Open-source Ornith-1.5 hits SOTA with self-improving strategies
aftahi_ai · x · 2026-08-19
Ornith-1.5, a family of open-source LLMs (9B Dense, 35B MoE, 397B MoE), has been released with a focus on end-to-end self-improvement. The models not only solve tasks but also generate new tasks and build their own scaffolds.
It achieves state-of-the-art performance on several benchmarks:
- SWE-Bench Verified: 86 (a significant jump)
- Terminal-Bench 2.1: 86.1
- Tool Decathlon: 71.2
The author claims performance comparable to Claude Opus 4.8 across reasoning, agentic, and coding tasks.
Related event: Ornith-1.5 Release: 397B MoE Self-Improvement Targets Claude Opus(24 posts)→
More from Models
- Meta open-sources Muse Spark Open agent model with day-0 TPU support in SGLang — BanghuaZ · 2026-10-16
- Saying "load-bearing" in your prompt makes Opus 5.5 stop holding back — zacharynado · 2026-10-16
- Americans get their Claude accounts banned while on business trips in China — dotey · 2026-10-16
- I priced every Grok Bot call: $20 to $200 plan in 5 days, long jobs eat 52% — jonathanmalkin · 2026-10-16
- NVIDIA releases Nemotron-3.5-Embed-1B, a multimodal embedding model covering 34 languages — jacek2023 · 2026-10-16
- EpochAI pegs GPT-6 training at up to 1.8e27 FLOP; scaling01 calls param estimates way too high — scaling01 · 2026-10-16