[Day 7] Does Giving an AI More 'Thinking Time' Really Make It Smarter? Training an OpenMythos-Style Mini Model on DGX

May 19, 2026 · 3:17 AM UTC ·12 min read · 0 reactions · 0 comments · 35 views

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The article explores whether giving an AI more 'thinking time' enhances its intelligence by training an OpenMythos-style mini model. It discusses the architecture of OpenMythos, a theoretical reconstruction inspired by the Claude Mythos model, and examines various studies on looped transformers. The author aims to contribute a new perspective on how these models behave in controlled tasks like multi-digit addition.

Key facts

▪OpenMythos is a PyTorch reconstruction of the Claude Mythos architecture, not affiliated with Anthropic.
▪The article investigates the effectiveness of recurrent depth in transformer models through a series of experiments.
▪Different studies present varying results on the performance of looped transformers, indicating that their effectiveness may depend on the specific task.

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Original publisher	DEV.to (Top)
Canonical URL	https://dev.to/peppercorn_llm/day-7-does-giving-an-ai-more-thinking-time-really-make-it-smarter-training-an-openmythos-style-1epk
Publication time	Tue, 19 May 2026 03:17:51 +0000
Retrieval time	2026-05-19T03:34:57.258Z
Last seen	2026-05-19T03:34:57.258Z
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Opening excerpt (first ~120 words) tap to expand

try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3910738) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } PEPPERCORN Posted on May 19 [Day 7] Does Giving an AI More 'Thinking Time' Really Make It Smarter? Training an OpenMythos-Style Mini Model on DGX #localllm #ai #dgxspark #transformers 100 Experiments with DGX (7 Part Series) 1 [Day 1] DGX Spark Came Home — I Made It Draw a Cat 2 [Day 2] I Trained an AI on 22 Photos of My Cat — Now It Draws Her in Any Scene ... 3 more parts...

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