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• AI music video pipeline (Suno + Seedance audio-sync): feed vocal-only stems or the model lip-syncs the instruments; fix drift with a dedicated lip-sync pass and edit to the track active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. R2 (Apr 2026): lyrics drafted with an LLM, song made in Suno v5.5 with a structured prompt (concept, voices, chorus/outro, BPM, language) and "exclude styles" used as a negative prompt. Characters: character sheets, then many photos per character (33, 41 and 57) to train a custom character model on the host platform. Lip-sync shots framed as close wide-angle (8 mm-style) singing-to-camera. Key failure: when the full mix is uploaded, Seedance lip-syncs instruments too, and it can alter or invent lyrics in the audio track; fix by exporting Suno stems (Pro tier) and uploading the vocal stem only, then running a separate lip-sync pass with the same vocal stem. Dance shots c...
• Seedance multi-shot practice from a heavy user: timeline prompts as shot lists, explicit rules for failure points, at most ~3 characters, draft at 480/720p, and edit across several generations active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Dankieft (Daan) on Seedance 2.0/2.5 via Higgsfield. Timeline prompting (R1): a scene header (subject, wardrobe, environment, mood, music, colour logic, style) followed by time-stamped shots works as a shot list - one 15 s generation can return ~10 shots, but over-detailed beats get skipped or rushed, so cut detail per beat; he drafts the prompt with an LLM using a reusable instruction file, then edits it ("Don't trust AI blindly"). When a detail fails twice, add an explicit rule (e.g. which card is chosen and who returns it) plus a negative prompt; add a "logic"/one-continuous-take instruction or the model invents camera cuts. Glitches rise above about three characters ...
• Media business literacy from an author channel: why "bestseller" is everywhere (list segmentation, print-run skew) and what a 2026 studio adaptation deal looked like from the IP holder's side active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. R4 (Sep 2026, 3.4M views - the channel's top in-window upload): the common claim that lists are easily gamed is mostly wrong (BookScan gives sales counts; NYT, USA Today and BookScan rank within a few places of each other). Real reasons "every book is a bestseller": many segmented lists (NYT splits YA/adult, formats, fiction/non-fiction, graphic novels; USA Today is unsegmented; Amazon sub-sub-category lists mean less); the frequency illusion; and above all print-run skew - a mega-seller run of ~400,000 copies vs ~10,000 lifetime hardcovers for a non-bestseller means most copies on shelves are bestsellers. Legit tactic: release in a low-competition month (February vs No...
• Youri's voice-generator review and beginner course: practical settings advice (punctuation/caps for emphasis, clean clone samples, image-first workflow) wrapped in affiliate rankings active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. R3 (Mar 2026) ranks WellSaid, Fish Audio, ElevenLabs and MiniMax on quality, emotional range, ease and price, then runs a full ElevenLabs tutorial via an affiliate link. Usable claims: naturalness comes from tone/speed, intentional pauses and emphasis; ElevenLabs instant clone takes "less than 10 seconds" while professional clone needs at least 30 minutes of clean audio; run noisy samples through Voice Isolation before cloning; voice design is for distinct voices not shared by everyone using the library; add punctuation, exclamation marks and capitalised words to steer emphasis. Prices stated (Fish Audio $5.50/month; ElevenLabs $5/$22/$99 tiers; WellSaid ~$50 up to $160...
• Same creator, two video-model shootouts six weeks apart, opposite verdicts on Gemini Omni Flash: test conditions (resolution cap, start-frame use, prompt specificity) decide rankings more than the models active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Two Higgsfield-hosted comparisons by Youri van Hofwegen. Aug 2026 (R2): five models at each model's MAX settings (Seedance 2.0 native 4K 15 s, Sora 2 Pro Max 12 s 1080p, Kling 3.0 4K, Happy Horse 1080p, Gemini) on a talking-head lip-sync test and a breakdance motion test, scored 1-10. Verdict: Seedance top on both; "Gemini is the real surprise" top-two while cheapest (30 credits vs Kling 90, Happy Horse 68, Sora 153, Seedance 330 - Seedance partly because of native 4K); Kling 3 lip sync "pretty bad" (5/10); Sora bottom. Sep 2026 (R1): four models BLIND-labelled A-D, all capped at 10 s, 16:9, 720p with audio "otherwise this becomes a test of which model has the biggest r...
• How a top AI-tools channel ranks video generators (Nov 2025-Jul 2026): same-prompt rounds, audio as a scoring factor, and "cost per second of usable video" rather than credits per generation active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Youri van Hofwegen's ranking format (condensed reads; videos use OpenArt or Higgsfield as the test host and link to them). Method: identical prompt across models per round (universal realism scene, multi-character fight, dialogue), audio quality counts in the score (poor audio drops a model even if visuals are good), and a final VALUE round. His key value rule: compare how much usable video each generation yields, not credits per generation - a cheaper call that returns a shorter clip can cost more per second (R1); in Jan 2026 he contrasted a top realism model costing ~3,000 OpenArt credits with a near-equal alternative at ~400 credits per 10 s (R3); in Nov 2025 he rate...
• "Face swap any video" tutorials and permanent digital personas: what the workflow enables and the consent/disclosure lines it crosses active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Youri van Hofwegen (2026-02-19, R4) demonstrates replacing his own face in recorded video with a generated person (Nano Banana Pro for the identity frame, then a video tool with lip sync), auto-captioning, and then making that synthetic person "perform" trending dances and scripted ads so a "permanent digital influencer" can work "for free". Assessment: swapping one's OWN performance onto a fictional face is legal in many places but still realistic synthetic media that platforms require to be disclosed (TikTok C3-B398-01; YouTube altered/synthetic disclosure), and EU AI Act Art. 50 may require visible deep-fake disclosure for professional/monetised use (C3-B426-01). Swa...
• Running synthetic "AI influencer" accounts (Feb-Jun 2026 creator practice): consistency methods, a local dashboard, and the disclosure obligations creators tend to skip active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Dan Kieft says he runs about five AI-influencer pages, some with millions of impressions a month, and built a free local dashboard that stores nine personas (each in a niche, e.g. a yoga instructor) and one-click generates character sheets, close-ups and "feature" sheets, then scenes for posting (R3). Consistency methods (R2): detailed prompts for skin texture and imperfections to avoid a plastic look; generate a background grid with the character as reference and upscale a chosen panel; edit with "keep the exact same person, face, skin texture, expression, pose, background, proportions and camera framing" and change only clothes or pose; pose transfer by giving two ref...
• A blind creator test (Jul 2026): Seedance 2.0 4K won most rounds, Grok Imagine best dialogue, Kling 3.0 "80% of the quality at a quarter of the cost" active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Dan Kieft (Higgsfield-sponsored, 2026-07-05). A teammate generated clips so he ranked them blind: Seedance 2.0 at 4K high bitrate, Kling 3.0 at 4K high bitrate, Grok Imagine at 720p, Google Omni at native 720p (upscalable). Tests: image-reference POV dialogue, text-to-video, motion control (Grok lacks it), editing (Omni expected to win; he ranked Seedance first, Omni second, Kling third), dialogue/lip sync (Grok first, Seedance second, Kling third), multi-reference (Seedance first). Overall Seedance took the most golds, but he notes it is among the most expensive; Kling 3.0 offers 4K and 60 fps cheaply - "80% of the quality with 1/4 of the cost" - and some shots were ea...
• Adapting stories across media: know which single story the film tells, avoid "telling" to cram plot, and broaden audience without losing core fans (Sanderson; Arcane's Christian Linke) active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. SanderFAQ (2026-03-26): his old rule "keep the soul, adapt to the medium" is refined. Failure mode: cramming too much of a book into a short film forces characters to stop and explain (telling instead of showing) - his example is The Golden Compass, made with evident passion and good casting yet too short for an epic and overloaded. Faithful adaptations can still work (early Game of Thrones, Lord of the Rings, which cut few scenes but combined, streamlined and reordered many) if they know what story they are telling: a novel can carry many stories, a film needs a central one - his Mistborn film is being reframed as Vin's story while keeping the heist. DSNX panel with Ar...
• What actually helped in an 8-day AI video-editing trial (Jun 2026): editor plugins, agent-made B-roll, Claude + HyperFrames motion graphics, Omni footage edits active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Dan Kieft and team (2026-06-12) sorted tools into money-saving, speed and creativity. Useful: Higgsfield plugins inside Premiere Pro, After Effects and Figma (generate shots, reframe 16:9 to vertical, 4K upscale; background removal "mixed results"); Higgsfield "Supercomputer" agent producing intro scenes and B-roll/infographic "cards" for explainers, with failures retried on request; Claude Code + HyperFrames (HeyGen's Apache-2.0 open-source HTML-to-video renderer "built for agents", R6) to add titles, captions, lists, counters and UI animations around a raw talking-head recording by describing them, then iterating in plain language ("make the transition faster"); Googl...
• Directing AI camera moves with a Blender previs clip: an agent builds the 3D blockout and camera, then the render is fed to Seedance as a "camera movement reference only" active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Dan Kieft (2026-08-05). Problem: complex camera choreography is hard to describe, and re-prompting never reproduces a lucky shot. Method: (1) make a cinematic start frame (any image model); (2) give the frame and a written camera plan (e.g. 15 s: push in on one person, move to another, pass through a window to reveal a food stand) to Claude connected to Blender via MCP - Claude builds a rough scene and animated camera (took about 5+ minutes on his PC); preview, then Render > Render Animation; (3) in Seedance 2.0/2.5 attach the start frame plus the Blender render and begin the prompt with "video 1 as a camera movement reference only", then describe action/dialogue. His A...
• Creator licensing claims vs provider terms: a Mureka tutorial promises "100% royalty-free... commercial license... no copyright strikes" while Mureka's terms are narrower active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Mikkel Lassalle's Mureka video (2026-03-03, R8) tells viewers that all generated tracks are "100% royalty-free and come with a commercial license" and that "you don't have to worry about any copyright strikes". Mureka's own terms as fetched (C3-B413-01, R13) say: paid-tier users own Output; FREE-tier Output is owned by Mureka; the general service licence is for personal, non-commercial use; Mureka does not guarantee copyright registrability and the user bears legal risk; using Mureka's distribution service grants Mureka an exclusive licence. No term read guarantees freedom from copyright claims (Content ID or otherwise). Lesson for curation and creators: a sponsored tut...
• How do I hand storyboard boards to an editor as an animatic, and what could OpenTimelineIO carry that Storyboarder's exporter carries? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read none of the cited sources; S10, S12, S8 rest on the producer's pinned reading. Storyboarder's Final Cut Pro XML export makes one clip per board named from its dialogue, otherwise its action text, otherwise the image filename, puts board notes in the clip description, rounds the timebase up from the project fps and sets the NTSC flag for fractional rates, and uses the project's default board timing (2000 ms in the example) when a board has no duration. A mapping onto OpenTimelineIO clips and markers is plausible but is a proposal, not a documented profile.
• I must write or check a film screenplay: what are the standard page-format elements and how are they laid out? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read none of the cited sources; S18, S19, S20, S21, S22 rest on the producer's pinned reading. A film screenplay is built from a small element set: capitalised scene headings giving interior/exterior, location and day or night, action, character cues, dialogue, parentheticals and transitions, opening with FADE IN; per the BBC sample, dialogue is split across pages only after at least two lines and a full sentence, marked (MORE) and resumed with (CONT'D). Fountain encodes the same elements in plain text.
• What fields and owners do public training templates assign to the call sheet, daily production report and camera report, and which of those fields feed later documents? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S20, S22, S24; S23, S26, S27 were not re-read by the curator and rest on the producer's pinned reading. A film-school camera report (FSU) gives field-level capture provenance: the people responsible (director, DP, 1st AC, 2nd AC), roll/media and camera IDs, file format, project frame rate, framing aspect and LUT, and per take the scene, take, clip name, lens, f-stop and filter/remarks. It is one school's template, not an industry standard.
• When writing a large branching story, what did inkle say it did to keep state, gating and reconvergence tractable, and what broke? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S1; S2, S4 were not re-read by the curator and rest on the producer's pinned reading. inkle's 80 Days postmortem says the team fixed a small set of tracked stats and traits at the start so episodic city content could be written out of order, that making city content optional later broke the logic of most journeys already written, and that full choice histories in saves helped diagnose stuck players. One studio's account.
• What do Houdini Karma and Blender Cycles documentation say about naming, compressing and handing AOVs (including Cryptomatte) to compositing? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S31, S33; S32, S34, S35 were not re-read by the curator and rest on the producer's pinned reading. Karma lets multipart EXR compression be set per AOV via a Render Var LOP and its Cryptomatte vars take an overlap limit (6 recommended) and an external manifest (embedded as metadata if unset); Blender shader AOV names are free text used in both the AOV Output and Render Layers nodes, provided they do not clash with enabled passes, and Cycles light groups give per-light Combined passes.
• Which AOV names and settings does Hydra itself standardise for render delegates, and how are render settings changes tracked? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S25, S26; S24, S27 were not re-read by the curator and rest on the producer's pinned reading. Hydra names standard AOVs by tokens (e.g. color with pre-multiplied alpha, depth, cameraDepth, primId) plus primvars:/lpe:/shader: prefixes (shader format marked TBD), and describes each AOV by format, multiSampled, clearValue and a settings map. These tokens are a separate naming layer from USD RenderVar names and EXR channel names.
• What capture, performer and identity conditions does Epic say MetaHuman Animator needs to solve facial performance onto a rig, and what degrades or fails the solve? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S17, S18, S19; S20 was not re-read by the curator and rests on the producer's pinned reading. MetaHuman Animator guidance sets footage requirements (HD/4K 60 fps, H.264 CRF 18 or better, about 25 Mbps for HD; face at least 1/30 of frame width and height; a face under 40x80 px likely fails detection), a stable camera, unoccluded faces, performer limits (limited stubble, no glasses, heavy makeup or piercings; adult faces only; markers unnecessary) and an identity take per device and appearance (neutral, strongly recommended teeth pose, left/right views for iPhone). No solve-error numbers are given.
• What do later sources add or criticise about applying the twelve animation principles beyond 1987 3D keyframing? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S15; S13, S16 were not re-read by the curator and rest on the producer's pinned reading. A systematic review of 27 human-robot interaction studies (arXiv v4, 2019; arXiv non-exclusive licence) frames robot motion with the twelve principles and its count table shows no reviewed study for Timing, Staging, Solid Drawing or Appeal, while Secondary Action and Straight Ahead/Pose to Pose were most used.
• What does MusicXML 4.0 define for notated versus sounding (MIDI-compatible) data, and what do its own version notes say changed for MIDI tooling and file structure? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S2, S5; S1, S3, S4, S6 were not re-read by the curator and rest on the producer's pinned reading. MusicXML's own tutorial splits the format into notation (display/print) elements and sounding elements that support MIDI playback, of which only the sounding elements are required; durations follow MIDI as divisions per quarter note; version 4.0 removed the midixml DTD/XSL without XSD replacements. No MusicXML text read enumerates conversion losses.
• What do the Unreal Engine 5.8 Movie Render Queue/Graph docs say about temporal sampling, warm-up frames, frame-rate override and audio output for offline capture? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read R12, R13; R14 was not re-read by the curator and rests on the producer's pinned reading. Unreal MRQ guidance uses render and engine warm-up counts (120 each in the guide) to build temporal history before output, supports .wav audio output, and uses temporal samples (sub-frame) for anti-aliasing/motion blur; exact temporal-sampling prose was not re-read by the curator.
• What do Unity Recorder 5.1.7 and Time.captureFramerate document about constant versus variable frame rate capture, audio capture and determinism? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read R5, R6; R10, R11, R7, R8, R9 were not re-read by the curator and rest on the producer's pinned reading. Unity Recorder offers Constant playback (fixed interval between recorded frames, recommended for non-interactive content) and Variable playback (game-view timing); Time.captureDeltaTime advances game time at a fixed interval regardless of real time. The docs read do not state that Constant mode uses captureDeltaTime (producer note kept).
• Which glTF extensions does Godot 4.7.2-stable register, what happens to unsupported required extensions, and what do docs say about blend shapes and animation import? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read GL1, GL2, GL6; GL3, GL4, GL5 were not re-read by the curator and rest on the producer's pinned reading. Godot 4.7.2 imports a glTF only if every extensionsRequired entry is in its supported set: eight extensions built into GLTFDocument plus those declared by registered document extensions (physics, KTX for KHR_texture_basisu, WebP); otherwise it errors suggesting a missing GLTFDocumentExtension plugin. gltf_document.cpp contains no Draco, meshopt, quantization or advanced PBR material extension names (curator string search of that file only); plugins can extend the set.
• If I author projectionModeHint or sortingModeHint on a USD gaussian splat, will it change how the Pixar-shipped renderers draw it? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S1, S5; S6, S7, S8 were not re-read by the curator and rest on the producer's pinned reading. At v26.11.1 nothing changes from v26.11.0 in the files read: hints are passed to Hydra but the sample splat renderer still sorts by view-space depth. Treat the hints as metadata for other renderers, not as a control of look or correctness in Pixar's in-repo code.
• What do ARKit and MediaPipe Face Landmarker document about blendshape count, value range, left/right meaning, coordinate frames and frame timing? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S27, S29, S30; S28, S31, S32 were not re-read by the curator and rest on the producer's pinned reading. ARKit and MediaPipe both expose 52 blendshape coefficients; ARKit groups its constants (eyes 7+7, mouth/jaw 27, brows/cheeks/nose 10, tongue 1) in a right-handed metre face space, and MediaPipe's Left/Right names refer to the subject, so a mirrored (selfie) input swaps them. Neither document states that the names or semantics map one-to-one.
• For Alembic exports headed to Unreal, how do velocities, changing topology, sub-frames and face sets get written and consumed? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read none of the cited sources; S11, S24, S25, S26, S5 rest on the producer's pinned reading. For Alembic caches into Unreal: if topology changes, export per-vertex velocities and use them as motion vectors (otherwise let Unreal compute motion vectors), and export face sets or no materials are created; Blender writes velocities only from a point attribute named 'velocity' and writes face sets when the option is on; Maya's open-source AbcExport offers -writeFaceSets but the file read contains no velocity export.
• What human rating criteria does HANNA use for story quality and how consistent are raters? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  HANNA defines six human criteria (relevance, coherence, empathy, surprise, engagement, complexity) on a 5-point Likert scale and annotates 1,056 stories from 96 WritingPrompts prompts (human story plus 10 systems) with 3 MTurk raters each. Averaged-rater reliability (ICC2k) is only fair to moderate (0.28-0.56), the criteria are weakly to moderately intercorrelated (Kendall 16%-62%, mean 40.7%), and human stories scored highest on every criterion.
• What do the sources say about the goro-goro (gara-gara) clown scene in wayang kulit: where it sits, what it contains, whether it is mandatory, and what does that teach about comic interludes in long-form pacing? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  In Surakarta-style accounts gara-gara is a pathet sanga scene with the punakawan clown-servants (Petruk, Gareng, Bagong; Semar appears in other accounts) filled with songs and jokes, after which the clowns accompany the knight. A pattern source cited by two articles says it is not a standardised scene in Surakarta (unlike Yogyakarta) and is presented if the play is short or a great knight is meditating in the forest; Krystiadi's list marks it 'if needed'. Yogyakarta gara-gara is described as seemingly detached from the story. So the widely repeated 'clown scene at midnight' is a pattern in some styles, optional in Surakarta pakem, and sources disagree on whether it is an integral story scene.
• How is an all-night Javanese wayang kulit purwa performance divided (the three pathet) and what scene types are described in each part? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Sources agree that an all-night Surakarta-style performance is divided into three pathet (nem, sanga, manyura) played in that order, each built from a palace court scene (jejer), further scenes (adegan) and typically a battle (perang), and that the dalang (puppeteer-narrator-singer) controls the sequence with sung suluk, narration and music cues. Times differ: one article gives 9 pm-12, 12-3, 3-5; an outreach handout gives 9 pm to about 6 am. A common outline: pathet nem sets up characters and the problem, pathet sanga holds the hero's withdrawal and, optionally, clown scenes, pathet manyura brings battles and resolution. Scene-level sequences in published lists differ by source and style.
• Do the content-light statistics x265 computes match the H.265 definition of MaxCLL and MaxFALL? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  By reading code against D.3.35, the x265 statistics differ from the spec rule in three ways: they use the Y (luma) plane code values, not per-pixel max(R,G,B) in linear light scaled to cd/m2; the frame average is over the whole stored frame; and the reported MaxFALL is the mean of frame averages, not the maximum. This is a code-derived inference about the statistics, not a statement about what x265 writes in the SEI, which comes from the --max-cll option. No execution was done.
• Archer's 'obligatory scene' (scene a la faire): how does a work's own set-up and its genre create a duty to deliver an expected scene, what are the limits of that rule, and what checks follow? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Archer (Play-Making, 1912, ch. XIII) reports Sarcey's scene a faire and restates it as a scene the audience foresees and desires, so that its absence may reasonably be resented. He lists five sources of obligation (logical, dramatic, structural, psychological, historic), argues Sarcey was right that it frequently arises but not that no good play lacks one, and shows that what counts as the obligatory scene depends on the theatre and audience class (a racing play at three kinds of theatre). He warns that awakening a definite expectation and disappointing it is worse than useless (ch. X), that over-preparation is a fatal error (ch. XII), and that two different scenes (Tolstoy's) can fulfil the same function. An earlier batch (C3-B001-S1-02) listed the five types inside a conflict question; this candidate adds the expectation/genre angle, limits and failure checks.
• What is player agency in interactive narrative, in the words of the openly readable sources, and how is it different from mere activity or participation? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Wardrip-Fruin et al. (DiGRA 2009) quote Murray's definition of agency as the satisfying power to take meaningful action and see the results of decisions and choices, report that Murray separates agency from participation and from mere activity, add Church's two terms (intention and perceivable consequence), and give Mateas's structural definition. They offer their own: agency occurs when the actions players desire are among those they can take, supported by an underlying computational model, and is not free will. Mateas's 2000 paper defines agency as the feeling of empowerment from actions whose effects relate to the player's intention, explicitly not mere interface activity.
• What did DeepMind report when SIMA 2 agents acted in Genie 3-generated worlds: inputs, outputs, constraints, measured results? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  The SIMA 2 paper (DeepMind, Dec 2025) runs a Gemini Flash-Lite-based agent on 720p frames with keyboard-and-mouse actions in Genie 3 worlds. Genie 3 environments are text- or frame-conditioned, split into urban (train) and natural (held-out) navigation tasks. Qualitatively the agent navigates to points of interest; for self-improvement the authors report gains on most train tasks, often 25 points or more, and on most held-out natural tasks (Fig. 17; values read from figure not extracted). The Genie 3 blog (Aug 2025) is an earlier company statement of a SIMA run with no figures. Task count, number of episodes and variance are not given in the text I extracted.
• How do I check whether one event in my story outline causes another, and what does causal-network research say about why that matters (Trabasso and van den Broek)? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  The primary Trabasso and van den Broek 1985 paper is paywalled and was not read. Secondary open sources describe its method: derive a causal network by asking whether B would not have occurred in the circumstances described by the text had A not occurred ('necessity in the circumstances'), counting enablement, motivation, psychological and physical causation; events with more causal connections, and events on the causal chain from opening to outcome, are recalled better (as summarised by Fletcher and Bloom 1988 and by Riedl and Young 2010). Riedl and Young also describe the QUEST model's event and goal nodes and five link types (consequence, reason, initiate, outcome, implies) used to judge why-answers. The checklist is simple to apply by hand; the evidence for it is recall of short texts, not quality of full outlines.
• Does a play need conflict, and what does Archer propose instead as an outline test (crisis, minor crises, first-act exciting moment, obligatory scene)? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Archer (Play-Making, 1912) quotes Brunetiere's formula of drama as will meeting obstacles and calls it a description of many plays but not a universal differentia: it is 'clearly an error to make conflict indispensable to drama'. He offers 'crisis' as the essence: a play is a rapidly developing crisis whose scenes are crises within the crisis, built from a series of minor crises, each act carrying a subordinate crisis. He adds usable tests: place Freytag's exciting moment in the first act, foreshadow without forestalling, identify obligatory scenes (five types), separate chance from coincidence, and allow a deliberate unemphatic ending. He treats Freytag's act-by-act functions as more historical than practical.
• What is 'Freytag's pyramid' in Freytag's own book (MacEwan translation), and where does the popular five-box diagram depart from the text? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  In MacEwan's translation Freytag describes the drama as having a 'pyramidal structure' of five parts (introduction, rise, climax, return or fall, catastrophe) joined by three 'crises' (exciting force, tragic force, force of the last suspense). He places the climax at the middle point where the two halves of the play meet, not near the end; he says only the first crisis is necessary to every play and the other two are 'good but not indispensable'; and he allows a 'double apex' when the climax is tied to a tragic force. The book is a study of stage drama (Greek tragedy, Shakespeare, Schiller, Goethe), so applying the five boxes to any story is an extension the text does not make. A common secondary description (Wikipedia) says Freytag 'didn't actively argue for conflict'; the translated text says the essential nature of the drama is 'conflict and suspense', so that secondary claim is not supported by the pinned primary text.
• What do actors say in BAFTA's public A Life in Pictures transcripts about performing for the camera, shot size and lens, and which of these accounts conflict? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Actors' own accounts in BAFTA lectures describe camera distance and coverage as things they experience rather than calibrate: one marvelled that a colleague grew more relaxed as the camera moved in; another found two simultaneous cameras freeing because he never knew his framing; an actor-director says audiences project onto a face held in a long close take and judges takes by what viewers feel; another avoids learning lenses so as not to become self-aware; another describes playing straight into the lens for one director and forgetting multiple cameras on long takes. None states a rule for scaling performance to shot size.
• How do photographers describe shifting exposure judgement between a measured system (light meter, Zone System) and instant-print feedback, and what trade-offs do they report? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  A studio photographer recalls learning exposure through the Zone System as a student, then working with large instant prints whose blacks went inky and could spread if processing ran long, at about $25 per exposure, which limited experimentation; another photographer pairs digital previews with instant film. Together they show how the cost and medium of feedback shaped exposure choices in two specific practices.
• What plain composition and exposure habits do working photographers describe in their own words in museum-published oral histories, and how much technical exposure detail do these interviews actually contain? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Two photographers' oral histories give simple, actionable habits: a street photographer tells students to learn composition and to look at the background and a single centre of interest; a studio photographer keeps a written log of every exposure and checks placement and focus with a digital camera and instant 4x5 film before shooting film. Neither gives numeric exposure settings; these are personal practice accounts.
• What does Dorothea Lange say in her 1964 Archives of American Art oral history about flash, approach to subjects and what she 'did not use', and what does the transcript not cover on composition and exposure? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  A documentary photographer's 1964 oral history says she used flash very reluctantly and disguised it when she did, and describes working unobtrusively with subjects; the transcript does not discuss exposure settings or composition (negative result for technique). Public domain.
• What does the architectural photographer Julius Shulman say in his 1990 Archives of American Art oral history about balancing interior and exterior light, building long exposures, and staging, and in what period context? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  An architectural photographer, recalling his 1947 twilight photograph of a desert house in a 1990 oral history, describes a 45-minute exposure built up by opening the shutter for two or three seconds at a time while switching the house lights on and off, and admits he did not know what he was doing; he also describes floodlit baby portraits made without flash. Retrospective first-person testimony; the transcript is public domain.
• How do I pin where text goes in a generated graphic using structured controls (FLUX 3 layout boxes, Recraft V3 text_layout), and which scripts and characters do they support? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Problem. Prompt-only placement drifts; some APIs accept coordinates. Conditions. FLUX 3 Image (BFL) and Recraft V3 / V3 Vector. Method (documented). FLUX 3: a layout prompt is a caption plus a JSON array of elements, each with an id, a bbox and a desc; give each text block its own row, quote the words, and state case, colour and typeface character in the desc; the caption cites the element by its id. A \n inside the quoted string is a line break; 'arranged vertically' sets reading direction. BFL's examples include Japanese and English text on one poster. Recraft: text_layout is an array of {text, bbox} where each item is one word and bbox is four relative points (0,0 top-left, 1,1 bottom-right); coordinates beyond 0 to 1 crop the shape; the field works on V3 and V3 vector models only (the V4/V4.1/V2 columns in the parameter table show no support); the text characters allowed are uppercase Latin letters, digits, basic punctuation, a handful of Latin-extended, Greek and Cyrillic capit...
• How do public specs label music and effects stems, and what rights information accompanies stems versus cue sheets? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Delivery specifications label stems by what they contain, not by who owns them: AS-11 X9 uses MCA tags such as Music and Effects (ggME) and Audio Description (ggAD), EBU R 123 calls the M&E bed International Sound, and Paramount requires Atmos beds and objects separated at least into dialogue, narration, music and effects. None of the stem rules read carries rights metadata; identifiers and ownership (ISRC, ISWC, society, owner and shares) live in music cue-sheet formats such as CISAC AVR+.
• What does Bradford Young say, first person, about how he lights Black faces and spaces, and does he give exposure numbers? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  In two interviews a cinematographer frames lighting dark skin as an inherited practice learned from earlier Black cinematographers and filmmakers and, for one film, says he cared more about lighting space than faces. Neither interview gives exposure values, ratios or meter readings, so these are statements of approach, not technical guidance (negative result on numbers).
• What structural vocabulary appears in Spanish, Portuguese and Japanese institutional or scholarly screenwriting teaching, and how far does it differ from Anglo-American three-act teaching? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Screenwriting courses outside English read here mostly use the Anglo-American toolkit: a Valencia course teaches turning points, inciting incident, climax and the hero's journey; a Brazilian article summarises Field, Chion, Comparato and McKee, including three acts; a Japanese syllabus lists kishotenketsu and hako-gaki (box-writing) as a basic lesson without defining them. No primary craft manual in Korean, Hindi or Arabic was found (thin result).
• What does a Nigerian scholar-filmmaker report about Nollywood storytelling and production methods in the platform era, and what does the source not cover? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  A 2024 study by a filmmaker-researcher compares seven Nollywood video films from 1993-2001 with four digital-era remakes (2019-2022): the remakes adopt classical Hollywood narrative techniques and better production values for a global audience while keeping the originals' themes (quick wealth, crime, greed), and the industry keeps its informal production context. It concerns Nigeria and platforms, not day-to-day writing practice or oral tradition.
• Does AES77-2023 set different loudness targets or peak limits from AES TD1008, and what can I read for free? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  No open source read states the numeric targets in AES77-2023, which is a paid standard. A trade report says AES77 is based on TD1008 and does not recommend loudness range or device playback targets; TD1008's own figures (-18 LUFS speech, -16 LUFS track-normalised music, -14 LUFS for the loudest album track, at most -1 dBTP at the codec input) are public and already reviewed. Whether AES77's numbers equal TD1008's cannot be confirmed from open sources.
• Which JSON keys does the articy:draft 3 Unreal importer read for Packages (package definitions and their object lists), and what happens when they are missing? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  The official articy Unreal importer reads, for each exported package, its Name, Description, IsDefaultPackage flag and Models array, and for each model its Type, AssetRef, Category, Template and the TechnicalName, Id and Parent from Properties (ids as hex strings); the remaining properties are interpreted later using the object definitions. Missing keys are tolerated silently by try-get macros, a model whose type has no generated Unreal class produces no asset, and the package's generated folder is Packages/<Name> with spaces turned into underscores, so renaming a package in articy moves its generated assets.

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