What caused Scout AI's training seizure?

Optimizer leak from fine-tuning into pre-training, spiking loss over 600 and wrecking grammar.

How does Scout's context window work?

It's her 'day' — full block resets after logging and fine-tuning; expanding from 256 to 512 tokens for longer memory.

Dev's testing by splitting context for inner voice to handle dreams solo — risky, but promising if it sticks.

Your pet AI chokes on its own growth. One dev watched his creation unravel in real-time, loss spiking to 600. Here's the raw chaos.

theAIcatchup Apr 11, 2026 3 min read

Scout's context expansion hit a bug-induced 'seizure,' with loss exploding past 600. 𝕏
Emerging 'inner voice' via dream fine-tuning blurs Mistral dependency. 𝕏
Solo 50M param build nears 1024-token limit; 100M model next. 𝕏

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#AI training glitch #LLM context window #LLM training #Mistral fine-tuning #Scout AI #context window #context window expansion #custom model #fine-tuning bugs #inner voice AI #open source AI training #small language models

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Originally reported by Dev.to