#ai4se
Live, measured metrics for the hashtag #ai4se from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #ai4se
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 05:43 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-28 05:43 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 05:43 UTCEverything below is measured over the latest 3 public posts (spanning ~2594 hours).
Posting hours (UTC)
Languages: English (3)
Avg boosts / post: 3.7
Top of the latest posts
Super happy and very proud: JetBrains and TU Delft are launching an exciting five year collaboration: the AI for Software Engineering Lab (AI4SE). There are five research tracks in this program: - Validating (AI) generated cocde - Optimizin
Today's #ASE2023 keynote on "resolving code review comments with ML". Presented by Danny Tarlow (Google Deepmind). Blog: https://blog.research.google/2023/05/resolving-code-review-comments-with-ml.html Based on the DIDACT "Large sequence mo
Currently working on a survey in the area of #AI4SE, I am seriously considering a "hall of shame" of the worst papers we found. It's truly unbelievable what kind of rubbish is published at some venues. The recipe seems: Take some random inp
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/ai4se