#aisafetytalks
Live, measured metrics for the hashtag #aisafetytalks from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #aisafetytalks
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 2026-07-29 19:41 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 2026-07-29 19:41 UTCNo related tags with measured usage found for #aisafetytalks.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 19:41 UTCEverything below is measured over the latest 3 public posts (spanning ~5138 hours).
Posting hours (UTC)
Languages: English (2) · Norwegian Nynorsk (1)
Avg boosts / post: 0
Used together with
Top of the latest posts
New great video from Robert Miles about #aisafety, #aisafetytalks AI Ruined My Year https://www.youtube.com/watch?v=2ziuPUeewK0
A lot of focus on controlling open source AI, but how? Seems very unrealistic. Reminiscent of wishful thinking to put backdoors in end-to-end encryption - Stuart Russell #AISafetyTalks #AISummitTalks
Large language models are inherently unsafe, because we have trained them that way [LLMs like ChatGPT]. Needs to be designed to be safe up front by design - Stuart Russell, UC Berkeley #AISafetyTalks #AISummitTalks
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/aisafetytalks