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实时 06:51:36
English(EN) i wanted to try out the new # astra model from # openai so i worked back and forth with it on a janky little script to convert eve.json from # suricata to # mit

用户发现 OpenAI 的新 Astra 模型不尽如人意

一位用户试用了 OpenAI 的新 Astra 模型,发现它“还行”,与 FableOpus 5 等先前模型相比并没有显著改进。用户使用 Astra 开发了一个脚本,将 SuricataEve.json 数据转换为 MITRE ILF 格式,但最终认为目前许多 AI 开发都被过度炒作了。 AI

影响 表明当前 AI 模型的发展可能被过度炒作,可能影响用户采纳和期望。

排序理由 用户对新模型发布提供了意见,将其与先前模型进行比较,并对 AI 炒作表示怀疑。

在 Mastodon — mastodon.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

用户发现 OpenAI 的新 Astra 模型不尽如人意

本文如何被排名

Signal score
2 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
用户对新模型发布提供了意见,将其与先前模型进行比较,并对 AI 炒作表示怀疑。
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, opinion
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准

报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    我想试用 #openai 的新 #astra 模型,所以我用一个简陋的小脚本来回地与它协作,将 #suricata 的 eve.json 转换为 #mit

    i wanted to try out the new # astra model from # openai so i worked back and forth with it on a janky little script to convert eve.json from # suricata to # mitre ILF, then i had it generate a pile of tests: https:// github.com/cmhobbs/suricata2ilf it's... fine? i guess? doesn't …