@charliermarsh: Is Tibo talking about my small-string optimization work?
Summary
Charlie Marsh asks if Tibo's praise of GPT-5.6 Sol's performance and efficiency improvements is referring to his small-string optimization work.
View Cached Full Text
Cached at: 07/29/26, 10:01 AM
Is Tibo talking about my small-string optimization work?
Tibo (@thsottiaux): Turns out GPT-5.6 Sol and friends are absolutely amazing at performance and efficiency improvements. Good time to brush up on using OpenAI models if you haven’t switched already.
Excited to be able to share more soon. Pretty wild.
Similar Articles
@omarsar0: The efficiency frontier! Where do you think GPT-5.6 will land?
Discussion of recent benchmark results for Claude Opus 4.8 and GPT-5.5 on DeepSWE Bench, with speculation about future GPT-5.6 performance and efficiency trends.
@Saboo_Shubham_: WILD times. Anthropic: Opus 5 beats GPT-5.6 on ARC-AGI-3 Tibo: I change two settings and GPT-5.6 Sol is now SoTA
Anthropic's Opus 5 beats GPT-5.6 on ARC-AGI-3, but Tibo claims GPT-5.6 Sol becomes SoTA with two setting changes involving multi-context reasoning and canonical compaction.
Am I missing something about GPT-5.5 efficiency?
A user questions the token efficiency of GPT-5.5 versus GPT-5.4 in Codex, analyzing a chart from Artificial Analysis and praising Cursor's token performance.
GPT-5.6 Sol helped optimize its own inference
GPT-5.6, codenamed Sol, optimized its own inference process.
@charliermarsh: Since my last post, I reduced ty’s retained memory by another 15% with Codex. We're now at a ~25% memory reduction over…
Developer @charliermarsh reports reducing ty's retained memory by another 15% using Codex, achieving a total ~25% memory reduction via /goal, and expresses enthusiasm for GPT models.