#capabilityoverhang
Live, measured metrics for the hashtag #capabilityoverhang from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #capabilityoverhang
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 21:44 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 2026-07-27 21:44 UTCNo related tags with measured usage found for #capabilityoverhang.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 21:44 UTCEverything below is measured over the latest 2 public posts (spanning ~629 hours).
Posting hours (UTC)
Languages: English (2)
Avg boosts / post: 0.5
Top of the latest posts
There is no centralized, organized, accountable way to report flaws in AI systems ... ya we kinda get that. This bunch (researchers from MIT, Stanford, Harvard, Northeastern, Hugging Face and cybersecurity experts) is trying to change this
Podcast Alpha (@PodcastAlphaX) 데미스 허사비스는 현재 AI 모델들이 이미 사용자들이 쓰는 수준보다 더 높은 잠재력을 갖고 있으며, 개발사들이 도구를 만들느라 모델의 능력 일부만 활용되고 있다고 말했다. 그는 이를 'capability overhang'로 표현하며, 현세대 모델의 미활용 가능성이 매우 크다는 점을 강조했다. https://x.com/PodcastAlphaX/status/2062829027
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/capabilityoverhang