EPISODE · Nov 19, 2025 · 13 MIN
MAKER: Million-Step LLM Tasks with Zero Errors
from Build Wiz AI Show · host Build Wiz AI
Large Language Models typically fail long-horizon tasks due to persistent error rates, often derailing after only a few hundred steps. This episode explores MAKER, the first system to successfully solve a task requiring over one million LLM steps with zero errors. Discover how Massively Decomposed Agentic Processes (MDAPs) utilize extreme decomposition into focused microagents and efficient error-correcting voting to provide a reliable, scalable paradigm for future AI systems.
What this episode covers
Large Language Models typically fail long-horizon tasks due to persistent error rates, often derailing after only a few hundred steps. This episode explores MAKER, the first system to successfully solve a task requiring over one million LLM steps with zero errors. Discover how Massively Decomposed Agentic Processes (MDAPs) utilize extreme decomposition into focused microagents and efficient error-correcting voting to provide a reliable, scalable paradigm for future AI systems.
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MAKER: Million-Step LLM Tasks with Zero Errors
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