@nutlope clip · 2026-09-17
1,018 research papers labelled for eight cents
I used Jev to classify 1,018 AI research papers. The result: $0.08 total cost and 256ms median end-to-end latency per paper. The pipeline was: 1. Summarize each paper with DeepSeek V4 Flash 2. Send the title + summary + 24 possible topics to Jev 3. Use Jev to classify each…
Why it is here
1,018 research papers sorted into twenty-four topics for eight cents, 256 milliseconds median per paper, with a fast language model writing the summary that Jev then labels. The two-model pipeline is the reusable shape, and the per-item cost is the number worth keeping.
What we checked
- post read through the public syndication endpoint on 2026-09-24
- text, author, date and like count read from that response on 2026-09-24
- poster image stays on X's CDN; nothing downloaded or rehosted
What we did not check. We did not re-run the thing the post describes, so every figure on this page is the author's own and every claim is theirs — the note above is what we make of it after reading, not a measurement. The like count is a snapshot read on 2026-09-23 and it has moved since; 1,983 is what it said when we looked.