Most contemporary artificial intelligence (AI) systems are released with frozen parameters and improve through external updates, whereas an ideal system would keep improving from its own experience, a
Most contemporary artificial intelligence (AI) systems are released with frozen parameters and improve through external updates, whereas an ideal system would keep improving from its own experience, a
Details from Hugging Face ↗.
Evolving with Open Worlds: Towards Recursive Self-Improvement for Future Forecasting was first seen on Hugging Face · Daily papers on Oct 23, 2026. Since then it has appeared in 2 checks on 1 different day. Its best position was #26 of 30, reached on Oct 23, 03:18 UTC. It dropped off the list after Oct 23, 03:18 UTC.
This page has little history so far; it stays out of search results until the item has trended on two days or has more context.
Position on Hugging Face · Daily papers at every check (lower is better).
Best rank per day (UTC).
Platform metric as reported by Hugging Face.
Archived daily, weekly and monthly lists that include this entry.
Not at the moment. It was last on the list on Oct 23, 03:18 UTC, after 1 day of trending.
#26 on Hugging Face · Daily papers, on Oct 23, 03:18 UTC. Trendoday checks this list every 120 minutes.
It was first seen on Oct 23, 2026 and has been on the list on 1 day (2 checks) since.