#AISummitTalks
Live, measured metrics for the hashtag #AISummitTalks from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #aisummittalks
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 · mastodon.social (Mastodon public tags API) · fetched 2026-10-01 06:03 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-10-01 06:03 UTCNo related tags with measured usage found for #aisummittalks.
Live pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-01 06:03 UTCEverything below is measured over the latest 2 public posts (spanning ~0.1 hours).
Posting hours (UTC)
Languages: English (2)
Avg boosts / post: 0
Used together with
Top of the latest posts
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
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
#aisummittalks across platforms
every network with a public tag surfaceFollow #aisummittalks straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
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/aisummittalks