The high cost of Chain-of-Thought: Why AI reasoning needs a latent-space overhaul
By
Ben Dickson
Summary
The article argues that Chain-of-Thought (CoT) prompting for LLMs is a flawed, expensive paradigm that creates an illusion of reasoning. It highlights how major tech companies like Uber, Meta, and Amazon are hitting AI compute budget limits, suggesting the industry faces a sustainability crisis. The piece advocates for a shift toward latent-space reasoning models that are more efficient and truly capable of reasoning, rather than the token-heavy, step-by-step CoT approach that burns through budgets without delivering genuine intelligence.
Source
Twitter / XThe high cost of Chain-of-Thought: Why AI reasoning needs a latent-space overhaulbdtechtalks.substack.comKey quotes
· 4 pulledUber reportedly blew through its entire year's AI budget in months, forcing a drastic re-evaluation of its agentic workflows.
If tech giants with virtually limitless pockets are sweating the compute bill and hitting the brakes, the broader tech ecosystem faces an even steeper uphill climb.
Chain-of-Thought prompting is slow, expensive, and largely an illusion.
The future of machine reasoning happens in latent space.
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