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  "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
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      "text": "However, this process significantly reduces the monitorability of reasoning models, hindering many new CoT control methods that have emerged across the field.",
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      "text": "Forgoing the generation of language tokens dramatically cuts down on the computational resources needed to serve reasoning models at inference time",
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      "text": "Researchers from FAIR at META proposed a novel internal reasoning process that leverages an LLM's own residual stream instead of a decoding tokens to a Chain-of-Thought (CoT) scratchpad.",
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      "text": "COCONUT's high-dimensional CoT can also transmit richer traces that simultaneously encode multiple reasoning paths. This may cut down on the wasteful and excessively large rollouts seen in today's models.",
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