| name | aeon-paper-pick |
| description | Surface the one AI / ML paper to read today from Hugging Face Papers, with the central claim,
why it's worth an hour, where it might be wrong, and a time-budgeted read order. Filters out
pure benchmark-chasing and incremental scaling reports. Use as a daily morning brief input
for AI-savvy operators.
Triggers: "one paper to read today", "best AI paper today", "what's the must-read paper",
"HF Papers top pick".
|
aeon-paper-pick
One paper per day. Not a digest — one pick, with a short brief that lets the reader decide whether to invest the next hour.
How the pick works
- Fetch last 24h of HF Papers (
https://huggingface.co/papers).
- Drop pure benchmark-chasing (new SOTA on existing leaderboard, no method change), incremental scaling reports, and position papers without empirical claims.
- Score survivors on novelty of method/framing, falsifiability of central claim, reproducibility signal (code + weights + data), and cross-discipline applicability.
- Pick the highest scoring. Tie-break: sharper falsifiable claim.
Brief format
[Paper title]
Authors: A, B, C (Lab)
arXiv: 2505.xxxxx
Central claim: [one sentence, plain English]
Why it's worth an hour:
- [method shift, not benchmark bump — they replace X with Y]
- [claim is falsifiable: ablation in §4 isolates X vs not-X cleanly]
- [code + weights released, reproducible at home]
Where it might be wrong:
- [training distribution is narrow — open question whether the effect transfers]
- [comparison baseline is older than expected]
Read order:
1. §3 (method) — 8 min
2. §4 (ablations) — 12 min
3. §6 (limitations) — 5 min
Optional: §5 (extended experiments)
Empty days
If 0 papers survive the filter:
No surviving picks today. 14 papers filtered out: 6 benchmark-chasing, 5 incremental scaling, 3 position papers.
Worth scrolling yourself: huggingface.co/papers
Honesty over manufactured picks.
Rules
- One pick, not three. Three picks is a digest, and digests become wallpaper.
