#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.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
2
Recent posts
Mastodon
~0.2/hr
Recent pace
Mastodon · last 2
0
Avg reactions / post
Mastodon · last 2

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 07:58 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

0 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 UTC

No related tags with measured usage found for #evolutionstrategies.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 07:58 UTC

Everything below is measured over the latest 2 public posts (spanning ~11 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (2)

Avg boosts / post: 0

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

    ainews@[email protected]002026-06-23 00:53 UTCView post →
  • 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/

    ainews@[email protected]002026-06-22 13:54 UTCView post →

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