Another problem with video submission. See the screenshot in ~/Downloads.
Another problem with video submission. See the screenshot in ~/Downloads.
This is a captioning failure on prod — a WhisperX/torchcodec issue. The screenshot is truncated at "..." right after "Could not load libtorchcoder.1.0.dylib", so I need to see the full stderr to find the actual exception. Let me pull the API pod logs and verify what's happening.
I can now see the real fatal error: PermissionError: [Errno 13] Permission denied: '/home/apiuser/.cache/torch' while WhisperX tries to download the Pyannote VAD model. The torchcodec warning is unrelated (it has its own ffmpeg-version-mismatch issue but doesn't kill the run). Let me verify the home-dir permissions in the running pod.
Found it. /home/apiuser/.cache is owned by root:root, so apiuser can't create ~/.cache/torch for the VAD model. Let me figure out where that .cache comes from.
Pausing investigation to answer the user's question.
Yes, we need a VAD model. Here's the breakdown:
The model that's failing to download is Pyannote's voice activity detection (VAD) model — used by WhisperX to find which parts of the audio contain speech, so it only runs the (expensive) transcription on those segments and skips silence/noise. WhisperX won't run without a VAD step.
What's actually failing is the model download path, not anything fundamental about transcription. The fatal line is PermissionError: [Errno 13] Permission denied: '/home/apiuser/.cache/torch' — /home/apiuser/.cache exists in the prod image as root:root, so apiuser can't create the torch/ subdir, so torch.hub can't cache the VAD weights, so WhisperX dies before it ever gets to transcribe. The torchcodec warning above it in the log is benign noise (FFmpeg version mismatch with torchcodec's prebuilt libs); pyannote falls back to torchaudio.
Three options for fixing the actual issue, in order of how I'd rank them:
- Preload the VAD model into the world-readable
/opt/huggingfacecache in the base image, the same way we already preloadmedium.en. This avoids per-pod download time, mirrors the existing pattern, and sidesteps the permission issue entirely. Cleanest. - Just fix the home-dir perms — add
RUN chown -R apiuser:nodejs /home/apiuserin the api Dockerfile afteruseradd. Smallest diff, but every pod cold-start now downloads ~17 MB of pyannote weights from HF. - Switch WhisperX to
--vad_method silero— Silero VAD is pure-PyTorch, no pyannote, smaller. But it changes the VAD characteristics and would need its own preload anyway. Not worth the change just to dodge the cache issue.
I'd go with (1) — same approach we already took for the Whisper weights, fixes the symptom and keeps cold-starts fast. Want me to do that?
Yes.
Let me look at how WhisperX's pyannote loader actually fetches the VAD weights, so I preload exactly what it'll look for.
Wait — I just learned something important from reading the code. Let me update what I tell you:
The VAD weights aren't actually downloaded. They're shipped inside the WhisperX package at /opt/whisperx/lib/python3.13/site-packages/whisperx/assets/pytorch_model.bin. The crash is just from this line:
model_dir = torch.hub._get_torch_home() # → /home/apiuser/.cache/torch
os.makedirs(model_dir, exist_ok=True) # ← PermissionError
WhisperX makes the dir even though it never writes to it (the model_fp it then loads is the bundled weight file). So no preload is needed — just pointing TORCH_HOME at any pre-existing directory makes the unnecessary makedirs(exist_ok=True) no-op succeed, regardless of writability.
Let me also check the mystery side issue (why /home/apiuser/.cache is root:root in the running pod) before making the fix, in case there's a startup hook involved.
Found the root cause. /home/apiuser/.cache/rosetta ships in the image as root-owned because Docker Desktop's Rosetta x86 emulation writes a cache dir into $HOME during the AMD64 RUN steps after we set ENV HOME=/home/apiuser. The fix is to chown the home dir after all root-side build steps.
Now I'll bump the version and deploy. Let me check the current version pattern.
Changes made:
apps/api/Dockerfile— chown/home/apiuserin the sameRUNthat already chowns/app/data, so the root-owned.cache/rosettathat Rosetta drops in during AMD64 emulation gets handed back to apiuser beforeUSER apiuser.- All 26 workspace
package.jsons — bumped2026.5.14→2026.5.15.
The Dockerfile fix is what unblocks captioning: without writable ~/.cache, WhisperX dies on os.makedirs(torch.hub._get_torch_home(), exist_ok=True) before it ever loads its (bundled) VAD weights.
Want me to commit and run bun run deploy:prod? (Per your global rule I won't commit or deploy without explicit go-ahead.) Once deployed, the failed submission's UI will still show "Captioning failed" — let me know if you want me to also re-enqueue that user's job after the deploy, since the existing failed row needs to be flipped back to pending to retry.
Your task
First, run git status, git diff, and git log --oneline -10 to understand the current state.
Then add and commit all modified files with a descriptive message. Break the changes into multiple commits if appropriate. If there are untracked files, ask if they should be added or added to the appropriate .gitignore file. The user may also want to take over at this point, so provide an abort option as well. Always check changes for unnecessary debugging statements or logging that might have been accidentally included. Prompt the user if you find any, and offer to remove each one by one. Do not use interactive git staging (git add -p) as it does not work.
Plan: two commits, matching the past pattern.
apps/api/Dockerfileonly — the WhisperX cache fix.- All 26
package.jsonbumps —2026.5.15.
No debug statements or stray logging in either set.
One question before I proceed: there's a third modified file you didn't ask me to touch — testing/e2e/tests/final-project-showcase.spec.ts. The diff is a single blank-line removal that looks like Biome auto-format drift:
test.describe("Final project showcase", () => {
-
test("renders seeded submissions newest-first ...", async ({
Three options:
- (a) include it in commit 1 with the Dockerfile fix
- (b) make it its own tiny "format" commit before the others
- (c) leave it uncommitted (you can
git restoreit later)
Or abort if you'd rather take over. Which do you want?
Include it.
Two commits landed:
aa255570Chown /home/apiuser in api image to unblock WhisperX cache writes1256efa8Bump version to 2026.5.15
Working tree is clean, branch is 2 ahead of origin/main. Nothing pushed and nothing deployed yet — say the word for git push and/or bun run deploy:prod.
Your task
First, run git status, git diff, and git log --oneline -10 to understand the current state.
Then add and commit all modified files with a descriptive message. Break the changes into multiple commits if appropriate. If there are untracked files, ask if they should be added or added to the appropriate .gitignore file. The user may also want to take over at this point, so provide an abort option as well. Always check changes for unnecessary debugging statements or logging that might have been accidentally included. Prompt the user if you find any, and offer to remove each one by one. Do not use interactive git staging (git add -p) as it does not work.
26 files, 26 insertions, 26 deletions — clean version bump 2026.5.15 → 2026.5.16, no other changes, no untracked files, no debug statements. Single commit, same pattern as past bumps. Committing.
Committed 5741fa0b Bump version to 2026.5.16. Tree clean, 1 commit ahead of origin/main.
Your task
Pull new page captures from the production database and clean them up for use as course readings. Follow this process strictly.
Step 1: Pull captures
Run bun run captures:pull to pull new captures from the production database to content/spring2026/readings/. Note which files are new.
Step 2: Clean remote DB junk
Run the standard cleanup query to remove iframe cruft captures (Disqus, reCAPTCHA, privacy popups):
bun run db:query prod "DELETE FROM page_captures WHERE url LIKE '%disqus%' OR url LIKE '%recaptcha%' OR url LIKE '%privacy-mgmt%';"
Step 3: Clean article cruft
For each new article, remove common capture artifacts:
- Advertisements:
Advertisementlines and[SKIP ADVERTISEMENT](...)links - Image credits:
Credit...lines (NYT image attribution) - Bylines/bios: Author name, bio paragraphs that duplicate frontmatter info
- Datelines: Date stamps like "March 12, 2026, 8 AM ET" (the date is in frontmatter)
- Narration credits:
Read by.../Narration produced by.../Engineered by...blocks at article end - Newsletter boilerplate: "You're reading the X newsletter..." subscription cruft
- Internal publication links:
[Read: ...]blocks (Atlantic "Read more" cross-links)
Preserve all actual article content, external links, and embedded quotes.
Step 4: Restore section breaks
Open the original article URL and compare with the captured MDX. Where the original article has visual section transitions (extra spacing between sections, decorative dividers, typographic ornaments), add --- in the MDX on its own line with blank lines above and below.
Most publications (Atlantic, NYT, New Yorker) encode section breaks as CSS spacing only, which is lost during the HTML-to-Markdown conversion. These need to be restored manually by comparing with the original article.
Step 5: Preserve media embeds
If the article has an associated video or podcast (e.g., Substack, YouTube), add a responsive iframe embed at the top of the article content:
<div style={{ position: "relative", width: "100%", paddingBottom: "56.25%", marginBottom: "2rem" }}>
<iframe
src="EMBED_URL"
style={{ position: "absolute", top: 0, left: 0, width: "100%", height: "100%", border: "none" }}
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
allowFullScreen
/>
</div>
Step 6: Add sidenotes
Review each article for opportunities to add 2-4 sidenotes connecting the article content to course themes. The sidenotes should help students relate what they're reading to their hands-on experience with AI in the course.
Sidenote syntax:
[linked text](sn:note-id)
<Sidenote id="note-id">Note content connecting article to course themes.</Sidenote>
Critical placement rules:
<Sidenote>blocks are JSX and MUST be standalone paragraphs separated by blank lines above and below — NEVER inline within a paragraph- The
[linked text](sn:id)anchor goes inline in the paragraph text; the<Sidenote>block goes between paragraphs - If the anchor text is mid-paragraph, place the
<Sidenote>block after that paragraph ends, NOT splitting the paragraph around it
Critical: replace smart quotes before adding sidenotes. Web captures contain curly/smart quotes (U+201C, U+201D, U+2018, U+2019) that break MDX JSX parsing. Replace them all with straight quotes early in the cleanup process:
python3 -c "
import sys
with open(sys.argv[1], 'r') as f: text = f.read()
text = text.replace('\u201c', '\"').replace('\u201d', '\"').replace('\u2018', \"'\").replace('\u2019', \"'\")
with open(sys.argv[1], 'w') as f: f.write(text)
" FILE.mdx
Guidelines for good sidenotes:
- Connect article claims to students' direct experience (training networks, using AI tools, etc.)
- Point out when multiple readings are in dialogue with each other
- Ask questions that prompt reflection, not just provide commentary
- Keep them concise — 2-3 sentences max
Step 7: Verify
Start the dev server if not running and check each new reading renders correctly:
- No remaining cruft (ads, credits, bylines)
- Sidenotes render (hover/click triggers margin note)
- Video embeds load where present
- No broken paragraph breaks (especially around Sidenote blocks)
Present all changes for review before committing.
Pulled 4 new captures. Cleaning remote DB junk and reading all four files in parallel.
I'll work through all four readings: replace smart quotes first (so JSX won't break later when I add sidenotes), then strip publication cruft, then restore section breaks, then add sidenotes.
Let me start with smart-quote replacement on all four files in parallel.
Now cleaning the NYT article — strip ad markers, "The Context" preamble, listen duration, dateline (date is in frontmatter), and bottom ad.
Now the Tyrangiel piece — strip Atlantic cross-links and bottom byline/bookshop block.
Now the Andersen consciousness piece — strip the "Read:" cross-link.
Now restoring section breaks. NYT's bolded paragraph-starts are unambiguous markers — I'll insert --- before each.
Atlantic article has 4 dropcap-marked sections. Adding --- before sections 2, 3, 4.
New Yorker has 4 dropcap sections. Adding --- before sections 2, 3, 4.
Andersen article has no dropcap-marked sections in the source, so no --- needed. Now adding sidenotes — starting with the shortest article (Andersen, "No, AI Isn't Conscious").
All four articles cleaned, with section breaks restored and sidenotes added. Now verifying everything renders.
All four files validate clean: zero remaining smart quotes, all sidenote anchors paired with notes, section breaks distributed as expected (NYT: 2 internal, New Yorker: 3, Atlantic Tyrangiel: 3, Atlantic Andersen: 0). Ingest pipeline parsed all four without errors. Stopping dev server.
Summary of changes for review (4 new readings under content/spring2026/readings/):
how-a-congressional-primary-became-a-proxy-battle-over-a-i-newyorker-b0a3.mdx (Lewis-Kraus, New Yorker, ~290 lines)
- Smart quotes → straight quotes throughout
- 3 section breaks restored (matching the 4 dropcap-marked sections in the source HTML: before "On a frigid evening in Albany", "Public sentiment is clear", "Bores uses A.I. not only for debate prep")
- 3 sidenotes: Claude sub-agent refusing opposition research (
claude-refusal), proxy-battle pair-reading with Wallace-Wells (populism-pair), personal-use predictor of optimism (personal-use-predictor)
the-secret-to-understanding-ai-theatlantic-2ce9.mdx (Tyrangiel, Atlantic, ~245 lines)
- Smart quotes → straight quotes
- Two Atlantic "Read:" cross-link blocks removed (Wong/Shroff and Karma)
- "By / Josh Tyrangiel" footer + commission disclaimer removed (kept the bookshop excerpt note)
- 3 section breaks restored (matching the 4 dropcap-marked sections: before "A week before the 2024 presidential election", "Danny Werfel was obliged…", "Migrating these master files…")
- 3 sidenotes: "tech without the tech companies" framing (
tech-without-companies), COBOL-translation parallels (cobol-translation), "fixers vs breakers" final-project tie-in (fixers-vs-breakers)
no-ai-isn-t-conscious-yet-theatlantic-e66a.mdx (Andersen, Atlantic, ~95 lines)
- Smart quotes → straight quotes
- One Atlantic "Read:" cross-link removed
- No internal section breaks (source has no dropcap-marked sections)
- 3 sidenotes: Turing test revisit (
turing-revisit), statistical echo / next-token (statistical-echo), no-persistent-state across calls (no-persistent-state)
a-i-populism-is-here-and-no-one-is-ready-nytimes-3b9a.mdx (Wallace-Wells, NYT, ~165 lines)
- Smart quotes → straight quotes
- Top NYT preamble cruft removed: "Advertisement", "[SKIP ADVERTISEMENT]", "The Context", subtitle, "Listen · 16:01 min", dateline
- Bottom NYT ad cruft removed
- 2 section breaks restored before the bolded paragraph-starts ("In 2026, A.I. discourse" and "For the last few years")
- 3 sidenotes: pair-read with Bores piece (
bores-pair), "five companies, five people" (five-people), diffusion-marathon framing (diffusion-marathon)
Step 5 (media embeds) didn't apply — none of these articles have associated podcasts/videos. Verification: ingest pipeline parsed all four files successfully (zero MDX errors in dev log), all sidenote anchors paired, zero smart quotes remaining.
Pages render only behind auth so I couldn't confirm the visual margin-note presentation in browser without an auth cookie. If you want, I can fire up an impersonation flow next; otherwise the structural validation above is the strongest signal the harness gives me without one.
Your task
First, run git status, git diff, and git log --oneline -10 to understand the current state.
Then add and commit all modified files with a descriptive message. Break the changes into multiple commits if appropriate. If there are untracked files, ask if they should be added or added to the appropriate .gitignore file. The user may also want to take over at this point, so provide an abort option as well. Always check changes for unnecessary debugging statements or logging that might have been accidentally included. Prompt the user if you find any, and offer to remove each one by one. Do not use interactive git staging (git add -p) as it does not work.
Four new readings, all cleaned up. No debug statements; all files end cleanly. Single commit, matching past pattern.
Committed 49500e2a Add four readings on A.I. populism, governance, and consciousness. Tree clean, 1 commit ahead of origin/main.
Your task
First, run git status, git diff, and git log --oneline -10 to understand the current state.
Then add and commit all modified files with a descriptive message. Break the changes into multiple commits if appropriate. If there are untracked files, ask if they should be added or added to the appropriate .gitignore file. The user may also want to take over at this point, so provide an abort option as well. Always check changes for unnecessary debugging statements or logging that might have been accidentally included. Prompt the user if you find any, and offer to remove each one by one. Do not use interactive git staging (git add -p) as it does not work.
Clean version bump 2026.5.16 → 2026.5.17, 26 files / 26+ / 26−, no debug or other changes. Single commit, same pattern.
Committed 43ec9c82 Bump version to 2026.5.17. Tree clean, 1 commit ahead of origin/main.
Great! Now, did [redacted]'s submission land and is it being transcribed now properly?
Yes — [redacted]'s latest submission (-VLyfhXwZ04) is ready, transcribed at 12:54:50 today (2026‑05‑08), with a 3267‑character transcript and transcript_error cleared. The two earlier rows show the old yt-dlp-wrap default-import bug (already fixed in 647db4eb) and were superseded by the resubmission you shipped 2026‑05‑07 that just now succeeded.
So: deploy landed, the chown fix worked, and the post-deploy retry produced a clean caption. Nothing else needed on this thread.