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ornith-ai
Ornith-1
AI & Machine Learning2026–2026
ornith-ai / Ornith-1

Ornith-1

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2Distinct people
2Mentions
0Explicit recommenders
2.2KGitHub stars
REPOSITORY AT A GLANCE

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What people are saying

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This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by hour2 dated mentions

Observed mentions: 2026-06-29 17:16:17 UTC to 2026-06-29 23:14:29 UTC.

012026-06-29 17:00:00 UTC to 2026-06-29 18:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJun 29, 17:002026-06-29 18:00:00 UTC to 2026-06-29 19:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-29 19:00:00 UTC to 2026-06-29 20:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-29 20:00:00 UTC to 2026-06-29 21:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJun 29, 20:002026-06-29 21:00:00 UTC to 2026-06-29 22:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-29 22:00:00 UTC to 2026-06-29 23:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-29 23:00:00 UTC to 2026-06-30 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJun 29, 23:00

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

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PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jun 29, 17:002026-06-29 17:00:00 UTC2026-06-29 18:00:00 UTC110
Jun 29, 18:002026-06-29 18:00:00 UTC2026-06-29 19:00:00 UTC000
Jun 29, 19:002026-06-29 19:00:00 UTC2026-06-29 20:00:00 UTC000
Jun 29, 20:002026-06-29 20:00:00 UTC2026-06-29 21:00:00 UTC000
Jun 29, 21:002026-06-29 21:00:00 UTC2026-06-29 22:00:00 UTC000
Jun 29, 22:002026-06-29 22:00:00 UTC2026-06-29 23:00:00 UTC000
Jun 29, 23:002026-06-29 23:00:00 UTC2026-06-30 00:00:00 UTC101

What Hacker News says

2 sources
The Ornith folks say they're doing that, but haven't released the Gemma-based 31b yet (https://github.com/deepreinforce-ai/Ornith-1). But, also, the Qwen-based 35b MoE Ornith version performs worse than Qwen 3.6 and Qwen AgentWorld on my benchmarks (which are focused on finding security bugs, so not exactly the same as agentic coding, but closely related skills). That said, the reason they're able to release Ornith branded post-trains of both Gemma and Qwen is because they're open weights under a friendly license. Someone, not just Google, could make a coding focused Gemma post-train. I don't think it's actually much weaker than Qwen 3.6 for coding; Gemma 4 31b outperforms Qwen 3.6 27b by a wide margin on security bug hunting (at least for the specific bugs in my benchmarks, which are mostly relatively difficult bugs from the Mythos-repor
Read the rest
ted bugs). I'd really love to see a bigger MoE from Google, though. A 70b or 120b MoE would likely be super fun.
In Qwen 3.6 27B is the sweet spot for local development

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