Vals says open-weight models nearly match closed models at hacking
On simulated networks, OpenAI’s Daybreak finished 81 percent of tasks and DeepSeek 73 percent, at a much lower token cost.
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- Mentions · 7d1
- Mentions · 30d4
- All mentions6
- First seenSep 22, 2026
- Last mentioned5d ago
Timeline
6 articles · newest firstLaminar releases flow-1 to catch silent AI agent failures
Laminar says the RL-trained model matches GPT-6-sol detection quality at 23 times lower cost on its benchmark.
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Language Models Learn to Improve Language Models
LM2LM uses a research world model as an RL reward so Qwen3.8-27B proposes stronger model improvements than GPT-6-sol.
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LM2LM uses a research world model to train improvement proposals
Held-out runs show Qwen3.8-27B beating GPT-6-sol given 300 records, at 33% lower data-generation cost.
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ARCS: Towards Precise Text-to-SQL via Structured Disambiguation
ARCS benchmark shows text-to-SQL remains weak when natural question ambiguity is present.
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llm 0.36
llm 0.36 adds GPT-6 Sol and Luna IDs and blocks chat for single-turn models.
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Appears with
- Qwen3.8-27Bai model · 2
- Anthropicorganization · 1
- LM2LMproduct · 1
- Daybreakai model · 1
- Signalsproduct · 1
- Ederaorganization · 1
- Laminarvendor · 1
- DeepSeekai model · 1
- Y Combinatororganization · 1
- flow-1ai model · 1
- OpenAIvendor · 1
- Claude Mythos Previewai model · 1
- gpt-6-lunaai model · 1
- llmproduct · 1
- Valsorganization · 1
- OpenAIorganization · 1
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