In 2027 we will see Inference Deflation of 100× to 1,000×: Software harnesses, extreme quantization (e.g., 1-bit and 1.5-bit models running on 6GB memory), and silicon-etched weight chips (such as Taalas/AMD architectures outputting 15,000 tokens per second) will reduce inference costs by 100× to 1,000×, enabling high-tier reasoning on edge devices and smartwatches at brain-level energy efficiency.
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