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.

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" https://the-decoder.com/openais-gpt-5-6-sol-autonomously-post-trained-the-smaller-luna-model-with-a-fairly-underspecified-prompt/ appeared first on The Decoder https://the-decoder.com .