Omar Sanseviero, a researcher at HF, noted that dynamic workflows, which generate harnesses on the fly, represent a novel approach to test-time computation. He observed that current large language models struggle with creating these complex workflows, often requiring manual guidance for intricate patterns. Sanseviero expressed curiosity about the capabilities of Mythos and GPT 5.6 in dynamically generating such complex workflows. AI
IMPACT Current LLMs face challenges in generating complex, dynamic workflows, prompting questions about the capabilities of newer models like Mythos and GPT 5.6 in this area.
RANK_REASON The item is a social media post by a researcher discussing the capabilities of LLMs, rather than a primary release or significant industry event.
Read on X — Omar Sanseviero (HF research) →
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