#evolutionstrategies
Live, measured metrics for the hashtag #evolutionstrategies from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #evolutionstrategies
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 07:58 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 07:58 UTCNo related tags with measured usage found for #evolutionstrategies.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 07:58 UTCEverything below is measured over the latest 2 public posts (spanning ~11 hours).
Posting hours (UTC)
Languages: English (2)
Avg boosts / post: 0
Used together with
Top of the latest posts
Ryousuke_Wayama (@wayama_ryousuke) Sakana AI 논문을 검토한 내용으로, 0.6B SLM과 약 1만 개의 경량 헤드를 조정하는 코디네이터를 진화전략(sep-CMA-ES)으로 최적화하는 구조가 핵심이라고 요약한다. 대화 전체의 상태(쿼리+히든 상태)를 활용해 경량 모듈을 대규모로 조합·최적화하는 접근이라, 효율적 에이전트/모듈식 LLM 설계에 참고 가치가 있다. https://x.com/wayam
Ryousuke_Wayama (@wayama_ryousuke) Sakana AI 논문을 훑어본 내용으로, 0.6B SLM과 약 1만 개의 경량 헤드를 조정하는 코디네이터가 핵심이라고 설명합니다. 코디네이터는 대화 전체 히스토리의 상태(query + hidden state)를 보고 sep-CMA-ES 진화전략으로 최적화합니다. 에이전트/오케스트레이션 및 경량 모듈 조합 관점에서 참고할 만한 연구입니다. https://x.com/
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/evolutionstrategies