (2026-10-07)\n#aikidotheAI #math #virtualcell\nNarration synthetic. Imagery generated. Founder: real.", "post_day": 4, "duration_s": 32.375, "lines": [ "08", "10", "11" ], "master": "films/kg/ep302/vertical/EP302_seven-hundred-nineteen_9x16_short3.mp4", "file_cropped": "/assets/media/reels/ep302/EP302_seven-hundred-nineteen_9x16_short3_web.mp4", "cover_cropped": "/assets/media/reels/ep302/EP302_seven-hundred-nineteen_9x16_short3_cover.jpg" } ], "vertical": "/assets/media/reels/ep302/vertical/EP302_seven-hundred-nineteen_9x16_full_web.mp4", "vertical_set": { "date": "2026-10-20", "note": "Native 9:16, designed for the phone per shot (vertical grammar, L238), not cropped from the 16:9.", "full": { "file": "/assets/media/reels/ep302/vertical/EP302_seven-hundred-nineteen_9x16_full_web.mp4", "cover": "/assets/media/reels/ep302/vertical/EP302_seven-hundred-nineteen_9x16_full_cover.jpg", "duration_s": 86.333, "master": "films/kg/ep302/vertical/EP302_seven-hundred-nineteen_9x16_full.mp4" }, "hooks": { "A": { "file": "/assets/media/reels/ep302/vertical/EP302_seven-hundred-nineteen_9x16_hookA_web.mp4", "cover": "/assets/media/reels/ep302/vertical/EP302_seven-hundred-nineteen_9x16_hookA_cover.jpg", "duration_s": 82.667, "master": "films/kg/ep302/vertical/EP302_seven-hundred-nineteen_9x16_hookA.mp4" }, "B": { "file": "/assets/media/reels/ep302/vertical/EP302_seven-hundred-nineteen_9x16_hookB_web.mp4", "cover": "/assets/media/reels/ep302/vertical/EP302_seven-hundred-nineteen_9x16_hookB_cover.jpg", "duration_s": 84.333, "master": "films/kg/ep302/vertical/EP302_seven-hundred-nineteen_9x16_hookB.mp4" }, "C": { "file": "/assets/media/reels/ep302/vertical/EP302_seven-hundred-nineteen_9x16_hookC_web.mp4", "cover": "/assets/media/reels/ep302/vertical/EP302_seven-hundred-nineteen_9x16_hookC_cover.jpg", "duration_s": 80.917, "master": "films/kg/ep302/vertical/EP302_seven-hundred-nineteen_9x16_hookC.mp4" }, "D": { "file": "/assets/media/reels/ep302/vertical/EP302_seven-hundred-nineteen_9x16_hookD_web.mp4", "cover": "/assets/media/reels/ep302/vertical/EP302_seven-hundred-nineteen_9x16_hookD_cover.jpg", "duration_s": 82.0, "master": "films/kg/ep302/vertical/EP302_seven-hundred-nineteen_9x16_hookD.mp4" } }, "cut30": { "file": "/assets/media/reels/ep302/vertical/EP302_seven-hundred-nineteen_9x16_30s_web.mp4", "cover": "/assets/media/reels/ep302/vertical/EP302_seven-hundred-nineteen_9x16_30s_cover.jpg", "duration_s": 26.792, "master": "films/kg/ep302/vertical/EP302_seven-hundred-nineteen_9x16_30s.mp4" }, "edl": "/assets/media/reels/ep302/vertical/edl_EP302_v3_9x16.json" }, "vertical_mp4_cropped": "/assets/media/reels/ep302/EP302_seven-hundred-nineteen_9x16_hookB_web.mp4" }, { "slug": "ep301-sixteen-million-tokens", "number": "EP 301", "title": "Sixteen Million Tokens", "kicker": "Moonshots EP 301 · Narration synthetic · Imagery generated · Founder: real · Five kinds of statement, every one stamped", "source": "Moonshots EP 301 (2026-10-07) · arXiv:2610.06783 · Gajentaan and Overmars (1995)", "released": "2026-10-20", "runtime": "1:44", "runtime_seconds": 104, "youtube_id": null, "watch_url": "/films/ep301-sixteen-million-tokens/", "long_mp4": "/assets/media/reels/ep301/EP301_sixteen-million-tokens_16x9_web.mp4", "vertical_mp4": "/assets/media/reels/ep301/vertical/EP301_sixteen-million-tokens_9x16_hookB_web.mp4", "poster": "/assets/posters/ep301-sixteen-million-tokens.jpg", "thesis": "A machine got through a thirty-year-old wall in computer science on its own: sixteen million tokens, no human input, a hair faster than anyone thought 3SUM could go. A hundred and four seconds on what that opens, with the founder at the front and back, every statement stamped, and the whole episode in the ticker.", "closing_thought": "Discoveries are getting cheap. Good data is the scarce thing. We grow it.", "chapters": [ { "id": "EP301", "n": 1, "title": "Sixteen Million Tokens", "runtime": "1:44", "runtime_seconds": 104, "mp4": "/assets/media/reels/ep301/EP301_sixteen-million-tokens_16x9_web.mp4", "poster": "/assets/posters/ep301-sixteen-million-tokens.jpg", "line": "Math is cooked as a field. Best news I've heard all week.", "lede": "A machine got through a thirty-year-old wall in computer science on its own: sixteen million tokens, no human input, a hair faster than anyone thought 3SUM could go. A hundred and four seconds on what that opens, with the founder at the front and back, every statement stamped, and the whole episode in the ticker.", "marks": [ [ "00:00", "The founder's open" ], [ "00:06", "A thirty-year wall" ], [ "00:15", "What 3SUM is" ], [ "00:25", "Claude found something nobody asked for" ], [ "00:41", "n to the 1.9992, a hair" ], [ "00:59", "The correction: 1.9992, not 1.9995" ], [ "01:06", "What we'd do with it" ], [ "01:29", "The founder's close" ] ] } ], "receipts": [], "symbol": "Sm", "push": false, "cell_number": "301", "credit": "The Knowledge Gardens × Moonshots Podcast", "series": { "planned": 1, "released": 1, "note": "" }, "ledger": "/assets/media/reels/ep301/ep301_ledger.json", "edl": "/assets/media/reels/ep301/edl_EP301_v3_16x9.json", "shorts": [ { "n": 1, "file": "/assets/media/reels/ep301/vertical/EP301_sixteen-million-tokens_9x16_short1_web.mp4", "cover": "/assets/media/reels/ep301/vertical/EP301_sixteen-million-tokens_9x16_short1_cover.jpg", "story": "The 3SUM find", "caption": "Sixteen Million Tokens | EP 301\n\nMath is cooked as a field. Best news I've heard all week.\n\nFor about thirty years computer science leaned on one wall: 3SUM (take some numbers, find three that add to zero) can't really beat n squared. On October 5 a machine found a way through.\n\nGot a problem everyone calls impossible? Point a machine at it this week.\n\nSources: arXiv:2610.06783 (2026-10-05) · Gajentaan and Overmars, Computational Geometry (1995)\n#aikidotheAI #math #computerscience\nNarration synthetic. Imagery generated. Founder: real.", "post_day": 2, "duration_s": 33.708, "lines": [ "01", "02", "03" ], "master": "films/kg/ep301/vertical/EP301_sixteen-million-tokens_9x16_short1.mp4", "file_cropped": "/assets/media/reels/ep301/EP301_sixteen-million-tokens_9x16_short1_web.mp4", "cover_cropped": "/assets/media/reels/ep301/EP301_sixteen-million-tokens_9x16_short1_cover.jpg" }, { "n": 2, "file": "/assets/media/reels/ep301/vertical/EP301_sixteen-million-tokens_9x16_short2_web.mp4", "cover": "/assets/media/reels/ep301/vertical/EP301_sixteen-million-tokens_9x16_short2_cover.jpg", "story": "Sixteen million tokens", "caption": "Sixteen Million Tokens | EP 301\n\nMath is cooked as a field. Best news I've heard all week.\n\nClaude, Anthropic's AI, was on a cryptography problem and found something nobody asked for: a faster way through 3SUM. Sixteen million tokens, no human input. At a fast clip that's most of a workday.\n\nWhat would you hand a machine for a whole day?\n\nSources: arXiv:2610.06783, page 1 (2026-10-05) · the workday is our arithmetic: 16M tokens at 750 a second is about 5.9 hours\n#aikidotheAI #math #computerscience\nNarration synthetic. Imagery generated. Founder: real.", "post_day": 3, "duration_s": 34.917, "lines": [ "05", "06", "07" ], "master": "films/kg/ep301/vertical/EP301_sixteen-million-tokens_9x16_short2.mp4", "file_cropped": "/assets/media/reels/ep301/EP301_sixteen-million-tokens_9x16_short2_web.mp4", "cover_cropped": "/assets/media/reels/ep301/EP301_sixteen-million-tokens_9x16_short2_cover.jpg" }, { "n": 3, "file": "/assets/media/reels/ep301/vertical/EP301_sixteen-million-tokens_9x16_short3_web.mp4", "cover": "/assets/media/reels/ep301/vertical/EP301_sixteen-million-tokens_9x16_short3_cover.jpg", "story": "The correction: 1.9995 on air, 1.9992 in the paper", "caption": "Sixteen Million Tokens | EP 301\n\nMath is cooked as a field. Best news I've heard all week.\n\nWhat the machine found runs in n to the 1.9992. On the podcast it was 1.9995; the paper says 1.9992. Two meters, less than a millimeter shorter. A hair, through a wall that said not even a hair.\n\nIf your work rests on an impossible bound, look again this week.\n\nSources: arXiv:2610.06783 p.1 (2026-10-05) · Moonshots EP #301 (2026-10-07)\n#aikidotheAI #math #computerscience\nNarration synthetic. Imagery generated. Founder: real.", "post_day": 4, "duration_s": 30.875, "lines": [ "08", "12" ], "master": "films/kg/ep301/vertical/EP301_sixteen-million-tokens_9x16_short3.mp4", "file_cropped": "/assets/media/reels/ep301/EP301_sixteen-million-tokens_9x16_short3_web.mp4", "cover_cropped": "/assets/media/reels/ep301/EP301_sixteen-million-tokens_9x16_short3_cover.jpg" } ], "vertical": "/assets/media/reels/ep301/vertical/EP301_sixteen-million-tokens_9x16_full_web.mp4", "vertical_set": { "date": "2026-10-20", "note": "Native 9:16, designed for the phone per shot (vertical grammar, L238), not cropped from the 16:9.", "full": { "file": "/assets/media/reels/ep301/vertical/EP301_sixteen-million-tokens_9x16_full_web.mp4", "cover": "/assets/media/reels/ep301/vertical/EP301_sixteen-million-tokens_9x16_full_cover.jpg", "duration_s": 104.458, "master": "films/kg/ep301/vertical/EP301_sixteen-million-tokens_9x16_full.mp4" }, "hooks": { "A": { "file": "/assets/media/reels/ep301/vertical/EP301_sixteen-million-tokens_9x16_hookA_web.mp4", "cover": "/assets/media/reels/ep301/vertical/EP301_sixteen-million-tokens_9x16_hookA_cover.jpg", "duration_s": 104.167, "master": "films/kg/ep301/vertical/EP301_sixteen-million-tokens_9x16_hookA.mp4" }, "B": { "file": "/assets/media/reels/ep301/vertical/EP301_sixteen-million-tokens_9x16_hookB_web.mp4", "cover": "/assets/media/reels/ep301/vertical/EP301_sixteen-million-tokens_9x16_hookB_cover.jpg", "duration_s": 102.458, "master": "films/kg/ep301/vertical/EP301_sixteen-million-tokens_9x16_hookB.mp4" }, "C": { "file": "/assets/media/reels/ep301/vertical/EP301_sixteen-million-tokens_9x16_hookC_web.mp4", "cover": "/assets/media/reels/ep301/vertical/EP301_sixteen-million-tokens_9x16_hookC_cover.jpg", "duration_s": 102.167, "master": "films/kg/ep301/vertical/EP301_sixteen-million-tokens_9x16_hookC.mp4" }, "D": { "file": "/assets/media/reels/ep301/vertical/EP301_sixteen-million-tokens_9x16_hookD_web.mp4", "cover": "/assets/media/reels/ep301/vertical/EP301_sixteen-million-tokens_9x16_hookD_cover.jpg", "duration_s": 102.458, "master": "films/kg/ep301/vertical/EP301_sixteen-million-tokens_9x16_hookD.mp4" } }, "cut30": { "file": "/assets/media/reels/ep301/vertical/EP301_sixteen-million-tokens_9x16_30s_web.mp4", "cover": "/assets/media/reels/ep301/vertical/EP301_sixteen-million-tokens_9x16_30s_cover.jpg", "duration_s": 28.583, "master": "films/kg/ep301/vertical/EP301_sixteen-million-tokens_9x16_30s.mp4" }, "edl": "/assets/media/reels/ep301/vertical/edl_EP301_v3_9x16.json" }, "vertical_mp4_cropped": "/assets/media/reels/ep301/EP301_sixteen-million-tokens_9x16_hookB_web.mp4" }, { "slug": "where-good-data-comes-from", "number": "KG FILM", "title": "Where good data comes from", "kicker": "The Knowledge Gardens · the thesis film · Narration synthetic, interim · Imagery generated · Claims sourced", "source": "The Knowledge Gardens · the founder's thesis", "released": "2026-10-13", "runtime": "2:20", "runtime_seconds": 137, "youtube_id": null, "watch_url": "/#latest", "long_mp4": "/assets/media/kg/where-good-data-comes-from_v2.mp4", "poster": "/assets/posters/where-good-data-comes-from_v2.jpg", "thesis": "Good data is the scarce thing. The Knowledge Gardens grow it: living databases that people and machines build and use together. Two minutes on how a garden grows, the five layers, and why data goes stale and gardens don't.", "closing_thought": "Data goes stale. Gardens don't.", "chapters": [ { "id": "KG1", "n": 1, "title": "Where good data comes from", "runtime": "2:20", "runtime_seconds": 137, "mp4": "/assets/media/kg/where-good-data-comes-from_v2.mp4", "poster": "/assets/posters/where-good-data-comes-from_v2.jpg", "line": "Good data is the scarce thing.", "lede": "Good data is the scarce thing. The Knowledge Gardens grow it: living databases that people and machines build and use together. Two minutes on how a garden grows, the five layers, and why data goes stale and gardens don't." } ], "receipts": [], "symbol": "Gd", "push": false, "cell_number": "KG", "series": "The Knowledge Gardens", "date": null }, { "slug": "founder-film", "number": "KG FILM", "title": "Seed to City", "kicker": "The Knowledge Gardens · the founder film · Narration synthetic, interim · Imagery generated, labeled · Screens show demo data", "source": "The Knowledge Gardens · the founder film", "released": "2026-10-13", "runtime": "1:25", "runtime_seconds": 85, "youtube_id": null, "watch_url": "/#latest", "long_mp4": "/assets/media/founder/founder-film_v01.mp4", "vertical_mp4": "/assets/media/founder/founder-film_v01_9x16_30s.mp4", "poster": "/assets/posters/founder-film_v01.jpg", "thesis": "Every journey starts with a choice under pressure. A contractor at five in the morning opens The Record, and the five layers under it come into view: Dream, Market, The Record, The Work, The Machines. Eighty seconds on what a person can do today, how the data grows from doing it, and why data goes stale and gardens don't.", "closing_thought": "Data goes stale. Gardens don't.", "chapters": [ { "id": "KGF", "n": 1, "title": "Seed to City", "runtime": "1:25", "runtime_seconds": 85, "mp4": "/assets/media/founder/founder-film_v01.mp4", "poster": "/assets/posters/founder-film_v01.jpg", "line": "Every journey starts with a choice under pressure.", "lede": "Every journey starts with a choice under pressure. A contractor at five in the morning opens The Record, and the five layers under it come into view: Dream, Market, The Record, The Work, The Machines. Eighty seconds on what a person can do today, how the data grows from doing it, and why data goes stale and gardens don't." } ], "receipts": [], "symbol": "Sc", "push": false, "cell_number": "KG", "series": "The Knowledge Gardens" }, { "slug": "what-just-changed", "number": "FILM 07", "title": "What Just Changed", "kicker": "Seven short films about what just changed · after Moonshots EP 287 & 288 · six released, one in the cutting room", "source": "Moonshots EP 287 & EP 288 (Sep 2026) × the founder's exposition", "released": "2026-09-16", "runtime": "17:12", "runtime_seconds": 1032, "youtube_id": null, "watch_url": "/films/what-just-changed/", "long_mp4": "/assets/media/film07/F1_three-words_v6.mp4", "poster": "/assets/posters/what-just-changed.jpg", "thesis": "For people not yet in the know: the week AGI was declared, the maths result the headlines got wrong, what happens when thinking gets a price tag, and the first robot most people will own. Every number on screen carries its source and a stamp saying what kind of claim it is, plus an AI lab's forecast of its own economy and the public argument over slowing down.", "closing_thought": "Labels belong to the people selling them. The pace is measurable, and the pace is the thing to build around.", "chapters": [ { "id": "F1", "n": 1, "title": "Three Words", "runtime": "3:09", "runtime_seconds": 189, "mp4": "/assets/media/film07/F1_three-words_v6.mp4", "poster": "/assets/posters/film07-f1-v6.jpg", "line": "The three words: artificial general intelligence.", "lede": "In September the man whose company makes the chips nearly every AI runs on posted three words — a congratulation to a customer, not a product launch. Fourteen definitions of AGI say the term is a fight, not a finding, so this film puts the word down and picks up the numbers: one training run on more than a hundred thousand chips, research programmes putting in about three days of effort for every human day, and the part that is hard to unhear — they are using it to build the next one.", "marks": [ [ "00:00", "Three words" ], [ "00:07", "The man who makes the chips" ], [ "00:29", "The machines that build machines" ], [ "00:44", "What the words actually mean" ], [ "01:02", "A hundred thousand chips, one training run" ], [ "01:30", "They're using it to build the next one" ], [ "01:44", "The deciding is inside the loop" ], [ "02:10", "The one thing that isn't a guess" ], [ "02:24", "The house position" ], [ "02:34", "Where the pace lands next" ], [ "02:53", "Three words: artificial general intelligence" ] ], "receipts": [ "wire-021", "wire-022" ], "youtube_published": "2026-09-16", "youtube_id_old_bookends": "an8xYwRAI7s", "youtube_vertical_id_old_bookends": "hAMNmDOb1Gg" }, { "id": "F2", "n": 2, "title": "Ten Thousand Researchers on a Tuesday Afternoon", "runtime": "2:54", "runtime_seconds": 174, "mp4": "/assets/media/film07/F2_ten-thousand-researchers_v6.mp4", "poster": "/assets/posters/film07-f2-v6.jpg", "line": "The result: forced case, prize declined.", "lede": "Stir a cup of coffee and watch the milk. Nobody can predict that — provably. This month a swarm of about ten thousand AI programmes worked for roughly four days on the hardest version of the 170-year-old equations anyone had handed them, and found an answer that holds. Be precise about what they solved, because the headlines were not: the forced case, not the free-flowing one the million-dollar prize is written for. The team said so themselves and declined the prize. Then why it still changes everything: a test that cost about $500,000 of compute to pass last year costs about $20 today.", "marks": [ [ "00:00", "Ten thousand researchers on a Tuesday afternoon" ], [ "00:07", "Stir a cup of coffee" ], [ "00:22", "The million-dollar prize" ], [ "00:35", "The swarm" ], [ "00:49", "Be precise about what they solved" ], [ "01:01", "They declined the prize" ], [ "01:15", "Science used to scale with scientists" ], [ "01:32", "$500,000 → $20" ], [ "01:48", "Nine billion letters of DNA" ], [ "02:13", "The bottleneck came off" ], [ "02:32", "Ask it" ], [ "02:38", "The result: forced case, prize declined" ] ], "receipts": [ "wire-019", "wire-020" ] }, { "id": "F3", "n": 3, "title": "Airline Miles for Thinking", "runtime": "2:45", "runtime_seconds": 165, "mp4": "/assets/media/film07/F3_airline-miles-for-thinking_v6.mp4", "poster": "/assets/posters/film07-f3-v6.jpg", "line": "The price: thinking got too cheap to meter.", "lede": "In China this year a bank started handing out artificial intelligence as a credit-card reward. The phone company sells it like a data plan, 142 models on the menu; South Korea said everyone gets access, as infrastructure. Nobody knew what a kilowatt-hour was either, until it showed up on a bill and the price started falling. Then the turn: six years of progress, examined, say better material beat better model design by about three to one — so the expensive part is no longer the machine. It is what you put in it, and the only material nobody else has is yours.", "marks": [ [ "00:00", "Airline miles for thinking" ], [ "00:07", "A bank gives away AI" ], [ "00:34", "What a token actually is" ], [ "00:47", "Why this price falls differently" ], [ "00:59", "Cut off from the chips" ], [ "01:15", "The constraint is why they found it" ], [ "01:35", "Better material beat better models" ], [ "01:54", "The only material nobody else has" ], [ "02:05", "Ground truth is the scarce thing" ], [ "02:15", "Take the free tokens" ], [ "02:29", "The price: thinking got too cheap to meter" ] ], "receipts": [ "wire-025", "wire-026", "wire-028", "wire-027" ] }, { "id": "F4", "n": 4, "title": "A Car That Works for You While You Sleep", "runtime": "2:36", "runtime_seconds": 156, "mp4": "/assets/media/film07/F4_a-car-that-works_v6.mp4", "poster": "/assets/posters/film07-f4-v6.jpg", "line": "The shift: the machine works the night shift.", "lede": "A week after driverless taxis started carrying people in Austin, a form went up — not a waiting list to ride one, a form to buy them and put them to work. There is no price on it yet, and a form is not a product; but the form is the news. Underneath it sits a bigger number: about 830 million people on Earth are over sixty-five today, heading toward 1.7 billion by mid-century, with fewer children born almost everywhere. Two ways out of that arrived at the same time — machines that do the work we are running out of people to do, and medicine that keeps people well enough to keep contributing.", "marks": [ [ "00:00", "A car that works for you while you sleep" ], [ "00:07", "A form went up" ], [ "00:31", "No price yet. Only the form." ], [ "00:51", "The part underneath it" ], [ "00:54", "830 million, going to 1.7 billion" ], [ "01:17", "Two ways out, arriving at once" ], [ "01:37", "Longevity as economic policy" ], [ "01:48", "The taxi is here. The robot isn't." ], [ "02:00", "A hundred and fifty thousand a day" ], [ "02:20", "The shift: the machine works the night shift" ] ], "receipts": [ "wire-024", "wire-023" ] }, { "id": "F5", "n": 5, "title": "The Pie Gets Enormous", "runtime": "2:54", "runtime_seconds": 174, "mp4": "/assets/media/film07/F5_the-pie-gets-enormous_v7.mp4", "poster": "/assets/posters/film07-f5-v7.jpg", "line": "The company's own extreme case: +32.4% growth a year, 17.9% of knowledge workers out of work.", "lede": "An AI company published a forecast of its own economy. Its extreme case: 32.4% growth a year and 17.9% of knowledge workers out of work. The film sets that beside what is measured today, the Atlanta Fed's 4.7% print and 639,000 new kinds of role, and stamps every claim with what kind of knowledge it is.", "marks": [ [ "00:00", "Every claim says what kind of knowledge it is" ], [ "00:10", "A forecast of its own economy" ], [ "00:20", "The company's own extreme case" ], [ "00:32", "The pie gets enormous" ], [ "00:44", "And the slicing stops working" ], [ "01:04", "Measured, not forecast" ], [ "01:23", "639,000 roles · half a trillion, an estimate" ], [ "01:47", "The turkey before Thanksgiving" ], [ "01:55", "Catch people in the gap" ], [ "02:26", "100,000 employees, pointed at what?" ], [ "02:41", "What would you point them at?" ] ], "receipts": [] }, { "id": "F6", "n": 6, "title": "Should We Slow Down?", "runtime": "2:54", "runtime_seconds": 174, "mp4": "/assets/media/film07/F6_should-we-slow-down_v4.mp4", "poster": "/assets/posters/film07-f6-v4.jpg", "line": "Steering, not stopping, and a correction the headlines missed.", "lede": "Five days in September when the AI labs argued in public about slowing down: an essay called An Alien Mind, a resignation read 90 million times, an incident on an abandoned wiki and its correction. Every claim stamped, including the one the headlines got wrong.", "marks": [ [ "00:00", "Every claim says what kind of knowledge it is" ], [ "00:10", "Five days in September" ], [ "00:21", "Grown, not designed" ], [ "00:36", "Read 90 million times" ], [ "00:49", "Steering, not stopping" ], [ "00:56", "Nudge it, years out" ], [ "01:17", "The incident, as Reuters reported it" ], [ "01:29", "The correction" ], [ "01:38", "6 GB, an estimate" ], [ "01:48", "H.R. 9917, in committee" ], [ "02:03", "Petrov Day" ], [ "02:17", "Judgment, not speed" ] ], "receipts": [] } ], "receipts": [ "wire-019", "wire-023", "wire-020" ], "symbol": "Wj", "push": true, "cell_number": "07", "credit": "The Knowledge Gardens × Moonshots Podcast", "series": { "planned": 7, "released": 4, "note": "Films 5–7 are in the cutting room; Film 5's voice-over is aligned." }, "songs": [ { "id": "outlier", "title": "Outlier", "from": "F1", "kicker": "The song from Film 1 · Three Words", "runtime": "2:20", "runtime_seconds": 140, "mv_mp4": "/assets/media/film07/MV_Outlier_v6.mp4", "poster": "/assets/posters/mv-outlier-v6.jpg", "line": "Three words went up. Then everyone had lunch.", "spotify_url": null, "youtube_id": null, "released": "2026-09-18" }, { "id": "stir", "title": "Stir", "from": "F2", "kicker": "The song from Film 2 · Ten Thousand Researchers on a Tuesday Afternoon", "runtime": "3:02", "runtime_seconds": 182, "mv_mp4": "/assets/media/film07/MV_Stir_v6.mp4", "poster": "/assets/posters/mv-stir-v6.jpg", "line": "Watch the whole scene turn.", "spotify_url": null, "youtube_id": null, "released": "2026-09-16" }, { "id": "tokens", "title": "Tokens", "from": "F3", "kicker": "The song from Film 3 · Airline Miles for Thinking", "runtime": "2:30", "runtime_seconds": 150, "mv_mp4": "/assets/media/film07/MV_Tokens_v6.mp4", "poster": "/assets/posters/mv-tokens-v6.jpg", "line": "Small change, making big things count.", "spotify_url": null, "youtube_id": null, "released": "2026-09-18" }, { "id": "night-shift", "title": "Night Shift", "from": "F4", "kicker": "The song from Film 4 · A Car That Works", "runtime": "2:05", "runtime_seconds": 125, "mv_mp4": "/assets/media/film07/MV_NightShift_v6.mp4", "poster": "/assets/posters/mv-night-shift-v6.jpg", "line": "Bring the morning home.", "spotify_url": null, "youtube_id": null, "released": "2026-09-18" }, { "id": "bigger-than-the-table", "title": "Bigger Than The Table", "from": "F5", "kicker": "The song for Film 5 · The Pie · film in the cutting room", "runtime": "2:15", "runtime_seconds": 135, "mv_mp4": "/assets/media/film07/MV_BiggerThanTheTable_v6.mp4", "poster": "/assets/posters/mv-bigger-than-the-table-v6.jpg", "line": "Built in the quiet while everybody waited.", "spotify_url": null, "youtube_id": null, "released": "2026-09-18" }, { "id": "the-body-knows", "title": "The Body Knows", "from": "F6", "kicker": "The song for Film 6 · Should We Slow Down · film in the cutting room", "runtime": "2:14", "runtime_seconds": 134, "mv_mp4": "/assets/media/film07/MV_TheBodyKnows_v6.mp4", "poster": "/assets/posters/mv-the-body-knows-v6.jpg", "line": "The body knows before the story does.", "spotify_url": null, "youtube_id": null, "released": "2026-09-18" }, { "id": "storyline", "title": "Storyline", "from": "F7", "kicker": "The song for Film 7 · Five Films on a Stage · film in the cutting room", "runtime": "1:47", "runtime_seconds": 107, "mv_mp4": "/assets/media/film07/MV_Storyline_v6.mp4", "poster": "/assets/posters/mv-storyline-v6.jpg", "line": "Pick one worth building. The room is still listening.", "spotify_url": null, "youtube_id": null, "released": "2026-09-18" } ] }, { "slug": "film06", "number": "FILM 06", "title": "I Want The Bites", "kicker": "A news report from The Knowledge Gardens · after Moonshots EP 286", "source": "Moonshots EP 286 (5 Sep 2026)", "released": "2026-09-08", "runtime": "3:26", "runtime_seconds": 206, "youtube_id": "Avw4GBCcu8Y", "watch_url": "https://youtu.be/Avw4GBCcu8Y", "poster": "/assets/posters/film06.jpg", "thesis": "Six stories from one week of AI news, each checked against a primary source before it reached the screen.", "closing_thought": "I want it real. Say who checked it.", "chapters": [ { "id": "CHECK", "title": "The Check", "youtube_id": "2lXCuBcN9EY", "runtime": "2:09", "line": "Checking is its own kind of first." }, { "id": "RIVER", "title": "The River of Gold", "youtube_id": "z-PR1C4LeqE", "runtime": "2:09", "line": "The price is a promise. The ride is real." }, { "id": "SCOREBOARDS", "title": "Two Scoreboards", "youtube_id": "o3hXU4rMs1k", "runtime": "2:09", "line": "When the scoreboards disagree, read the fine print." }, { "id": "LABEL", "title": "The Critical Label", "youtube_id": "k1YSWu_5FWk", "runtime": "2:09", "line": "They wrote the warning label themselves. Read it." }, { "id": "BAN", "title": "Ban It or Bless It", "youtube_id": "roy0Jf3pt3E", "runtime": "2:09", "line": "You can ban a company. You can't ban arithmetic." }, { "id": "SPRING", "title": "One More Spring", "youtube_id": "3LcXoTGk768", "runtime": "2:09", "line": "One more spring is a real number. Say who checked it." } ], "receipts": [ "wire-007", "wire-001", "wire-004" ], "symbol": "Iw", "push": false, "cell_number": "06" }, { "slug": "film05", "number": "FILM 05", "title": "Wiggle Your Toes", "kicker": "Be, Do, Have · after Moonshots EP 285", "source": "Moonshots EP 285 × a manifestation meditation", "released": "2026-09-04", "runtime": "4:10", "runtime_seconds": 250, "youtube_id": "Xodg3fgtx_c", "watch_url": "https://youtu.be/Xodg3fgtx_c", "long_mp4": "https://vlezoyalutexenbnzzui.supabase.co/storage/v1/object/public/brand-assets/studio/rdkg-vault/film05-be-do-have/v4/10_deliver/FILM05_LONG_16x9_vo_yt.mp4", "poster": "/assets/posters/film05.jpg", "thesis": "Four one-story films on what a week of announcements makes possible for an ordinary person — told as be, do, have.", "closing_thought": "Who holds the dial.", "chapters": [ { "id": "DIAL", "title": "Who Holds the Dial", "youtube_id": "Xodg3fgtx_c", "runtime": "1:40" }, { "id": "STEP", "title": "The Unglamorous Step", "youtube_id": "MD25PpSJWNs", "runtime": "1:40" }, { "id": "GIFT", "title": "A Gift to Humans Not Yet Born", "youtube_id": "2Zzj69bor0w", "runtime": "1:40" }, { "id": "RECEIPTS", "title": "The Receipts", "youtube_id": "UjZ_qqld7aQ", "runtime": "1:40" } ], "receipts": [], "symbol": "Wy", "push": false, "cell_number": "05" }, { "slug": "the-receipt", "number": "SPECIAL", "title": "The Receipt", "kicker": "A film in eight scenes · from The Knowledge Gardens' own research", "source": "The Grounding Protocol research (Sep 2026)", "released": "2026-09-03", "runtime": "2:00", "runtime_seconds": 120, "youtube_id": null, "watch_url": "/grounding/", "long_mp4": "/films/the-receipt/the-receipt_16x9.mp4", "poster": "/assets/posters/the-receipt.jpg", "thesis": "Humans and machines fail at the same point: the claim crosses the wire and the grounds for believing it do not.", "closing_thought": "Every claim with a receipt.", "chapters": [], "receipts": [ "wire-017", "wire-018" ], "symbol": "Rc", "push": true, "cell_number": "SP" }, { "slug": "both-hands", "number": "FILM 04", "title": "Both Hands", "kicker": "We fact-checked a week of AI news. Thirteen corrections stayed in.", "source": "One week of AI news, late August 2026", "released": "2026-08-30", "runtime": "5:47", "runtime_seconds": 347, "youtube_id": "IPgNsT3GLwQ", "watch_url": "https://youtu.be/IPgNsT3GLwQ", "poster": "/assets/posters/both-hands.jpg", "thesis": "They told you it was happening to you. Look again: it is happening for you — if you give with one hand and receive with the other.", "closing_thought": "Both hands.", "chapters": [], "receipts": [ "wire-013", "wire-014", "wire-015", "wire-016" ], "symbol": "Bh", "push": true, "cell_number": "04" }, { "slug": "wcbse", "number": "FILM 03", "title": "We Could Be Solving Everything", "kicker": "Eighty-two claims from one episode, every one tagged · after Moonshots EP 283", "source": "Moonshots EP 283 × an abundance meditation", "released": "2026-08-30", "runtime": "4:00", "runtime_seconds": 240, "youtube_id": "-Y7ERO2R_7Q", "watch_url": "https://youtu.be/-Y7ERO2R_7Q", "poster": "/assets/posters/wcbse.jpg", "thesis": "A look back from after it worked: they told you there wasn't enough. Remember how slow it was.", "closing_thought": "And it is done.", "chapters": [], "receipts": [], "symbol": "Se", "push": true, "cell_number": "03" }, { "slug": "the-interruptible", "number": "FILM 02", "title": "The Interruptible", "kicker": "After Moonshots EP 278, 280 and 282", "source": "Three Moonshots episodes × a meditation on the current", "released": "2026-08-28", "runtime": "1:46", "runtime_seconds": 106, "youtube_id": "LWL3KgkyEUU", "watch_url": "https://youtu.be/LWL3KgkyEUU", "long_mp4": "https://vlezoyalutexenbnzzui.supabase.co/storage/v1/object/public/brand-assets/studio/rdkg-vault/the-current/08_films-v3/THE_INTERRUPTIBLE_v3_16x9_review.mp4", "poster": "/assets/posters/the-interruptible.jpg", "thesis": "A data center that agrees to be switched off gets built first. Being interruptible is how you never get cut off.", "closing_thought": "I'm interruptible — so I never get cut off.", "chapters": [], "receipts": [], "symbol": "In", "push": false, "cell_number": "02" }, { "slug": "two-hunters", "number": "FILM 01", "title": "Two Hunters", "kicker": "After Moonshots EP 281", "source": "Moonshots EP 281 × the Summit Ave meditation", "released": "2026-08-19", "runtime": "4:00", "runtime_seconds": 240, "youtube_id": "ZK_2yFqDcHA", "watch_url": "https://youtu.be/ZK_2yFqDcHA", "poster": "/assets/posters/two-hunters.jpg", "thesis": "Alone, a hunter gets the rabbit. Together, two hunters get the big one home. The AI race is a fear of not knowing, wearing a suit.", "closing_thought": "Trust in the unfolding.", "chapters": [], "receipts": [], "symbol": "Th", "push": true, "cell_number": "01" } ], "latest": { "slug": "where-good-data-comes-from", "number": "KG FILM", "title": "Where good data comes from", "kicker": "The Knowledge Gardens · the thesis film · Narration synthetic, interim · Imagery generated · Claims sourced", "source": "The Knowledge Gardens · the founder's thesis", "released": "2026-10-13", "runtime": "2:20", "runtime_seconds": 137, "youtube_id": null, "watch_url": "/#latest", "long_mp4": "/assets/media/kg/where-good-data-comes-from_v2.mp4", "poster": "/assets/posters/where-good-data-comes-from_v2.jpg", "thesis": "Good data is the scarce thing. The Knowledge Gardens grow it: living databases that people and machines build and use together. Two minutes on how a garden grows, the five layers, and why data goes stale and gardens don't.", "closing_thought": "Data goes stale. Gardens don't.", "chapters": [ { "id": "KG1", "n": 1, "title": "Where good data comes from", "runtime": "2:20", "runtime_seconds": 137, "mp4": "/assets/media/kg/where-good-data-comes-from_v2.mp4", "poster": "/assets/posters/where-good-data-comes-from_v2.jpg", "line": "Good data is the scarce thing.", "lede": "Good data is the scarce thing. The Knowledge Gardens grow it: living databases that people and machines build and use together. Two minutes on how a garden grows, the five layers, and why data goes stale and gardens don't." } ], "receipts": [], "symbol": "Gd", "push": false, "cell_number": "KG", "series": "The Knowledge Gardens", "date": null } }