#humaneval

Live, measured metrics for the hashtag #humaneval from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #humaneval

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.

$51.02/ year · 9-character #name
Claim #humaneval — $51.02/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
8
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 8
0
Avg reactions / post
Mastodon · last 8
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-10-30 22:31 UTC
0
10-24
0
10-25
0
10-26
0
10-27
0
10-28
0
10-29
0
10-30

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mas.to (Mastodon public search API) · fetched 2026-10-30 22:31 UTC

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-10-30 22:31 UTC

Everything below is measured over the latest 8 public posts (spanning ~20232 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (5) · Russian (1) · Portuguese (1) · Italian (1)

Avg boosts / post: 0.8

Top of the latest posts

  • even #humaneval a set of tests for evaluating coding LLMs, uses real tests I mean `assert ...` 🤯 a good explainer: https://www.youtube.com/watch?v=dKkNsCm9pLQ the code: https://github.com/openai/human-eval

    Wolfram wants peace@[email protected]♥ 0↻ 02026-02-12 08:27 UTCView post →
  • 🛠️ Achieves top performance in Fill-in-the-Middle (#FIM) tasks: 85.9% average accuracy across languages, 95.3% pass@1 rate 💻 Excels in multiple languages: 86.6% #Python, 78.9% #Cpp, 82.6% #JavaScript accuracy on #HumanEval benchmarks

    michabbb@[email protected]♥ 0↻ 12025-01-14 23:13 UTCView post →
  • [Перевод] Сравнение бенчмарков LLM для разработки программного обеспечения В этой статье мы сравним различные бенчмарки, которые помогают ранжировать крупные языковые модели для задач разработки программного обеспечения. https://habr.com/ru

    Habr@[email protected]♥ 0↻ 02024-11-14 14:52 UTCView post →

#humaneval across platforms

every network with a public tag surface

Follow #humaneval 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/humaneval