Why CEREBRO kept it

Claude Code harness token-reduction tweak; relevant, thin detail

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• 2026-10-17

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Shares tags: ai/llm-mechanics · cerebro/signal

• RT @ClaudeDevs: We keep improving performance across Claude, and you may have noticed it starts responding sooner! Claude Code now gzips the conversation it sends on every turn, so it reaches the modx · 2026-10-17
• YOUR LLM IS REPEATING WORK IT DOESN’T NEED TO REPEAT. That’s why KV cache matters. Imagine a conversation with 2,000 tokens of context. You add one more token. Without KV caching, the model recompx · 2026-10-17
• NVIDIA just shipped a 4B model that thinks in loops. Nemotron Labs Dory 1.0 is on Hugging Face. Same weights, you pick the compute: 1, 2 or 4 loops per token. No retrain. No model swap Dive in htx · 2026-10-17
• xerj-org/xerj: XERJ is the new way for AI to search data. Its autoindex capability activates agents to know your data without the token waste of grep and sed. One command indexes code, docs, logs andgithub · 2026-10-16
• Retrofitting language models to operate over byteshackernews · 2026-10-11
• ranxianglei/billion-context: A context-compression plugin for small context windows (a 100K context is enough), token savings (5x fewer tokens), and month-long single sessions (billions of tokens).上下文github · 2026-10-11

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