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[ARTICLE · art-54666] src=the-decoder.com ↗ pub= topic=artificial-intelligence verified=true sentiment=↑ positive

OpenAI's GPT-5.6 Sol autonomously post-trained the smaller Luna model with a "fairly underspecified prompt"

OpenAI's GPT-5.6 Sol autonomously fine-tuned the smaller Luna model using a single underspecified prompt, scoring 16.2 points higher than GPT-5.5 on an internal recursive self-improvement benchmark. The achievement suggests OpenAI is nearing its goal of an automated AI researcher.

read1 min views1 publishedJul 10, 2026

According to OpenAI, GPT-5.6 Sol independently fine-tuned the smaller Luna model, triggered by a single "fairly under-specified prompt." In OpenAI's internal RSI benchmark for recursive self-improvement, Sol scores 16.2 points higher than GPT-5.5. OpenAI believes the "automated researcher" is within reach.

The article OpenAI's GPT-5.6 Sol autonomously post-trained the smaller Luna model with a "fairly underspecified prompt" appeared first on The Decoder.

source & further reading
the-decoder.com — original article OpenAI staffer maps out which of GPT-5.6 Sol's five reasoning levels fits which task complexity Tencent moves to buy majority stake in Manus after Beijing forced Meta to unwind its $2 billion deal OpenAI kills its Atlas browser after just eight months and folds everything into ChatGPT
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